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lib.macos-x86_64.libopencv_java.jnilib Maven / Gradle / Ivy

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N2cv8opt_AVX219resizeNNInvokerAVX2EN2cv8opt_AVX219resizeNNInvokerAVX4E?????????????????????????????????      ??????????      ?????????????????????      ??????????????????????????????????????????????      ??????????????????????   ?????????????????????????????????      ??????????      ?????????????????????      ??????????????????????????????????????????????      ??????????????????????   ?????????????????????????????????      ??????????      ?????????????????????      ??????????????????????????????????????????????      ??????????????????????   ??????????????????????????????????????????????      ??????????????????????   ?????????????????????????????????      ??????????      ?????????????????????      ??????????????????????????????????????????????      ??????????????????????   ??????????????????????????????????????????????      ??????????????????????   ?????????????????????????????????      ??????????      ?????????????????????      ??????????????????????????????????????????????      ??????????????????????   ???????????   ??????????????????????????????????????      ??????????      ?????????????????????                                    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????????????????NSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumIhiEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumIhiEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumIhtEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumIhtEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumIhdEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumIhdEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumItiEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumItiEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumItdEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumItdEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumIsiEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumIsiEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumIiiEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumIiiEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumIsdEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumIsdEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumIfdEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumIfdEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_16RowSumIddEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_16RowSumIddEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIihEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIihEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIthEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIthEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIdhEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIdhEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIitEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIitEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIdtEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIdtEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIisEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIisEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIdsEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIdsEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIiiEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIiiEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIifEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIifEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIdfEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIdfEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIidEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIidEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIddEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19ColumnSumIddEENSt3__120__shared_ptr_emplaceIN2cv12FilterEngineENS_9allocatorIS2_EEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIhiEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIhiEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIhdEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIhdEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumItdEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumItdEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIsdEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIsdEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIfdEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIfdEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIddEENS_9allocatorIS5_EEEEN2cv8opt_AVX212_GLOBAL__N_19SqrRowSumIddEE                        NSt3__120__shared_ptr_emplaceIN2cv8opt_AVX218SymmRowSmallFilterIhiNS2_21SymmRowSmallVec_8u32sEEENS_9allocatorIS5_EEEEN2cv8opt_AVX218SymmRowSmallFilterIhiNS0_21SymmRowSmallVec_8u32sEEEN2cv8opt_AVX29RowFilterIhiNS0_21SymmRowSmallVec_8u32sEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX218SymmRowSmallFilterIffNS2_19SymmRowSmallVec_32fEEENS_9allocatorIS5_EEEEN2cv8opt_AVX218SymmRowSmallFilterIffNS0_19SymmRowSmallVec_32fEEEN2cv8opt_AVX29RowFilterIffNS0_19SymmRowSmallVec_32fEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterIhiNS2_12RowVec_8u32sEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterIhiNS0_12RowVec_8u32sEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterIhfNS2_12RowVec_8u32fEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterIhfNS0_12RowVec_8u32fEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterIhdNS2_8RowNoVecEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterIhdNS0_8RowNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterItfNS2_8RowNoVecEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterItfNS0_8RowNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterItdNS2_8RowNoVecEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterItdNS0_8RowNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterIsfNS2_13RowVec_16s32fEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterIsfNS0_13RowVec_16s32fEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterIsdNS2_8RowNoVecEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterIsdNS0_8RowNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterIffNS2_10RowVec_32fEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterIffNS0_10RowVec_32fEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterIfdNS2_8RowNoVecEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterIfdNS0_8RowNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX29RowFilterIddNS2_8RowNoVecEEENS_9allocatorIS5_EEEEN2cv8opt_AVX29RowFilterIddNS0_8RowNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_13FixedPtCastExIihEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_13FixedPtCastExIihEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_4CastIfhEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIfhEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_4CastIdhEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIdhEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_4CastIftEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIftEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_4CastIdtEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIdtEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_4CastIfsEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIfsEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_4CastIdsEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIdsEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_4CastIffEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIffEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX212ColumnFilterINS2_4CastIddEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIddEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX221SymmColumnSmallFilterINS2_13FixedPtCastExIihEENS2_19SymmColumnVec_32s8uEEENS_9allocatorIS7_EEEEN2cv8opt_AVX221SymmColumnSmallFilterINS0_13FixedPtCastExIihEENS0_19SymmColumnVec_32s8uEEEN2cv8opt_AVX216SymmColumnFilterINS0_13FixedPtCastExIihEENS0_19SymmColumnVec_32s8uEEEN2cv8opt_AVX212ColumnFilterINS0_13FixedPtCastExIihEENS0_19SymmColumnVec_32s8uEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX221SymmColumnSmallFilterINS2_4CastIisEENS2_25SymmColumnSmallVec_32s16sEEENS_9allocatorIS7_EEEEN2cv8opt_AVX221SymmColumnSmallFilterINS0_4CastIisEENS0_25SymmColumnSmallVec_32s16sEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIisEENS0_25SymmColumnSmallVec_32s16sEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIisEENS0_25SymmColumnSmallVec_32s16sEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX221SymmColumnSmallFilterINS2_4CastIffEENS2_22SymmColumnSmallVec_32fEEENS_9allocatorIS7_EEEEN2cv8opt_AVX221SymmColumnSmallFilterINS0_4CastIffEENS0_22SymmColumnSmallVec_32fEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIffEENS0_22SymmColumnSmallVec_32fEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIffEENS0_22SymmColumnSmallVec_32fEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_13FixedPtCastExIihEENS2_19SymmColumnVec_32s8uEEENS_9allocatorIS7_EEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIfhEENS2_19SymmColumnVec_32f8uEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIfhEENS0_19SymmColumnVec_32f8uEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIfhEENS0_19SymmColumnVec_32f8uEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIdhEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIdhEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIftEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIftEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIdtEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIdtEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIisEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIisEENS0_11ColumnNoVecEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIisEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIfsEENS2_20SymmColumnVec_32f16sEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIfsEENS0_20SymmColumnVec_32f16sEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIfsEENS0_20SymmColumnVec_32f16sEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIdsEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIdsEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIffEENS2_17SymmColumnVec_32fEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIffEENS0_17SymmColumnVec_32fEEEN2cv8opt_AVX212ColumnFilterINS0_4CastIffEENS0_17SymmColumnVec_32fEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX216SymmColumnFilterINS2_4CastIddEENS2_11ColumnNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX216SymmColumnFilterINS0_4CastIddEENS0_11ColumnNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIhNS2_4CastIfhEENS2_12FilterVec_8uEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIhNS0_4CastIfhEENS0_12FilterVec_8uEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIhNS2_4CastIftEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIhNS0_4CastIftEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIhNS2_4CastIfsEENS2_15FilterVec_8u16sEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIhNS0_4CastIfsEENS0_15FilterVec_8u16sEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIhNS2_4CastIffEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIhNS0_4CastIffEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIhNS2_4CastIddEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIhNS0_4CastIddEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DItNS2_4CastIftEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DItNS0_4CastIftEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DItNS2_4CastIffEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DItNS0_4CastIffEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DItNS2_4CastIddEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DItNS0_4CastIddEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIsNS2_4CastIfsEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIsNS0_4CastIfsEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIsNS2_4CastIffEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIsNS0_4CastIffEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIsNS2_4CastIddEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIsNS0_4CastIddEENS0_11FilterNoVecEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIfNS2_4CastIffEENS2_13FilterVec_32fEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIfNS0_4CastIffEENS0_13FilterVec_32fEEENSt3__120__shared_ptr_emplaceIN2cv8opt_AVX28Filter2DIdNS2_4CastIddEENS2_11FilterNoVecEEENS_9allocatorIS7_EEEEN2cv8opt_AVX28Filter2DIdNS0_4CastIddEENS0_11FilterNoVecEEE 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(3= :<7 (9E83WP>%8DmgM#7@Qhq\1@NWgyxeH\_bpdgc/ccccBcccc8ccccc/Bcccccccccccccccccccccccccccccccccccccc  }!1AQa"q2???#B??R??$3br? %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz?????????????????????????????????????????????????????????????????????????w!1AQaq"2?B???? #3R?br? $4?%?&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz????????????????????????????????????????????????????????????????????????@?X?SBK@I2?"??X!{?sbh?X?E 0~?S?sAmTb?S?AA-BKbhTb~XBK!;?(?@?X?SBK@I2?"?I2?E?A!;I2?'7? ?" 0A-?(?"7?? ?~??? ? ? @? @???????????????????????????????????????????????????? @? @???????????????????????????????????????????????????? @? @????????????????????????????????????????????????????@?>??0? ???1? ?=??B?r?N?~?A?q?M?}"??.??!??-?ݢb?R?n?^?a?Q?m?] ?:??6? ?9??5??J?z?F?v?I?y?E?u*??&??)??%?ժj?Z?f?V?i?Y?e?U     !(0)" #*1892+$%,3:;4-&'.5<=6/7>???????????????????????????????????????????@?X?SBK@I2?"??X!{?sbh?X?E 0~?S?sAmTb?S?AA-BKbhTb~XBK!;?(?@?X?SBK@I2?"?I2?E?A!;I2?'7? ?" 0A-?(?"7?? ?~??? ? ?????? (3= :<7 (9E83WP>%8DmgM#7@Qhq\1@NWgyxeH\_bpdgc/ccccBcccc8ccccc/Bcccccccccccccccccccccccccccccccccccccc  }!1AQa"q2???#B??R??$3br? %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz?????????????????????????????????????????????????????????????????????????w!1AQaq"2?B???? #3R?br? $4?%?&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz????????????????????????????????????????????????????????????????????????@?X?SBK@I2?"??X!{?sbh?X?E 0~?S?sAmTb?S?AA-BKbhTb~XBK!;?(?@?X?SBK@I2?"?I2?E?A!;I2?'7? ?" 0A-?(?"7?? ?~??? ? ? @? @????????????????????????????????????????????????????((((((((0000000088888888@@@@@@@@???????? @? @???????????????????????????????????????????????????? @? @????????????????????????????????????????????????????ԋ??@?>??0? ???1? ?=??B?r?N?~?A?q?M?}"??.??!??-?ݢb?R?n?^?a?Q?m?] ?:??6? ?9??5??J?z?F?v?I?y?E?u*??&??)??%?ժj?Z?f?V?i?Y?e?U     !(0)" #*1892+$%,3:;4-&'.5<=6/7>???????????????????????????????@?X?SBK@I2?"??X!{?sbh?X?E 0~?S?sAmTb?S?AA-BKbhTb~XBK!;?(?@?X?SBK@I2?"?I2?E?A!;I2?'7? ?" 0A-?(?"7?? ?~??? ? ? (3= :<7 (9E83WP>%8DmgM#7@Qhq\1@NWgyxeH\_bpdgc/ccccBcccc8ccccc/Bcccccccccccccccccccccccccccccccccccccc  }!1AQa"q2???#B??R??$3br? %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz?????????????????????????????????????????????????????????????????????????w!1AQaq"2?B???? #3R?br? $4?%?&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz????????????????????????????????????????????????????????????????????????;?O??n??'1?Z??@?X?SBK@I2?"??X!{?sbh?X?E 0~?S?sAmTb?S?AA-BKbhTb~XBK!;?(?@?X?SBK@I2?"?I2?E?A!;I2?'7? ?" 0A-?(?"7?? ?~??? ? ? @? @??????????????????????????????????????????????????????? @? @???????????????????????????????????????????????????? @? @????????????????????????????????????????????????????@?>??0? ???1? ?=??B?r?N?~?A?q?M?}"??.??!??-?ݢb?R?n?^?a?Q?m?] ?:??6? ?9??5??J?z?F?v?I?y?E?u*??&??)??%?ժj?Z?f?V?i?Y?e?U     !(0)" #*1892+$%,3:;4-&'.5<=6/7>?????????????????Istartendunknown exceptioncv::Exceptionorg/opencv/core/CvExceptionjava/lang/Exceptionjava/util/ArrayListadd(Ljava/lang/Object;)Zsizegetclear()VUnknown exception in JNI code {core::minMaxLoc()}Unknown exception in JNI code {core::getTextSize()}cv::Algorithm::Algorithm()/Users/runner/work/opencv/opencv/modules/core/src/algorithm.cppvirtual cv::Algorithm::~Algorithm()void cv::Algorithm::write(const Ptr &, const cv::String &) constvirtual void cv::Algorithm::save(const cv::String &) constvirtual cv::String cv::Algorithm::getDefaultName() constvoid cv::Algorithm::writeFormat(cv::FileStorage &) constformatNo element name has been givenoperator<</Users/runner/work/opencv/opencv/modules/core/include/opencv2/core/persistence.hppOPENCV_ENABLE_MEMALIGNFailed to allocate %llu bytesOutOfMemoryError/Users/runner/work/opencv/opencv/modules/core/src/alloc.cppvoid cv::bitwise_and(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray)/Users/runner/work/opencv/opencv/modules/core/src/arithm.cppvoid cv::bitwise_or(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray)void cv::bitwise_xor(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray)void cv::bitwise_not(cv::InputArray, cv::OutputArray, cv::InputArray)void cv::max(cv::InputArray, cv::InputArray, cv::OutputArray)void cv::min(cv::InputArray, cv::InputArray, cv::OutputArray)void cv::max(const cv::Mat &, const cv::Mat &, cv::Mat &)void cv::min(const cv::Mat &, const cv::Mat &, cv::Mat &)void cv::max(const cv::UMat &, const cv::UMat &, cv::UMat &)void cv::min(const cv::UMat &, const cv::UMat &, cv::UMat &)void cv::add(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray, int)void cv::subtract(cv::InputArray, cv::InputArray, cv::OutputArray, cv::InputArray, int)void cv::absdiff(cv::InputArray, cv::InputArray, cv::OutputArray)void cv::copyTo(cv::InputArray, cv::OutputArray, cv::InputArray)void cv::multiply(cv::InputArray, cv::InputArray, cv::OutputArray, double, int)void cv::divide(cv::InputArray, cv::InputArray, cv::OutputArray, double, int)void cv::divide(double, cv::InputArray, cv::OutputArray, int)void cv::addWeighted(cv::InputArray, double, cv::InputArray, double, double, cv::OutputArray, int)void cv::compare(cv::InputArray, cv::InputArray, cv::OutputArray, int)op == CMP_LT || op == CMP_LE || op == CMP_EQ || op == CMP_NE || op == CMP_GE || op == CMP_GTcompare_src1.empty() == _src2.empty()The operation is neither 'array op array' (where arrays have the same size and the same type), nor 'array op scalar', nor 'scalar op array'Unsupported depth value CV_16Fvoid cv::inRange(cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray)inRangeThe lower boundary is neither an array of the same size and same type as src, nor a scalarThe upper boundary is neither an array of the same size and same type as src, nor a scalarlbScalar == ubScalarlb.type() == ub.type()src.size == dst.size && src.type() == dst.type()cvNotsrc1.size == dst.size && src1.type() == dst.type()cvAndcvOrcvXorcvAndScvOrScvXorSsrc1.size == dst.size && src1.channels() == dst.channels()cvAddcvSubcvAddScvSubRScvMulsrc2.size == dst.size && src2.channels() == dst.channels()cvDivcvAddWeightedcvAbsDiffcvAbsDiffSsrc1.size == dst.size && dst.type() == CV_8UcvInRangecvInRangeScvCmpcvCmpScvMincvMaxcvMinScvMaxSbinary_opThe operation is neither 'array op array' (where arrays have the same size and type), nor 'array op scalar', nor 'scalar op array'psrc1->sameSize(*psrc2) && type1 == type2(mtype == CV_8U || mtype == CV_8S) && _mask.sameSize(*psrc1)-D %s%s -D %s%s -D dstT=%s -D DEPTH_dst=%d -D dstT_C1=%s -D workST=%s -D cn=%d -D rowsPerWI=%dMASK_UNARY_OPBINARY_OP -D DOUBLE_SUPPORTKFOP_ADDOP_SUBOP_RSUBOP_ABSDIFFOP_MULOP_MUL_SCALEOP_DIV_SCALEOP_RECIP_SCALEOP_ADDWOP_ANDOP_OROP_XOROP_NOTOP_MINOP_MAXOP_RDIV_SCALEThe operation is neither 'array op array' (where arrays have the same size and the same number of channels), nor 'array op scalar', nor 'scalar op array'arithm_optype2 == CV_64F && (sz2.height == 1 || sz2.height == 4)When the input arrays in add/subtract/multiply/divide functions have different types, the output array type must be explicitly specified(mtype == CV_8UC1 || mtype == CV_8SC1) && _mask.sameSize(*psrc1)-D %s%s -D %s -D srcT1=%s -D srcT1_C1=%s -D srcT2=%s -D srcT2_C1=%s -D dstT=%s -D DEPTH_dst=%d -D dstT_C1=%s -D workT=%s -D workST=%s -D scaleT=%s -D wdepth=%d -D convertToWT1=%s -D convertToWT2=%s -D convertToDT=%s%s -D cn=%d -D rowsPerWI=%d -D convertFromU=%snoconvertunsupported number of extra parametersocl_arithm_op==>>=<<=!=-D %s -D srcT1=%s -D dstT=%s -D DEPTH_dst=%d -D workT=srcT1 -D cn=%d -D convertToDT=%s -D OP_CMP -D CMP_OPERATOR=%s -D srcT1_C1=%s -D srcT2_C1=%s -D dstT_C1=%s -D workST=%s -D rowsPerWI=%d%socl_inRange%s-D cn=%d -D srcT=%s -D srcT1=%s -D dstT=%s -D kercn=%d -D depth=%d%s -D colsPerWI=%d-D HAVE_SCALAR inrangevoid cv::hal::cpu_baseline::add8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)/Users/runner/work/opencv/opencv/modules/core/src/arithm.simd.hppvoid cv::hal::cpu_baseline::add8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::cpu_baseline::add16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::cpu_baseline::add16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::cpu_baseline::add32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::cpu_baseline::add32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::cpu_baseline::add64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::cpu_baseline::sub8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::sub8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::cpu_baseline::sub16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::cpu_baseline::sub16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::cpu_baseline::sub32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::cpu_baseline::sub32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::cpu_baseline::sub64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::cpu_baseline::min8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::min8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::cpu_baseline::min16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::cpu_baseline::min16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::cpu_baseline::min32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::cpu_baseline::min32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::cpu_baseline::min64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::cpu_baseline::max8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::max8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::cpu_baseline::max16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::cpu_baseline::max16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::cpu_baseline::max32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::cpu_baseline::max32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::cpu_baseline::max64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::cpu_baseline::absdiff8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::absdiff8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::cpu_baseline::absdiff16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::cpu_baseline::absdiff16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::cpu_baseline::absdiff32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::cpu_baseline::absdiff32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::cpu_baseline::absdiff64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::cpu_baseline::or8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::xor8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::and8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::not8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::cmp8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::cmp8s(const schar *, size_t, const schar *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::cmp16u(const ushort *, size_t, const ushort *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::cmp16s(const short *, size_t, const short *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::cmp32s(const int *, size_t, const int *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::cmp32f(const float *, size_t, const float *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::cmp64f(const double *, size_t, const double *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::mul8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::cpu_baseline::mul8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::cpu_baseline::mul16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::cpu_baseline::mul16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::cpu_baseline::mul32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::cpu_baseline::mul32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::cpu_baseline::mul64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::cpu_baseline::div8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::cpu_baseline::div8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::cpu_baseline::div16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::cpu_baseline::div16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::cpu_baseline::div32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::cpu_baseline::div32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::cpu_baseline::div64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::cpu_baseline::addWeighted8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::cpu_baseline::addWeighted8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::cpu_baseline::addWeighted16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::cpu_baseline::addWeighted16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::cpu_baseline::addWeighted32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::cpu_baseline::addWeighted32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::cpu_baseline::addWeighted64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::cpu_baseline::recip8u(const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::cpu_baseline::recip8s(const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::cpu_baseline::recip16u(const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::cpu_baseline::recip16s(const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::cpu_baseline::recip32s(const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::cpu_baseline::recip32f(const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::cpu_baseline::recip64f(const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::add8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::add8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::add16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::add16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::add32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::add32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::add64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)void cv::hal::sub8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::sub8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::sub16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::sub16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::sub32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::sub32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::sub64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)void cv::hal::min8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::min8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::min16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::min16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::min32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::min32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::min64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)void cv::hal::max8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::max8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::max16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::max16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::max32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::max32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::max64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)void cv::hal::absdiff8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::absdiff8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::absdiff16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::absdiff16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::absdiff32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::absdiff32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::absdiff64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)void cv::hal::or8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::xor8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::and8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::not8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::cmp8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::cmp8s(const schar *, size_t, const schar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::cmp16u(const ushort *, size_t, const ushort *, size_t, uchar *, size_t, int, int, void *)void cv::hal::cmp16s(const short *, size_t, const short *, size_t, uchar *, size_t, int, int, void *)void cv::hal::cmp32s(const int *, size_t, const int *, size_t, uchar *, size_t, int, int, void *)void cv::hal::cmp32f(const float *, size_t, const float *, size_t, uchar *, size_t, int, int, void *)void cv::hal::cmp64f(const double *, size_t, const double *, size_t, uchar *, size_t, int, int, void *)void cv::hal::mul8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::mul8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::mul16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::mul16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::mul32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::mul32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::mul64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)void cv::hal::div8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::div8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::div16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::div16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::div32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::div32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::div64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)void cv::hal::addWeighted8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::addWeighted8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::addWeighted16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::addWeighted16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::addWeighted32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::addWeighted32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::addWeighted64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)void cv::hal::recip8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, void *)void cv::hal::recip8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, void *)void cv::hal::recip16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, void *)void cv::hal::recip16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, void *)void cv::hal::recip32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, void *)void cv::hal::recip32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, void *)void cv::hal::recip64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, void *)cmp_loopEither all the pointers should be null or they all should be non-nullcvSetIPLAllocators/Users/runner/work/opencv/opencv/modules/core/src/array.cppNon-positive width or heightcvCreateMatHeaderInvalid matrix typecvInitMatHeaderNon-positive cols or rowscvReleaseMatBad CvMat headercvCloneMatNULL matrix header pointercvInitMatNDHeaderinvalid array data typeNULL pointernon-positive or too large number of dimensionsone of dimension sizes is non-positiveThe array is too bigcvCreateMatNDHeaderBad CvMatND headercvCloneMatNDsrc->dims <= CV_MAX_DIM_dst.data == data0Incorrect number of arrayscvInitNArrayIteratorSome of required array pointers is NULLIterator pointer is NULLIterator with mask is not supportedCOI set is not allowed hereNumber of dimensions is the same for all arraysData type is not the same for all arraysNumber of channels is not the same for all arraysDepth is not the same for all arraysDimension sizes are the same for all arrayscvNextNArraySlicecvCreateSparseMatbad number of dimensionscvReleaseSparseMatInvalid sparse array headercvCloneSparseMatInvalid sparse matrix headercvInitSparseMatIteratorNULL iterator pointerData is already allocatedcvCreateDataOverflow for imageSizeunrecognized or unsupported array typecvSetDataFor multidimensional array only CV_AUTOSTEP is allowed herecvReleaseDataOnly continuous nD arrays are supported herecvGetRawDatacvGetElemTypecvGetDimsbad dimension indexcvGetDimSizeArray should be CvMat or IplImagecvGetSizecvGetSubRectcvGetRowscvGetColscvGetDiagcvScalarToRawDataThe number of channels must be 1, 2, 3 or 4cvRawDataToScalarindex is out of rangecvPtr1DcvPtr2DCOI must be non-null in case of planar images((CvSparseMat*)arr)->dims == 2cvPtr3DNULL pointer to indicescvPtrNDcvGet1DcvGet2DcvGetReal1DcvGetReal* support only single-channel arrayscvGetReal2DcvGetReal3DcvGetRealNDcvSet1DcvSet2DcvSetReal1DcvSetReal* support only single-channel arrayscvSetReal2DcvSetReal3DcvSetRealNDNULL array pointer is passedcvGetMatThe matrix has NULL data pointerThe image has NULL data pointerImages with planar data layout should be used with COI selectedThe image is interleaved and has over CV_CN_MAX channelsPixel order should be used with coi == 0Input array has NULL data pointerUnrecognized or unsupported array typeNULL pointer to array or destination headercvReshapeMatNDNone of array parameters is changed: dummy call?Non-positive or too large number of dimensionsNew dimension sizes are not specifiedThe output header should be CvMat or CvMatNDThe matrix is not continuous so the number of rows can not be changedThe total number of matrix elements is not divisible by the new number of rowsThe total matrix width is not divisible by the new number of columnsThe output header should be CvMatNDThe input array must be CvMatNDThe last dimension full size is not divisible by new number of channelsSimultaneous change of shape and number of channels is not supported. Do it by 2 separate callsNon-continuous nD arrays are not supportedOne of new dimension sizes is non-positiveNumber of elements in the original and reshaped array is differentCOI is not supported by this operationcvReshapeCOI is not supportedThe matrix is not continuous, thus its number of rows can not be changedBad new number of rowsThe total width is not divisible by the new number of channelscvGetImagecvCreateImagenull pointer to headercvInitImageHeaderUnsupported formatBad input origincvReleaseImageHeadercvReleaseImagecvSetImageROIrect.width >= 0 && rect.height >= 0 && rect.x < image->width && rect.y < image->height && rect.x + rect.width >= (int)(rect.width > 0) && rect.y + rect.height >= (int)(rect.height > 0)cvResetImageROINull pointer to imagecvGetImageROIcvSetImageCOIcvGetImageCOIBad image headercvCloneImageUnknown type of term criteriacvCheckTermCriteriaIterations flag is set and maximum number of iterations is <= 0Accuracy flag is set and epsilon is < 0Neither accuracy nor maximum iterations number flags are set in criteria typeNULL double pointercvReleaseUnknown object typeNULL structure pointercvClonecvGetMatNDCV_IS_SPARSE_MAT( mat )icvGetNodePtrOne of indices is out of range(newsize & (newsize - 1)) == 0icvDeleteNodeGRAYRGBBGRBGRA/Users/runner/work/opencv/opencv/modules/core/src/async.cppwait_forgetArrayResultsetExceptionAsynchronous result has not been fetched~Impl!result_is_fetchedAsynchronous result producer has been destroyedAsyncArray: invalid state of 'has_result = true'Waiting for async result ...refcount_future == 0Associated AsyncArray has been destroyedvoid cv::batchDistance(cv::InputArray, cv::InputArray, cv::OutputArray, int, cv::OutputArray, int, int, cv::InputArray, int, bool)/Users/runner/work/opencv/opencv/modules/core/src/batch_distance.cpptype == src2.type() && src1.cols == src2.cols && (type == CV_32F || type == CV_8U)batchDistance_nidx.needed() == (K > 0)(type == CV_8U && dtype == CV_32S) || dtype == CV_32FK == 1 && update == 0 && mask.empty()The combination of type=%d, dtype=%d and normType=%d is not supportedInputArray: noArray()InputArray: empty()=true empty()=false kind=0x%08llx flags=0x%08llx obj=NULL total(-1)=%lld dims(-1)=%d size(-1)=%dx%d size(-1)=[] type(-1)= ERROR: exception occurred, dump is non-completeInputArrayOfArrays: noArray()InputArrayOfArrays: type(0)= dims(0)=%d size(0)=%dx%d size(0)=[InputOutputArray: noArray()InputOutputArray:InputOutputArrayOfArrays: noArray()InputOutputArrayOfArrays:downloadsOPENCV_DOWNLOADS_CACHE_DIR, [x=, y=, w=, h=OPENCV_BUFFER_AREA_ALWAYS_SAFEcommit/Users/runner/work/opencv/opencv/modules/core/src/buffer_area.cppptr && *ptr == NULLBlockreal_allocatereinterpret_cast(*ptr) % alignment == 0static_cast(*ptr) + type_size * count <= static_cast(raw_mem) + type_size * allocated_countoperator==zeroFillfast_allocatereinterpret_cast(buf) % alignment == 0cleanupvoid cv::mixChannels(const cv::Mat *, size_t, cv::Mat *, size_t, const int *, size_t)/Users/runner/work/opencv/opencv/modules/core/src/channels.cppsrc && nsrcs > 0 && dst && ndsts > 0 && fromTo && npairs > 0mixChannelsj < nsrcs && src[j].depth() == depthi1 >= 0 && j < ndsts && dst[j].depth() == depthvoid cv::mixChannels(cv::InputArrayOfArrays, cv::InputOutputArrayOfArrays, const int *, size_t)nsrc > 0 && ndst > 0void cv::mixChannels(cv::InputArrayOfArrays, cv::InputOutputArrayOfArrays, const std::vector &)fromTo.size()%2 == 0 && nsrc > 0 && ndst > 0void cv::extractChannel(cv::InputArray, cv::OutputArray, int)0 <= coi && coi < cnextractChannelvoid cv::insertChannel(cv::InputArray, cv::InputOutputArray, int)_src.sameSize(_dst) && sdepth == ddepthinsertChannel0 <= coi && coi < dcn && scn == 1ocl_mixChannelssrc[i].size() == size && src[i].depth() == depthdst[i].size() == size && dst[i].depth() == depthdst_idx >= 0 && src_idx >= 0DECLARE_INPUT_MAT(%zu)DECLARE_OUTPUT_MAT(%zu)DECLARE_INDEX(%zu)PROCESS_ELEM(%zu) -D scn%zu=%d -D dcn%zu=%d-D T=%s -D DECLARE_INPUT_MAT_N=%s -D DECLARE_OUTPUT_MAT_N=%s -D PROCESS_ELEM_N=%s -D DECLARE_INDEX_N=%s%sCV_8UCV_8SCV_16UCV_16SCV_32SCV_32FCV_64FCV_16F%sC%d (expected: ''), where '' is ()must be :'where???{custom check}equal tonot equal toless than or equal toless thangreater than or equal togreater than[ x Missing parameter: '' Parameter '': undeclared key '%s' requestedgetByName/Users/runner/work/opencv/opencv/modules/core/src/command_line_parser.cppMissing parameter #%d Parameter #%d: undeclared position %d requestedgetByIndex/\Field KEYS could not be empty has ERRORS: %s Usage: %s [params] %s --%s (value:%s) %s error in split_range_string(unknown/unsupported parameter typefrom_strcan not convert: [%s] to [%s]intboolunsignedunsigned long longfloatdoublestringunknown_Function.empty()==falseminimize/Users/runner/work/opencv/opencv/modules/core/src/conjugate_gradient.cppMIN(x_mat.rows,x_mat.cols)==1x_mat.type()==CV_64FC1(termcrit.type==(TermCriteria::MAX_ITER+TermCriteria::EPS) && termcrit.epsilon>0 && termcrit.maxCount>0) || ((termcrit.type==TermCriteria::MAX_ITER) && termcrit.maxCount>0)setTermCriteriaDataType<_Tp>::channels == m.channels() || m.empty()operator=/Users/runner/work/opencv/opencv/modules/core/include/opencv2/core/mat.inl.hppvoid cv::hal::cpu_baseline::cvt16f32f(const cv::float16_t *, float *, int)/Users/runner/work/opencv/opencv/modules/core/src/convert.simd.hppvoid cv::hal::cpu_baseline::cvt32f16f(const float *, cv::float16_t *, int)void cv::hal::cpu_baseline::addRNGBias32f(float *, const float *, int)void cv::hal::cpu_baseline::addRNGBias64f(double *, const double *, int)void cv::hal::cvt16f32f(const cv::float16_t *, float *, int)/Users/runner/work/opencv/opencv/modules/core/src/convert.dispatch.cppvoid cv::hal::cvt32f16f(const float *, cv::float16_t *, int)void cv::hal::addRNGBias32f(float *, const float *, int)void cv::hal::addRNGBias64f(double *, const double *, int)cv::BinaryFunc cv::getConvertFunc(int, int)void cv::Mat::convertTo(cv::OutputArray, int, double, double) constconvertTovoid cv::convertFp16(cv::InputArray, cv::OutputArray)ddepth == CV_16S || ddepth == CV_16FconvertFp16_dst.channels() == _src.channels()Unsupported input depthvoid cv::cpu_baseline::cvt8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8s8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16u8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16s8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32s8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32f8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt64f8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16f8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8u8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16u8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16s8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32s8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt64f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8u16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32f16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt64f16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16f16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8u16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8s16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16u16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32s16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32f16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt64f16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16f16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8u32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8s32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16u32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16s32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32f32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt64f32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16f32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8u32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8s32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16u32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16s32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32s32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt64f32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16f32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8u64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8s64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16u64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16s64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32s64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32f64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt64s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16f64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8u16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt8s16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16u16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt16s16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32s16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt32f16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::cpu_baseline::cvt64f16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)-D HALF_SUPPORT -D srcT=%s -D dstT=%s -D rowsPerWI=%d%shalf -D FLOAT_TO_HALF convertFp16_FP32_to_FP16convertFp16_FP16_to_FP32cvSplit/Users/runner/work/opencv/opencv/modules/core/src/convert_c.cppdvec[j].size() == src.size()dvec[j].depth() == src.depth()dvec[j].channels() == 1i < src.channels()cvMergesvec[j].size == dst.size && svec[j].depth() == dst.depth() && svec[j].channels() == 1 && i < dst.channels()src.size == dst.size && dst.type() == CV_8UC(src.channels())cvConvertScaleAbssrc.size == dst.size && src.channels() == dst.channels()cvConvertScaledst.size() == src.size() && dst.type() == CV_MAKETYPE(lut.depth(), src.channels())cvLUTdst.size() == src.size() && src.channels() == dst.channels()cvNormalizecv::BinaryFunc cv::getConvertScaleFunc(int, int)/Users/runner/work/opencv/opencv/modules/core/src/convert_scale.dispatch.cppvoid cv::convertScaleAbs(cv::InputArray, cv::OutputArray, double, double)convertScaleAbs-D OP_CONVERT_SCALE_ABS -D UNARY_OP -D dstT=%s -D DEPTH_dst=%d -D srcT1=%s -D workT=%s -D wdepth=%d -D convertToWT1=%s -D convertToDT=%s -D workT1=%s -D rowsPerWI=%d%scv::BinaryFunc cv::getCvtScaleAbsFunc(int)void cv::scalarToRawData(const cv::Scalar &, void *, int, int)/Users/runner/work/opencv/opencv/modules/core/src/copy.cppscalarToRawDataconvertAndUnrollScalarvoid cv::Mat::copyTo(cv::OutputArray) constchannels() == CV_MAT_CN(dtype)copyTodims > 0 && dims < CV_MAX_DIMsz.width0void cv::Mat::copyTo(cv::OutputArray, cv::InputArray) constmask.depth() == CV_8U && (mcn == 1 || mcn == cn)size() == mask.size()cv::Mat &cv::Mat::operator=(const cv::Scalar &)sz <= sizeof(scalar)cv::Mat &cv::Mat::setTo(cv::InputArray, cv::InputArray)checkScalar(value, type(), _value.kind(), _InputArray::MAT )setTomask.empty() || (mask.depth() == CV_8U && (mcn == 1 || mcn == cn) && size == mask.size)void cv::repeat(cv::InputArray, int, int, cv::OutputArray)_src.getObj() != _dst.getObj()repeat_src.dims() <= 2ny > 0 && nx > 0borderInterpolateUnknown/unsupported border typevoid cv::copyMakeBorder(cv::InputArray, cv::OutputArray, int, int, int, int, int, const cv::Scalar &)top >= 0 && bottom >= 0 && left >= 0 && right >= 0 && _src.dims() <= 2copyMakeBordervalue[0] == value[1] && value[0] == value[2] && value[0] == value[3]cvCopysrc.depth() == dst.depth() && src.size == dst.size(coi1 != 0 || src.channels() == 1) && (coi2 != 0 || dst.channels() == 1)src.channels() == dst.channels()src.type() == dst.type() && src.size() == dst.size()cvFlipsrc.type() == dst.type() && dst.rows % src.rows == 0 && dst.cols % src.cols == 0cvRepeatBORDER_CONSTANTBORDER_REPLICATEBORDER_REFLECTBORDER_WRAPBORDER_REFLECT_101-D T=%s -D %s -D T1=%s -D cn=%d -D ST=%s -D rowsPerWI=%dint cv::countNonZero(cv::InputArray)/Users/runner/work/opencv/opencv/modules/core/src/count_non_zero.dispatch.cppcountNonZerosrc.channels() == 1 && src.dims == 2findNonZeroreduce-D srcT=%s -D srcT1=%s -D cn=1 -D OP_COUNT_NON_ZERO -D WGS=%d -D kercn=%d -D WGS2_ALIGNED=%d%s%s -D HAVE_SRC_CONTcv::CountNonZeroFunc cv::getCountNonZeroTab(int)0 <= rowRange_.start && rowRange_.start <= rowRange_.end && rowRange_.end <= m.rowsGpuMat/Users/runner/work/opencv/opencv/modules/core/src/cuda_gpu_mat.cpp0 <= colRange_.start && colRange_.start <= colRange_.end && colRange_.end <= m.cols0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rowsreshapeThe library is compiled without CUDA supportthrow_no_cuda/Users/runner/work/opencv/opencv/modules/core/include/opencv2/core/private.cuda.hpp_step.empty() || _size.size() == _step.size() + 1GpuMatND/Users/runner/work/opencv/opencv/modules/core/src/cuda_gpu_mat_nd.cppdims == (int)ranges.size()operator()r == Range::all() || (0 <= r.start && r.start < r.end && r.end <= size[i])(int)idx.size() == dims - 2createGpuMatHeaderEffectively2D(*this)size.size() == step.size()setFieldsstep.back() == elemSize()/Users/runner/work/opencv/opencv/modules/core/src/cuda_host_mem.cppcvCreateChildMemStorage/Users/runner/work/opencv/opencv/modules/core/src/datastructs.cppcvReleaseMemStoragecvClearMemStoragecvSaveMemStoragePoscvRestoreMemStoragePosNULL storage pointercvMemStorageAllocToo large memory block is requestedstorage->free_space % CV_STRUCT_ALIGN == 0requested size is negative or too big(size_t)ptr % CV_STRUCT_ALIGN == 0cvCreateSeqSpecified element size doesn't match to the size of the specified element type (try to use 0 for element type)cvSetSeqBlockSizeStorage block size is too small to fit the sequence elementscvSeqElemIdxcvCvtSeqToArraycvMakeSeqHeaderForArrayElement size doesn't match to the size of predefined element type (try to use 0 for sequence element type)cvStartAppendToSeqcvStartWriteSeqcvFlushSeqWriterwriter->block->count > 0cvEndWriteSeqcvCreateSeqBlockcvStartReadSeqcvChangeSeqBlockcvGetSeqReaderPoscvSetSeqReaderPoscvSeqPushptr + elem_size <= seq->block_maxcvSeqPopseq->ptr == seq->block_maxcvSeqPushFrontblock->start_index > 0cvSeqPopFrontcvSeqInsertptr <= seq->block_maxblock != seq->first->prevblock != seq->firstcvSeqRemoveNULL sequence pointercvSeqPushMultinumber of removed elements is negativecvSeqPopMulticvClearSeqInvalid sequence headercvSeqSliceBad sequence slicecvSeqRemoveSlicestart slice index is out of rangeInvalid destination sequence headercvSeqInsertSliceSource is not a sequence nor matrixThe source array must be 1d continuous vectorSource and destination sequence element sizes are different.Bad input sequencecvSeqSortNull compare functioncvSeqSearchNull element pointercvSeqPartitionroot->parent == 0cvCreateSetcvSetAddcount <= CV_SET_ELEM_IDX_MASK+1cvSetRemovecvCreateGraphcvClearGraphcvGraphAddVtxcvGraphRemoveVtxByPtrThe vertex does not belong to the graphcvGraphRemoveVtxThe vertex is not foundcvFindGraphEdgeByPtrofs == 1 || start_vtx == edge->vtx[0]graph pointer is NULLcvFindGraphEdgecvGraphAddEdgeByPtrvertex pointers coincide (or set to NULL)edge->flags >= 0cvGraphAddEdgecvGraphRemoveEdgeByPtrofs == 1 || end_vtx == edge->vtx[0]cvGraphRemoveEdgecvGraphVtxDegreeByPtrcvGraphVtxDegreeNull graph pointercvCreateGraphScannergraph->storage != 0Null double pointer to graph scannercvReleaseGraphScannerNull graph scannercvNextGraphItemInvalid graph pointercvCloneGraphcvTreeToNodeSeqcvInsertNodeIntoTreeparent->v_next != nodecvRemoveNodeFromTreeframe node could not be deletedparent->v_next == nodecvInitTreeNodeIteratorcvNextTreeNodecvPrevTreeNodeicvInitMemStorageicvDestroyMemStorageicvGoNextMemBlockparent->bottom == blockicvGrowSeqThe sequence has NULL storage pointerstorage->free_space >= deltablock->count % seq->elem_size == 0 && block->count > 0seq->first->start_index == 0(in_front_of ? block : block->prev)->count == 0icvFreeSeqBlockseq->ptr == block->datablock->count > 0 && block->count % seq->elem_size == 0icvSeqElemsClearFlagsicvSeqFindNextElemOpenCV was build without DirectX supportgetTypeFromDXGI_FORMAT/Users/runner/work/opencv/opencv/modules/core/src/directx.cppgetTypeFromD3DFORMATinitializeContextFromD3D11DeviceinitializeContextFromD3D10DeviceinitializeContextFromDirect3DDevice9ExinitializeContextFromDirect3DDevice9convertToD3D11Texture2DconvertFromD3D11Texture2DconvertToD3D10Texture2DconvertFromD3D10Texture2DconvertToDirect3DSurface9convertFromDirect3DSurface9termcrit.type == (TermCriteria::MAX_ITER + TermCriteria::EPS) && termcrit.epsilon > 0 && termcrit.maxCount > 0/Users/runner/work/opencv/opencv/modules/core/src/downhill_simplex.cpp!_Function.empty()std::min(_step.cols, _step.rows) == 1 && std::max(_step.cols, _step.rows) >= 2 && _step.type() == CV_64FC1_Function->getDims() == ndimcreateInitialSimplex(x.cols == 1 && x.rows == ndim) || (x.cols == ndim && x.rows == 1)x.type() == CV_32F || x.type() == CV_64FinnerDownhillSimplex!cvIsNaN(res) && !cvIsInf(res)calc_fcoord_sum.cols == n && coord_sum.rows == 1updateCoordSumThis mode (using nonzero_rows with a single-column matrix) breaks the function's logic, so it is prohibited. For fast convolution/correlation use 2-column matrix or single-row matrix insteadcreate/Users/runner/work/opencv/opencv/modules/core/src/dxt.cppvoid cv::dft(cv::InputArray, cv::OutputArray, int, int)type == CV_32FC1 || type == CV_32FC2 || type == CV_64FC1 || type == CV_64FC2dft!((flags & DFT_COMPLEX_INPUT) && src.channels() != 2)void cv::idft(cv::InputArray, cv::OutputArray, int, int)void cv::mulSpectrums(cv::InputArray, cv::InputArray, cv::OutputArray, int, bool)type == srcB.type() && srcA.size() == srcB.size()mulSpectrumsvoid cv::dct(cv::InputArray, cv::OutputArray, int)type == CV_32FC1 || type == CV_64FC1dctvoid cv::idct(cv::InputArray, cv::OutputArray, int)src.size == dst.sizecvDFTdst.data == dst0.datasrcA.size == dst.size && srcA.type() == dst.type()cvMulSpectrumscvDCTapplyDFTInitelem_size == sizeof(Complex)DFT(unsigned)k0 < (unsigned)n && (unsigned)k1 < (unsigned)nc.factors[0] == c.factors[c.nf-1](unsigned)j < (unsigned)n2(unsigned)j < (unsigned)nRealDFTCCSIDFTcolDftInvalid FFT input or output formatdetermineFFTTypedft_depth == CV_32F || dft_depth == CV_64FOCL_FftPlanfft_radix%d_B%d(smem,twiddles+%d,ind,%d,%d);fft_radix%d(smem,twiddles+%d,ind,%d,%d);-D LOCAL_SIZE=%d -D kercn=%d -D FT=%s -D CT=%s%s -D RADIX_PROCESS=%sfft_multi_radix_rowsifft_multi_radix_rows -D DFT_SCALEfft_multi_radix_colsifft_multi_radix_cols -D REAL_INPUT -D COMPLEX_INPUT -D REAL_OUTPUT -D COMPLEX_OUTPUT -D IS_1D -D NO_CONJUGATE -D EVENocl_mulSpectrumsA.size() == B.size()mulAndScaleSpectrums-D CONJOdd-size DCT's are not implementedDCTInitThe library is compiled without OpenGL supportbool cv::utils::fs::isDirectory(const cv::String &)/Users/runner/work/opencv/opencv/modules/core/src/glob.cppvoid cv::glob(cv::String, std::vector &, bool).could not open directory: %sglob_recOPENCV_KMEANS_PARALLEL_GRANULARITYdouble cv::kmeans(cv::InputArray, int, cv::InputOutputArray, cv::TermCriteria, int, int, cv::OutputArray)/Users/runner/work/opencv/opencv/modules/core/src/kmeans.cppdata0.dims <= 2 && type == CV_32F && K > 0kmeansNumber of clusters should be more than number of elementsNK(best_labels.cols == 1 || best_labels.rows == 1) && best_labels.cols*best_labels.rows == N && best_labels.type() == CV_32S && best_labels.isContinuous()(unsigned)_labels.at(i) < (unsigned)Kcounters[k] != 0void cv::generateCentersPP(const cv::Mat &, cv::Mat &, int, cv::RNG &, int)kmeans: can't update cluster center (check input for huge or NaN values)generateCentersPPvirtual void cv::KMeansPPDistanceComputer::operator()(const cv::Range &) constvirtual void cv::KMeansDistanceComputer::operator()(const cv::Range &) const [onlyDistance = true]virtual void cv::KMeansDistanceComputer::operator()(const cv::Range &) const [onlyDistance = false]int cv::LU(float *, size_t, int, float *, size_t, int)/Users/runner/work/opencv/opencv/modules/core/src/lapack.cppint cv::LU(double *, size_t, int, double *, size_t, int)bool cv::Cholesky(float *, size_t, int, float *, size_t, int)bool cv::Cholesky(double *, size_t, int, double *, size_t, int)HAL implementation SVD32f ==> lapack_SVD32f returned %d (0x%08x)SVD32fHAL implementation SVD64f ==> lapack_SVD64f returned %d (0x%08x)SVD64fdouble cv::determinant(cv::InputArray)determinantmat.rows == mat.cols && (type == CV_32F || type == CV_64F)double cv::invert(cv::InputArray, cv::OutputArray, int)type == CV_32F || type == CV_64Finvertmethod == DECOMP_LU || method == DECOMP_CHOLESKYbool cv::solve(cv::InputArray, cv::InputArray, cv::OutputArray, int)type == _src2.type() && (type == CV_32F || type == CV_64F)solveUnsupported method, see #DecompTypesmethodmethod == DECOMP_LU || method == DECOMP_SVD || method == DECOMP_EIG || method == DECOMP_CHOLESKY || method == DECOMP_QR(method != DECOMP_LU && method != DECOMP_CHOLESKY) || is_normal || src.rows == src.colsThe function can not solve under-determined linear systemsbool cv::eigen(cv::InputArray, cv::OutputArray, cv::OutputArray)src.rows == src.colseigenstatic void cv::SVD::compute(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, int)static void cv::SVD::compute(cv::InputArray, cv::OutputArray, int)w.type() == u.type() && u.type() == vt.type() && u.data && vt.data && w.databackSubstu.cols >= nm && vt.rows >= nm && (w.size() == Size(nm, 1) || w.size() == Size(1, nm) || w.size() == Size(vt.rows, u.cols))rhs.data == 0 || (rhs.type() == type && rhs.rows == m)void cv::SVDecomp(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, int)void cv::SVBackSubst(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray)rows == mat->colscvDetsrc.type() == dst.type() && src.rows == dst.cols && src.cols == dst.rowscvInvertA.type() == x.type() && A.cols == x.rows && x.cols == b.colscvSolvep == evects0.ptr()cvEigenVVp == evals0.ptr()w.type() == type && (w.size() == cv::Size(nm,1) || w.size() == cv::Size(1, nm) || w.size() == cv::Size(nm, nm) || w.size() == cv::Size(n, m))cvSVDu.type() == typev.type() == typeu.size() == svd.u.size()v.size() == svd.vt.size()cvSVBkSb_SVDcomputeWrong shapes for given matrices. Was size(src) = (%d,%d), size(W) = (%d,%d).subspaceProject/Users/runner/work/opencv/opencv/modules/core/src/lda.cppWrong mean shape for the given data matrix. Expected %d, but was %zu.subspaceReconstructWrong mean shape for the given eigenvector matrix. Expected %d, but was %zu.void cv::eigenNonSymmetric(cv::InputArray, cv::OutputArray, cv::OutputArray)eigenNonSymmetriceigenvalues64f.size() == n(size_t)eigenvectors64f.rows == n(size_t)eigenvectors64f.cols == nFile can't be opened for writing!saveFile can't be opened for reading!loadnum_componentseigenvalueseigenvectorsAt least two classes are needed to perform a LDA. Reason: Only one class was given!ldaThe number of samples must equal the number of labels. Given %zu labels, %d samples. Warning: Less observations than feature dimension given!Computation will probably fail.InputArray Datatype %d is not supported.computevoid cv::EigenvalueDecomposition::compute(cv::InputArray, bool)hqr2Algorithm doesn't converge (complex eigen values?)Wrong shape of input matrix! Expected a matrix with one row or column.argsortcv::sortColumnsByIndices only works on integer indices!sortMatrixColumnsByIndicesThe data is expected as InputArray::STD_VECTOR_MAT (a std::vector) or _InputArray::STD_VECTOR_VECTOR (a std::vector< std::vector<...> >).asRowMatrixWrong number of elements in matrix #%d! Expected %d was %d.global%d@%0.3f%d@%llu%d[FATAL:] [ERROR:[ WARN:[ INFO:[DEBUG:() OPENCV_LOG_LEVELOPENCV_LOG_TIMESTAMPOPENCV_LOG_TIMESTAMP_NSFunc_.type()==CV_64FC1 || Func_.type()==CV_32FC1solveLP/Users/runner/work/opencv/opencv/modules/core/src/lpsolver.cppConstr_.type()==CV_64FC1 || Constr_.type()==CV_32FC1(Func_.rows()==1 && (Constr_.cols()-Func_.cols()==1))|| (Func_.cols()==1 && (Constr_.cols()-Func_.rows()==1))int cv::solveLP(cv::InputArray, cv::InputArray, cv::OutputArray)z_.type()z_.type() == CV_64FC1 || z_.type() == CV_32FC1 || z_.type() == CV_32SC1MatConstIteratorvoid cv::LUT(cv::InputArray, cv::InputArray, cv::OutputArray)/Users/runner/work/opencv/opencv/modules/core/src/lut.cpp(lutcn == cn || lutcn == 1) && _lut.total() == 256 && _lut.isContinuous() && (depth == CV_8U || depth == CV_8S)LUT-D dcn=%d -D lcn=%d -D srcT=%s -D dstT=%sfloat cv::cubeRoot(float)/Users/runner/work/opencv/opencv/modules/core/src/mathfuncs.cppvoid cv::magnitude(cv::InputArray, cv::InputArray, cv::OutputArray)src1.size() == src2.size() && type == src2.type() && (depth == CV_32F || depth == CV_64F)magnitudevoid cv::phase(cv::InputArray, cv::InputArray, cv::OutputArray, bool)phasevoid cv::cartToPolar(cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, bool)X.size == Y.size && type == Y.type() && (depth == CV_32F || depth == CV_64F)cartToPolarvoid cv::polarToCart(cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, bool)(depth == CV_32F || depth == CV_64F) && (src1.empty() || src1.type() == type)polarToCartMag.empty() || Angle.size == Mag.sizevoid cv::exp(cv::InputArray, cv::OutputArray)depth == CV_32F || depth == CV_64Fexpvoid cv::log(cv::InputArray, cv::OutputArray)logvoid cv::pow(cv::InputArray, double, cv::OutputArray)powvoid cv::sqrt(cv::InputArray, cv::OutputArray)bool cv::checkRange(cv::InputArray, bool, cv::Point *, double, double)checkRangethe value at (%d, %d)=%s is out of range [%f, %f)void cv::patchNaNs(cv::InputOutputArray, double)_a.depth() == CV_32FpatchNaNsMag.size() == X.size() && Mag.type() == X.type()cvCartToPolarAngle.size() == X.size() && Angle.type() == X.type()Mag.size() == Angle.size() && Mag.type() == Angle.type()cvPolarToCartX.size() == Angle.size() && X.type() == Angle.type()Y.size() == Angle.size() && Y.type() == Angle.type()src.type() == dst.type() && src.size == dst.sizecvExpcvLogcvPowint cv::solveCubic(cv::InputArray, cv::OutputArray)ctype == CV_32F || ctype == CV_64FsolveCubic(coeffs.size() == Size(n0, 1) || coeffs.size() == Size(n0+1, 1) || coeffs.size() == Size(1, n0) || coeffs.size() == Size(1, n0+1))double cv::solvePoly(cv::InputArray, cv::OutputArray, int)CV_MAT_DEPTH(ctype) >= CV_32F && CV_MAT_CN(ctype) <= 2solvePolycoeffs0.rows == 1 || coeffs0.cols == 1_roots.data == _roots0.datacvSolveCubic_r.data == _r0.datacvSolvePoly-D %s -D %s -D dstT=%s -D DEPTH_dst=%d -D rowsPerWI=%d%sOP_LOGOP_EXPOP_MAGOP_PHASE_DEGREESOP_PHASE_RADIANS-D BINARY_OP -D dstT=%s -D DEPTH_dst=%d -D rowsPerWI=%d -D OP_CTP_%s%sADARsize == src2.size()ocl_cartToPolar-D dstT=%s -D DEPTH_dst=%d -D rowsPerWI=%d -D BINARY_OP -D OP_PTC_%s%smag.size() == sizeocl_polarToCartOP_SQRTOP_POWNOP_POW-D dstT=%s -D DEPTH_dst=%d -D rowsPerWI=%d -D %s -D UNARY_OP%s-D UNARY_OP -D OP_PATCH_NANS -D dstT=float -D DEPTH_dst=%d -D rowsPerWI=%dvoid cv::hal::cpu_baseline::fastAtan32f(const float *, const float *, float *, int, bool)/Users/runner/work/opencv/opencv/modules/core/src/mathfuncs_core.simd.hppvoid cv::hal::cpu_baseline::fastAtan64f(const double *, const double *, double *, int, bool)void cv::hal::cpu_baseline::magnitude32f(const float *, const float *, float *, int)void cv::hal::cpu_baseline::magnitude64f(const double *, const double *, double *, int)void cv::hal::cpu_baseline::invSqrt32f(const float *, float *, int)void cv::hal::cpu_baseline::invSqrt64f(const double *, double *, int)void cv::hal::cpu_baseline::sqrt32f(const float *, float *, int)void cv::hal::cpu_baseline::sqrt64f(const double *, double *, int)void cv::hal::cpu_baseline::exp32f(const float *, float *, int)void cv::hal::cpu_baseline::exp64f(const double *, double *, int)void cv::hal::cpu_baseline::log32f(const float *, float *, int)void cv::hal::cpu_baseline::log64f(const double *, double *, int)void cv::hal::fastAtan32f(const float *, const float *, float *, int, bool)/Users/runner/work/opencv/opencv/modules/core/src/mathfuncs_core.dispatch.cppvoid cv::hal::fastAtan64f(const double *, const double *, double *, int, bool)void cv::hal::fastAtan2(const float *, const float *, float *, int, bool)void cv::hal::magnitude32f(const float *, const float *, float *, int)void cv::hal::magnitude64f(const double *, const double *, double *, int)void cv::hal::invSqrt32f(const float *, float *, int)void cv::hal::invSqrt64f(const double *, double *, int)void cv::hal::sqrt32f(const float *, float *, int)void cv::hal::sqrt64f(const double *, double *, int)void cv::hal::exp32f(const float *, float *, int)void cv::hal::exp64f(const double *, double *, int)void cv::hal::log32f(const float *, float *, int)void cv::hal::log64f(const double *, double *, int)void cv::cpu_baseline::gemm32f(const float *, size_t, const float *, size_t, float, const float *, size_t, float, float *, size_t, int, int, int, int)/Users/runner/work/opencv/opencv/modules/core/src/matmul.simd.hppvoid cv::cpu_baseline::gemm64f(const double *, size_t, const double *, size_t, double, const double *, size_t, double, double *, size_t, int, int, int, int)void cv::cpu_baseline::gemm32fc(const float *, size_t, const float *, size_t, float, const float *, size_t, float, float *, size_t, int, int, int, int)void cv::cpu_baseline::gemm64fc(const double *, size_t, const double *, size_t, double, const double *, size_t, double, double *, size_t, int, int, int, int)0 && "Not supported"getPerspectiveTransformgetScaleAddFuncgetMahalanobisImplFuncfunc && "Not supported"getMulTransposedFuncvoid cv::hal::gemm32f(const float *, size_t, const float *, size_t, float, const float *, size_t, float, float *, size_t, int, int, int, int)/Users/runner/work/opencv/opencv/modules/core/src/matmul.dispatch.cppHAL implementation gemm32f ==> lapack_gemm32f returned %d (0x%08x)gemm32fvoid cv::hal::gemm64f(const double *, size_t, const double *, size_t, double, const double *, size_t, double, double *, size_t, int, int, int, int)HAL implementation gemm64f ==> lapack_gemm64f returned %d (0x%08x)gemm64fvoid cv::hal::gemm32fc(const float *, size_t, const float *, size_t, float, const float *, size_t, float, float *, size_t, int, int, int, int)HAL implementation gemm32fc ==> lapack_gemm32fc returned %d (0x%08x)gemm32fcvoid cv::hal::gemm64fc(const double *, size_t, const double *, size_t, double, const double *, size_t, double, double *, size_t, int, int, int, int)HAL implementation gemm64fc ==> lapack_gemm64fc returned %d (0x%08x)gemm64fctype == B.type()gemm(type == (((5) & ((1 << 3) - 1)) + (((1)-1) << 3)) || type == (((6) & ((1 << 3) - 1)) + (((1)-1) << 3)) || type == (((5) & ((1 << 3) - 1)) + (((2)-1) << 3)) || type == (((6) & ((1 << 3) - 1)) + (((2)-1) << 3)))a_size.width == lena_size.height == lenC.type() == type(((flags&GEMM_3_T) == 0 && C.rows == d_size.height && C.cols == d_size.width) || ((flags&GEMM_3_T) != 0 && C.rows == d_size.width && C.cols == d_size.height))type == CV_64FC2void cv::transform(cv::InputArray, cv::OutputArray, cv::InputArray)scn == m.cols || scn + 1 == m.colstransformvoid cv::perspectiveTransform(cv::InputArray, cv::OutputArray, cv::InputArray)scn + 1 == m.colsperspectiveTransformvoid cv::scaleAdd(cv::InputArray, double, cv::InputArray, cv::OutputArray)type == _src2.type()scaleAddsrc1.size == src2.sizevoid cv::calcCovarMatrix(const cv::Mat *, int, cv::Mat &, cv::Mat &, int, int)calcCovarMatrix_mean.size() == sizedata[i].size() == sizedata[i].type() == typevoid cv::calcCovarMatrix(cv::InputArray, cv::OutputArray, cv::InputOutputArray, int, int)(*each).size() == size(*each).type() == type((flags & CV_COVAR_ROWS) != 0) ^ ((flags & CV_COVAR_COLS) != 0)mean.size() == sizedouble cv::Mahalanobis(cv::InputArray, cv::InputArray, cv::InputArray)type == v2.type()Mahalanobistype == icovar.type()len == icovar.rows && len == icovar.colsvoid cv::mulTransposed(cv::InputArray, cv::OutputArray, bool, cv::InputArray, double, int)src.channels() == 1mulTransposeddelta.channels() == 1(delta.rows == src.rows || delta.rows == 1)(delta.cols == src.cols || delta.cols == 1)double cv::Mat::dot(cv::InputArray) constmat.type() == type()dotmat.size == sizedouble cv::UMat::dot(cv::InputArray) constm.sameSize(*this) && m.type() == type()(D.rows == ((flags & 1) == 0 ? A.rows : A.cols))cvGEMM(D.cols == ((flags & 2) == 0 ? B.cols : B.rows))D.type() == A.type()dst.depth() == src.depth()cvTransformdst.channels() == m.rowsdst.type() == src.type()cvPerspectiveTransformdst.channels() == m.rows-1src1.size == dst.sizecvScaleAddsrc1.type() == dst.type()cvCalcCovarMatrix(evals0.cols == 1 || evals0.rows == 1)cvCalcPCAecount0 <= ecountevects0.cols == evects.colsevects0.rows == ecount0mean0.data == mean.datadst.cols <= evects.rowscvProjectPCAdst.rows == data.rowsdst.rows <= evects.rowsdst.cols == data.colsdst0.data == dst.datadata.cols <= evects.rowscvBackProjectPCAdata.rows <= evects.rowsbool cv::ocl_gemm(cv::InputArray, cv::InputArray, double, cv::InputArray, double, cv::OutputArray, int)typematB.type()type == CV_32FC1 || type == CV_64FC1 || type == CV_32FC2 || type == CV_64FC2matC.type()sizeA.widthsizeB.heightsizeCsizeD -D T=%s -D T1=%s -D WT=%s -D cn=%d -D kercn=%d -D LOCAL_SIZE=%d%s%s%s -D NO_MULT -D HAVE_Cintelblas_gemm_buffer_NN_spintelblas_gemm_buffer_NNintelblas_gemm_buffer_TNintelblas_gemm_buffer_NTintelblas_gemm_buffer_TTcv::TransformFunc cv::getDiagTransformFunc(int)cv::TransformFunc cv::getTransformFunc(int)cv::TransformFunc cv::getPerspectiveTransform(int)-D OP_SCALE_ADD -D BINARY_OP -D dstT=%s -D DEPTH_dst=%d -D workT=%s -D convertToWT1=%s -D srcT1=dstT -D srcT2=dstT -D convertToDT=%s -D workT1=%s -D wdepth=%d%s -D rowsPerWI=%dcv::ScaleAddFunc cv::getScaleAddFunc(int)double cv::dotProd_8u(const uchar *, const uchar *, int)double cv::dotProd_8s(const schar *, const schar *, int)double cv::dotProd_16u(const ushort *, const ushort *, int)double cv::dotProd_16s(const short *, const short *, int)double cv::dotProd_32s(const int *, const int *, int)double cv::dotProd_32f(const float *, const float *, int)double cv::dotProd_64f(const double *, const double *, int)-D srcT=%s -D srcT1=%s -D dstT=%s -D dstTK=%s -D ddepth=%d -D convertToDT=%s -D OP_DOT -D WGS=%d -D WGS2_ALIGNED=%d%s%s%s -D kercn=%d -D HAVE_SRC2_CONTvoid cv::cpu_baseline::gemmImpl(cv::Mat, cv::Mat, double, cv::Mat, double, cv::Mat, int)gemmImplGEMM_TransposeBlockdouble cv::cpu_baseline::MahalanobisImpl(const cv::Mat &, const cv::Mat &, const cv::Mat &, double *, int) [T = float]double cv::cpu_baseline::MahalanobisImpl(const cv::Mat &, const cv::Mat &, const cv::Mat &, double *, int) [T = double]MulTransposedRsz[i] <= (size_t)INT_MAXdownload/Users/runner/work/opencv/opencv/modules/core/src/matrix.cppuploadvirtual void cv::MatAllocator::copy(cv::UMatData *, cv::UMatData *, int, const size_t *, const size_t *, const size_t *, const size_t *, const size_t *, bool) constcopy0 <= _dims && _dims <= CV_MAX_DIMsetSizeStep %zu for dimension %d must be a multiple of esz1 %zutotal() == 0 || data != NULLMat_step >= minstepStep must be a multiple of esz1cv::Mat::Mat(cv::Size, int, void *, size_t)_stepminstep0 <= startDim && startDim <= endDimtotalm.step.p != m.step.buf0 <= d && d <= CV_MAX_DIM && _sizesstep[dims-1] == (size_t)CV_ELEM_SIZE(flags)0 <= _rowRange.start && _rowRange.start <= _rowRange.end && _rowRange.end <= m.rows0 <= _colRange.start && _colRange.start <= _colRange.end && _colRange.end <= m.colsr == Range::all() || (0 <= r.start && r.start < r.end && r.end <= m.size[i])(int)ranges.size() == ddiagnelems <= (size_t)size.p[0]pop_back(int)nelems >= 0reservenelems <= size_t(INT_MAX)*size_t(INT_MAX)reserveBufferresizePushed vector length is not equal to matrix row lengthpush_backPushed vector type is not the same as matrix typedims <= 2 && step[0] > 0locateROIadjustROI_cn >= 0 && _newndims > 0 && _newndims <= CV_MAX_DIM && _newsz_cn <= CV_CN_MAXCopy dimension (which has zero size) is not present in source matrixRequested and source matrices have different count of elementsReshaping of n-dimensional non-continuous matrices is not supported yetd.cols == 1 || d.rows == 1cv::Size cv::getContinuousSize2D(cv::Mat &, int)m1.dims2cv::Size cv::getContinuousSize2D(cv::Mat &, cv::Mat &, int)m2.dimstotal_szm2.total()getContinuousSize2Dm1.cols == m2.cols && m1.rows == m2.rowscv::Size cv::getContinuousSize2D(cv::Mat &, cv::Mat &, cv::Mat &, int)m3.dimsm3.total()m1.cols == m2.cols && m1.rows == m2.rows && m1.cols == m3.cols && m1.rows == m3.rowstotal <= step[i]allocateu->urefcount == 0deallocateu->refcount == 0cvIplImage/Users/runner/work/opencv/opencv/modules/core/src/matrix_c.cppCOI is not supported by the functioncvarrToMattotal > 0 && CV_ELEM_SIZE(seq->flags) == eszUnknown array typeCV_IS_IMAGE(arr)extractImageCOI0 <= coi && coi < mat.channels()insertImageCOIch.size == mat.size && ch.depth() == mat.depth() && 0 <= coi && coi < mat.channels()src.rows == dst.cols && src.cols == dst.rows && src.type() == dst.type()cvTransposesrcA.size() == dst.size() && srcA.type() == dst.type()cvCrossProductThe reduced dimensionality index is out of rangecvReduceThe output array size is incorrectInput and output arrays must have the same number of channelsThe function only supports 32sC1 and 32fC1 datatypescvRangesrc.size() == idx.size() && idx.type() == CV_32S && src.data != idx.datacvSortidx0.data == idx.datasrc.size() == dst.size() && src.type() == dst.type()!centers.empty()cvKMeans2centers.rows == cluster_countcenters.cols == data.colscenters.depth() == data.depth()labels.isContinuous() && labels.type() == CV_32S && (labels.cols == 1 || labels.rows == 1) && labels.cols + labels.rows - 1 == data.rowsimg->dataOrder == IPL_DATA_ORDER_PIXELiplImageToMatimg->dataOrder == IPL_DATA_ORDER_PIXEL || img->roi->coi != 0int cv::hal::LU32f(float *, size_t, int, float *, size_t, int)/Users/runner/work/opencv/opencv/modules/core/src/matrix_decomp.cppHAL implementation LU32f ==> lapack_LU32f returned %d (0x%08x)LU32fint cv::hal::LU64f(double *, size_t, int, double *, size_t, int)HAL implementation LU64f ==> lapack_LU64f returned %d (0x%08x)LU64fbool cv::hal::Cholesky32f(float *, size_t, int, float *, size_t, int)HAL implementation Cholesky32f ==> lapack_Cholesky32f returned %d (0x%08x)Cholesky32fbool cv::hal::Cholesky64f(double *, size_t, int, double *, size_t, int)HAL implementation Cholesky64f ==> lapack_Cholesky64f returned %d (0x%08x)Cholesky64fint cv::hal::QR32f(float *, size_t, int, int, int, float *, size_t, float *)HAL implementation QR32f ==> lapack_QR32f returned %d (0x%08x)QR32fint cv::hal::QR64f(double *, size_t, int, int, int, double *, size_t, double *)HAL implementation QR64f ==> lapack_QR64f returned %d (0x%08x)QR64fvirtual void cv::MatOp::add(const cv::MatExpr &, const cv::MatExpr &, cv::MatExpr &) const/Users/runner/work/opencv/opencv/modules/core/src/matrix_expressions.cppvirtual void cv::MatOp::add(const cv::MatExpr &, const cv::Scalar &, cv::MatExpr &) constvirtual void cv::MatOp::subtract(const cv::MatExpr &, const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp::subtract(const cv::Scalar &, const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp::multiply(const cv::MatExpr &, const cv::MatExpr &, cv::MatExpr &, double) constvirtual void cv::MatOp::multiply(const cv::MatExpr &, double, cv::MatExpr &) constvirtual void cv::MatOp::divide(const cv::MatExpr &, const cv::MatExpr &, cv::MatExpr &, double) constvirtual void cv::MatOp::divide(double, const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp::abs(const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp::transpose(const cv::MatExpr &, cv::MatExpr &) constvirtual int cv::MatOp::type(const cv::MatExpr &) constcv::MatExpr cv::min(const cv::Mat &, const cv::Mat &)cv::MatExpr cv::min(const cv::Mat &, double)cv::MatExpr cv::min(double, const cv::Mat &)cv::MatExpr cv::max(const cv::Mat &, const cv::Mat &)cv::MatExpr cv::max(const cv::Mat &, double)cv::MatExpr cv::max(double, const cv::Mat &)cv::MatExpr cv::abs(const cv::Mat &)cv::MatExpr cv::abs(const cv::MatExpr &)int cv::MatExpr::type() constCV_MAT_CN(_type) == e.a.channels()assignOpenCV/MatExpr: processing of multi-channel arrays might be changed in the future: https://github.com/opencv/opencv/issues/16739virtual void cv::MatOp_AddEx::add(const cv::MatExpr &, const cv::Scalar &, cv::MatExpr &) constvirtual void cv::MatOp_AddEx::subtract(const cv::Scalar &, const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp_AddEx::multiply(const cv::MatExpr &, double, cv::MatExpr &) constvirtual void cv::MatOp_AddEx::divide(double, const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp_AddEx::transpose(const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp_AddEx::abs(const cv::MatExpr &, cv::MatExpr &) constUnknown operationvirtual void cv::MatOp_Bin::multiply(const cv::MatExpr &, double, cv::MatExpr &) constvirtual void cv::MatOp_Bin::divide(double, const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp_T::multiply(const cv::MatExpr &, double, cv::MatExpr &) constvirtual void cv::MatOp_T::transpose(const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp_GEMM::add(const cv::MatExpr &, const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp_GEMM::subtract(const cv::MatExpr &, const cv::MatExpr &, cv::MatExpr &) constvirtual void cv::MatOp_GEMM::multiply(const cv::MatExpr &, double, cv::MatExpr &) constvirtual void cv::MatOp_GEMM::transpose(const cv::MatExpr &, cv::MatExpr &) constInvalid matrix initializer typevirtual void cv::MatOp_Initializer::multiply(const cv::MatExpr &, double, cv::MatExpr &) constcv::MatExpr cv::Mat::t() constcv::MatExpr cv::Mat::inv(int) constcv::MatExpr cv::Mat::mul(cv::InputArray, double) conststatic cv::MatExpr cv::Mat::zeros(int, int, int)static cv::MatExpr cv::Mat::zeros(cv::Size, int)static cv::MatExpr cv::Mat::zeros(int, const int *, int)static cv::MatExpr cv::Mat::ones(int, int, int)static cv::MatExpr cv::Mat::ones(cv::Size, int)static cv::MatExpr cv::Mat::ones(int, const int *, int)static cv::MatExpr cv::Mat::eye(int, int, int)static cv::MatExpr cv::Mat::eye(cv::Size, int)isIdentity(expr)_InputArrayOne or more matrix operands are empty.checkOperandsExistMatrix operand is an empty matrix._arrays && (_ptrs || _planes)init/Users/runner/work/opencv/opencv/modules/core/src/matrix_iterator.cppA.size == arrays[i0]->sizeA.step[d-1] == A.elemSize()posvoid cv::hconcat(const cv::Mat *, size_t, cv::OutputArray)/Users/runner/work/opencv/opencv/modules/core/src/matrix_operations.cppsrc[i].dims <= 2 && src[i].rows == src[0].rows && src[i].type() == src[0].type()hconcatvoid cv::hconcat(cv::InputArray, cv::InputArray, cv::OutputArray)void cv::hconcat(cv::InputArray, cv::OutputArray)void cv::vconcat(const cv::Mat *, size_t, cv::OutputArray)src[i].dims <= 2 && src[i].cols == src[0].cols && src[i].type() == src[0].type()vconcatvoid cv::vconcat(cv::InputArray, cv::InputArray, cv::OutputArray)void cv::vconcat(cv::InputArray, cv::OutputArray)void cv::setIdentity(cv::InputOutputArray, const cv::Scalar &)setIdentitycv::Scalar cv::trace(cv::InputArray)tracevoid cv::completeSymm(cv::InputOutputArray, bool)m.dims <= 2 && m.rows == m.colscompleteSymmdims <= 2 && m.dims <= 2 && size() == m.size() && tp == m.type() && ((rows == 3 && cols == 1) || (cols*channels() == 3 && rows == 1))crossvoid cv::reduce(cv::InputArray, cv::OutputArray, int, int, int)op == CV_REDUCE_SUM || op == CV_REDUCE_MAX || op == CV_REDUCE_MIN || op == CV_REDUCE_AVGUnsupported combination of input and output array formatsvoid cv::sort(cv::InputArray, cv::OutputArray, int)src.dims <= 2 && src.channels() == 1sortvoid cv::sortIdx(cv::InputArray, cv::OutputArray, int)sortIdx-D T=%s -D T1=%s -D cn=%d -D ST=%s -D kercn=%d -D rowsPerWI=%dOCL_CV_REDUCE_SUMOCL_CV_REDUCE_AVGOCL_CV_REDUCE_MAXOCL_CV_REDUCE_MIN-D OP_REDUCE_PRE -D BUF_COLS=%d -D TILE_HEIGHT=%zu -D %s -D dim=1 -D cn=%d -D ddepth=%d -D srcT=%s -D bufT=%s -D dstT=%s -D convertToWT=%s -D convertToBufT=%s -D convertToDT=%s%sreduce_horz_opt-D %s -D dim=%d -D cn=%d -D ddepth=%d -D srcT=%s -D dstT=%s -D dstT0=%s -D convertToWT=%s -D convertToDT=%s -D convertToDT0=%s%ssrc.data != dst.datasortIdx__sizes && 0 < d && d <= CV_MAX_DIM/Users/runner/work/opencv/opencv/modules/core/src/matrix_sparse.cpphdr && hdr->dims == 1ptrhdr && hdr->dims == 2hdr && hdr->dims == 3erasenewNodedouble cv::norm(const cv::SparseMat &, int)normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2normOnly 32f and 64f are supportedvoid cv::minMaxLoc(const cv::SparseMat &, double *, double *, int *, int *)minMaxLocvoid cv::normalize(const cv::SparseMat &, cv::SparseMat &, double, int)Unknown/unsupported norm typenormalizegetConvertElemgetConvertScaleElemvoid cv::transpose(cv::InputArray, cv::OutputArray)/Users/runner/work/opencv/opencv/modules/core/src/matrix_transform.cpp_src.dims() <= 2 && esz <= 32transposesrc.size() == dst.size() && (src.cols == 1 || src.rows == 1)dst.cols == dst.rowsvoid cv::flip(cv::InputArray, cv::OutputArray, int)fliprotateocl_transpose_inplace-D T=%s -D T1=%s -D cn=%d -D TILE_DIM=%d -D BLOCK_ROWS=%d -D rowsPerWI=%d%s -D INPLACEflipCode >= -1 && flipCode <= 1ocl_fliparithm_flip_rowsarithm_flip_colsarithm_flip_rows_cols-D T=%s -D T1=%s -D DEPTH=%d -D cn=%d -D PIX_PER_WI_Y=%d -D kercn=%dmaxWorkGroupSize % 4 == 0getMat_/Users/runner/work/opencv/opencv/modules/core/src/matrix_wrap.cpp0 <= i && i < (int)vv.size()0 <= i && i < (int)v.size()0 <= i && i < sz.heightYou should explicitly call mapHost/unmapHost methods for ogl::Buffer objectYou should explicitly call download method for cuda::GpuMat objectUnknown/unsupported array typegetUMatgetMatVectorgetUMatVectorCUDA support is not enabled in this OpenCV build (missing HAVE_CUDA)getGpuMatgetGpuMatVectork == OPENGL_BUFFERgetOGlBufferi < (int)vv.size()sizendint cv::_InputArray::sizend(int *, int) constNot supporteddims(i)dims(flags & FIXED_TYPE) != 0emptyi >= 0 && (size_t)i < vv.size()isContinuousi >= 0 && i < sz.heightisSubmatrixoffseti >= 0 && i < (int)vv.size()step!fixedSize() || ((Mat*)obj)->size.operator()() == _sz!fixedType() || ((Mat*)obj)->type() == mtype!fixedSize() || ((UMat*)obj)->size.operator()() == _sz!fixedType() || ((UMat*)obj)->type() == mtype!fixedSize() || ((cuda::GpuMat*)obj)->size() == _sz!fixedType() || ((cuda::GpuMat*)obj)->type() == mtype!fixedSize() || ((ogl::Buffer*)obj)->size() == _sz!fixedType() || ((ogl::Buffer*)obj)->type() == mtypeOpenGL support is not enabled in this OpenCV build (missing HAVE_OPENGL)!fixedSize() || ((cuda::HostMem*)obj)->size() == _sz!fixedType() || ((cuda::HostMem*)obj)->type() == mtype!fixedSize() || ((Mat*)obj)->size.operator()() == Size(_cols, _rows)!fixedSize() || ((UMat*)obj)->size.operator()() == Size(_cols, _rows)!fixedSize() || ((cuda::GpuMat*)obj)->size() == Size(_cols, _rows)!fixedSize() || ((ogl::Buffer*)obj)->size() == Size(_cols, _rows)!fixedSize() || ((cuda::HostMem*)obj)->size() == Size(_cols, _rows)!(m.empty() && fixedType() && fixedSize()) && "Can't reallocate empty Mat with locked layout (probably due to misused 'const' modifier)"void cv::_OutputArray::create(int, const int *, int, int, bool, _OutputArray::DepthMask) constCan't reallocate Mat with locked type (probably due to misused 'const' modifier)m.type()CV_MAT_TYPE(mtype)Can't reallocate Mat with locked size (probably due to misused 'const' modifier)m.dimsdm.size[j]sizes[j]!(m.empty() && fixedType() && fixedSize()) && "Can't reallocate empty UMat with locked layout (probably due to misused 'const' modifier)"Can't reallocate UMat with locked type (probably due to misused 'const' modifier)Can't reallocate UMat with locked size (probably due to misused 'const' modifier)mtype == type0 || (CV_MAT_CN(mtype) == 1 && ((1 << type0) & fixedDepthMask) != 0)requested_sizestd::max(requested_size.width, requested_size.height) == total_1dsz(requested_size == sz || (requested_size.height == sz.width && requested_size.width == sz.height))d == 2 && (sizes[0] == 1 || sizes[1] == 1 || sizes[0]*sizes[1] == 0)!fixedSize() || len == vv.size()mtype == type0 || (CV_MAT_CN(mtype) == CV_MAT_CN(type0) && ((1 << type0) & fixedDepthMask) != 0)!fixedSize() || len == ((std::vector*)v)->size() / eszVectors with element size %d are not supported. Please, modify OutputArray::create() create() called for the missing output array!fixedSize() || len == len0i < (int)v.size()!fixedType() && !fixedSize()CV_MAT_TYPE(mtype) == m.type()m.size[j] == sizes[j]releasegetMatRefk == STD_VECTOR_MAT || k == STD_ARRAY_MATgetUMatRefk == STD_VECTOR_UMATk == CUDA_GPU_MATgetGpuMatRefk == STD_VECTOR_CUDA_GPU_MATgetGpuMatVecRefgetOGlBufferRefk == CUDA_HOST_MEMgetHostMemRefmovethis_v.size() == v.size()cv::SumSqrFunc cv::cpu_baseline::getSumSqrFunc(int)/Users/runner/work/opencv/opencv/modules/core/src/mean.simd.hppcv::Scalar cv::mean(cv::InputArray, cv::InputArray)/Users/runner/work/opencv/opencv/modules/core/src/mean.dispatch.cppmask.empty() || mask.type() == CV_8Umeancn <= 4 && func != 0void cv::meanStdDev(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::InputArray)meanStdDev_mask.empty() || _mask.type() == CV_8UC1dst.type() == CV_64F && dst.isContinuous() && (dst.cols == 1 || dst.rows == 1) && dcn >= cnint cv::cpu_baseline::sqsum8u(const uchar *, const uchar *, int *, int *, int, int)int cv::cpu_baseline::sqsum8s(const schar *, const uchar *, int *, int *, int, int)int cv::cpu_baseline::sqsum16u(const ushort *, const uchar *, int *, double *, int, int)int cv::cpu_baseline::sqsum16s(const short *, const uchar *, int *, double *, int, int)int cv::cpu_baseline::sqsum32s(const int *, const uchar *, double *, double *, int, int)int cv::cpu_baseline::sqsum32f(const float *, const uchar *, double *, double *, int, int)int cv::cpu_baseline::sqsum64f(const double *, const uchar *, double *, double *, int, int)OpenCL!haveMask || _mask.type() == CV_8UC1ocl_meanStdDev-D srcT=%s -D srcT1=%s -D dstT=%s -D dstT1=%s -D sqddepth=%d -D sqdstT=%s -D sqdstT1=%s -D convertToSDT=%s -D cn=%d%s%s -D convertToDT=%s -D WGS=%d -D WGS2_ALIGNED=%d%s%s -D HAVE_MASK_CONT -D HAVE_MASKocl_part_sum/Users/runner/work/opencv/opencv/modules/core/src/stat.hppcv::SumSqrFunc cv::getSumSqrFunc(int)void cv::hal::cpu_baseline::merge8u(const uchar **, uchar *, int, int)/Users/runner/work/opencv/opencv/modules/core/src/merge.simd.hppvoid cv::hal::cpu_baseline::merge16u(const ushort **, ushort *, int, int)void cv::hal::cpu_baseline::merge32s(const int **, int *, int, int)void cv::hal::cpu_baseline::merge64s(const int64 **, int64 *, int, int)void cv::hal::merge8u(const uchar **, uchar *, int, int)/Users/runner/work/opencv/opencv/modules/core/src/merge.dispatch.cppvoid cv::hal::merge16u(const ushort **, ushort *, int, int)void cv::hal::merge32s(const int **, int *, int, int)void cv::hal::merge64s(const int64 **, int64 *, int, int)void cv::merge(const cv::Mat *, size_t, cv::OutputArray)mergemv[i].size == mv[0].size && mv[i].depth() == depth0 < cn && cn <= CV_CN_MAXvoid cv::merge(cv::InputArrayOfArrays, cv::OutputArray)ocl_mergesize == src[i].size() && depth == idepthDECLARE_SRC_PARAM(%d)PROCESS_ELEM(%d)DECLARE_INDEX(%d) -D scn%d=%d-D OP_MERGE -D cn=%d -D T=%s -D DECLARE_SRC_PARAMS_N=%s -D DECLARE_INDEX_N=%s -D PROCESS_ELEMS_N=%s%svecmerge_(cn == 1 && (!haveMask || _mask.type() == CV_8U)) || (cn >= 1 && !minLoc && !maxLoc)ocl_minMaxIdx/Users/runner/work/opencv/opencv/modules/core/src/minmax.cpp!haveSrc2 || _src2.type() == type-D DEPTH_%d -D srcT1=%s%s -D WGS=%d -D srcT=%s -D WGS2_ALIGNED=%d%s%s%s -D kercn=%d%s%s%s%s -D dstT1=%s -D dstT=%s -D convertToDT=%s%s%s%s%s -D wdepth=%d -D convertFromU=%s -D MINMAX_STRUCT_ALIGNMENT=%d -D NEED_MINVAL -D NEED_MAXVAL -D NEED_MINLOC -D NEED_MAXLOC -D OP_ABS -D HAVE_SRC2 -D OP_CALC2minmaxlocddepth <= CV_64Fvoid cv::minMaxIdx(cv::InputArray, double *, double *, int *, int *, cv::InputArray)(cn == 1 && (_mask.empty() || _mask.type() == CV_8U)) || (cn > 1 && _mask.empty() && !minIdx && !maxIdx)minMaxIdxvoid cv::minMaxLoc(cv::InputArray, double *, double *, cv::Point *, cv::Point *, cv::InputArray)_img.dims() <= 2void reduceMinMax(cv::InputArray, cv::OutputArray, ReduceMode, int)srcMat.channels() == 1 && axis >= 0 && axis < srcMat.dimsreduceMinMaxUnsupported matrix type.depthDispatch/Users/runner/work/opencv/opencv/modules/core/include/opencv2/core/detail/dispatch_helper.impl.hppdouble cv::norm(cv::InputArray, int, cv::InputArray)/Users/runner/work/opencv/opencv/modules/core/src/norm.cppnormType == NORM_INF || normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR || ((normType == NORM_HAMMING || normType == NORM_HAMMING2) && _src.type() == CV_8U)(size_t)it.size(size_t)INT_MAXdouble cv::norm(cv::InputArray, cv::InputArray, int, cv::InputArray)Input type mismatch_src1.type()_src2.type()_src1.sameSize(_src2)normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR || ((normType == NORM_HAMMING || normType == NORM_HAMMING2) && src1.type() == CV_8U)double cv::PSNR(cv::InputArray, cv::InputArray, double)_src1.type() == _src2.type()PSNRvoid cv::normalize(cv::InputArray, cv::InputOutputArray, double, double, int, int, cv::InputArray)-D srcT=%s -D dstT=%s -D convertToWT=%s -D cn=%d -D rowsPerWI=%d -D convertToDT=%s -D workT=%s%s%s%s -D srcT1=%s -D dstT1=%s -D HAVE_SCALE -D HAVE_DELTAnormalizekOPENCV_OPENCL_CACHE_ENABLEOPENCV_OPENCL_CACHE_WRITEOPENCV_OPENCL_CACHE_LOCK_ENABLEOPENCV_OPENCL_CACHE_CLEANUPOPENCV_OPENCL_VALIDATE_BINARY_PROGRAMSOPENCV_OPENCL_DISABLE_BUFFER_RECT_OPERATIONSOPENCV_OPENCL_ENABLE_MEM_USE_HOST_PTROPENCV_OPENCL_ALIGNMENT_MEM_USE_HOST_PTRgetContext/Users/runner/work/opencv/opencv/modules/core/src/ocl.cppgetDevicegetQueuesetUseOpenCLstatic cv::ocl::OpenCLExecutionContext &cv::ocl::OpenCLExecutionContext::getCurrent()static cv::ocl::OpenCLExecutionContext &cv::ocl::OpenCLExecutionContext::getCurrentRef()void cv::ocl::OpenCLExecutionContext::bind() constbindcv::ocl::OpenCLExecutionContext cv::ocl::OpenCLExecutionContext::cloneWithNewQueue() constcloneWithNewQueuecv::ocl::OpenCLExecutionContext cv::ocl::OpenCLExecutionContext::cloneWithNewQueue(const ocl::Queue &) conststatic cv::ocl::OpenCLExecutionContext cv::ocl::OpenCLExecutionContext::create(const cv::ocl::Context &, const cv::ocl::Device &, const ocl::Queue &)OpenCL runtime is not available!!context.empty()static cv::ocl::OpenCLExecutionContext cv::ocl::OpenCLExecutionContext::create(const cv::ocl::Context &, const cv::ocl::Device &)void cv::ocl::OpenCLExecutionContext::release()bool cv::ocl::haveOpenCL()Init_OpenCL_RuntimeOPENCV_OPENCL_RUNTIMEdisabledInitialize OpenCL runtime...haveOpenCLOpenCL: found platformsOpenCL: can't initialize thread OpenCL execution contextuseOpenCLvoid cv::ocl::setUseOpenCL(bool)OpenCL: Platform::getDefault() is deprecated and will be removed. Use cv::ocl::getPlatfomsInfo() for enumeration of available platformsgetDefaultOpenCL error %s (%d) during call: %sclReleaseDevice((cl_device_id)d)setcl_khr_image2d_from_bufferclGetDeviceInfo(p->handle, CL_DEVICE_MAX_WORK_ITEM_SIZES, MAX_DIMS*sizeof(sizes[0]), &sizes[0], &retsz)maxWorkItemSizesOpenCL: Can't recognize OpenCV device type=clGetContextInfo(p->handle, CL_CONTEXT_PROPERTIES, 0, NULL, &size)getOpenCLContextPropertyclGetContextInfo(p->handle, CL_CONTEXT_PROPERTIES, size, prop.data(), NULL)OpenCL: found context property=) => setUseSVMsetUserContextgetUserContextclGetPlatformIDs(0, 0, &cnt)No OpenCL platform available!clGetPlatformIDs(cnt, &platforms[0], 0)No matched platforms available!clReleaseContext((cl_context)context)clReleaseDevice((cl_device_id)deviceID)clFinish(p->handle)finishgetProfilingQueue_flags == LOCAL || _flags == CONSTANT || _m != NULLKernelArgm.isContinuous()ConstantclSetKernelArg('%s', arg_index=%d, size=%d, value=%s)OpenCL: Kernel(%s)::set(arg_index=%d): negative arg_indexclSetKernelArg('%s', arg_index=%d, cl_mem=NULL)OpenCL: Kernel(%s)::set(arg_index=%d, flags=%d): can't create cl_mem handle for passed UMat buffer (addr=%p)clSetKernelArg('%s', arg_index=%d, cl_mem=%p)clSetKernelArg('%s', arg_index=%d, step_value=%d)clSetKernelArg('%s', arg_index=%d, offset_value=%d)clSetKernelArg('%s', arg_index=%d, rows_value=%d)clSetKernelArg('%s', arg_index=%d, cols_value=%d)clSetKernelArg('%s', arg_index=%d, slicestep_value=%d)clSetKernelArg('%s', arg_index=%d, slices_value=%d)clSetKernelArg('%s', arg_index=%d, size=%d, obj=%p)_globalsize != NULLrunrun_OpenCL kernel has zero handle: OpenCL kernel can't be reused in async mode: Previous OpenCL kernel launch is not finished: clEnqueueNDRangeKernel('%s', dims=%d, globalsize=%zux%zux%zu, localsize=%s) sync=%s%zux%zux%zutruefalseclFinish(qq)clWaitForEvents(1, &asyncEvent)clGetEventProfilingInfo(asyncEvent, CL_PROFILING_COMMAND_START, sizeof(startTime), &startTime, NULL)clGetEventProfilingInfo(asyncEvent, CL_PROFILING_COMMAND_END, sizeof(stopTime), &stopTime, NULL)clSetEventCallback(asyncEvent, CL_COMPLETE, oclCleanupCallback, this)clReleaseEvent(asyncEvent)clEnqueueTask('%s') sync=%srunTaskclSetEventCallback(asyncEvent, CL_COMPLETE, oclCleanupCallback, p)p && p->handle && !p->isInProgressrunProfilingclGetKernelWorkGroupInfo(CL_KERNEL_WORK_GROUP_SIZE)workGroupSizeclGetKernelWorkGroupInfo(CL_KERNEL_PREFERRED_WORK_GROUP_SIZE_MULTIPLE)preferedWorkGroupSizeMultipleclGetKernelWorkGroupInfo(CL_KERNEL_COMPILE_WORK_GROUP_SIZE)compileWorkGroupSizeclGetKernelWorkGroupInfo(CL_KERNEL_LOCAL_MEM_SIZE)localMemSizesourcep->kind_ == Impl::PROGRAM_SOURCE_CODEp->sourceAddr_ == NULLRemoved method: ProgramSource::hash()hashbinaryfromBinaryfromSPIRreadgetPrefixopencl=%s buildflags=%sp && "Empty program"getBinarygetProgmodule=%s name=%s codehash=%s opencl=%s buildflags=%sOPENCV_OPENCL_BUFFERPOOL_LIMITOPENCV_OPENCL_HOST_PTR_BUFFERPOOL_LIMITOpenCL: Initializing buffer pool for context@ with max capacity: poolSize= poolSizeHostPtr=__init_buffer_poolsconvertFromBufferclGetMemObjectInfo(memobj, CL_MEM_TYPE, sizeof(cl_mem_object_type), &mem_type, 0)CL_MEM_OBJECT_BUFFER == mem_typeclGetMemObjectInfo(memobj, CL_MEM_SIZE, sizeof(size_t), &total, 0)clRetainMemObject(memobj)(int)step >= cols * CV_ELEM_SIZE(type)total >= rows * stepclGetMemObjectInfo(clImage, CL_MEM_TYPE, sizeof(cl_mem_object_type), &mem_type, 0)convertFromImageCL_MEM_OBJECT_IMAGE2D == mem_typeclGetImageInfo(clImage, CL_IMAGE_FORMAT, sizeof(cl_image_format), &fmt, 0)Not supported image_channel_data_typeNot supported image_channel_orderclGetImageInfo(clImage, CL_IMAGE_ROW_PITCH, sizeof(size_t), &step, 0)clGetImageInfo(clImage, CL_IMAGE_WIDTH, sizeof(size_t), &w, 0)clGetImageInfo(clImage, CL_IMAGE_HEIGHT, sizeof(size_t), &h, 0)clEnqueueCopyImageToBuffer(q, clImage, clBuffer, src_origin, region, offset, 0, NULL, NULL)clFinish(q)p && d < (int)p->devices.size()versionMajorversionMinorucharuchar2uchar3uchar4uchar8uchar16charchar2char3char4char8char16ushortushort2ushort3ushort4ushort8ushort16shortshort2short3short4short8short16int2int3int4int8int16float2float3float4float8float16double2double3double4double8double16half2half3half4half8half16typeToStrulongulong2ulong3ulong4ulong8ulong16memopTypeToStrvecopTypeToStrconvert_%sconvert_%s%s_rte_satconvert_%s_satCL_SUCCESSCL_DEVICE_NOT_FOUNDCL_DEVICE_NOT_AVAILABLECL_COMPILER_NOT_AVAILABLECL_MEM_OBJECT_ALLOCATION_FAILURECL_OUT_OF_RESOURCESCL_OUT_OF_HOST_MEMORYCL_PROFILING_INFO_NOT_AVAILABLECL_MEM_COPY_OVERLAPCL_IMAGE_FORMAT_MISMATCHCL_IMAGE_FORMAT_NOT_SUPPORTEDCL_BUILD_PROGRAM_FAILURECL_MAP_FAILURECL_MISALIGNED_SUB_BUFFER_OFFSETCL_EXEC_STATUS_ERROR_FOR_EVENTS_IN_WAIT_LISTCL_COMPILE_PROGRAM_FAILURECL_LINKER_NOT_AVAILABLECL_LINK_PROGRAM_FAILURECL_DEVICE_PARTITION_FAILEDCL_KERNEL_ARG_INFO_NOT_AVAILABLECL_INVALID_VALUECL_INVALID_DEVICE_TYPECL_INVALID_PLATFORMCL_INVALID_DEVICECL_INVALID_CONTEXTCL_INVALID_QUEUE_PROPERTIESCL_INVALID_COMMAND_QUEUECL_INVALID_HOST_PTRCL_INVALID_MEM_OBJECTCL_INVALID_IMAGE_FORMAT_DESCRIPTORCL_INVALID_IMAGE_SIZECL_INVALID_SAMPLERCL_INVALID_BINARYCL_INVALID_BUILD_OPTIONSCL_INVALID_PROGRAMCL_INVALID_PROGRAM_EXECUTABLECL_INVALID_KERNEL_NAMECL_INVALID_KERNEL_DEFINITIONCL_INVALID_KERNELCL_INVALID_ARG_INDEXCL_INVALID_ARG_VALUECL_INVALID_ARG_SIZECL_INVALID_KERNEL_ARGSCL_INVALID_WORK_DIMENSIONCL_INVALID_WORK_GROUP_SIZECL_INVALID_WORK_ITEM_SIZECL_INVALID_GLOBAL_OFFSETCL_INVALID_EVENT_WAIT_LISTCL_INVALID_EVENTCL_INVALID_OPERATIONCL_INVALID_GL_OBJECTCL_INVALID_BUFFER_SIZECL_INVALID_MIP_LEVELCL_INVALID_GLOBAL_WORK_SIZECL_INVALID_PROPERTYCL_INVALID_IMAGE_DESCRIPTORCL_INVALID_COMPILER_OPTIONSCL_INVALID_LINKER_OPTIONSCL_INVALID_DEVICE_PARTITION_COUNTCL_INVALID_PIPE_SIZECL_INVALID_DEVICE_QUEUECL_INVALID_GL_SHAREGROUP_REFERENCE_KHRCL_PLATFORM_NOT_FOUND_KHRCL_INVALID_D3D10_DEVICE_KHRCL_INVALID_D3D10_RESOURCE_KHRCL_D3D10_RESOURCE_ALREADY_ACQUIRED_KHRCL_D3D10_RESOURCE_NOT_ACQUIRED_KHRUnknown OpenCL error -D %s=%sCOEFFcheckOptimalVectorWidthsrc1.isMat() || src1.isUMat()src2.isMat() || src2.isUMat()src3.isMat() || src3.isUMat()src4.isMat() || src4.isUMat()src5.isMat() || src5.isUMat()src6.isMat() || src6.isUMat()src7.isMat() || src7.isUMat()src8.isMat() || src8.isUMat()src9.isMat() || src9.isUMat()-D %s_T=%s -D %s_T1=%s -D %s_CN=%d -D %s_TSIZE=%d -D %s_T1SIZE=%d -D %s_DEPTH=%dOPENCV_OPENCL_FORCEOPENCV_OPENCL_PERF_CHECK_BYPASSstopdurationNSOpenCL: can't use OpenCL execution contextstatic const std::shared_ptr &cv::ocl::OpenCLExecutionContext::Impl::getInitializedExecutionContext()OpenCL: initializing thread execution contextgetInitializedExecutionContextOpenCL: creating new execution context...OpenCL: Can't create default OpenCL queueOpenCL: device=OpenCL: OpenCL device is not available (CL_DEVICE_AVAILABLE returns false)OpenCL: context is not available/disabledOpenCL: Can't initialize OpenCL context/device/queue: unknown C++ exceptionOpenCL: Can't initialize OpenCL context/device/queue: clGetPlatformInfo(handle, CL_PLATFORM_VENDOR, sizeof(buf), buf, &len)clReleaseDevice(handle)clRetainDevice(device)Implcl_intel_subgroupsAdvanced Micro Devices, Inc.AMDIntel(R) CorporationIntelIrisNVIDIA CorporationOPENCV_OPENCL_DEVICE_MAX_WORK_GROUP_SIZEOpenCL: using workgroup size: (was _initOpenCL OPENCV_OPENCL_RAISE_ERRORclReleaseContext(handle)cv::ocl::Context::Impl::~Impl()(size_t)contextIdcontainer.size()static cv::ocl::Context::Impl *cv::ocl::Context::Impl::findOrCreateContext(const std::string &)OPENCV_OPENCL_DEVICEOpenCL: reuse context@ for configuration: findOrCreateContextstatic cv::ocl::Context::Impl *cv::ocl::Context::Impl::findContext(const std::string &)clGetPlatformIDs(0, NULL, &numPlatforms)selectOpenCLDeviceclGetPlatformIDs(numPlatforms, &platforms[0], &numPlatforms)getStringInfo(clGetPlatformInfo, *currentPlatform, CL_PLATFORM_NAME, name)OpenCL: Can't find OpenCL platform by name: gpudgpuigpucpuacceleratorallOpenCL: Unsupported device type for OpenCL device (GPU, CPU, ACCELERATOR): clGetDeviceIDs get countclGetDeviceIDs get IDsgetStringInfo(clGetDeviceInfo, devices[i], CL_DEVICE_NAME, name)clGetDeviceInfo(devices[i], CL_DEVICE_HOST_UNIFIED_MEMORY, sizeof(isIGPU), &isIGPU, NULL)ERROR: Requested OpenCL device not found, check configuration: ' Platform: Device types: Device name: OpenCL: Invalid configuration string for OpenCL device: parseOpenCLDeviceConfigurationvoid cv::ocl::Context::Impl::createFromDevice(cl_device_id)createFromDeviceclGetDeviceInfo(d, CL_DEVICE_PLATFORM, sizeof(cl_platform_id), &pl, NULL)clCreateContextstatic cv::ocl::Context::Impl *cv::ocl::Context::Impl::findOrCreateContext(cl_context)@ctx-%pclRetainContext(h)handleinit_device_listclGetContextInfo(handle, CL_CONTEXT_NUM_DEVICES, sizeof(ndevices), &ndevices, NULL)clGetContextInfo(handle, CL_CONTEXT_DEVICES, cl_devices.size() * sizeof(cl_device_id), &cl_devices[0], &devices_ret_size)void cv::ocl::Context::Impl::init_device_list()devices_ret_sizecl_devices.size() * sizeof(cl_device_id)static cv::ocl::Context::Impl *cv::ocl::Context::Impl::findOrCreateContext(const ocl::Device &)@dev-%pclGetPlatformInfo(id, CL_PLATFORM_NAME, 0, 0, &sz)get_platform_nameclGetPlatformInfo(id, CL_PLATFORM_NAME, sz, buf.data(), 0)clFinish(handle)clReleaseCommandQueue(handle)handle = clCreateCommandQueue(ch, dh, props, &retval)clGetCommandQueueInfo(handle, CL_QUEUE_CONTEXT, sizeof(cl_context), &ctx, NULL)clGetCommandQueueInfo(handle, CL_QUEUE_DEVICE, sizeof(cl_device_id), &device, NULL)clCreateCommandQueue(with CL_QUEUE_PROFILING_ENABLE)clReleaseKernel(handle)clCreateKernel('%s')OCL: Unexpected C++ exception in OpenCL Kernel::Impl::cleanupUMats(): cleanupUMats!exceptionOccurred%d / %uu / 0x%04x%d / %uu / 0x%08x / %g%lld / %lluu / 0x%16llx / %g%pvoid cv::ocl::Kernel::Impl::registerImageArgument(int, const cv::ocl::Image2D &)argocl::Kernel: clearing of pending Image2D arguments is not allowed!isInProgressnu < MAX_ARRS && m.u && m.u->urefcount > 0addUMatOPENCV_OPENCL_RAISE_ERROR_REUSE_ASYNC_KERNELOCL: Unexpected unknown C++ exception in OpenCL callbackoclCleanupCallbackOCL: Unexpected C++ exception in OpenCL callback: OCL: Unexpected OpenCV exception in OpenCL callback: codeStr_.empty()updateHash!codeStr_.empty()%08jx -D INTEL_DEVICEOPENCV_OPENCL_BUILD_EXTRA_OPTIONSOpenCL: using extra build options: 'getBuildExtraOptionscompilecreateFromBinaryclCreateProgramWithBinaryclReleaseProgram(handle)clBuildProgram(binary: %s/%s)result = clGetProgramBuildInfo(handle, devices[0], CL_PROGRAM_BUILD_STATUS, sizeof(build_status), &build_status, &retsz)clGetProgramBuildInfo() returns clGetProgramBuildInfo(): Kernels='OpenCL program build log: %s/%s Status %d: %s %s %s compileWithCachesrc_->kind_ != ProgramSource::Impl::PROGRAM_BINARIES!hash_str.empty().bin!binaryBuf.empty()OpenCL: SPIR-V is not supportedCan't save OpenCL binary into cache: Initializing OpenCL cache configuration...OpenCLBinaryCacheConfiguratorOpenCL cache is disabledopencl_cacheOPENCV_OPENCL_CACHE_DIRSpecify OPENCV_OPENCL_CACHE_DIR configuration parameter to enable OpenCL cacheCan't use OpenCL cache directory: .lockCreating lock file... (Can't create lock file for OpenCL program cache: Can't create OpenCL program cache lock: OpenCL cache lock is disabled while cache write is allowed (not safe for multiprocess environment)OpenCL cache lock is disabledCan't prepare OpenCL program cache: Initialized OpenCL cache directory, but interprocess synchronization lock is not available. Consider to disable OpenCL cache: OPENCV_OPENCL_CACHE_DIR=disabledSuccessfully initialized OpenCL cache directory: wwbr+bPreparing OpenCL cache configuration for context: prepareCacheDirectoryForContextCan't create directory: Can't create OpenCL program cache directory for context: Detected OpenCL cache directory for other version of OpenCL device.Detected OpenCL cache directories for other versions of OpenCL device. We assume that these directories are obsolete after OpenCL runtime/drivers upgrade.Trying to remove these directories...- Note: You can disable this behavior via this option: OPENCV_OPENCL_CACHE_CLEANUP=0Removed: Exception during removal of obsolete OpenCL cache directory: Can't check for obsolete OpenCL cache directories%d-bit--sourceSignature_ != NULLBinaryProgramFilesourceSignatureSize_ > 0Unexpected EOFSource code signature/hash mismatch (program source code has been changed/updated)Can't open binary program file: : Unknown error : readUInt32Can't remove: clearFileseekReadAbsoluteInvalid file (empty): fileSourceSignatureSize > 0numberOfEntries > 0Invalid file: seekReadRelativebuildFromSourcessrc_->kind_ == ProgramSource::Impl::PROGRAM_SOURCE_CODEclCreateProgramWithSourcehandle || retval != CL_SUCCESSOpenCL: query kernel names (build from sources)...Can't create file: fileSourceSignatureSize == sourceSignatureSize_seekWriteAbsolutewriteUInt32!devices.empty()getPrefixStringgetProgramBinaryclGetProgramInfo(handle, CL_PROGRAM_BINARY_SIZES, sizeof(sz), &sz, NULL)clGetProgramInfo(handle, CL_PROGRAM_BINARIES, sizeof(ptr), &ptr, NULL)OPENCV_OPENCL_PROGRAM_CACHEdeallocate_clEnqueueReadBuffer(q, (cl_mem)u->handle, CL_TRUE, 0, u->size, alignedPtr.getAlignedPtr(), 0, 0, 0)u->mapcount == 0clEnqueueMapBuffer(handle=%p, sz=%lld) => %pu->origdata == data && "Details: https://github.com/opencv/opencv/issues/6293"u->originalUMatData->data == dataclEnqueueUnmapMemObject(handle=%p, data=%p, [sz=%lld])clReleaseMemObject(ptr=%p)u->origdata == NULLclReleaseMemObject((cl_mem)u->handle)_findAndRemoveEntryFromAllocatedList(entry, buffer)entry.capacity_ != 0_releaseBufferEntryentry.clBuffer_ != NULLclReleaseMemObject(entry.clBuffer_)OPENCV_OPENCL_BUFFER_FORCE_COPYINGOPENCV_OPENCL_BUFFER_FORCE_MAPPINGclCreateBuffer(capacity=%lld) => %p_allocateBufferEntryu->origdata != 0clCreateBuffer(CL_MEM_USE_HOST_PTR|(createFlags & ~CL_MEM_ALLOC_HOST_PTR), sz=%lld, origdata=%p) => %pclCreateBuffer(CL_MEM_COPY_HOST_PTR|CL_MEM_READ_WRITE|createFlags, sz=%lld, origdata=%p) => %pclCreateBuffer() => %pu->refcount == 0 && "UMat deallocation error: some derived Mat is still alive"mapu->refcount == 1u->mapcount++ == 0clEnqueueReadBuffer(q, handle=%p, CL_TRUE, 0, sz=%lld, data=%p, 0, 0, 0)unmapu->mapcount-- == 1clEnqueueWriteBuffer(q, handle=%p, CL_TRUE, 0, sz=%lld, data=%p, 0, 0, 0)clEnqueueReadBuffer(q, (cl_mem)u->handle, CL_TRUE, srcrawofs, total, alignedPtr.getAlignedPtr(), 0, 0, 0)new_srcstep[0] >= new_sz[0]clEnqueueReadBuffer(q, (cl_mem)u->handle, CL_TRUE, new_srcrawofs, total, ptr, 0, 0, 0)clEnqueueReadBufferRect(q, (cl_mem)u->handle, CL_TRUE, new_srcofs, new_dstofs, new_sz, new_srcstep[0], 0, new_dststep[0], 0, ptr, 0, 0, 0)checkContinuousu->refcount == 0 || u->tempUMat()clEnqueueWriteBuffer(q, handle=%p, CL_TRUE, offset=%lld, sz=%lld, data=%p, 0, 0, 0)new_dststep[0] >= new_sz[0] && new_srcstep[0] >= new_sz[0]clEnqueueReadBuffer(q, (cl_mem)u->handle, CL_TRUE, new_dstrawofs, total, ptr, 0, 0, 0)clEnqueueWriteBuffer(q, (cl_mem)u->handle, CL_TRUE, new_dstrawofs, total, ptr, 0, 0, 0)clEnqueueWriteBufferRect(q, (cl_mem)u->handle, CL_TRUE, new_dstofs, new_srcofs, new_sz, new_dststep[0], 0, new_srcstep[0], 0, ptr, 0, 0, 0)dst->refcount == 0clEnqueueCopyBuffer(q, src=%p, dst=%p, src_offset=%lld, dst_offset=%lld, sz=%lld, 0, 0, 0)clEnqueueReadBuffer(q, (cl_mem)src->handle, CL_TRUE, new_srcrawofs, src_total, srcptr, 0, 0, 0)clEnqueueReadBuffer(q, (cl_mem)dst->handle, CL_TRUE, new_dstrawofs, dst_total, dstptr, 0, 0, 0)clEnqueueWriteBuffer(q, (cl_mem)dst->handle, CL_TRUE, new_dstrawofs, dst_total, dstptr, 0, 0, 0)retval = clEnqueueCopyBufferRect(q, (cl_mem)src->handle, (cl_mem)dst->handle, new_srcofs, new_dstofs, new_sz, new_srcstep[0], 0, new_dststep[0], 0, 0, 0, 0)HOST_ALLOCOCLgetBufferPoolController(): unknown BufferPool ID getBufferPoolControllerclGetDeviceIDs(platform, Device::TYPE_ALL, num_entries=0, devices=NULL, numDevices=%p)getDevicesclGetDeviceIDs(platform, (cl_device_type)Device::TYPE_ALL, numDevices, &devices[0], &numDevices)getPlatformsOpenCL runtime not found!ocl::Device::getDefault().imageSupport()Image format is not supportedIncorrect UMat, handle is null!alias || canCreateAlias(src)clCreateImage()clCreateBuffer(CL_MEM_READ_ONLY, sz=%lld) => %pclEnqueueCopyBufferRect(queue, (cl_mem)src.handle(ACCESS_READ), devData, origin, origin, roi, src.step, 0, src.cols * src.elemSize(), 0, 0, NULL, NULL)clFlush(queue)clEnqueueCopyBufferToImage(queue, devData, handle, 0, origin, region, 0, NULL, 0)clReleaseMemObject(devData)isFormatSupportedclGetSupportedImageFormats(CL_MEM_OBJECT_IMAGE2D, NULL)clGetSupportedImageFormats(CL_MEM_OBJECT_IMAGE2D, formats)clFinish((cl_command_queue)queue.ptr())_init_devicefound && "OpenCL device can't work with passed OpenCL context"reservedEntries_.empty()~OpenCLBufferPoolBaseImplDIG(f)h) WARNING: OpenCV-OpenCL: In-memory cache for OpenCL programs is full, older programs will be unloaded. You can change cache size via OPENCV_OPENCL_PROGRAM_CACHE environment variable cn == 2 || cn == 3 || cn == 4setVertexArray/Users/runner/work/opencv/opencv/modules/core/src/opengl.cppdepth == CV_16S || depth == CV_32S || depth == CV_32F || depth == CV_64Fcn == 3 || cn == 4setColorArraysetNormalArraydepth == CV_8S || depth == CV_16S || depth == CV_32S || depth == CV_32F || depth == CV_64Fcn >= 1 && cn <= 4setTexCoordArrayOpenCV was build without OpenGL supportinitializeContextFromGLconvertToGLTexture2DconvertFromGLTexture2DmapGLBufferunmapGLBufferthrow_no_oglFormattedImpl/Users/runner/work/opencv/opencv/modules/core/src/out.cpp%%.%dg%3d (:, :, %d) = (:, :, %d) = uint8uint16int32float32float64], dtype='%s'){}!flag && "OpenVX support isn't enabled at compile time"setUseOpenVX/Users/runner/work/opencv/opencv/modules/core/src/ovx.cppparallel_for/Users/runner/work/opencv/opencv/modules/core/src/parallel.cpprange.startrange.endnstripesOPENCV_FOR_THREADS_NUMgcdparallel_for_bodycore(parallel): no compatible plugin API for backend: in /Users/runner/work/opencv/opencv/modules/core/src/parallel/plugin_parallel_wrapper.impl.hpploadPlugincore(parallel): exception during plugin initialization: . SKIPbool cv::parallel::setParallelForBackend(const std::string &, bool)/Users/runner/work/opencv/opencv/modules/core/src/parallel/parallel.cppcore(parallel): backend is already activated: setParallelForBackendcore(parallel): replacing parallel backend...core(parallel): backend is not available: (using builtin legacy code)core(parallel): switched to builtin code (legacy)backendName_u == getParallelBackendName()core(parallel): Builtin backends(): /Users/runner/work/opencv/opencv/modules/core/src/parallel/registry_parallel.impl.hppParallelBackendRegistrycore(parallel): Updated backends priorities: OPENCV_PARALLEL_PRIORITY_%sparam_priority == (size_t)(int)param_prioritycore(parallel): Disable backend: core(parallel): Available backends(core(parallel): Enabled backends(, sorted by priority): ; OPENCV_PARALLEL_PRIORITY_LISTcore(parallel): Configured priority list (OPENCV_PARALLEL_PRIORITY_LIST): readPrioritySettingscore(parallel): New backend priority: '' => core(parallel): Adding parallel backend (plugin): 'OPENCV_CORE_PLUGIN_PATHopencv_core_parallel_OPENCV_CORE_PARALLEL_PLUGIN_core(parallel): plugin's glob is '', location(s)getPluginCandidates - Found plugin(s) for core(parallel): Initializing parallel backend...createDefaultParallelForAPIOPENCV_PARALLEL_BACKENDcore(parallel): requested backend name: createParallelForAPIcore(parallel): trying backend: (priority=core(parallel): factory is not available (plugins require filesystem support): core(parallel): using backend: core(parallel): can't initialize backend: Unknown C++ exception backend: core(parallel): fallback on builtin codecore(parallel): unknown backend: opencv_core_parallel_plugin_init_v0Found entry: 'initPluginAPIcore(parallel): plugin is incompatible (can't be initialized): core(parallel): plugin is ready to use 'core(parallel): plugin is incompatible, missing init function: '', file: core(parallel): wrong OpenCV major version used by plugin '%d.%d, OpenCV version is '4.5.5'checkCompatibilitycore(parallel): wrong OpenCV minor version used by plugin 'core(parallel): initialized '': built with OpenCV %d.%d (ABI/API = %d/%d), current OpenCV version is '4.5.5' (ABI/API = core(parallel): plugin is not supported due to incompatible ABI = core(parallel): NOTE: plugin is supported, but there is API version mismath: plugin API level (%d) != OpenCV API level (%d)core(parallel): NOTE: some functionality may be unavailable due to lack of support by plugin implementationcore(parallel): exception during plugin loading: initBackendOPENCV_THREAD_POOL_ACTIVE_WAIT_PAUSE_LIMITOPENCV_THREAD_POOL_ACTIVE_WAIT_WORKEROPENCV_THREAD_POOL_ACTIVE_WAIT_MAINOPENCV_THREAD_POOL_ACTIVE_WAIT_THREADS_LIMITdata.channels() == 1/Users/runner/work/opencv/opencv/modules/core/src/pca.cpp_mean.size() == mean_sznamePCAvectorsvalues(String)fn["name"] == "PCA"retainedVariance > 0 && retainedVariance <= 1!mean.empty() && !eigenvectors.empty() && ((mean.rows == 1 && mean.cols == data.cols) || (mean.cols == 1 && mean.rows == data.rows))project!mean.empty() && !eigenvectors.empty() && ((mean.rows == 1 && eigenvectors.rows == data.cols) || (mean.cols == 1 && eigenvectors.rows == data.rows))backProjectvoid cv::PCACompute(cv::InputArray, cv::InputOutputArray, cv::OutputArray, int)void cv::PCACompute(cv::InputArray, cv::InputOutputArray, cv::OutputArray, cv::OutputArray, int)void cv::PCACompute(cv::InputArray, cv::InputOutputArray, cv::OutputArray, double)void cv::PCACompute(cv::InputArray, cv::InputOutputArray, cv::OutputArray, cv::OutputArray, double)void cv::PCAProject(cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray)void cv::PCABackProject(cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray)%d.0%d.%.16e-.Inf.Inf%.4e%.8e%d%cfmt_pairs != 0 && max_len > 0decodeFormat/Users/runner/work/opencv/opencv/modules/core/src/persistence.cppInvalid data type specificationToo long data type specificationUnknown type identifier: '%c' in '%s'calcStructSizeToo complex format for the matrixdecodeSimpleFormat NULL or empty filenameopenFileStorage::APPEND and FileStorage::MEMORY are not currently compatibleAppending data to compressed file is not implementedrtwta+t.gz.xml.xml.gz.json.json.gzUTF-16UTF-16 XML encoding is not supported! Use 8-bit encoding strlen(encoding) < 1000 Could not find in the end of file. r+t %YAML:1.0 --- ... --- fmt == FileStorage::FORMAT_JSON{ ,Could not find '}' in the end of file. %YAML= bufferstart && ptr <= bufferEnd()setBufferPtrgetCurrentStructprocessSpecialDoubleBad format of floating-point constanttype == FileNode::SEQ || type == FileNode::MAPconvertToCollectiontype == FileNode::SEQThe node of type %d cannot be converted to collectionblockIdx == fs_data_ptrs.size() - 1reserveNodeSpaceofs <= fs_data_blksz[blockIdx]freeSpaceOfs <= fs_data_blksz[blockIdx]ptr >= fs_data_ptrs[blockIdx] && ptr <= blockEnd_addNodeMap element should have a nameSequence element should not have name (use <_>)ofs == fs_data_blksz[blockIdx]normalizeNodeOfsreadMore!parser.empty() && ptr!base64decoder.endOfStream()parseBase64%s(%d): %sblockIdx < fs_data_ptrs.size()getNodePtrofs < fs_data_blksz[blockIdx]nameofs < str_hash_data.size()getNameInvalid filenamegetDefaultObjectNameExtra closing '%c'The closing '%c' does not match the opening '%c'!fs_impl->write_stack.empty()Incorrect element name %s; should start with a letter or '_'Invalid fs.stateoperator[]key2 < fs->str_hash_data.size()0 <= i && i < szkeystp == STRING || tp == SEQ || tp == MAPrawSizesetValuecurrent_type == NONE || current_type == typeOnly scalar types can be dynamically assigned to a file nodeoperator+=maxsz % esz == 0readRawreadRawData can only be used to read plain sequences of numberssymbolToTypeallocator::allocate(size_t n) 'n' exceeds maximum supported sizebuffer.size() < ::base64::HEADER_SIZEmake_base64_header/Users/runner/work/opencv/opencv/modules/core/src/persistence_base64_encoding.cppABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/Base64Writercheck_dt'dt' does not match.RawDataToBinaryConvertormake_to_binary_funcstype is not supportedBase64ContextEmitterSome collection type - FileNode::SEQ or FileNode::MAP, must be specified/Users/runner/work/opencv/opencv/modules/core/src/persistence_json.cppNull string pointerThe written string is too longAt present, output Base64 data only.writeScalarThe key is an emptyThe key is too longAn attempt to add element without a key to a map, or add element with key to sequenceKey must start with a letter or _Key names may only contain alphanumeric characters [a-zA-Z0-9], '-', '_' and ' '... --- parseleft-brace of top level is missingskipSpacesNot supported escape characterInvalid character in the streamAbort at parse timeparseMap'{' - left-brace of map is missingUnexpected character'}' - right-brace of map is missingparseKeyKey must start with '"'OpenCV persistence doesn't support very long linesKey must end with '"'Missing ':' between key and valueparseValueInvalid value inputUnexpected End-Of-File'"' - right-quote of string is missingstring is too long'\uXXXX' currently not supportedInvalid escape characterInvalid numeric value (inconsistent explicit type specification?)Value 'null' is not supported by this parserUnrecognized valueparseSeq'[' - left-brace of seq is missing']' - right-brace of seq is missinggetBase64RowUnexpected end of linerowscolsdtdataopencv-nd-matrixsizesopencv-sparse-matrix/Users/runner/work/opencv/opencv/modules/core/src/persistence_types.cpp!sizes_node.empty()!data_node.empty()nelems == m.total()*m.channels()writeTag/Users/runner/work/opencv/opencv/modules/core/src/persistence_xml.cppA single _ is a reserved tag nameClosing tag should not include any attributesKey should start with a letter or _Key name may only contain alphanumeric characters [a-zA-Z0-9], '-' and '_'#x%02xelements with keys can not be written to sequenceDouble hyphen '--' is not allowed in the comments Valid XML should start with ''opencv_storage tag is missing tag is missingComments are not allowed hereparseTagInvalid tag inputUnexpected end of the streamTag should start with '<'ptr[1] != '-' || ptr[2] != '-'Unknown tag typeName should start with a letter or underscoreClosing tag should not contain any attributesInvalid attributeAttribute name should be followed by '='Attribute value should be put into single or double quotestype_name.empty()Invalid closing tag for are not allowed. Use ' or >Invalid numeric value in the stringInvalid character in the symbol entity nameToo long string literal/Users/runner/work/opencv/opencv/modules/core/src/persistence_yml.cpp!!%s %c!!%sx%02xUnsupported YAML version (it must be 1.x)The YAML streams must start with '---', except the first oneInvalid or unsupported syntaxOnly collections as YAML streams are supported by this parserIncorrect indentationToo long string or a last string w/o newlineTabs are prohibited in YAML!Invalid characterThe wrong closing bracketMissing , between the elementsComplex keys are not supportedMulti-line text literals are not supportedBlock sequence elements must be preceded with '-'Key may not start with '-'fill/Users/runner/work/opencv/opencv/modules/core/src/rand.cpp_param1.channels() == 1 && (_param1.rows == 1 || _param1.cols == 1) && (_param1.rows + _param1.cols - 1 == cn || _param1.rows + _param1.cols - 1 == 1 || (_param1.size() == Size(1, 4) && _param1.type() == CV_64F && cn <= 4))_param2.channels() == 1 && (((_param2.rows == 1 || _param2.cols == 1) && (_param2.rows + _param2.cols - 1 == cn || _param2.rows + _param2.cols - 1 == 1 || (_param1.size() == Size(1, 4) && _param1.type() == CV_64F && cn <= 4))) || (_param2.rows == cn && _param2.cols == cn && disttype == NORMAL))Unknown distribution typevoid cv::randu(cv::InputOutputArray, cv::InputArray, cv::InputArray)void cv::randn(cv::InputOutputArray, cv::InputArray, cv::InputArray)void cv::randShuffle(cv::InputOutputArray, double, cv::RNG *)dst.elemSize() <= 32randShufflerandShuffle_void cv::hal::cpu_baseline::split8u(const uchar *, uchar **, int, int)/Users/runner/work/opencv/opencv/modules/core/src/split.simd.hppvoid cv::hal::cpu_baseline::split16u(const ushort *, ushort **, int, int)void cv::hal::cpu_baseline::split32s(const int *, int **, int, int)void cv::hal::cpu_baseline::split64s(const int64 *, int64 **, int, int)void cv::hal::split8u(const uchar *, uchar **, int, int)/Users/runner/work/opencv/opencv/modules/core/src/split.dispatch.cppvoid cv::hal::split16u(const ushort *, ushort **, int, int)void cv::hal::split32s(const int *, int **, int, int)void cv::hal::split64s(const int64 *, int64 **, int, int)void cv::split(const cv::Mat &, cv::Mat *)splitvoid cv::split(cv::InputArray, cv::OutputArrayOfArrays)!_mv.fixedType() || _mv.empty() || _mv.type() == m.depth()DECLARE_DST_PARAM(%d)-D T=%s -D OP_SPLIT -D cn=%d -D DECLARE_DST_PARAMS=%s -D PROCESS_ELEMS_N=%s -D DECLARE_INDEX_N=%svecsplit_int cv::hal::normHamming(const uchar *, int)/Users/runner/work/opencv/opencv/modules/core/src/stat.dispatch.cppint cv::hal::normHamming(const uchar *, const uchar *, int)0 < coi && coi <= 4cvSum/Users/runner/work/opencv/opencv/modules/core/src/stat_c.cppcvAvgcvAvgSdvcv::SumFunc cv::getSumFunc(int)/Users/runner/work/opencv/opencv/modules/core/src/sum.dispatch.cppsum_op == OCL_OP_SUM || sum_op == OCL_OP_SUM_ABS || sum_op == OCL_OP_SUM_SQRocl_sumOP_SUMOP_SUM_ABSOP_SUM_SQR-D srcT=%s -D srcT1=%s -D dstT=%s -D dstTK=%s -D dstT1=%s -D ddepth=%d -D cn=%d -D convertToDT=%s -D %s -D WGS=%d -D WGS2_ALIGNED=%d%s%s%s%s -D kercn=%d%s%s%s -D convertFromU=%scv::Scalar cv::sum(cv::InputArray)sumint cv::cpu_baseline::sum8u(const uchar *, const uchar *, int *, int, int)/Users/runner/work/opencv/opencv/modules/core/src/sum.simd.hppint cv::cpu_baseline::sum8s(const schar *, const uchar *, int *, int, int)int cv::cpu_baseline::sum16u(const ushort *, const uchar *, int *, int, int)int cv::cpu_baseline::sum16s(const short *, const uchar *, int *, int, int)int cv::cpu_baseline::sum32s(const int *, const uchar *, double *, int, int)int cv::cpu_baseline::sum32f(const float *, const uchar *, double *, int, int)int cv::cpu_baseline::sum64f(const double *, const uchar *, double *, int, int)OPENCV_DUMP_ERRORS> OpenCV(%s) %s:%d: error: (%d:%s) in function '%s' %s4.5.5OpenCV(%s) %s:%d: error: (%d:%s) %s in function '%s' OpenCV(%s) %s:%d: error: (%d:%s) %s%s* ? General configuration for OpenCV 4.5.5 ===================================== Version control: 0bf2864 Extra modules: Location (extra): /Users/runner/work/opencv/opencv/3rdparty/modules Version control (extra): 0bf2864 Platform: Timestamp: 2022-02-05T15:26:11Z Host: Darwin 20.6.0 x86_64 CMake: 3.22.2 CMake generator: Unix Makefiles CMake build tool: /usr/bin/make Configuration: Release CPU/HW features: Baseline: SSE SSE2 SSE3 SSSE3 requested: DETECT Dispatched code generation: SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX SSE4_1 (13 files): + SSE4_1 SSE4_2 (1 files): + SSE4_1 POPCNT SSE4_2 FP16 (0 files): + SSE4_1 POPCNT SSE4_2 FP16 AVX AVX (3 files): + SSE4_1 POPCNT SSE4_2 AVX AVX2 (24 files): + SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX512_SKX (2 files): + SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX C/C++: Built as dynamic libs?: NO C++ standard: 11 C++ Compiler: /Applications/Xcode_13.2.1.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/c++ (ver 13.0.0.13000029) C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wno-delete-non-virtual-dtor -Wno-unnamed-type-template-args -Wno-comment -fdiagnostics-show-option -Wno-long-long -Qunused-arguments -Wno-semicolon-before-method-body -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wno-delete-non-virtual-dtor -Wno-unnamed-type-template-args -Wno-comment -fdiagnostics-show-option -Wno-long-long -Qunused-arguments -Wno-semicolon-before-method-body -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG C Compiler: /Applications/Xcode_13.2.1.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/cc C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wno-delete-non-virtual-dtor -Wno-unnamed-type-template-args -Wno-comment -fdiagnostics-show-option -Wno-long-long -Qunused-arguments -Wno-semicolon-before-method-body -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wno-delete-non-virtual-dtor -Wno-unnamed-type-template-args -Wno-comment -fdiagnostics-show-option -Wno-long-long -Qunused-arguments -Wno-semicolon-before-method-body -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG Linker flags (Release): -Wl,-dead_strip Linker flags (Debug): -Wl,-dead_strip ccache: NO Precompiled headers: NO Extra dependencies: -framework OpenCL /Applications/Xcode_13.2.1.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX12.1.sdk/System/Library/Frameworks/Accelerate.framework -lm -ldl -framework AppKit 3rdparty dependencies: libjpeg-turbo libpng libtiff libopenjp2 libcharls libijg8 libijg12 libijg16 zlib OpenCV modules: To be built: core img_hash imgcodecs imgproc java Disabled: calib3d features2d flann gapi highgui ml objdetect photo python_bindings_generator python_tests stitching video videoio world Disabled by dependency: - Unavailable: dnn python2 python3 ts Applications: - Documentation: NO Non-free algorithms: NO GUI: Cocoa: YES Media I/O: ZLib: build (ver 1.2.11) JPEG: build-libjpeg-turbo (ver 2.1.2-62) PNG: build (ver 1.6.37) TIFF: build (ver 42 - 4.2.0) JPEG 2000: build (ver 2.4.0) OPENJPEG: build (ver 2.4.0) CHARLS: build (ver 2.2.0) IJG: build (ver 6b) HDR: YES SUNRASTER: YES PXM: YES PFM: YES Video I/O: DC1394: NO FFMPEG: NO avcodec: NO avformat: NO avutil: NO swscale: NO avresample: NO GStreamer: NO AVFoundation: YES Parallel framework: GCD Trace: YES (built-in) Other third-party libraries: Lapack: YES (/Applications/Xcode_13.2.1.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX12.1.sdk/System/Library/Frameworks/Accelerate.framework -lm -ldl) Eigen: NO Custom HAL: NO OpenCL: YES (no extra features) Include path: NO Link libraries: -framework OpenCL Python (for build): /usr/local/bin/python2.7 Java: export all functions ant: /usr/local/bin/ant (ver 1.10.12) JNI: /Users/runner/hostedtoolcache/Java_Temurin-Hotspot_jdk/11.0.14-9/x64/Contents/Home/include /Users/runner/hostedtoolcache/Java_Temurin-Hotspot_jdk/11.0.14-9/x64/Contents/Home/include/darwin /Users/runner/hostedtoolcache/Java_Temurin-Hotspot_jdk/11.0.14-9/x64/Contents/Home/include Java wrappers: YES Java tests: NO Install to: /usr/local ----------------------------------------------------------------- len >= 0 && "Check format string for errors"/Users/runner/work/opencv/opencv/modules/core/src/system.cppOPENCV_TEMP_PATH/tmp/__opencv_temp.XXXXXX/__opencv_temp.XXXXXXNo ErrorBacktraceUnspecified errorInternal errorInsufficient memoryBad argumentIterations do not convergeAutotrace callIncorrect size of input arrayNull pointerDivision by zero occurredImage step is wrongInplace operation is not supportedRequested object was not foundInput image depth is not supported by functionFormats of input arguments do not matchSizes of input arguments do not matchOne of the arguments' values is out of rangeUnsupported format or combination of formatsInput COI is not supportedBad number of channelsBad flag (parameter or structure field)Bad parameter of type CvPointBad type of mask argumentParsing errorThe function/feature is not implementedMemory block has been corruptedAssertion failedNo CUDA supportGpu API callNo OpenGL supportOpenGL API callUnknown %s code %dstatuserrorpthread_key_create(&tlsKey, opencv_tls_destructor) == 0TlsAbstractionOpenCV ERROR: TlsAbstraction::~TlsAbstraction(): pthread_key_delete() call failed pthread_setspecific(tlsKey, pData) == 0setData~TLSDataContainerkey_ != -1 && "Can't fetch data from terminated TLS container."getDataOPENCV_DUMP_CONFIG OpenCV build configuration is: %s OPENCV_SKIP_CPU_BASELINE_CHECK ****************************************************************** * FATAL ERROR: * * This OpenCV build doesn't support current CPU/HW configuration * * * * Use OPENCV_DUMP_CONFIG=1 environment variable for details * ****************************************************************** Required baseline features: Missing support for required CPU baseline features. Check OpenCV build configuration and required CPU/HW setup.initializeMMXSSESSE2SSE3SSSE3SSE4.1SSE4.2POPCNTFP16AVXAVX2FMA3AVX512FAVX512BWAVX512CDAVX512DQAVX512ERAVX512IFMAAVX512PFAVX512VBMIAVX512VLAVX512VBMI2AVX512VNNIAVX512BITALGAVX512VPOPCNTDQAVX5124VNNIWAVX5124FMAPSNEONVSXVSX3CPU_MSARISCVVAVX512-COMMONAVX512-SKXAVX512-KNLAVX512-KNMAVX512-CNLAVX512-CLXAVX512-ICLRVV ID=%3d (%s) - OK ID=%3d (%s) - NOT AVAILABLE OPENCV_CPU_DISABLEfeature.size() > 0readSettingsOPENCV: Trying to disable baseline CPU feature: '%s'.This has very limited effect, because code optimizations for this feature are executed unconditionally in the most cases. OPENCV: Trying to disable unavailable CPU feature on the current platform: '%s'. OPENCV: Trying to disable unknown CPU feature: '%s'. Unknown featureOpenCV(%s) Error: %s (%s) in %s, file %s, line %dunknown function%s OpenCV ERROR: TLS: container for slotIdx=%d is NULL. Can't release thread data OpenCV WARNING: TLS: Can't release thread TLS data (unknown pointer or data race): %p tlsSlotsSize == tlsSlots.size()reserveSlotgathertlsSlotsSize > slotIdxreleaseSlot1TrueTRUEFalseFALSEInvalid value for parameter : MBMbmbKBKbkbOPENCV_TRACE_DEPTH_OPENCVOPENCV_TRACE_MAX_CHILDREN_OPENCVOPENCV_TRACE_MAX_CHILDRENOPENCV_TRACE_SYNC_OPENCLOpenCV parent region exceeds children count. Bailout/Users/runner/work/opencv/opencv/modules/core/src/trace.cppRegionParent region exceeds children count. BailoutRegion location is disabled. Bailout%s-%03d.txt#thread file: %s .txtTrace: Total events: ~TraceManagerTrace: Total skipped events: ctx.dummy_stack_top.region == NULLparallelForSetRootRegionctx.stack.empty()traceArgl,%lld,"%s",%d,"%s",0x%llX b,%d,%lld,%lld,%lld,parentThread=%d,parent=%llde,%d,%lld,%lld,%lld,%lld,skip=%d,tOCL=%lldOPENCV_TRACE_LOCATIONOpenCVTrace#description: OpenCV trace file#version: 1.0OPENCV_TRACEcleanupMode == false/Users/runner/work/opencv/opencv/modules/core/include/opencv2/core/utils/tls.hppstatic void cv::KeyPoint::convert(const std::vector &, std::vector &, const std::vector &)/Users/runner/work/opencv/opencv/modules/core/src/types.cppkeypointIndexes has element < 0. TODO: process this caseconvertstatic void cv::KeyPoint::convert(const std::vector &, std::vector &, float, float, int, int)std::fabs(vecs[0].ddot(vecs[1])) * a <= FLT_EPSILON * 9 * x * (norm(vecs[0]) * norm(vecs[1]))RotatedRect~UMatData/Users/runner/work/opencv/opencv/modules/core/src/umatrix.cppdata == datastartException: %s new_u->tempUMat()UMatu->data != 0 && "Error mapping of UMat to host memory."getMat!u->deviceCopyObsolete() || u->copyOnMap()void cv::UMat::copyTo(cv::OutputArray) constvoid cv::UMat::copyTo(cv::OutputArray, cv::InputArray) constmdepth == CV_8U && (mcn == 1 || mcn == cn)-D COPY_TO_MASK -D T1=%s -D scn=%d -D mcn=%d%s -D HAVE_DST_UNINITcopyToMaskvoid cv::UMat::convertTo(cv::OutputArray, int, double, double) const-D srcT=%s -D WT=%s -D dstT=%s -D convertToWT=%s -D convertToDT=%s%s%s -D NO_SCALEcv::UMat &cv::UMat::setTo(cv::InputArray, cv::InputArray)checkScalar(value, type(), _value.kind(), _InputArray::UMAT)-D dstT=%s -D rowsPerWI=%d -D dstST=%s -D dstT1=%s -D cn=%dsetMaskmask.size() == size() && mask.type() == CV_8UC1usage_count == 0lockusage_count == 1OPENCV_DATA_PATHutils::findDataFile('%s', %s)/Users/runner/work/opencv/opencv/modules/core/src/utils/datafile.cppfindDataFile... Line %d: trying open '%s'rb_HINTutils::findDataFile(): trying _HINT=_HINT is specified but it is not a directory: = is specified but it is not a directory: utils::findDataFile(): can't find data file via configuration override: /Users/runner/work/opencv/opencv/build/macosx-x86-64utils::findDataFile(): the current directory is build sub-directory: ../..//utils::findDataFile(): /modules/core/include/opencv2/core/version.hpputils::findDataFile(): the current directory is source sub-directory: utils::findDataFile(): Detected module path: 'Can't detect module binaries locationutils::findDataFile(): the binary module directory is build sub-directory: ../share/opencv4utils::findDataFile(): trying install path (from binary path): utils::findDataFile(): ... skip, not a valid directory: utils::findDataFile(): trying install path: cv::utils::findDataFile('%s', %s, %s)NULLOpenCV: Can't find required data file: %sisSubDirectory(): base: path: => result: isSubDirectorybool cv::utils::fs::exists(const cv::String &)/Users/runner/work/opencv/opencv/modules/core/src/utils/filesystem.cppCan't remove directory: remove_allCan't remove file: cv::String cv::utils::fs::getcwd()bool cv::utils::fs::createDirectory(const cv::String &)./.\unlockpImpl->lock_shared()lock_sharedpImpl->unlock_shared()unlock_sharedTMPDIR/tmp/Using world accessible cache directory. This may be not secure: getCacheDirectoryOPENCV_CACHE_SHOW_CLEANUP_MESSAGECreating new OpenCV cache directory: There are several neighbour directories, probably created by old OpenCV versions.Feel free to cleanup these unused directories: - Note: This message is showed only once.Can't find default cache directory (does it exist?): Specified non-existed directory, creating OpenCV sub-directory for caching purposes: Can't create OpenCV cache sub-directory: cache_path.empty() || utils::fs::isDirectory(cache_path)skip auto unloading (disabled): /Users/runner/work/opencv/opencv/modules/core/src/utils/plugin_loader.impl.hpp~DynamicLibload => OKFAILEDlibraryLoadunload libraryReleaseDEBUGDISABLEDISABLEDERRORFATALINFOOFFSILENTVERBOSEWARNWARNINGWARNINGSvoid cv::utils::logging::LogTagManager::assign(const std::string &, cv::utils::logging::LogTag *)/Users/runner/work/opencv/opencv/modules/core/src/utils/logtagmanager.cppcv::utils::logging::LogTag *cv::utils::logging::LogTagManager::get(const std::string &)void cv::utils::logging::LogTagManager::setLevelByFullName(const std::string &, cv::utils::logging::LogLevel)void cv::utils::logging::LogTagManager::setLevelByNamePart(const std::string &, cv::utils::logging::LogLevel, cv::utils::logging::LogTagManager::MatchingScope)fullNameResult.m_findCrossReferencesinternal_applyNamePartConfigToSpecificTagnamePartResult.m_findCrossReferencesinternal_applyNamePartConfigToMatchingTagsscope != MatchingScope::Fullcv::samples::findFile('%s', %s)/Users/runner/work/opencv/opencv/modules/core/src/utils/samples.cppfindFileOPENCV_SAMPLES_DATA_PATHcv::samples::findFile('') => 'OpenCV samples: Can't find required data file: %sOpenCV was build without VA support (libva)initializeContextFromVA/Users/runner/work/opencv/opencv/modules/core/src/va_intel.cppconvertToVASurfaceconvertFromVASurfacecorearithm#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined cl_khr_fp64 #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #ifdef INTEL_DEVICE #pragma OPENCL FP_CONTRACT ON #pragma OPENCL FP_FAST_FMAF ON #pragma OPENCL FP_FAST_FMA ON #endif #if !defined(DEPTH_dst) #error "Kernel configuration error: DEPTH_dst value is required" #elif !(DEPTH_dst >= 0 && DEPTH_dst <= 7) #error "Kernel configuration error: invalid DEPTH_dst value" #endif #if defined(depth) #error "Kernel configuration error: ambiguous 'depth' value is defined, use 'DEPTH_dst' instead" #endif #if DEPTH_dst < 5 #define CV_DST_TYPE_IS_INTEGER #else #define CV_DST_TYPE_IS_FP #endif #if DEPTH_dst != 6 #define CV_DST_TYPE_FIT_32F 1 #else #define CV_DST_TYPE_FIT_32F 0 #endif #if CV_DST_TYPE_FIT_32F #define CV_PI M_PI_F #else #define CV_PI M_PI #endif #ifndef cn #define cn 1 #endif #if cn == 1 #undef srcT1_C1 #undef srcT2_C1 #undef dstT_C1 #define srcT1_C1 srcT1 #define srcT2_C1 srcT2 #define dstT_C1 dstT #endif #if cn != 3 #define storedst(val) *(__global dstT *)(dstptr + dst_index) = val #define storedst2(val) *(__global dstT *)(dstptr2 + dst_index2) = val #else #define storedst(val) vstore3(val, 0, (__global dstT_C1 *)(dstptr + dst_index)) #define storedst2(val) vstore3(val, 0, (__global dstT_C1 *)(dstptr2 + dst_index2)) #endif #define noconvert #ifndef workT #ifndef srcT1 #define srcT1 dstT #endif #ifndef srcT1_C1 #define srcT1_C1 dstT_C1 #endif #ifndef srcT2 #define srcT2 dstT #endif #ifndef srcT2_C1 #define srcT2_C1 dstT_C1 #endif #define workT dstT #if cn != 3 #define srcelem1 *(__global srcT1 *)(srcptr1 + src1_index) #define srcelem2 *(__global srcT2 *)(srcptr2 + src2_index) #else #define srcelem1 vload3(0, (__global srcT1_C1 *)(srcptr1 + src1_index)) #define srcelem2 vload3(0, (__global srcT2_C1 *)(srcptr2 + src2_index)) #endif #ifndef convertToDT #define convertToDT noconvert #endif #else #ifndef convertToWT2 #define convertToWT2 convertToWT1 #endif #if cn != 3 #define srcelem1 convertToWT1(*(__global srcT1 *)(srcptr1 + src1_index)) #define srcelem2 convertToWT2(*(__global srcT2 *)(srcptr2 + src2_index)) #else #define srcelem1 convertToWT1(vload3(0, (__global srcT1_C1 *)(srcptr1 + src1_index))) #define srcelem2 convertToWT2(vload3(0, (__global srcT2_C1 *)(srcptr2 + src2_index))) #endif #endif #ifndef workST #define workST workT #endif #define EXTRA_PARAMS #define EXTRA_INDEX #define EXTRA_INDEX_ADD #if defined OP_ADD #define PROCESS_ELEM storedst(convertToDT(srcelem1 + srcelem2)) #elif defined OP_SUB #define PROCESS_ELEM storedst(convertToDT(srcelem1 - srcelem2)) #elif defined OP_RSUB #define PROCESS_ELEM storedst(convertToDT(srcelem2 - srcelem1)) #elif defined OP_ABSDIFF #if wdepth <= 4 #define PROCESS_ELEM \ storedst(convertToDT(convertFromU(abs_diff(srcelem1, srcelem2)))) #else #define PROCESS_ELEM \ storedst(convertToDT(fabs(srcelem1 - srcelem2))) #endif #elif defined OP_AND #define PROCESS_ELEM storedst(srcelem1 & srcelem2) #elif defined OP_OR #define PROCESS_ELEM storedst(srcelem1 | srcelem2) #elif defined OP_XOR #define PROCESS_ELEM storedst(srcelem1 ^ srcelem2) #elif defined OP_NOT #define PROCESS_ELEM storedst(~srcelem1) #elif defined OP_MIN #define PROCESS_ELEM storedst(min(srcelem1, srcelem2)) #elif defined OP_MAX #define PROCESS_ELEM storedst(max(srcelem1, srcelem2)) #elif defined OP_MUL #define PROCESS_ELEM storedst(convertToDT(srcelem1 * srcelem2)) #elif defined OP_MUL_SCALE #undef EXTRA_PARAMS #ifdef UNARY_OP #define EXTRA_PARAMS , workST srcelem2_, scaleT scale #undef srcelem2 #define srcelem2 srcelem2_ #else #define EXTRA_PARAMS , scaleT scale #endif #define PROCESS_ELEM storedst(convertToDT(srcelem1 * scale * srcelem2)) #elif defined OP_DIV #ifdef CV_DST_TYPE_IS_INTEGER #define PROCESS_ELEM \ workT e2 = srcelem2, zero = (workT)(0); \ storedst(convertToDT(e2 != zero ? srcelem1 / e2 : zero)) #else #define PROCESS_ELEM \ workT e2 = srcelem2; \ storedst(convertToDT(srcelem1 / e2)) #endif #elif defined OP_DIV_SCALE #undef EXTRA_PARAMS #ifdef UNARY_OP #define EXTRA_PARAMS , workST srcelem2_, scaleT scale #undef srcelem2 #define srcelem2 srcelem2_ #else #define EXTRA_PARAMS , scaleT scale #endif #ifdef CV_DST_TYPE_IS_INTEGER #define PROCESS_ELEM \ workT e2 = srcelem2, zero = (workT)(0); \ storedst(convertToDT(e2 == zero ? zero : (srcelem1 * (workT)(scale) / e2))) #else #define PROCESS_ELEM \ workT e2 = srcelem2; \ storedst(convertToDT(srcelem1 * (workT)(scale) / e2)) #endif #elif defined OP_RDIV_SCALE #undef EXTRA_PARAMS #ifdef UNARY_OP #define EXTRA_PARAMS , workST srcelem2_, scaleT scale #undef srcelem2 #define srcelem2 srcelem2_ #else #define EXTRA_PARAMS , scaleT scale #endif #ifdef CV_DST_TYPE_IS_INTEGER #define PROCESS_ELEM \ workT e1 = srcelem1, zero = (workT)(0); \ storedst(convertToDT(e1 == zero ? zero : (srcelem2 * (workT)(scale) / e1))) #else #define PROCESS_ELEM \ workT e1 = srcelem1; \ storedst(convertToDT(srcelem2 * (workT)(scale) / e1)) #endif #elif defined OP_RECIP_SCALE #undef EXTRA_PARAMS #define EXTRA_PARAMS , scaleT scale #ifdef CV_DST_TYPE_IS_INTEGER #define PROCESS_ELEM \ workT e1 = srcelem1, zero = (workT)(0); \ storedst(convertToDT(e1 != zero ? scale / e1 : zero)) #else #define PROCESS_ELEM \ workT e1 = srcelem1; \ storedst(convertToDT(scale / e1)) #endif #elif defined OP_ADDW #undef EXTRA_PARAMS #define EXTRA_PARAMS , scaleT alpha, scaleT beta, scaleT gamma #if wdepth <= 4 #define PROCESS_ELEM storedst(convertToDT(mad24(srcelem1, alpha, mad24(srcelem2, beta, gamma)))) #else #define PROCESS_ELEM storedst(convertToDT(fma(srcelem1, alpha, fma(srcelem2, beta, gamma)))) #endif #elif defined OP_MAG #define PROCESS_ELEM storedst(hypot(srcelem1, srcelem2)) #elif defined OP_PHASE_RADIANS #define PROCESS_ELEM \ workT tmp = atan2(srcelem2, srcelem1); \ if (tmp < 0) \ tmp += 2 * CV_PI; \ storedst(tmp) #elif defined OP_PHASE_DEGREES #define PROCESS_ELEM \ workT tmp = degrees(atan2(srcelem2, srcelem1)); \ if (tmp < 0) \ tmp += 360; \ storedst(tmp) #elif defined OP_EXP #if wdepth == 5 #define PROCESS_ELEM storedst(native_exp(srcelem1)) #else #define PROCESS_ELEM storedst(exp(srcelem1)) #endif #elif defined OP_POW #define PROCESS_ELEM storedst(pow(srcelem1, srcelem2)) #elif defined OP_POWN #undef workT #define workT int #define PROCESS_ELEM storedst(pown(srcelem1, srcelem2)) #elif defined OP_SQRT #if CV_DST_TYPE_FIT_32F #define PROCESS_ELEM storedst(native_sqrt(srcelem1)) #else #define PROCESS_ELEM storedst(sqrt(srcelem1)) #endif #elif defined OP_LOG #define PROCESS_ELEM \ storedst(log(fabs(srcelem1))) #elif defined OP_CMP #define srcT2 srcT1 #ifndef convertToWT1 #define convertToWT1 #endif #define PROCESS_ELEM \ storedst(srcelem1 CMP_OPERATOR srcelem2 ? (dstT)(255) : (dstT)(0)) #elif defined OP_CONVERT_SCALE_ABS #undef EXTRA_PARAMS #define EXTRA_PARAMS , workT1 alpha, workT1 beta #if wdepth <= 4 #define PROCESS_ELEM \ workT value = mad24(srcelem1, (workT)(alpha), (workT)(beta)); \ storedst(convertToDT(abs(value))) #else #define PROCESS_ELEM \ workT value = fma(srcelem1, (workT)(alpha), (workT)(beta)); \ storedst(convertToDT(fabs(value))) #endif #elif defined OP_SCALE_ADD #undef EXTRA_PARAMS #define EXTRA_PARAMS , workT1 alpha #if wdepth <= 4 #define PROCESS_ELEM storedst(convertToDT(mad24(srcelem1, (workT)(alpha), srcelem2))) #else #define PROCESS_ELEM storedst(convertToDT(fma(srcelem1, (workT)(alpha), srcelem2))) #endif #elif defined OP_CTP_AD || defined OP_CTP_AR #if CV_DST_TYPE_FIT_32F #define CV_EPSILON FLT_EPSILON #else #define CV_EPSILON DBL_EPSILON #endif #ifdef OP_CTP_AD #define TO_DEGREE cartToPolar = degrees(cartToPolar); #elif defined OP_CTP_AR #define TO_DEGREE #endif #define PROCESS_ELEM \ dstT x = srcelem1, y = srcelem2; \ dstT x2 = x * x, y2 = y * y; \ dstT magnitude = sqrt(x2 + y2); \ dstT tmp = y >= 0 ? 0 : CV_PI * 2; \ tmp = x < 0 ? CV_PI : tmp; \ dstT tmp1 = y >= 0 ? CV_PI * 0.5f : CV_PI * 1.5f; \ dstT cartToPolar = y2 <= x2 ? x * y / mad((dstT)(0.28f), y2, x2 + CV_EPSILON) + tmp : (tmp1 - x * y / mad((dstT)(0.28f), x2, y2 + CV_EPSILON)); \ TO_DEGREE \ storedst(magnitude); \ storedst2(cartToPolar) #elif defined OP_PTC_AD || defined OP_PTC_AR #ifdef OP_PTC_AD #define FROM_DEGREE y = radians(y) #else #define FROM_DEGREE #endif #define PROCESS_ELEM \ dstT x = srcelem1, y = srcelem2, cosval; \ FROM_DEGREE; \ storedst2(sincos(y, &cosval) * x); \ storedst(cosval * x); #elif defined OP_PATCH_NANS #undef EXTRA_PARAMS #define EXTRA_PARAMS , dstT val #define PROCESS_ELEM \ if (isnan(srcelem1)) \ storedst(val) #else #error "unknown op type" #endif #if defined OP_CTP_AD || defined OP_CTP_AR || defined OP_PTC_AD || defined OP_PTC_AR #undef EXTRA_PARAMS #define EXTRA_PARAMS , __global uchar* dstptr2, int dststep2, int dstoffset2 #undef EXTRA_INDEX #define EXTRA_INDEX int dst_index2 = mad24(y0, dststep2, mad24(x, (int)sizeof(dstT_C1) * cn, dstoffset2)) #undef EXTRA_INDEX_ADD #define EXTRA_INDEX_ADD dst_index2 += dststep2 #endif #if defined UNARY_OP || defined MASK_UNARY_OP #if defined OP_AND || defined OP_OR || defined OP_XOR || defined OP_ADD || defined OP_SAT_ADD || \ defined OP_SUB || defined OP_SAT_SUB || defined OP_RSUB || defined OP_SAT_RSUB || \ defined OP_ABSDIFF || defined OP_CMP || defined OP_MIN || defined OP_MAX || defined OP_POW || \ defined OP_MUL || defined OP_DIV || defined OP_POWN || defined OP_POWR || defined OP_ROOTN #undef EXTRA_PARAMS #define EXTRA_PARAMS , workST srcelem2_ #undef srcelem2 #define srcelem2 srcelem2_ #endif #if cn == 3 #undef srcelem2 #define srcelem2 (workT)(srcelem2_.x, srcelem2_.y, srcelem2_.z) #endif #endif #if defined BINARY_OP __kernel void KF(__global const uchar * srcptr1, int srcstep1, int srcoffset1, __global const uchar * srcptr2, int srcstep2, int srcoffset2, __global uchar * dstptr, int dststep, int dstoffset, int rows, int cols EXTRA_PARAMS ) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { int src1_index = mad24(y0, srcstep1, mad24(x, (int)sizeof(srcT1_C1) * cn, srcoffset1)); #if !(defined(OP_RECIP_SCALE) || defined(OP_NOT)) int src2_index = mad24(y0, srcstep2, mad24(x, (int)sizeof(srcT2_C1) * cn, srcoffset2)); #endif int dst_index = mad24(y0, dststep, mad24(x, (int)sizeof(dstT_C1) * cn, dstoffset)); EXTRA_INDEX; for (int y = y0, y1 = min(rows, y0 + rowsPerWI); y < y1; ++y, src1_index += srcstep1, dst_index += dststep) { PROCESS_ELEM; #if !(defined(OP_RECIP_SCALE) || defined(OP_NOT)) src2_index += srcstep2; #endif EXTRA_INDEX_ADD; } } } #elif defined MASK_BINARY_OP __kernel void KF(__global const uchar * srcptr1, int srcstep1, int srcoffset1, __global const uchar * srcptr2, int srcstep2, int srcoffset2, __global const uchar * mask, int maskstep, int maskoffset, __global uchar * dstptr, int dststep, int dstoffset, int rows, int cols EXTRA_PARAMS ) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { int mask_index = mad24(y0, maskstep, x + maskoffset); int src1_index = mad24(y0, srcstep1, mad24(x, (int)sizeof(srcT1_C1) * cn, srcoffset1)); int src2_index = mad24(y0, srcstep2, mad24(x, (int)sizeof(srcT2_C1) * cn, srcoffset2)); int dst_index = mad24(y0, dststep, mad24(x, (int)sizeof(dstT_C1) * cn, dstoffset)); for (int y = y0, y1 = min(rows, y0 + rowsPerWI); y < y1; ++y, src1_index += srcstep1, src2_index += srcstep2, mask_index += maskstep, dst_index += dststep) if (mask[mask_index]) { PROCESS_ELEM; } } } #elif defined UNARY_OP __kernel void KF(__global const uchar * srcptr1, int srcstep1, int srcoffset1, __global uchar * dstptr, int dststep, int dstoffset, int rows, int cols EXTRA_PARAMS ) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { int src1_index = mad24(y0, srcstep1, mad24(x, (int)sizeof(srcT1_C1) * cn, srcoffset1)); int dst_index = mad24(y0, dststep, mad24(x, (int)sizeof(dstT_C1) * cn, dstoffset)); for (int y = y0, y1 = min(rows, y0 + rowsPerWI); y < y1; ++y, src1_index += srcstep1, dst_index += dststep) { PROCESS_ELEM; } } } #elif defined MASK_UNARY_OP __kernel void KF(__global const uchar * srcptr1, int srcstep1, int srcoffset1, __global const uchar * mask, int maskstep, int maskoffset, __global uchar * dstptr, int dststep, int dstoffset, int rows, int cols EXTRA_PARAMS ) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { int mask_index = mad24(y0, maskstep, x + maskoffset); int src1_index = mad24(y0, srcstep1, mad24(x, (int)sizeof(srcT1_C1) * cn, srcoffset1)); int dst_index = mad24(y0, dststep, mad24(x, (int)sizeof(dstT_C1) * cn, dstoffset)); for (int y = y0, y1 = min(rows, y0 + rowsPerWI); y < y1; ++y, src1_index += srcstep1, mask_index += maskstep, dst_index += dststep) if (mask[mask_index]) { PROCESS_ELEM; } } } #else #error "Unknown operation type" #endif 61e807be22793264eddbe34d6e91e620#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define noconvert __kernel void convertTo(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, #ifndef NO_SCALE WT alpha, WT beta, #endif int rowsPerWI) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < dst_cols) { int src_index = mad24(y0, src_step, mad24(x, (int)sizeof(srcT), src_offset)); int dst_index = mad24(y0, dst_step, mad24(x, (int)sizeof(dstT), dst_offset)); for (int y = y0, y1 = min(dst_rows, y0 + rowsPerWI); y < y1; ++y, src_index += src_step, dst_index += dst_step) { __global const srcT * src = (__global const srcT *)(srcptr + src_index); __global dstT * dst = (__global dstT *)(dstptr + dst_index); #ifdef NO_SCALE dst[0] = convertToDT(src[0]); #else dst[0] = convertToDT(fma(convertToWT(src[0]), alpha, beta)); #endif } } } 2e3d527cefb9468930dac19ffd9e28bdcopymakeborder#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if cn != 3 #define loadpix(addr) *(__global const T*)(addr) #define storepix(val, addr) *(__global T*)(addr) = val #define TSIZE ((int)sizeof(T)) #define convertScalar(a) (a) #else #define loadpix(addr) vload3(0, (__global const T1*)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global T1*)(addr)) #define TSIZE ((int)sizeof(T1)*3) #define convertScalar(a) (T)(a.x, a.y, a.z) #endif #ifdef BORDER_CONSTANT #define EXTRAPOLATE(x, cols) \ ; #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, cols) \ x = clamp(x, 0, cols - 1); #elif defined BORDER_WRAP #define EXTRAPOLATE(x, cols) \ { \ if (x < 0) \ x -= ((x - cols + 1) / cols) * cols; \ if (x >= cols) \ x %= cols; \ } #elif defined(BORDER_REFLECT) || defined(BORDER_REFLECT_101) #ifdef BORDER_REFLECT #define DELTA int delta = 0 #else #define DELTA int delta = 1 #endif #define EXTRAPOLATE(x, cols) \ { \ DELTA; \ if (cols == 1) \ x = 0; \ else \ do \ { \ if( x < 0 ) \ x = -x - 1 + delta; \ else \ x = cols - 1 - (x - cols) - delta; \ } \ while (x >= cols || x < 0); \ } #else #error "No extrapolation method" #endif #define NEED_EXTRAPOLATION(x, cols) (x >= cols || x < 0) __kernel void copyMakeBorder(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, int top, int left, ST nVal) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; #ifdef BORDER_CONSTANT T scalar = convertScalar(nVal); #endif if (x < dst_cols) { int src_x = x - left, src_y; int dst_index = mad24(y0, dst_step, mad24(x, (int)TSIZE, dst_offset)); if (NEED_EXTRAPOLATION(src_x, src_cols)) { #ifdef BORDER_CONSTANT for (int y = y0, y1 = min(y0 + rowsPerWI, dst_rows); y < y1; ++y, dst_index += dst_step) storepix(scalar, dstptr + dst_index); return; #endif EXTRAPOLATE(src_x, src_cols) } src_x = mad24(src_x, TSIZE, src_offset); for (int y = y0, y1 = min(y0 + rowsPerWI, dst_rows); y < y1; ++y, dst_index += dst_step) { src_y = y - top; if (NEED_EXTRAPOLATION(src_y, src_rows)) { EXTRAPOLATE(src_y, src_rows) #ifdef BORDER_CONSTANT storepix(scalar, dstptr + dst_index); continue; #endif } int src_index = mad24(src_y, src_step, src_x); storepix(loadpix(srcptr + src_index), dstptr + dst_index); } } } 64f03714b8763ec6c2ac2f4b2ad0cf5dcopyset#ifdef COPY_TO_MASK #define DEFINE_DATA \ int src_index = mad24(y, src_step, mad24(x, (int)sizeof(T1) * scn, src_offset)); \ int dst_index = mad24(y, dst_step, mad24(x, (int)sizeof(T1) * scn, dst_offset)); \ \ __global const T1 * src = (__global const T1 *)(srcptr + src_index); \ __global T1 * dst = (__global T1 *)(dstptr + dst_index) __kernel void copyToMask(__global const uchar * srcptr, int src_step, int src_offset, __global const uchar * mask, int mask_step, int mask_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { mask += mad24(y, mask_step, mad24(x, mcn, mask_offset)); #if mcn == 1 if (mask[0]) { DEFINE_DATA; #pragma unroll for (int c = 0; c < scn; ++c) dst[c] = src[c]; } #ifdef HAVE_DST_UNINIT else { DEFINE_DATA; #pragma unroll for (int c = 0; c < scn; ++c) dst[c] = (T1)(0); } #endif #elif scn == mcn DEFINE_DATA; #pragma unroll for (int c = 0; c < scn; ++c) if (mask[c]) dst[c] = src[c]; #ifdef HAVE_DST_UNINIT else dst[c] = (T1)(0); #endif #else #error "(mcn == 1 || mcn == scn) should be true" #endif } } #else #ifndef dstST #define dstST dstT #endif #if cn != 3 #define value value_ #define storedst(val) *(__global dstT *)(dstptr + dst_index) = val #else #define value (dstT)(value_.x, value_.y, value_.z) #define storedst(val) vstore3(val, 0, (__global dstT1 *)(dstptr + dst_index)) #endif __kernel void setMask(__global const uchar* mask, int maskstep, int maskoffset, __global uchar* dstptr, int dststep, int dstoffset, int rows, int cols, dstST value_) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { int mask_index = mad24(y0, maskstep, x + maskoffset); int dst_index = mad24(y0, dststep, mad24(x, (int)sizeof(dstT1) * cn, dstoffset)); for (int y = y0, y1 = min(rows, y0 + rowsPerWI); y < y1; ++y) { if( mask[mask_index] ) storedst(value); mask_index += maskstep; dst_index += dststep; } } } __kernel void set(__global uchar* dstptr, int dststep, int dstoffset, int rows, int cols, dstST value_) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { int dst_index = mad24(y0, dststep, mad24(x, (int)sizeof(dstT1) * cn, dstoffset)); for (int y = y0, y1 = min(rows, y0 + rowsPerWI); y < y1; ++y, dst_index += dststep) storedst(value); } } #endif f8f028f1776dc5c98bf03411d3b72318fft#define SQRT_2 0.707106781188f #define sin_120 0.866025403784f #define fft5_2 0.559016994374f #define fft5_3 -0.951056516295f #define fft5_4 -1.538841768587f #define fft5_5 0.363271264002f #ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif __attribute__((always_inline)) CT mul_complex(CT a, CT b) { return (CT)(fma(a.x, b.x, -a.y * b.y), fma(a.x, b.y, a.y * b.x)); } __attribute__((always_inline)) CT twiddle(CT a) { return (CT)(a.y, -a.x); } __attribute__((always_inline)) void butterfly2(CT a0, CT a1, __local CT* smem, __global const CT* twiddles, const int x, const int block_size) { const int k = x & (block_size - 1); a1 = mul_complex(twiddles[k], a1); const int dst_ind = (x << 1) - k; smem[dst_ind] = a0 + a1; smem[dst_ind+block_size] = a0 - a1; } __attribute__((always_inline)) void butterfly4(CT a0, CT a1, CT a2, CT a3, __local CT* smem, __global const CT* twiddles, const int x, const int block_size) { const int k = x & (block_size - 1); a1 = mul_complex(twiddles[k], a1); a2 = mul_complex(twiddles[k + block_size], a2); a3 = mul_complex(twiddles[k + 2*block_size], a3); const int dst_ind = ((x - k) << 2) + k; CT b0 = a0 + a2; a2 = a0 - a2; CT b1 = a1 + a3; a3 = twiddle(a1 - a3); smem[dst_ind] = b0 + b1; smem[dst_ind + block_size] = a2 + a3; smem[dst_ind + 2*block_size] = b0 - b1; smem[dst_ind + 3*block_size] = a2 - a3; } __attribute__((always_inline)) void butterfly3(CT a0, CT a1, CT a2, __local CT* smem, __global const CT* twiddles, const int x, const int block_size) { const int k = x % block_size; a1 = mul_complex(twiddles[k], a1); a2 = mul_complex(twiddles[k+block_size], a2); const int dst_ind = ((x - k) * 3) + k; CT b1 = a1 + a2; a2 = twiddle(sin_120*(a1 - a2)); CT b0 = a0 - (CT)(0.5f)*b1; smem[dst_ind] = a0 + b1; smem[dst_ind + block_size] = b0 + a2; smem[dst_ind + 2*block_size] = b0 - a2; } __attribute__((always_inline)) void butterfly5(CT a0, CT a1, CT a2, CT a3, CT a4, __local CT* smem, __global const CT* twiddles, const int x, const int block_size) { const int k = x % block_size; a1 = mul_complex(twiddles[k], a1); a2 = mul_complex(twiddles[k + block_size], a2); a3 = mul_complex(twiddles[k+2*block_size], a3); a4 = mul_complex(twiddles[k+3*block_size], a4); const int dst_ind = ((x - k) * 5) + k; __local CT* dst = smem + dst_ind; CT b0, b1, b5; b1 = a1 + a4; a1 -= a4; a4 = a3 + a2; a3 -= a2; a2 = b1 + a4; b0 = a0 - (CT)0.25f * a2; b1 = fft5_2 * (b1 - a4); a4 = fft5_3 * (CT)(-a1.y - a3.y, a1.x + a3.x); b5 = (CT)(a4.x - fft5_5 * a1.y, a4.y + fft5_5 * a1.x); a4.x += fft5_4 * a3.y; a4.y -= fft5_4 * a3.x; a1 = b0 + b1; b0 -= b1; dst[0] = a0 + a2; dst[block_size] = a1 + a4; dst[2 * block_size] = b0 + b5; dst[3 * block_size] = b0 - b5; dst[4 * block_size] = a1 - a4; } __attribute__((always_inline)) void fft_radix2(__local CT* smem, __global const CT* twiddles, const int x, const int block_size, const int t) { CT a0, a1; if (x < t) { a0 = smem[x]; a1 = smem[x+t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x < t) butterfly2(a0, a1, smem, twiddles, x, block_size); barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix2_B2(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int x2 = x1 + t/2; CT a0, a1, a2, a3; if (x1 < t/2) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x2]; a3 = smem[x2+t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/2) { butterfly2(a0, a1, smem, twiddles, x1, block_size); butterfly2(a2, a3, smem, twiddles, x2, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix2_B3(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int x2 = x1 + t/3; const int x3 = x1 + 2*t/3; CT a0, a1, a2, a3, a4, a5; if (x1 < t/3) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x2]; a3 = smem[x2+t]; a4 = smem[x3]; a5 = smem[x3+t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/3) { butterfly2(a0, a1, smem, twiddles, x1, block_size); butterfly2(a2, a3, smem, twiddles, x2, block_size); butterfly2(a4, a5, smem, twiddles, x3, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix2_B4(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int thread_block = t/4; const int x2 = x1 + thread_block; const int x3 = x1 + 2*thread_block; const int x4 = x1 + 3*thread_block; CT a0, a1, a2, a3, a4, a5, a6, a7; if (x1 < t/4) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x2]; a3 = smem[x2+t]; a4 = smem[x3]; a5 = smem[x3+t]; a6 = smem[x4]; a7 = smem[x4+t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/4) { butterfly2(a0, a1, smem, twiddles, x1, block_size); butterfly2(a2, a3, smem, twiddles, x2, block_size); butterfly2(a4, a5, smem, twiddles, x3, block_size); butterfly2(a6, a7, smem, twiddles, x4, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix2_B5(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int thread_block = t/5; const int x2 = x1 + thread_block; const int x3 = x1 + 2*thread_block; const int x4 = x1 + 3*thread_block; const int x5 = x1 + 4*thread_block; CT a0, a1, a2, a3, a4, a5, a6, a7, a8, a9; if (x1 < t/5) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x2]; a3 = smem[x2+t]; a4 = smem[x3]; a5 = smem[x3+t]; a6 = smem[x4]; a7 = smem[x4+t]; a8 = smem[x5]; a9 = smem[x5+t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/5) { butterfly2(a0, a1, smem, twiddles, x1, block_size); butterfly2(a2, a3, smem, twiddles, x2, block_size); butterfly2(a4, a5, smem, twiddles, x3, block_size); butterfly2(a6, a7, smem, twiddles, x4, block_size); butterfly2(a8, a9, smem, twiddles, x5, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix4(__local CT* smem, __global const CT* twiddles, const int x, const int block_size, const int t) { CT a0, a1, a2, a3; if (x < t) { a0 = smem[x]; a1 = smem[x+t]; a2 = smem[x+2*t]; a3 = smem[x+3*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x < t) butterfly4(a0, a1, a2, a3, smem, twiddles, x, block_size); barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix4_B2(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int x2 = x1 + t/2; CT a0, a1, a2, a3, a4, a5, a6, a7; if (x1 < t/2) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x1+2*t]; a3 = smem[x1+3*t]; a4 = smem[x2]; a5 = smem[x2+t]; a6 = smem[x2+2*t]; a7 = smem[x2+3*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/2) { butterfly4(a0, a1, a2, a3, smem, twiddles, x1, block_size); butterfly4(a4, a5, a6, a7, smem, twiddles, x2, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix4_B3(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int x2 = x1 + t/3; const int x3 = x2 + t/3; CT a0, a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11; if (x1 < t/3) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x1+2*t]; a3 = smem[x1+3*t]; a4 = smem[x2]; a5 = smem[x2+t]; a6 = smem[x2+2*t]; a7 = smem[x2+3*t]; a8 = smem[x3]; a9 = smem[x3+t]; a10 = smem[x3+2*t]; a11 = smem[x3+3*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/3) { butterfly4(a0, a1, a2, a3, smem, twiddles, x1, block_size); butterfly4(a4, a5, a6, a7, smem, twiddles, x2, block_size); butterfly4(a8, a9, a10, a11, smem, twiddles, x3, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix8(__local CT* smem, __global const CT* twiddles, const int x, const int block_size, const int t) { const int k = x % block_size; CT a0, a1, a2, a3, a4, a5, a6, a7; if (x < t) { int tw_ind = block_size / 8; a0 = smem[x]; a1 = mul_complex(twiddles[k], smem[x + t]); a2 = mul_complex(twiddles[k + block_size],smem[x+2*t]); a3 = mul_complex(twiddles[k+2*block_size],smem[x+3*t]); a4 = mul_complex(twiddles[k+3*block_size],smem[x+4*t]); a5 = mul_complex(twiddles[k+4*block_size],smem[x+5*t]); a6 = mul_complex(twiddles[k+5*block_size],smem[x+6*t]); a7 = mul_complex(twiddles[k+6*block_size],smem[x+7*t]); CT b0, b1, b6, b7; b0 = a0 + a4; a4 = a0 - a4; b1 = a1 + a5; a5 = a1 - a5; a5 = (CT)(SQRT_2) * (CT)(a5.x + a5.y, -a5.x + a5.y); b6 = twiddle(a2 - a6); a2 = a2 + a6; b7 = a3 - a7; b7 = (CT)(SQRT_2) * (CT)(-b7.x + b7.y, -b7.x - b7.y); a3 = a3 + a7; a0 = b0 + a2; a2 = b0 - a2; a1 = b1 + a3; a3 = twiddle(b1 - a3); a6 = a4 - b6; a4 = a4 + b6; a7 = twiddle(a5 - b7); a5 = a5 + b7; } barrier(CLK_LOCAL_MEM_FENCE); if (x < t) { const int dst_ind = ((x - k) << 3) + k; __local CT* dst = smem + dst_ind; dst[0] = a0 + a1; dst[block_size] = a4 + a5; dst[2 * block_size] = a2 + a3; dst[3 * block_size] = a6 + a7; dst[4 * block_size] = a0 - a1; dst[5 * block_size] = a4 - a5; dst[6 * block_size] = a2 - a3; dst[7 * block_size] = a6 - a7; } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix3(__local CT* smem, __global const CT* twiddles, const int x, const int block_size, const int t) { CT a0, a1, a2; if (x < t) { a0 = smem[x]; a1 = smem[x+t]; a2 = smem[x+2*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x < t) butterfly3(a0, a1, a2, smem, twiddles, x, block_size); barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix3_B2(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int x2 = x1 + t/2; CT a0, a1, a2, a3, a4, a5; if (x1 < t/2) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x1+2*t]; a3 = smem[x2]; a4 = smem[x2+t]; a5 = smem[x2+2*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/2) { butterfly3(a0, a1, a2, smem, twiddles, x1, block_size); butterfly3(a3, a4, a5, smem, twiddles, x2, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix3_B3(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int x2 = x1 + t/3; const int x3 = x2 + t/3; CT a0, a1, a2, a3, a4, a5, a6, a7, a8; if (x1 < t/3) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x1+2*t]; a3 = smem[x2]; a4 = smem[x2+t]; a5 = smem[x2+2*t]; a6 = smem[x3]; a7 = smem[x3+t]; a8 = smem[x3+2*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/3) { butterfly3(a0, a1, a2, smem, twiddles, x1, block_size); butterfly3(a3, a4, a5, smem, twiddles, x2, block_size); butterfly3(a6, a7, a8, smem, twiddles, x3, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix3_B4(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int thread_block = t/4; const int x2 = x1 + thread_block; const int x3 = x1 + 2*thread_block; const int x4 = x1 + 3*thread_block; CT a0, a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11; if (x1 < t/4) { a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x1+2*t]; a3 = smem[x2]; a4 = smem[x2+t]; a5 = smem[x2+2*t]; a6 = smem[x3]; a7 = smem[x3+t]; a8 = smem[x3+2*t]; a9 = smem[x4]; a10 = smem[x4+t]; a11 = smem[x4+2*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/4) { butterfly3(a0, a1, a2, smem, twiddles, x1, block_size); butterfly3(a3, a4, a5, smem, twiddles, x2, block_size); butterfly3(a6, a7, a8, smem, twiddles, x3, block_size); butterfly3(a9, a10, a11, smem, twiddles, x4, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix5(__local CT* smem, __global const CT* twiddles, const int x, const int block_size, const int t) { const int k = x % block_size; CT a0, a1, a2, a3, a4; if (x < t) { a0 = smem[x]; a1 = smem[x + t]; a2 = smem[x+2*t]; a3 = smem[x+3*t]; a4 = smem[x+4*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x < t) butterfly5(a0, a1, a2, a3, a4, smem, twiddles, x, block_size); barrier(CLK_LOCAL_MEM_FENCE); } __attribute__((always_inline)) void fft_radix5_B2(__local CT* smem, __global const CT* twiddles, const int x1, const int block_size, const int t) { const int x2 = x1+t/2; CT a0, a1, a2, a3, a4, a5, a6, a7, a8, a9; if (x1 < t/2) { a0 = smem[x1]; a1 = smem[x1 + t]; a2 = smem[x1+2*t]; a3 = smem[x1+3*t]; a4 = smem[x1+4*t]; a5 = smem[x2]; a6 = smem[x2 + t]; a7 = smem[x2+2*t]; a8 = smem[x2+3*t]; a9 = smem[x2+4*t]; } barrier(CLK_LOCAL_MEM_FENCE); if (x1 < t/2) { butterfly5(a0, a1, a2, a3, a4, smem, twiddles, x1, block_size); butterfly5(a5, a6, a7, a8, a9, smem, twiddles, x2, block_size); } barrier(CLK_LOCAL_MEM_FENCE); } #ifdef DFT_SCALE #define SCALE_VAL(x, scale) x*scale #else #define SCALE_VAL(x, scale) x #endif __kernel void fft_multi_radix_rows(__global const uchar* src_ptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar* dst_ptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global CT* twiddles_ptr, int twiddles_step, int twiddles_offset, const int t, const int nz) { const int x = get_global_id(0); const int y = get_group_id(1); const int block_size = LOCAL_SIZE/kercn; __local CT smem[LOCAL_SIZE]; if (y < nz) { __global const CT* twiddles = (__global const CT*)(twiddles_ptr + twiddles_offset); const int ind = x; #ifdef IS_1D FT scale = (FT) 1/dst_cols; #else FT scale = (FT) 1/(dst_cols*dst_rows); #endif #ifdef COMPLEX_INPUT __global const CT* src = (__global const CT*)(src_ptr + mad24(y, src_step, mad24(x, (int)(sizeof(CT)), src_offset))); #pragma unroll for (int i=0; i= cn && kercn == 4 && depth <= 4 && !defined HAVE_SCALAR srcT src1 = *(__global const srcT *)(src1ptr + src1_index); srcT src2 = *(__global const srcT *)(src2ptr + src2_index); srcT src3 = *(__global const srcT *)(src3ptr + src3_index); __global dstT * dst = (__global dstT *)(dstptr + dst_index); #if cn == 1 dst[0] = src2 > src1 || src3 < src1 ? (dstT)(0) : (dstT)(255); #elif cn == 2 dst[0] = (dstT)(src2.xy > src1.xy || src3.xy < src1.xy || src2.zw > src1.zw || src3.zw < src1.zw ? (dstT)(0) : (dstT)(255); #elif cn == 4 dst[0] = (dstT)(src2.x > src1.x || src3.x < src1.x || src2.y > src1.y || src3.y < src1.y || src2.z > src1.z || src3.z < src1.z || src2.w > src1.w || src3.w < src1.w ? 0 : 255); #endif #else __global const srcT1 * src1 = (__global const srcT1 *)(src1ptr + src1_index); __global uchar * dst = dstptr + dst_index; #ifndef HAVE_SCALAR __global const srcT1 * src2 = (__global const srcT1 *)(src2ptr + src2_index); __global const srcT1 * src3 = (__global const srcT1 *)(src3ptr + src3_index); #endif #pragma unroll for (int px = 0; px < colsPerWI; ++px, src1 += cn #ifndef HAVE_SCALAR , src2 += cn, src3 += cn #endif ) { dst[px] = 255; for (int c = 0; c < cn; ++c) if (src2[c] > src1[c] || src3[c] < src1[c]) { dst[px] = 0; break; } } #endif #ifndef HAVE_SCALAR src2_index += src2_step; src3_index += src3_step; #endif } } } e7220f9dc5b30fc5558622a452890287intel_gemm#if defined(cl_intel_subgroups) #pragma OPENCL EXTENSION cl_intel_subgroups : enable #endif #if defined(cl_intel_subgroups) #define VEC_SIZE 4 #define LWG_HEIGHT 4 #define TILE_M 8 #define TILE_K 16 #define TILE_N 32 __attribute__((reqd_work_group_size(8, LWG_HEIGHT, 1))) __kernel void intelblas_gemm_buffer_NN_sp( const __global float *src0, int off0, const __global float *src1, int off1, __global float *dst, int offd, int M, int N, int K, float alpha, float beta, int ldA, int ldB, int ldC, int start_index, int stride) { const int group_x = get_group_id(0); const int group_y = get_group_id(1); const int local_x = get_local_id(0); const int local_y = get_local_id(1); const int global_x = get_global_id(0); const int global_y = get_global_id(1); float4 brow; float2 arow0, arow1, arow2, arow3, arow4, arow5, arow6, arow7; __global float *dst_write0 = dst + local_x * VEC_SIZE + ( group_x * TILE_N ) + ( group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * ldC + offd; const __global float *src0_read = src0 + local_x * ( TILE_K / 8 ) + ( group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M ) * ldA + start_index + off0; const __global float *src1_read0 = src1 + local_x * VEC_SIZE + ( group_x * TILE_N ) + start_index * ldB + off1; float4 dot00 = (start_index != 0) ? vload4(0, dst_write0) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 )) : (float4)(0.0)); float4 dot01 = (start_index != 0) ? vload4(0, dst_write0 + 1 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 1 * ldC)) : (float4)(0.0)); float4 dot02 = (start_index != 0) ? vload4(0, dst_write0 + 2 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 2 * ldC)) : (float4)(0.0)); float4 dot03 = (start_index != 0) ? vload4(0, dst_write0 + 3 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 3 * ldC)) : (float4)(0.0)); float4 dot04 = (start_index != 0) ? vload4(0, dst_write0 + 4 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 4 * ldC)) : (float4)(0.0)); float4 dot05 = (start_index != 0) ? vload4(0, dst_write0 + 5 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 5 * ldC)) : (float4)(0.0)); float4 dot06 = (start_index != 0) ? vload4(0, dst_write0 + 6 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 6 * ldC)) : (float4)(0.0)); float4 dot07 = (start_index != 0) ? vload4(0, dst_write0 + 7 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 7 * ldC)) : (float4)(0.0)); int end_index = min(start_index + stride, K); int w = start_index; while( w + TILE_K <= end_index ) { arow0 = (float)alpha * vload2(0, src0_read + 0 * ldA); arow1 = (float)alpha * vload2(0, src0_read + 1 * ldA); arow2 = (float)alpha * vload2(0, src0_read + 2 * ldA); arow3 = (float)alpha * vload2(0, src0_read + 3 * ldA); arow4 = (float)alpha * vload2(0, src0_read + 4 * ldA); arow5 = (float)alpha * vload2(0, src0_read + 5 * ldA); arow6 = (float)alpha * vload2(0, src0_read + 6 * ldA); arow7 = (float)alpha * vload2(0, src0_read + 7 * ldA); #define MM_DOT_PRODUCT(index, suffix) \ brow = vload4(0, src1_read0); src1_read0 += ldB; \ dot00 = mad((float4)(intel_sub_group_shuffle(arow0.s##suffix,index)),brow,dot00); \ dot01 = mad((float4)(intel_sub_group_shuffle(arow1.s##suffix,index)),brow,dot01); \ dot02 = mad((float4)(intel_sub_group_shuffle(arow2.s##suffix,index)),brow,dot02); \ dot03 = mad((float4)(intel_sub_group_shuffle(arow3.s##suffix,index)),brow,dot03); \ dot04 = mad((float4)(intel_sub_group_shuffle(arow4.s##suffix,index)),brow,dot04); \ dot05 = mad((float4)(intel_sub_group_shuffle(arow5.s##suffix,index)),brow,dot05); \ dot06 = mad((float4)(intel_sub_group_shuffle(arow6.s##suffix,index)),brow,dot06); \ dot07 = mad((float4)(intel_sub_group_shuffle(arow7.s##suffix,index)),brow,dot07); MM_DOT_PRODUCT(0,0); MM_DOT_PRODUCT(0,1); MM_DOT_PRODUCT(1,0); MM_DOT_PRODUCT(1,1); MM_DOT_PRODUCT(2,0); MM_DOT_PRODUCT(2,1); MM_DOT_PRODUCT(3,0); MM_DOT_PRODUCT(3,1); MM_DOT_PRODUCT(4,0); MM_DOT_PRODUCT(4,1); MM_DOT_PRODUCT(5,0); MM_DOT_PRODUCT(5,1); MM_DOT_PRODUCT(6,0); MM_DOT_PRODUCT(6,1); MM_DOT_PRODUCT(7,0); MM_DOT_PRODUCT(7,1); #undef MM_DOT_PRODUCT src0_read += TILE_K; w += TILE_K; } vstore4(dot00, 0, dst_write0); dst_write0 += ldC; vstore4(dot01, 0, dst_write0); dst_write0 += ldC; vstore4(dot02, 0, dst_write0); dst_write0 += ldC; vstore4(dot03, 0, dst_write0); dst_write0 += ldC; vstore4(dot04, 0, dst_write0); dst_write0 += ldC; vstore4(dot05, 0, dst_write0); dst_write0 += ldC; vstore4(dot06, 0, dst_write0); dst_write0 += ldC; vstore4(dot07, 0, dst_write0); dst_write0 += ldC; } #undef VEC_SIZE #undef LWG_HEIGHT #undef TILE_M #undef TILE_K #undef TILE_N #define VEC_SIZE 4 #define LWG_HEIGHT 4 #define TILE_M 8 #define TILE_K 16 #define TILE_N 32 __attribute__((reqd_work_group_size(8, LWG_HEIGHT, 1))) __kernel void intelblas_gemm_buffer_NN( const __global float *src0, int off0, const __global float *src1, int off1, __global float *dst, int offd, int M, int N, int K, float alpha, float beta, int ldA, int ldB, int ldC, int start_index, int stride) { const int group_x = get_group_id(0); const int group_y = get_group_id(1); const int local_x = get_local_id(0); const int local_y = get_local_id(1); const int global_x = get_global_id(0); const int global_y = get_global_id(1); float4 brow; float2 arow0, arow1, arow2, arow3, arow4, arow5, arow6, arow7; __global float *dst_write0 = dst + local_x * VEC_SIZE + ( group_x * TILE_N ) + ( group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * ldC + offd; const __global float *src0_read = src0 + local_x * ( TILE_K / 8 ) + ( group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M ) * ldA + start_index + off0; const __global float *src1_read0 = src1 + local_x * VEC_SIZE + ( group_x * TILE_N ) + start_index * ldB + off1; int border = -(group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M); int row0 = mad24(global_y, TILE_M, 0) < M ? 0 : border; int row1 = mad24(global_y, TILE_M, 1) < M ? 1 : border; int row2 = mad24(global_y, TILE_M, 2) < M ? 2 : border; int row3 = mad24(global_y, TILE_M, 3) < M ? 3 : border; int row4 = mad24(global_y, TILE_M, 4) < M ? 4 : border; int row5 = mad24(global_y, TILE_M, 5) < M ? 5 : border; int row6 = mad24(global_y, TILE_M, 6) < M ? 6 : border; int row7 = mad24(global_y, TILE_M, 7) < M ? 7 : border; float4 dot00 = (start_index != 0) ? vload4(0, dst_write0) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 )) : (float4)(0.0)); float4 dot01 = (start_index != 0) ? vload4(0, dst_write0 + 1 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 1 * ldC)) : (float4)(0.0)); float4 dot02 = (start_index != 0) ? vload4(0, dst_write0 + 2 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 2 * ldC)) : (float4)(0.0)); float4 dot03 = (start_index != 0) ? vload4(0, dst_write0 + 3 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 3 * ldC)) : (float4)(0.0)); float4 dot04 = (start_index != 0) ? vload4(0, dst_write0 + 4 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 4 * ldC)) : (float4)(0.0)); float4 dot05 = (start_index != 0) ? vload4(0, dst_write0 + 5 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 5 * ldC)) : (float4)(0.0)); float4 dot06 = (start_index != 0) ? vload4(0, dst_write0 + 6 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 6 * ldC)) : (float4)(0.0)); float4 dot07 = (start_index != 0) ? vload4(0, dst_write0 + 7 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 7 * ldC)) : (float4)(0.0)); int end_index = min(start_index + stride, K); int w = start_index; while( w + TILE_K <= end_index ) { arow0 = (float)alpha * vload2(0, src0_read + row0 * ldA); arow1 = (float)alpha * vload2(0, src0_read + row1 * ldA); arow2 = (float)alpha * vload2(0, src0_read + row2 * ldA); arow3 = (float)alpha * vload2(0, src0_read + row3 * ldA); arow4 = (float)alpha * vload2(0, src0_read + row4 * ldA); arow5 = (float)alpha * vload2(0, src0_read + row5 * ldA); arow6 = (float)alpha * vload2(0, src0_read + row6 * ldA); arow7 = (float)alpha * vload2(0, src0_read + row7 * ldA); #define MM_DOT_PRODUCT(index,suffix) \ brow = vload4(0, src1_read0); src1_read0 += ldB; \ dot00 = mad((float4)(intel_sub_group_shuffle(arow0.s##suffix,index)),brow,dot00); \ dot01 = mad((float4)(intel_sub_group_shuffle(arow1.s##suffix,index)),brow,dot01); \ dot02 = mad((float4)(intel_sub_group_shuffle(arow2.s##suffix,index)),brow,dot02); \ dot03 = mad((float4)(intel_sub_group_shuffle(arow3.s##suffix,index)),brow,dot03); \ dot04 = mad((float4)(intel_sub_group_shuffle(arow4.s##suffix,index)),brow,dot04); \ dot05 = mad((float4)(intel_sub_group_shuffle(arow5.s##suffix,index)),brow,dot05); \ dot06 = mad((float4)(intel_sub_group_shuffle(arow6.s##suffix,index)),brow,dot06); \ dot07 = mad((float4)(intel_sub_group_shuffle(arow7.s##suffix,index)),brow,dot07); MM_DOT_PRODUCT(0,0); MM_DOT_PRODUCT(0,1); MM_DOT_PRODUCT(1,0); MM_DOT_PRODUCT(1,1); MM_DOT_PRODUCT(2,0); MM_DOT_PRODUCT(2,1); MM_DOT_PRODUCT(3,0); MM_DOT_PRODUCT(3,1); MM_DOT_PRODUCT(4,0); MM_DOT_PRODUCT(4,1); MM_DOT_PRODUCT(5,0); MM_DOT_PRODUCT(5,1); MM_DOT_PRODUCT(6,0); MM_DOT_PRODUCT(6,1); MM_DOT_PRODUCT(7,0); MM_DOT_PRODUCT(7,1); #undef MM_DOT_PRODUCT src0_read += TILE_K; w += TILE_K; } if(w < end_index) { arow0.x = ((w + local_x * 2) < K) ? (float)alpha * (src0_read + row0 * ldA)[0] : 0.0f; arow0.y = ((w + local_x * 2 + 1) < K) ? (float)alpha * (src0_read + row0 * ldA)[1] : 0.0f; arow1.x = ((w + local_x * 2) < K) ? (float)alpha * (src0_read + row1 * ldA)[0] : 0.0f; arow1.y = ((w + local_x * 2 + 1) < K) ? (float)alpha * (src0_read + row1 * ldA)[1] : 0.0f; arow2.x = ((w + local_x * 2) < K) ? (float)alpha * (src0_read + row2 * ldA)[0] : 0.0f; arow2.y = ((w + local_x * 2 + 1) < K) ? (float)alpha * (src0_read + row2 * ldA)[1] : 0.0f; arow3.x = ((w + local_x * 2) < K) ? (float)alpha * (src0_read + row3 * ldA)[0] : 0.0f; arow3.y = ((w + local_x * 2 + 1) < K) ? (float)alpha * (src0_read + row3 * ldA)[1] : 0.0f; arow4.x = ((w + local_x * 2) < K) ? (float)alpha * (src0_read + row4 * ldA)[0] : 0.0f; arow4.y = ((w + local_x * 2 + 1) < K) ? (float)alpha * (src0_read + row4 * ldA)[1] : 0.0f; arow5.x = ((w + local_x * 2) < K) ? (float)alpha * (src0_read + row5 * ldA)[0] : 0.0f; arow5.y = ((w + local_x * 2 + 1) < K) ? (float)alpha * (src0_read + row5 * ldA)[1] : 0.0f; arow6.x = ((w + local_x * 2) < K) ? (float)alpha * (src0_read + row6 * ldA)[0] : 0.0f; arow6.y = ((w + local_x * 2 + 1) < K) ? (float)alpha * (src0_read + row6 * ldA)[1] : 0.0f; arow7.x = ((w + local_x * 2) < K) ? (float)alpha * (src0_read + row7 * ldA)[0] : 0.0f; arow7.y = ((w + local_x * 2 + 1) < K) ? (float)alpha * (src0_read + row7 * ldA)[1] : 0.0f; #define MM_DOT_PRODUCT(index,suffix) \ brow = (w < K) ? vload4(0, src1_read0) : (float)0.0f; src1_read0 += ldB; w++; \ dot00 = mad((float4)(intel_sub_group_shuffle( arow0.s##suffix, index )),brow,dot00 ); \ dot01 = mad((float4)(intel_sub_group_shuffle( arow1.s##suffix, index )),brow,dot01 ); \ dot02 = mad((float4)(intel_sub_group_shuffle( arow2.s##suffix, index )),brow,dot02 ); \ dot03 = mad((float4)(intel_sub_group_shuffle( arow3.s##suffix, index )),brow,dot03 ); \ dot04 = mad((float4)(intel_sub_group_shuffle( arow4.s##suffix, index )),brow,dot04 ); \ dot05 = mad((float4)(intel_sub_group_shuffle( arow5.s##suffix, index )),brow,dot05 ); \ dot06 = mad((float4)(intel_sub_group_shuffle( arow6.s##suffix, index )),brow,dot06 ); \ dot07 = mad((float4)(intel_sub_group_shuffle( arow7.s##suffix, index )),brow,dot07 ); MM_DOT_PRODUCT(0,0); MM_DOT_PRODUCT(0,1); MM_DOT_PRODUCT(1,0); MM_DOT_PRODUCT(1,1); MM_DOT_PRODUCT(2,0); MM_DOT_PRODUCT(2,1); MM_DOT_PRODUCT(3,0); MM_DOT_PRODUCT(3,1); MM_DOT_PRODUCT(4,0); MM_DOT_PRODUCT(4,1); MM_DOT_PRODUCT(5,0); MM_DOT_PRODUCT(5,1); MM_DOT_PRODUCT(6,0); MM_DOT_PRODUCT(6,1); MM_DOT_PRODUCT(7,0); MM_DOT_PRODUCT(7,1); #undef MM_DOT_PRODUCT } if(global_x * 4 < N && global_y * 8 < M) { if(mad24(global_x, 4, 3) < N) { vstore4(dot00, 0, dst_write0); dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore4(dot01, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore4(dot02, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore4(dot03, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore4(dot04, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore4(dot05, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore4(dot06, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore4(dot07, 0, dst_write0); } } else if(mad24(global_x, 4, 2) < N) { vstore2(dot00.xy, 0, dst_write0); dst_write0[2] = dot00.z; dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore2(dot01.xy, 0, dst_write0); dst_write0[2] = dot01.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore2(dot02.xy, 0, dst_write0); dst_write0[2] = dot02.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore2(dot03.xy, 0, dst_write0); dst_write0[2] = dot03.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore2(dot04.xy, 0, dst_write0); dst_write0[2] = dot04.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore2(dot05.xy, 0, dst_write0); dst_write0[2] = dot05.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore2(dot06.xy, 0, dst_write0); dst_write0[2] = dot06.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore2(dot07.xy, 0, dst_write0); dst_write0[2] = dot07.z; } } else if(mad24(global_x, 4, 1) < N) { vstore2(dot00.xy, 0, dst_write0); dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore2(dot01.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore2(dot02.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore2(dot03.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore2(dot04.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore2(dot05.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore2(dot06.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore2(dot07.xy, 0, dst_write0); } } else { dst_write0[0] = dot00.x; dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { dst_write0[0] = dot01.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { dst_write0[0] = dot02.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { dst_write0[0] = dot03.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { dst_write0[0] = dot04.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { dst_write0[0] = dot05.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { dst_write0[0] = dot06.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { dst_write0[0] = dot07.x; } } } } #undef VEC_SIZE #undef LWG_HEIGHT #undef TILE_M #undef TILE_K #undef TILE_N #define VEC_SIZE 1 #define LWG_HEIGHT 16 #define TILE_M 8 #define TILE_K 32 #define TILE_N 8 #define SLM_BLOCK 512 __attribute__((reqd_work_group_size(8, LWG_HEIGHT, 1))) __kernel void intelblas_gemm_buffer_NT( const __global float *src0, int off0, const __global float *src1, int off1, __global float *dst, int offd, int M, int N, int K, float alpha, float beta, int ldA, int ldB, int ldC) { const int group_x = get_group_id(0); const int group_y = get_group_id(1); const int local_x = get_local_id(0); const int local_y = get_local_id(1); const int global_x = get_global_id(0); const int global_y = get_global_id(1); float8 dot00 = 0.f; float8 dot01 = 0.f; float8 dot02 = 0.f; float8 dot03 = 0.f; float8 dot04 = 0.f; float8 dot05 = 0.f; float8 dot06 = 0.f; float8 dot07 = 0.f; const int dst_row = (global_y * TILE_M); __global float *dst_write0 = dst + global_x + dst_row * ldC + offd; const __global float *src0_read00 = src0 + off0; const int a_row_base = global_y * TILE_M; const int a_col_base = local_x * (TILE_K / 8); const __global float *src1_read00 = src1 + off1; const int b_row_base = (group_x * TILE_N); __local float slm_brow[8 * SLM_BLOCK]; int local_index = mad24(local_y, 8, local_x) * 4; int w = 0; for (int b_tile = 0; b_tile < K; b_tile += SLM_BLOCK) { #define UPDATE_BROW(_row) \ { \ float4 brow; \ int b_row = b_row_base + _row; \ int b_col = b_tile + local_index; \ if (b_row < N && b_col <= K - 4 ) \ brow = vload4(0, src1_read00 + mad24(b_row, ldB, b_col)); \ else \ brow = (float4)0; \ vstore4(brow, 0, slm_brow + mad24(_row, SLM_BLOCK, local_index)); \ } barrier(CLK_LOCAL_MEM_FENCE); UPDATE_BROW(0); UPDATE_BROW(1); UPDATE_BROW(2); UPDATE_BROW(3); UPDATE_BROW(4); UPDATE_BROW(5); UPDATE_BROW(6); UPDATE_BROW(7); barrier(CLK_LOCAL_MEM_FENCE); #undef UPDATE_BROW for (int k_tile_offset = 0; k_tile_offset < SLM_BLOCK; k_tile_offset += TILE_K) { int a_col = a_col_base + b_tile + k_tile_offset; if (a_col > K - 4 ) break; int slm_brow_col = a_col_base + k_tile_offset; #define READ_SLM_BROW(_row) \ float4 brow##_row = vload4(0, slm_brow + mad24(_row, SLM_BLOCK, slm_brow_col)); READ_SLM_BROW(0); READ_SLM_BROW(1); READ_SLM_BROW(2); READ_SLM_BROW(3); READ_SLM_BROW(4); READ_SLM_BROW(5); READ_SLM_BROW(6); READ_SLM_BROW(7); #undef READ_SLM_BROW #define MM_DOT_PRODUCT(_row,_dot) \ { \ int a_row = a_row_base + _row; \ if (a_row < M) { \ float4 arow = vload4(0, src0_read00 + mad24(a_row, ldA, a_col)); \ _dot = mad( (float8)(arow.x), (float8)(brow0.x, brow1.x, brow2.x, brow3.x, brow4.x, brow5.x, brow6.x, brow7.x), _dot ); \ _dot = mad( (float8)(arow.y), (float8)(brow0.y, brow1.y, brow2.y, brow3.y, brow4.y, brow5.y, brow6.y, brow7.y), _dot ); \ _dot = mad( (float8)(arow.z), (float8)(brow0.z, brow1.z, brow2.z, brow3.z, brow4.z, brow5.z, brow6.z, brow7.z), _dot ); \ _dot = mad( (float8)(arow.w), (float8)(brow0.w, brow1.w, brow2.w, brow3.w, brow4.w, brow5.w, brow6.w, brow7.w), _dot ); \ } \ } MM_DOT_PRODUCT(0,dot00); MM_DOT_PRODUCT(1,dot01); MM_DOT_PRODUCT(2,dot02); MM_DOT_PRODUCT(3,dot03); MM_DOT_PRODUCT(4,dot04); MM_DOT_PRODUCT(5,dot05); MM_DOT_PRODUCT(6,dot06); MM_DOT_PRODUCT(7,dot07); #undef MM_DOT_PRODUCT } } #define REDUCE(_dot) \ _dot.s0 = intel_sub_group_shuffle(_dot.s0, 0) + intel_sub_group_shuffle(_dot.s0, 1) + intel_sub_group_shuffle(_dot.s0, 2) + intel_sub_group_shuffle(_dot.s0, 3) + \ intel_sub_group_shuffle(_dot.s0, 4) + intel_sub_group_shuffle(_dot.s0, 5) + intel_sub_group_shuffle(_dot.s0, 6) + intel_sub_group_shuffle(_dot.s0, 7); \ _dot.s1 = intel_sub_group_shuffle(_dot.s1, 0) + intel_sub_group_shuffle(_dot.s1, 1) + intel_sub_group_shuffle(_dot.s1, 2) + intel_sub_group_shuffle(_dot.s1, 3) + \ intel_sub_group_shuffle(_dot.s1, 4) + intel_sub_group_shuffle(_dot.s1, 5) + intel_sub_group_shuffle(_dot.s1, 6) + intel_sub_group_shuffle(_dot.s1, 7); \ _dot.s2 = intel_sub_group_shuffle(_dot.s2, 0) + intel_sub_group_shuffle(_dot.s2, 1) + intel_sub_group_shuffle(_dot.s2, 2) + intel_sub_group_shuffle(_dot.s2, 3) + \ intel_sub_group_shuffle(_dot.s2, 4) + intel_sub_group_shuffle(_dot.s2, 5) + intel_sub_group_shuffle(_dot.s2, 6) + intel_sub_group_shuffle(_dot.s2, 7); \ _dot.s3 = intel_sub_group_shuffle(_dot.s3, 0) + intel_sub_group_shuffle(_dot.s3, 1) + intel_sub_group_shuffle(_dot.s3, 2) + intel_sub_group_shuffle(_dot.s3, 3) + \ intel_sub_group_shuffle(_dot.s3, 4) + intel_sub_group_shuffle(_dot.s3, 5) + intel_sub_group_shuffle(_dot.s3, 6) + intel_sub_group_shuffle(_dot.s3, 7); \ _dot.s4 = intel_sub_group_shuffle(_dot.s4, 0) + intel_sub_group_shuffle(_dot.s4, 1) + intel_sub_group_shuffle(_dot.s4, 2) + intel_sub_group_shuffle(_dot.s4, 3) + \ intel_sub_group_shuffle(_dot.s4, 4) + intel_sub_group_shuffle(_dot.s4, 5) + intel_sub_group_shuffle(_dot.s4, 6) + intel_sub_group_shuffle(_dot.s4, 7); \ _dot.s5 = intel_sub_group_shuffle(_dot.s5, 0) + intel_sub_group_shuffle(_dot.s5, 1) + intel_sub_group_shuffle(_dot.s5, 2) + intel_sub_group_shuffle(_dot.s5, 3) + \ intel_sub_group_shuffle(_dot.s5, 4) + intel_sub_group_shuffle(_dot.s5, 5) + intel_sub_group_shuffle(_dot.s5, 6) + intel_sub_group_shuffle(_dot.s5, 7); \ _dot.s6 = intel_sub_group_shuffle(_dot.s6, 0) + intel_sub_group_shuffle(_dot.s6, 1) + intel_sub_group_shuffle(_dot.s6, 2) + intel_sub_group_shuffle(_dot.s6, 3) + \ intel_sub_group_shuffle(_dot.s6, 4) + intel_sub_group_shuffle(_dot.s6, 5) + intel_sub_group_shuffle(_dot.s6, 6) + intel_sub_group_shuffle(_dot.s6, 7); \ _dot.s7 = intel_sub_group_shuffle(_dot.s7, 0) + intel_sub_group_shuffle(_dot.s7, 1) + intel_sub_group_shuffle(_dot.s7, 2) + intel_sub_group_shuffle(_dot.s7, 3) + \ intel_sub_group_shuffle(_dot.s7, 4) + intel_sub_group_shuffle(_dot.s7, 5) + intel_sub_group_shuffle(_dot.s7, 6) + intel_sub_group_shuffle(_dot.s7, 7); REDUCE(dot00); REDUCE(dot01); REDUCE(dot02); REDUCE(dot03); REDUCE(dot04); REDUCE(dot05); REDUCE(dot06); REDUCE(dot07); #undef REDUCE float output = 0.0f; #define OUTPUT(_dot) \ output = (local_x == 0) ? _dot.s0 : output; \ output = (local_x == 1) ? _dot.s1 : output; \ output = (local_x == 2) ? _dot.s2 : output; \ output = (local_x == 3) ? _dot.s3 : output; \ output = (local_x == 4) ? _dot.s4 : output; \ output = (local_x == 5) ? _dot.s5 : output; \ output = (local_x == 6) ? _dot.s6 : output; \ output = (local_x == 7) ? _dot.s7 : output; \ if (beta != 0.0f) \ dst_write0[0] = mad(output, (float)alpha, ((float)beta * dst_write0[0])); \ else \ dst_write0[0] = output * (float)alpha; \ dst_write0 += ldC; if (global_x < N && dst_row < M) { { OUTPUT(dot00); } if (dst_row + 1 < M) { OUTPUT(dot01); } if (dst_row + 2 < M) { OUTPUT(dot02); } if (dst_row + 3 < M) { OUTPUT(dot03); } if (dst_row + 4 < M) { OUTPUT(dot04); } if (dst_row + 5 < M) { OUTPUT(dot05); } if (dst_row + 6 < M) { OUTPUT(dot06); } if (dst_row + 7 < M) { OUTPUT(dot07); } } #undef OUTPUT } #undef VEC_SIZE #undef LWG_HEIGHT #undef TILE_M #undef TILE_K #undef TILE_N #undef SLM_BLOCK #define VEC_SIZE 4 #define LWG_HEIGHT 4 #define TILE_M 8 #define TILE_K 16 #define TILE_N 32 __attribute__((reqd_work_group_size(8, LWG_HEIGHT, 1))) __kernel void intelblas_gemm_buffer_TN( const __global float *src0, int off0, const __global float *src1, int off1, __global float *dst, int offd, int M, int N, int K, float alpha, float beta, int ldA, int ldB, int ldC, int start_index, int stride) { const int group_x = get_group_id(0); const int group_y = get_group_id(1); const int local_x = get_local_id(0); const int local_y = get_local_id(1); const int global_x = get_global_id(0); const int global_y = get_global_id(1); float4 brow; __global float *dst_write0 = dst + local_x * VEC_SIZE + ( group_x * TILE_N ) + ( group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * ldC + offd; const __global float *src0_read = src0 + (local_x * ( TILE_K / 8 ) + start_index) * ldA + group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M + off0; const __global float *src1_read0 = src1 + local_x * VEC_SIZE + ( group_x * TILE_N ) + start_index * ldB + off1; float4 dot00 = (start_index != 0) ? vload4(0, dst_write0) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 )) : (float4)(0.0)); float4 dot01 = (start_index != 0) ? vload4(0, dst_write0 + 1 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 1 * ldC)) : (float4)(0.0)); float4 dot02 = (start_index != 0) ? vload4(0, dst_write0 + 2 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 2 * ldC)) : (float4)(0.0)); float4 dot03 = (start_index != 0) ? vload4(0, dst_write0 + 3 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 3 * ldC)) : (float4)(0.0)); float4 dot04 = (start_index != 0) ? vload4(0, dst_write0 + 4 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 4 * ldC)) : (float4)(0.0)); float4 dot05 = (start_index != 0) ? vload4(0, dst_write0 + 5 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 5 * ldC)) : (float4)(0.0)); float4 dot06 = (start_index != 0) ? vload4(0, dst_write0 + 6 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 6 * ldC)) : (float4)(0.0)); float4 dot07 = (start_index != 0) ? vload4(0, dst_write0 + 7 * ldC) : ((beta != 0.0) ? ((float)beta * vload4(0, dst_write0 + 7 * ldC)) : (float4)(0.0)); int end_index = min(start_index + stride, K); while( start_index + TILE_K <= end_index ) { float8 arow0 = (float)alpha * vload8(0, src0_read); float8 arow1 = (float)alpha * vload8(0, src0_read + ldA); #define MM_DOT_PRODUCT(_arow,index) \ brow = vload4(0, src1_read0); src1_read0 += ldB; \ dot00 = mad( (float4)(intel_sub_group_shuffle(_arow.s0, index)), brow, dot00 ); \ dot01 = mad( (float4)(intel_sub_group_shuffle(_arow.s1, index)), brow, dot01 ); \ dot02 = mad( (float4)(intel_sub_group_shuffle(_arow.s2, index)), brow, dot02 ); \ dot03 = mad( (float4)(intel_sub_group_shuffle(_arow.s3, index)), brow, dot03 ); \ dot04 = mad( (float4)(intel_sub_group_shuffle(_arow.s4, index)), brow, dot04 ); \ dot05 = mad( (float4)(intel_sub_group_shuffle(_arow.s5, index)), brow, dot05 ); \ dot06 = mad( (float4)(intel_sub_group_shuffle(_arow.s6, index)), brow, dot06 ); \ dot07 = mad( (float4)(intel_sub_group_shuffle(_arow.s7, index)), brow, dot07 ); MM_DOT_PRODUCT(arow0,0); MM_DOT_PRODUCT(arow1,0); MM_DOT_PRODUCT(arow0,1); MM_DOT_PRODUCT(arow1,1); MM_DOT_PRODUCT(arow0,2); MM_DOT_PRODUCT(arow1,2); MM_DOT_PRODUCT(arow0,3); MM_DOT_PRODUCT(arow1,3); MM_DOT_PRODUCT(arow0,4); MM_DOT_PRODUCT(arow1,4); MM_DOT_PRODUCT(arow0,5); MM_DOT_PRODUCT(arow1,5); MM_DOT_PRODUCT(arow0,6); MM_DOT_PRODUCT(arow1,6); MM_DOT_PRODUCT(arow0,7); MM_DOT_PRODUCT(arow1,7); #undef MM_DOT_PRODUCT src0_read += TILE_K * ldA; start_index += TILE_K; } if(start_index < end_index) { float8 arow0 = ((start_index + local_x * 2) < K) ? ((float)alpha * vload8(0, src0_read)) : (float)0.0f; float8 arow1 = ((start_index + local_x * 2 + 1) < K) ? ((float)alpha * vload8(0, src0_read + ldA)) : (float)0.0f; #define MM_DOT_PRODUCT(_arow,index) \ brow = (start_index < K) ? vload4(0, src1_read0) : (float)0.0f; src1_read0 += ldB; start_index++; \ dot00 = mad( (float4)(intel_sub_group_shuffle(_arow.s0, index)), brow, dot00 ); \ dot01 = mad( (float4)(intel_sub_group_shuffle(_arow.s1, index)), brow, dot01 ); \ dot02 = mad( (float4)(intel_sub_group_shuffle(_arow.s2, index)), brow, dot02 ); \ dot03 = mad( (float4)(intel_sub_group_shuffle(_arow.s3, index)), brow, dot03 ); \ dot04 = mad( (float4)(intel_sub_group_shuffle(_arow.s4, index)), brow, dot04 ); \ dot05 = mad( (float4)(intel_sub_group_shuffle(_arow.s5, index)), brow, dot05 ); \ dot06 = mad( (float4)(intel_sub_group_shuffle(_arow.s6, index)), brow, dot06 ); \ dot07 = mad( (float4)(intel_sub_group_shuffle(_arow.s7, index)), brow, dot07 ); MM_DOT_PRODUCT(arow0,0); MM_DOT_PRODUCT(arow1,0); MM_DOT_PRODUCT(arow0,1); MM_DOT_PRODUCT(arow1,1); MM_DOT_PRODUCT(arow0,2); MM_DOT_PRODUCT(arow1,2); MM_DOT_PRODUCT(arow0,3); MM_DOT_PRODUCT(arow1,3); MM_DOT_PRODUCT(arow0,4); MM_DOT_PRODUCT(arow1,4); MM_DOT_PRODUCT(arow0,5); MM_DOT_PRODUCT(arow1,5); MM_DOT_PRODUCT(arow0,6); MM_DOT_PRODUCT(arow1,6); MM_DOT_PRODUCT(arow0,7); MM_DOT_PRODUCT(arow1,7); #undef MM_DOT_PRODUCT } if(global_x * 4 < N && global_y * 8 < M) { if(mad24(global_x, 4, 3) < N) { vstore4(dot00, 0, dst_write0); dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore4(dot01, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore4(dot02, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore4(dot03, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore4(dot04, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore4(dot05, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore4(dot06, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore4(dot07, 0, dst_write0); } } else if(mad24(global_x, 4, 2) < N) { vstore2(dot00.xy, 0, dst_write0); dst_write0[2] = dot00.z; dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore2(dot01.xy, 0, dst_write0); dst_write0[2] = dot01.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore2(dot02.xy, 0, dst_write0); dst_write0[2] = dot02.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore2(dot03.xy, 0, dst_write0); dst_write0[2] = dot03.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore2(dot04.xy, 0, dst_write0); dst_write0[2] = dot04.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore2(dot05.xy, 0, dst_write0); dst_write0[2] = dot05.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore2(dot06.xy, 0, dst_write0); dst_write0[2] = dot06.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore2(dot07.xy, 0, dst_write0); dst_write0[2] = dot07.z; } } else if(mad24(global_x, 4, 1) < N) { vstore2(dot00.xy, 0, dst_write0); dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore2(dot01.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore2(dot02.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore2(dot03.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore2(dot04.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore2(dot05.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore2(dot06.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore2(dot07.xy, 0, dst_write0); } } else { dst_write0[0] = dot00.x; dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { dst_write0[0] = dot01.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { dst_write0[0] = dot02.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { dst_write0[0] = dot03.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { dst_write0[0] = dot04.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { dst_write0[0] = dot05.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { dst_write0[0] = dot06.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { dst_write0[0] = dot07.x; } } } } #undef VEC_SIZE #undef LWG_HEIGHT #undef TILE_M #undef TILE_K #undef TILE_N #define VEC_SIZE 4 #define LWG_HEIGHT 4 #define TILE_M 8 #define TILE_K 16 #define TILE_N 32 __attribute__((reqd_work_group_size(8, LWG_HEIGHT, 1))) __kernel void intelblas_gemm_buffer_TT( const __global float *src0, int off0, const __global float *src1, int off1, __global float *dst, int offd, int M, int N, int K, float alpha, float beta, int ldA, int ldB, int ldC, int start_index, int stride) { const int group_x = get_group_id(0); const int group_y = get_group_id(1); const int local_x = get_local_id(0); const int local_y = get_local_id(1); const int global_x = get_global_id(0); const int global_y = get_global_id(1); float8 dot0 = 0.f; float8 dot1 = 0.f; float8 dot2 = 0.f; float8 dot3 = 0.f; float16 brow0; float16 brow1; float16 brow2; float16 brow3; __global float *dst_write0 = dst + local_x * VEC_SIZE + ( group_x * TILE_N ) + ( group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * ldC + offd; const __global float *src0_read = src0 + (local_x * ( TILE_K / 8 ) + start_index) * ldA + group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M + off0; const __global float *src1_read0 = src1 + (local_x * VEC_SIZE + ( group_x * TILE_N )) * ldB + start_index + off1; float4 dot00 = (start_index != 0) ? vload4(0, dst_write0) : ((beta != 0.0)? ((float)beta * vload4(0, dst_write0 )) : (float4)(0.0)); float4 dot01 = (start_index != 0) ? vload4(0, dst_write0 + ldC) : ((beta != 0.0)? ((float)beta * vload4(0, dst_write0 + ldC )) : (float4)(0.0)); float4 dot02 = (start_index != 0) ? vload4(0, dst_write0 + 2 * ldC) : ((beta != 0.0)? ((float)beta * vload4(0, dst_write0 + 2 * ldC)) : (float4)(0.0)); float4 dot03 = (start_index != 0) ? vload4(0, dst_write0 + 3 * ldC) : ((beta != 0.0)? ((float)beta * vload4(0, dst_write0 + 3 * ldC)) : (float4)(0.0)); float4 dot04 = (start_index != 0) ? vload4(0, dst_write0 + 4 * ldC) : ((beta != 0.0)? ((float)beta * vload4(0, dst_write0 + 4 * ldC)) : (float4)(0.0)); float4 dot05 = (start_index != 0) ? vload4(0, dst_write0 + 5 * ldC) : ((beta != 0.0)? ((float)beta * vload4(0, dst_write0 + 5 * ldC)) : (float4)(0.0)); float4 dot06 = (start_index != 0) ? vload4(0, dst_write0 + 6 * ldC) : ((beta != 0.0)? ((float)beta * vload4(0, dst_write0 + 6 * ldC)) : (float4)(0.0)); float4 dot07 = (start_index != 0) ? vload4(0, dst_write0 + 7 * ldC) : ((beta != 0.0)? ((float)beta * vload4(0, dst_write0 + 7 * ldC)) : (float4)(0.0)); int end_index = min(start_index + stride, K); while( start_index + TILE_K <= end_index ) { brow0 = vload16(0, src1_read0); brow1 = vload16(0, src1_read0 + ldB); brow2 = vload16(0, src1_read0 + 2 * ldB); brow3 = vload16(0, src1_read0 + 3 * ldB); float8 arow0 = (float)alpha * vload8(0, src0_read); float8 arow1 = (float)alpha * vload8(0, src0_read + ldA); #define DOT_PRODUCT( _dot, _arow, index, _brow) \ _dot.s0 = mad( intel_sub_group_shuffle( _arow.s0, index ), _brow, _dot.s0 ); \ _dot.s1 = mad( intel_sub_group_shuffle( _arow.s1, index ), _brow, _dot.s1 ); \ _dot.s2 = mad( intel_sub_group_shuffle( _arow.s2, index ), _brow, _dot.s2 ); \ _dot.s3 = mad( intel_sub_group_shuffle( _arow.s3, index ), _brow, _dot.s3 ); \ _dot.s4 = mad( intel_sub_group_shuffle( _arow.s4, index ), _brow, _dot.s4 ); \ _dot.s5 = mad( intel_sub_group_shuffle( _arow.s5, index ), _brow, _dot.s5 ); \ _dot.s6 = mad( intel_sub_group_shuffle( _arow.s6, index ), _brow, _dot.s6 ); \ _dot.s7 = mad( intel_sub_group_shuffle( _arow.s7, index ), _brow, _dot.s7 ); #define MM_DOT_PRODUCT( _brow, _dot) \ DOT_PRODUCT(_dot, arow0, 0, _brow.s0); \ DOT_PRODUCT(_dot, arow1, 0, _brow.s1); \ DOT_PRODUCT(_dot, arow0, 1, _brow.s2); \ DOT_PRODUCT(_dot, arow1, 1, _brow.s3); \ DOT_PRODUCT(_dot, arow0, 2, _brow.s4); \ DOT_PRODUCT(_dot, arow1, 2, _brow.s5); \ DOT_PRODUCT(_dot, arow0, 3, _brow.s6); \ DOT_PRODUCT(_dot, arow1, 3, _brow.s7); \ DOT_PRODUCT(_dot, arow0, 4, _brow.s8); \ DOT_PRODUCT(_dot, arow1, 4, _brow.s9); \ DOT_PRODUCT(_dot, arow0, 5, _brow.sa); \ DOT_PRODUCT(_dot, arow1, 5, _brow.sb); \ DOT_PRODUCT(_dot, arow0, 6, _brow.sc); \ DOT_PRODUCT(_dot, arow1, 6, _brow.sd); \ DOT_PRODUCT(_dot, arow0, 7, _brow.se); \ DOT_PRODUCT(_dot, arow1, 7, _brow.sf); MM_DOT_PRODUCT( brow0, dot0 ); MM_DOT_PRODUCT( brow1, dot1 ); MM_DOT_PRODUCT( brow2, dot2 ); MM_DOT_PRODUCT( brow3, dot3 ); #undef MM_DOT_PRODUCT #undef DOT_PRODUCT src1_read0 += TILE_K; src0_read += TILE_K * ldA; start_index += TILE_K; } if(start_index < end_index) { brow0 = vload16(0, src1_read0); src1_read0 += ldB; brow1 = vload16(0, src1_read0); src1_read0 += ldB; brow2 = vload16(0, src1_read0); src1_read0 += ldB; brow3 = vload16(0, src1_read0); float8 arow0 = (float)alpha * vload8(0, src0_read); float8 arow1 = (float)alpha * vload8(0, src0_read + ldA); #define DOT_PRODUCT( _dot, _arow, index, _brow) \ _dot.s0 = (w < K) ? mad( intel_sub_group_shuffle( _arow.s0, index ), _brow, _dot.s0 ) : _dot.s0; \ _dot.s1 = (w < K) ? mad( intel_sub_group_shuffle( _arow.s1, index ), _brow, _dot.s1 ) : _dot.s1; \ _dot.s2 = (w < K) ? mad( intel_sub_group_shuffle( _arow.s2, index ), _brow, _dot.s2 ) : _dot.s2; \ _dot.s3 = (w < K) ? mad( intel_sub_group_shuffle( _arow.s3, index ), _brow, _dot.s3 ) : _dot.s3; \ _dot.s4 = (w < K) ? mad( intel_sub_group_shuffle( _arow.s4, index ), _brow, _dot.s4 ) : _dot.s4; \ _dot.s5 = (w < K) ? mad( intel_sub_group_shuffle( _arow.s5, index ), _brow, _dot.s5 ) : _dot.s5; \ _dot.s6 = (w < K) ? mad( intel_sub_group_shuffle( _arow.s6, index ), _brow, _dot.s6 ) : _dot.s6; \ _dot.s7 = (w++ < K) ? mad( intel_sub_group_shuffle( _arow.s7, index ), _brow, _dot.s7 ) : _dot.s7; #define MM_DOT_PRODUCT( _brow, _dot) \ DOT_PRODUCT(_dot, arow0, 0, _brow.s0); \ DOT_PRODUCT(_dot, arow1, 0, _brow.s1); \ DOT_PRODUCT(_dot, arow0, 1, _brow.s2); \ DOT_PRODUCT(_dot, arow1, 1, _brow.s3); \ DOT_PRODUCT(_dot, arow0, 2, _brow.s4); \ DOT_PRODUCT(_dot, arow1, 2, _brow.s5); \ DOT_PRODUCT(_dot, arow0, 3, _brow.s6); \ DOT_PRODUCT(_dot, arow1, 3, _brow.s7); \ DOT_PRODUCT(_dot, arow0, 4, _brow.s8); \ DOT_PRODUCT(_dot, arow1, 4, _brow.s9); \ DOT_PRODUCT(_dot, arow0, 5, _brow.sa); \ DOT_PRODUCT(_dot, arow1, 5, _brow.sb); \ DOT_PRODUCT(_dot, arow0, 6, _brow.sc); \ DOT_PRODUCT(_dot, arow1, 6, _brow.sd); \ DOT_PRODUCT(_dot, arow0, 7, _brow.se); \ DOT_PRODUCT(_dot, arow1, 7, _brow.sf); int w = start_index; MM_DOT_PRODUCT( brow0, dot0 ); w = start_index; MM_DOT_PRODUCT( brow1, dot1 ); w = start_index; MM_DOT_PRODUCT( brow2, dot2 ); w = start_index; MM_DOT_PRODUCT( brow3, dot3 ); #undef MM_DOT_PRODUCT #undef DOT_PRODUCT } dot00 += (float4)(dot0.s0, dot1.s0, dot2.s0, dot3.s0); dot01 += (float4)(dot0.s1, dot1.s1, dot2.s1, dot3.s1); dot02 += (float4)(dot0.s2, dot1.s2, dot2.s2, dot3.s2); dot03 += (float4)(dot0.s3, dot1.s3, dot2.s3, dot3.s3); dot04 += (float4)(dot0.s4, dot1.s4, dot2.s4, dot3.s4); dot05 += (float4)(dot0.s5, dot1.s5, dot2.s5, dot3.s5); dot06 += (float4)(dot0.s6, dot1.s6, dot2.s6, dot3.s6); dot07 += (float4)(dot0.s7, dot1.s7, dot2.s7, dot3.s7); if(global_x * 4 < N && global_y * 8 < M) { if(mad24(global_x, 4, 3) < N) { vstore4(dot00, 0, dst_write0); dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore4(dot01, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore4(dot02, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore4(dot03, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore4(dot04, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore4(dot05, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore4(dot06, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore4(dot07, 0, dst_write0); } } else if(mad24(global_x, 4, 2) < N) { vstore2(dot00.xy, 0, dst_write0); dst_write0[2] = dot00.z; dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore2(dot01.xy, 0, dst_write0); dst_write0[2] = dot01.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore2(dot02.xy, 0, dst_write0); dst_write0[2] = dot02.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore2(dot03.xy, 0, dst_write0); dst_write0[2] = dot03.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore2(dot04.xy, 0, dst_write0); dst_write0[2] = dot04.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore2(dot05.xy, 0, dst_write0); dst_write0[2] = dot05.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore2(dot06.xy, 0, dst_write0); dst_write0[2] = dot06.z; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore2(dot07.xy, 0, dst_write0); dst_write0[2] = dot07.z; } } else if(mad24(global_x, 4, 1) < N) { vstore2(dot00.xy, 0, dst_write0); dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { vstore2(dot01.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { vstore2(dot02.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { vstore2(dot03.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { vstore2(dot04.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { vstore2(dot05.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { vstore2(dot06.xy, 0, dst_write0); dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { vstore2(dot07.xy, 0, dst_write0); } } else { dst_write0[0] = dot00.x; dst_write0 += ldC; if(mad24(global_y, 8, 1) < M) { dst_write0[0] = dot01.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 2) < M) { dst_write0[0] = dot02.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 3) < M) { dst_write0[0] = dot03.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 4) < M) { dst_write0[0] = dot04.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 5) < M) { dst_write0[0] = dot05.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 6) < M) { dst_write0[0] = dot06.x; dst_write0 += ldC; } else return; if(mad24(global_y, 8, 7) < M) { dst_write0[0] = dot07.x; } } } } #undef VEC_SIZE #undef LWG_HEIGHT #undef TILE_M #undef TILE_K #undef TILE_N #endif 6ca287dab5507df0be8e2d9bb7eff4adlut#if lcn == 1 #if dcn == 4 #define LUT_OP \ int idx = *(__global const int *)(srcptr + src_index); \ dst = (__global dstT *)(dstptr + dst_index); \ dst[0] = lut_l[idx & 0xff]; \ dst[1] = lut_l[(idx >> 8) & 0xff]; \ dst[2] = lut_l[(idx >> 16) & 0xff]; \ dst[3] = lut_l[(idx >> 24) & 0xff]; #elif dcn == 3 #define LUT_OP \ uchar3 idx = vload3(0, srcptr + src_index); \ dst = (__global dstT *)(dstptr + dst_index); \ dst[0] = lut_l[idx.x]; \ dst[1] = lut_l[idx.y]; \ dst[2] = lut_l[idx.z]; #elif dcn == 2 #define LUT_OP \ short idx = *(__global const short *)(srcptr + src_index); \ dst = (__global dstT *)(dstptr + dst_index); \ dst[0] = lut_l[idx & 0xff]; \ dst[1] = lut_l[(idx >> 8) & 0xff]; #elif dcn == 1 #define LUT_OP \ uchar idx = (srcptr + src_index)[0]; \ dst = (__global dstT *)(dstptr + dst_index); \ dst[0] = lut_l[idx]; #else #define LUT_OP \ __global const srcT * src = (__global const srcT *)(srcptr + src_index); \ dst = (__global dstT *)(dstptr + dst_index); \ for (int cn = 0; cn < dcn; ++cn) \ dst[cn] = lut_l[src[cn]]; #endif #else #if dcn == 4 #define LUT_OP \ __global const uchar4 * src_pixel = (__global const uchar4 *)(srcptr + src_index); \ int4 idx = mad24(convert_int4(src_pixel[0]), (int4)(lcn), (int4)(0, 1, 2, 3)); \ dst = (__global dstT *)(dstptr + dst_index); \ dst[0] = lut_l[idx.x]; \ dst[1] = lut_l[idx.y]; \ dst[2] = lut_l[idx.z]; \ dst[3] = lut_l[idx.w]; #elif dcn == 3 #define LUT_OP \ uchar3 src_pixel = vload3(0, srcptr + src_index); \ int3 idx = mad24(convert_int3(src_pixel), (int3)(lcn), (int3)(0, 1, 2)); \ dst = (__global dstT *)(dstptr + dst_index); \ dst[0] = lut_l[idx.x]; \ dst[1] = lut_l[idx.y]; \ dst[2] = lut_l[idx.z]; #elif dcn == 2 #define LUT_OP \ __global const uchar2 * src_pixel = (__global const uchar2 *)(srcptr + src_index); \ int2 idx = mad24(convert_int2(src_pixel[0]), lcn, (int2)(0, 1)); \ dst = (__global dstT *)(dstptr + dst_index); \ dst[0] = lut_l[idx.x]; \ dst[1] = lut_l[idx.y]; #elif dcn == 1 #define LUT_OP \ uchar idx = (srcptr + src_index)[0]; \ dst = (__global dstT *)(dstptr + dst_index); \ dst[0] = lut_l[idx]; #else #define LUT_OP \ __global const srcT * src = (__global const srcT *)(srcptr + src_index); \ dst = (__global dstT *)(dstptr + dst_index); \ for (int cn = 0; cn < dcn; ++cn) \ dst[cn] = lut_l[mad24(src[cn], lcn, cn)]; #endif #endif __kernel void LUT(__global const uchar * srcptr, int src_step, int src_offset, __global const uchar * lutptr, int lut_step, int lut_offset, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) << 2; __local dstT lut_l[256 * lcn]; __global const dstT * lut = (__global const dstT *)(lutptr + lut_offset); for (int i = mad24((int)get_local_id(1), (int)get_local_size(0), (int)get_local_id(0)), step = get_local_size(0) * get_local_size(1); i < 256 * lcn; i += step) lut_l[i] = lut[i]; barrier(CLK_LOCAL_MEM_FENCE); if (x < cols && y < rows) { int src_index = mad24(y, src_step, mad24(x, (int)sizeof(srcT) * dcn, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, (int)sizeof(dstT) * dcn, dst_offset)); __global dstT * dst; LUT_OP; if (y < rows - 1) { src_index += src_step; dst_index += dst_step; LUT_OP; if (y < rows - 2) { src_index += src_step; dst_index += dst_step; LUT_OP; if (y < rows - 3) { src_index += src_step; dst_index += dst_step; LUT_OP; } } } } } 02217d060320fc126306ad16885be711meanstddev#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define noconvert #if cn != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define storesqpix(val, addr) *(__global sqdstT *)(addr) = val #define srcTSIZE (int)sizeof(srcT) #define dstTSIZE (int)sizeof(dstT) #define sqdstTSIZE (int)sizeof(sqdstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define storesqpix(val, addr) vstore3(val, 0, (__global sqdstT1 *)(addr)) #define srcTSIZE ((int)sizeof(srcT1)*3) #define dstTSIZE ((int)sizeof(dstT1)*3) #define sqdstTSIZE ((int)sizeof(sqdstT1)*3) #endif __kernel void meanStdDev(__global const uchar * srcptr, int src_step, int src_offset, int cols, int total, int groups, __global uchar * dstptr #ifdef HAVE_MASK , __global const uchar * mask, int mask_step, int mask_offset #endif ) { int lid = get_local_id(0); int gid = get_group_id(0); int id = get_global_id(0); __local dstT localMemSum[WGS2_ALIGNED]; __local sqdstT localMemSqSum[WGS2_ALIGNED]; #ifdef HAVE_MASK __local int localMemNonZero[WGS2_ALIGNED]; #endif dstT accSum = (dstT)(0); sqdstT accSqSum = (sqdstT)(0); #ifdef HAVE_MASK int accNonZero = 0; mask += mask_offset; #endif srcptr += src_offset; for (int grain = groups * WGS; id < total; id += grain) { #ifdef HAVE_MASK #ifdef HAVE_MASK_CONT int mask_index = id; #else int mask_index = mad24(id / cols, mask_step, id % cols); #endif if (mask[mask_index]) #endif { #ifdef HAVE_SRC_CONT int src_index = id * srcTSIZE; #else int src_index = mad24(id / cols, src_step, mul24(id % cols, srcTSIZE)); #endif srcT value = loadpix(srcptr + src_index); accSum += convertToDT(value); sqdstT dvalue = convertToSDT(value); accSqSum = fma(dvalue, dvalue, accSqSum); #ifdef HAVE_MASK ++accNonZero; #endif } } if (lid < WGS2_ALIGNED) { localMemSum[lid] = accSum; localMemSqSum[lid] = accSqSum; #ifdef HAVE_MASK localMemNonZero[lid] = accNonZero; #endif } barrier(CLK_LOCAL_MEM_FENCE); if (lid >= WGS2_ALIGNED && total >= WGS2_ALIGNED) { localMemSum[lid - WGS2_ALIGNED] += accSum; localMemSqSum[lid - WGS2_ALIGNED] += accSqSum; #ifdef HAVE_MASK localMemNonZero[lid - WGS2_ALIGNED] += accNonZero; #endif } barrier(CLK_LOCAL_MEM_FENCE); for (int lsize = WGS2_ALIGNED >> 1; lsize > 0; lsize >>= 1) { if (lid < lsize) { int lid2 = lsize + lid; localMemSum[lid] += localMemSum[lid2]; localMemSqSum[lid] += localMemSqSum[lid2]; #ifdef HAVE_MASK localMemNonZero[lid] += localMemNonZero[lid2]; #endif } barrier(CLK_LOCAL_MEM_FENCE); } if (lid == 0) { storepix(localMemSum[0], dstptr + dstTSIZE * gid); storesqpix(localMemSqSum[0], dstptr + mad24(dstTSIZE, groups, sqdstTSIZE * gid)); #ifdef HAVE_MASK *(__global int *)(dstptr + mad24(dstTSIZE + sqdstTSIZE, groups, (int)sizeof(int) * gid)) = localMemNonZero[0]; #endif } } 1284edd21da32ce135cd26c0c897bd08#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif static inline int align(int pos) { return (pos + (MINMAX_STRUCT_ALIGNMENT - 1)) & (~(MINMAX_STRUCT_ALIGNMENT - 1)); } #ifdef DEPTH_0 #define MIN_VAL 0 #define MAX_VAL UCHAR_MAX #elif defined DEPTH_1 #define MIN_VAL SCHAR_MIN #define MAX_VAL SCHAR_MAX #elif defined DEPTH_2 #define MIN_VAL 0 #define MAX_VAL USHRT_MAX #elif defined DEPTH_3 #define MIN_VAL SHRT_MIN #define MAX_VAL SHRT_MAX #elif defined DEPTH_4 #define MIN_VAL INT_MIN #define MAX_VAL INT_MAX #elif defined DEPTH_5 #define MIN_VAL (-FLT_MAX) #define MAX_VAL FLT_MAX #elif defined DEPTH_6 #define MIN_VAL (-DBL_MAX) #define MAX_VAL DBL_MAX #endif #define noconvert #define INDEX_MAX UINT_MAX #if wdepth <= 4 #define MIN_ABS(a) convertFromU(abs(a)) #define MIN_ABS2(a, b) convertFromU(abs_diff(a, b)) #define MIN(a, b) min(a, b) #define MAX(a, b) max(a, b) #else #define MIN_ABS(a) fabs(a) #define MIN_ABS2(a, b) fabs(a - b) #define MIN(a, b) fmin(a, b) #define MAX(a, b) fmax(a, b) #endif #if kercn != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define srcTSIZE (int)sizeof(srcT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define srcTSIZE ((int)sizeof(srcT1) * 3) #endif #ifndef HAVE_MASK #undef srcTSIZE #define srcTSIZE (int)sizeof(srcT1) #endif #ifdef NEED_MINVAL #ifdef NEED_MINLOC #define CALC_MIN(p, inc) \ if (minval > temp.p) \ { \ minval = temp.p; \ minloc = id + inc; \ } #else #define CALC_MIN(p, inc) \ minval = MIN(minval, temp.p); #endif #else #define CALC_MIN(p, inc) #endif #ifdef NEED_MAXVAL #ifdef NEED_MAXLOC #define CALC_MAX(p, inc) \ if (maxval < temp.p) \ { \ maxval = temp.p; \ maxloc = id + inc; \ } #else #define CALC_MAX(p, inc) \ maxval = MAX(maxval, temp.p); #endif #else #define CALC_MAX(p, inc) #endif #ifdef OP_CALC2 #define CALC_MAX2(p) \ maxval2 = MAX(maxval2, temp2.p); #else #define CALC_MAX2(p) #endif #define CALC_P(p, inc) \ CALC_MIN(p, inc) \ CALC_MAX(p, inc) \ CALC_MAX2(p) __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_offset, int cols, int total, int groupnum, __global uchar * dstptr #ifdef HAVE_MASK , __global const uchar * mask, int mask_step, int mask_offset #endif #ifdef HAVE_SRC2 , __global const uchar * src2ptr, int src2_step, int src2_offset #endif ) { int lid = get_local_id(0); int gid = get_group_id(0); int id = get_global_id(0) #ifndef HAVE_MASK * kercn; #else ; #endif srcptr += src_offset; #ifdef HAVE_MASK mask += mask_offset; #endif #ifdef HAVE_SRC2 src2ptr += src2_offset; #endif #ifdef NEED_MINVAL __local dstT1 localmem_min[WGS2_ALIGNED]; dstT1 minval = MAX_VAL; #ifdef NEED_MINLOC __local uint localmem_minloc[WGS2_ALIGNED]; uint minloc = INDEX_MAX; #endif #endif #ifdef NEED_MAXVAL dstT1 maxval = MIN_VAL; __local dstT1 localmem_max[WGS2_ALIGNED]; #ifdef NEED_MAXLOC __local uint localmem_maxloc[WGS2_ALIGNED]; uint maxloc = INDEX_MAX; #endif #endif #ifdef OP_CALC2 __local dstT1 localmem_max2[WGS2_ALIGNED]; dstT1 maxval2 = MIN_VAL; #endif int src_index; #ifdef HAVE_MASK int mask_index; #endif #ifdef HAVE_SRC2 int src2_index; #endif dstT temp; #ifdef HAVE_SRC2 dstT temp2; #endif for (int grain = groupnum * WGS #ifndef HAVE_MASK * kercn #endif ; id < total; id += grain) { #ifdef HAVE_MASK #ifdef HAVE_MASK_CONT mask_index = id; #else mask_index = mad24(id / cols, mask_step, id % cols); #endif if (mask[mask_index]) #endif { #ifdef HAVE_SRC_CONT src_index = id * srcTSIZE; #else src_index = mad24(id / cols, src_step, mul24(id % cols, srcTSIZE)); #endif temp = convertToDT(loadpix(srcptr + src_index)); #ifdef OP_ABS temp = MIN_ABS(temp); #endif #ifdef HAVE_SRC2 #ifdef HAVE_SRC2_CONT src2_index = id * srcTSIZE; #else src2_index = mad24(id / cols, src2_step, mul24(id % cols, srcTSIZE)); #endif temp2 = convertToDT(loadpix(src2ptr + src2_index)); temp = MIN_ABS2(temp, temp2); #ifdef OP_CALC2 temp2 = MIN_ABS(temp2); #endif #endif #if kercn == 1 #ifdef NEED_MINVAL #ifdef NEED_MINLOC if (minval > temp) { minval = temp; minloc = id; } #else minval = MIN(minval, temp); #endif #endif #ifdef NEED_MAXVAL #ifdef NEED_MAXLOC if (maxval < temp) { maxval = temp; maxloc = id; } #else maxval = MAX(maxval, temp); #endif #ifdef OP_CALC2 maxval2 = MAX(maxval2, temp2); #endif #endif #elif kercn >= 2 CALC_P(s0, 0) CALC_P(s1, 1) #if kercn >= 3 CALC_P(s2, 2) #if kercn >= 4 CALC_P(s3, 3) #if kercn >= 8 CALC_P(s4, 4) CALC_P(s5, 5) CALC_P(s6, 6) CALC_P(s7, 7) #if kercn == 16 CALC_P(s8, 8) CALC_P(s9, 9) CALC_P(sA, 10) CALC_P(sB, 11) CALC_P(sC, 12) CALC_P(sD, 13) CALC_P(sE, 14) CALC_P(sF, 15) #endif #endif #endif #endif #endif } } if (lid < WGS2_ALIGNED) { #ifdef NEED_MINVAL localmem_min[lid] = minval; #endif #ifdef NEED_MAXVAL localmem_max[lid] = maxval; #endif #ifdef NEED_MINLOC localmem_minloc[lid] = minloc; #endif #ifdef NEED_MAXLOC localmem_maxloc[lid] = maxloc; #endif #ifdef OP_CALC2 localmem_max2[lid] = maxval2; #endif } barrier(CLK_LOCAL_MEM_FENCE); if (lid >= WGS2_ALIGNED && total >= WGS2_ALIGNED) { int lid3 = lid - WGS2_ALIGNED; #ifdef NEED_MINVAL #ifdef NEED_MINLOC if (localmem_min[lid3] >= minval) { if (localmem_min[lid3] == minval) localmem_minloc[lid3] = min(localmem_minloc[lid3], minloc); else localmem_minloc[lid3] = minloc, localmem_min[lid3] = minval; } #else localmem_min[lid3] = MIN(localmem_min[lid3], minval); #endif #endif #ifdef NEED_MAXVAL #ifdef NEED_MAXLOC if (localmem_max[lid3] <= maxval) { if (localmem_max[lid3] == maxval) localmem_maxloc[lid3] = min(localmem_maxloc[lid3], maxloc); else localmem_maxloc[lid3] = maxloc, localmem_max[lid3] = maxval; } #else localmem_max[lid3] = MAX(localmem_max[lid3], maxval); #endif #endif #ifdef OP_CALC2 localmem_max2[lid3] = MAX(localmem_max2[lid3], maxval2); #endif } barrier(CLK_LOCAL_MEM_FENCE); for (int lsize = WGS2_ALIGNED >> 1; lsize > 0; lsize >>= 1) { if (lid < lsize) { int lid2 = lsize + lid; #ifdef NEED_MINVAL #ifdef NEED_MINLOC if (localmem_min[lid] >= localmem_min[lid2]) { if (localmem_min[lid] == localmem_min[lid2]) localmem_minloc[lid] = min(localmem_minloc[lid2], localmem_minloc[lid]); else localmem_minloc[lid] = localmem_minloc[lid2], localmem_min[lid] = localmem_min[lid2]; } #else localmem_min[lid] = MIN(localmem_min[lid], localmem_min[lid2]); #endif #endif #ifdef NEED_MAXVAL #ifdef NEED_MAXLOC if (localmem_max[lid] <= localmem_max[lid2]) { if (localmem_max[lid] == localmem_max[lid2]) localmem_maxloc[lid] = min(localmem_maxloc[lid2], localmem_maxloc[lid]); else localmem_maxloc[lid] = localmem_maxloc[lid2], localmem_max[lid] = localmem_max[lid2]; } #else localmem_max[lid] = MAX(localmem_max[lid], localmem_max[lid2]); #endif #endif #ifdef OP_CALC2 localmem_max2[lid] = MAX(localmem_max2[lid], localmem_max2[lid2]); #endif } barrier(CLK_LOCAL_MEM_FENCE); } if (lid == 0) { int pos = 0; #ifdef NEED_MINVAL *(__global dstT1 *)(dstptr + mad24(gid, (int)sizeof(dstT1), pos)) = localmem_min[0]; pos = mad24(groupnum, (int)sizeof(dstT1), pos); pos = align(pos); #endif #ifdef NEED_MAXVAL *(__global dstT1 *)(dstptr + mad24(gid, (int)sizeof(dstT1), pos)) = localmem_max[0]; pos = mad24(groupnum, (int)sizeof(dstT1), pos); pos = align(pos); #endif #ifdef NEED_MINLOC *(__global uint *)(dstptr + mad24(gid, (int)sizeof(uint), pos)) = localmem_minloc[0]; pos = mad24(groupnum, (int)sizeof(uint), pos); pos = align(pos); #endif #ifdef NEED_MAXLOC *(__global uint *)(dstptr + mad24(gid, (int)sizeof(uint), pos)) = localmem_maxloc[0]; #ifdef OP_CALC2 pos = mad24(groupnum, (int)sizeof(uint), pos); pos = align(pos); #endif #endif #ifdef OP_CALC2 *(__global dstT1 *)(dstptr + mad24(gid, (int)sizeof(dstT1), pos)) = localmem_max2[0]; #endif } } db5f17eea45ac79530d7323906118580mixchannels#define DECLARE_INPUT_MAT(i) \ __global const uchar * src##i##ptr, int src##i##_step, int src##i##_offset, #define DECLARE_OUTPUT_MAT(i) \ __global uchar * dst##i##ptr, int dst##i##_step, int dst##i##_offset, #define DECLARE_INDEX(i) \ int src##i##_index = mad24(src##i##_step, y0, mad24(x, (int)sizeof(T) * scn##i, src##i##_offset)); \ int dst##i##_index = mad24(dst##i##_step, y0, mad24(x, (int)sizeof(T) * dcn##i, dst##i##_offset)); #define PROCESS_ELEM(i) \ __global const T * src##i = (__global const T *)(src##i##ptr + src##i##_index); \ __global T * dst##i = (__global T *)(dst##i##ptr + dst##i##_index); \ dst##i[0] = src##i[0]; \ src##i##_index += src##i##_step; \ dst##i##_index += dst##i##_step; __kernel void mixChannels(DECLARE_INPUT_MAT_N DECLARE_OUTPUT_MAT_N int rows, int cols, int rowsPerWI) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { DECLARE_INDEX_N for (int y = y0, y1 = min(y0 + rowsPerWI, rows); y < y1; ++y) { PROCESS_ELEM_N } } } 26a27b81c3e2524a8eb918b3a518da0amulspectrumsinline float2 cmulf(float2 a, float2 b) { return (float2)(mad(a.x, b.x, - a.y * b.y), mad(a.x, b.y, a.y * b.x)); } inline float2 conjf(float2 a) { return (float2)(a.x, - a.y); } __kernel void mulAndScaleSpectrums(__global const uchar * src1ptr, int src1_step, int src1_offset, __global const uchar * src2ptr, int src2_step, int src2_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, int rowsPerWI) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < dst_cols) { int src1_index = mad24(y0, src1_step, mad24(x, (int)sizeof(float2), src1_offset)); int src2_index = mad24(y0, src2_step, mad24(x, (int)sizeof(float2), src2_offset)); int dst_index = mad24(y0, dst_step, mad24(x, (int)sizeof(float2), dst_offset)); for (int y = y0, y1 = min(dst_rows, y0 + rowsPerWI); y < y1; ++y, src1_index += src1_step, src2_index += src2_step, dst_index += dst_step) { float2 src0 = *(__global const float2 *)(src1ptr + src1_index); float2 src1 = *(__global const float2 *)(src2ptr + src2_index); __global float2 * dst = (__global float2 *)(dstptr + dst_index); #ifdef CONJ float2 v = cmulf(src0, conjf(src1)); #else float2 v = cmulf(src0, src1); #endif dst[0] = v; } } } 0ffb2c858f6664aa3e56efb81f025f5c#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define noconvert #if cn != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define srcTSIZE (int)sizeof(srcT) #define dstTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define srcTSIZE ((int)sizeof(srcT1)*3) #define dstTSIZE ((int)sizeof(dstT1)*3) #endif __kernel void normalizek(__global const uchar * srcptr, int src_step, int src_offset, __global const uchar * mask, int mask_step, int mask_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols #ifdef HAVE_SCALE , float scale #endif #ifdef HAVE_DELTA , float delta #endif ) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < dst_cols) { int src_index = mad24(y0, src_step, mad24(x, srcTSIZE, src_offset)); int mask_index = mad24(y0, mask_step, x + mask_offset); int dst_index = mad24(y0, dst_step, mad24(x, dstTSIZE, dst_offset)); for (int y = y0, y1 = min(y0 + rowsPerWI, dst_rows); y < y1; ++y, src_index += src_step, dst_index += dst_step, mask_index += mask_step) { if (mask[mask_index]) { workT value = convertToWT(loadpix(srcptr + src_index)); #ifdef HAVE_SCALE #ifdef HAVE_DELTA value = fma(value, (workT)(scale), (workT)(delta)); #else value *= (workT)(scale); #endif #else #ifdef HAVE_DELTA value += (workT)(delta); #endif #endif storepix(convertToDT(value), dstptr + dst_index); } } } } 05e23451b4bf16c50a0eba9d6c5c0012#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if defined OP_NORM_INF_MASK #ifdef DEPTH_0 #define MIN_VAL 0 #define MAX_VAL 255 #elif defined DEPTH_1 #define MIN_VAL -128 #define MAX_VAL 127 #elif defined DEPTH_2 #define MIN_VAL 0 #define MAX_VAL 65535 #elif defined DEPTH_3 #define MIN_VAL -32768 #define MAX_VAL 32767 #elif defined DEPTH_4 #define MIN_VAL INT_MIN #define MAX_VAL INT_MAX #elif defined DEPTH_5 #define MIN_VAL (-FLT_MAX) #define MAX_VAL FLT_MAX #elif defined DEPTH_6 #define MIN_VAL (-DBL_MAX) #define MAX_VAL DBL_MAX #endif #define dstT srcT #define dstT1 srcT1 #endif #define noconvert #ifndef kercn #define kercn 1 #endif #ifdef HAVE_MASK_CONT #define MASK_INDEX int mask_index = id + mask_offset; #else #define MASK_INDEX int mask_index = mad24(id / cols, mask_step, mask_offset + (id % cols)) #endif #if cn != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #if kercn == 1 #define srcTSIZE (int)sizeof(srcT) #else #define srcTSIZE (int)sizeof(srcT1) #endif #define dstTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define srcTSIZE ((int)sizeof(srcT1)*3) #define dstTSIZE ((int)sizeof(dstT1)*3) #endif #if ddepth <= 4 #define SUM_ABS(a) convertFromU(abs(a)) #define SUM_ABS2(a, b) convertFromU(abs_diff(a, b)) #else #define SUM_ABS(a) fabs(a) #define SUM_ABS2(a, b) fabs(a - b) #endif #ifdef HAVE_MASK #ifdef HAVE_SRC2 #define EXTRA_PARAMS , __global const uchar * mask, int mask_step, int mask_offset, __global const uchar * src2ptr, int src2_step, int src2_offset #else #define EXTRA_PARAMS , __global const uchar * mask, int mask_step, int mask_offset #endif #else #ifdef HAVE_SRC2 #define EXTRA_PARAMS , __global const uchar * src2ptr, int src2_step, int src2_offset #else #define EXTRA_PARAMS #endif #endif #if defined OP_SUM || defined OP_SUM_ABS || defined OP_SUM_SQR || defined OP_DOT #ifdef OP_DOT #if ddepth <= 4 #define FUNC(a, b, c) a = mad24(b, c, a) #else #define FUNC(a, b, c) a = mad(b, c, a) #endif #elif defined OP_SUM #define FUNC(a, b) a += b #elif defined OP_SUM_ABS #define FUNC(a, b) a += SUM_ABS(b) #elif defined OP_SUM_SQR #if ddepth <= 4 #define FUNC(a, b) a = mad24(b, b, a) #else #define FUNC(a, b) a = mad(b, b, a) #endif #endif #ifdef OP_CALC2 #define DECLARE_LOCAL_MEM \ __local dstT localmem[WGS2_ALIGNED], localmem2[WGS2_ALIGNED] #define DEFINE_ACCUMULATOR \ dstT accumulator = (dstT)(0), accumulator2 = (dstT)(0) #else #define DECLARE_LOCAL_MEM \ __local dstT localmem[WGS2_ALIGNED] #define DEFINE_ACCUMULATOR \ dstT accumulator = (dstT)(0) #endif #ifdef HAVE_SRC2 #ifdef OP_CALC2 #define PROCESS_ELEMS \ dstT temp = convertToDT(loadpix(srcptr + src_index)); \ dstT temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ temp2 = SUM_ABS(temp2); \ FUNC(accumulator2, temp2); \ FUNC(accumulator, temp) #else #define PROCESS_ELEMS \ dstT temp = convertToDT(loadpix(srcptr + src_index)); \ dstT temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ FUNC(accumulator, temp) #endif #else #define PROCESS_ELEMS \ dstT temp = convertToDT(loadpix(srcptr + src_index)); \ FUNC(accumulator, temp) #endif #ifdef HAVE_MASK #define REDUCE_GLOBAL \ MASK_INDEX; \ if (mask[mask_index]) \ { \ PROCESS_ELEMS; \ } #elif defined OP_DOT #ifdef HAVE_SRC2_CONT #define SRC2_INDEX int src2_index = mad24(id, srcTSIZE, src2_offset); #else #define SRC2_INDEX int src2_index = mad24(id / cols, src2_step, mad24(id % cols, srcTSIZE, src2_offset)) #endif #if kercn == 1 #define REDUCE_GLOBAL \ SRC2_INDEX; \ dstTK temp = convertToDT(loadpix(srcptr + src_index)), temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ FUNC(accumulator, temp, temp2) #elif kercn == 2 #define REDUCE_GLOBAL \ SRC2_INDEX; \ dstTK temp = convertToDT(loadpix(srcptr + src_index)), temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ FUNC(accumulator, temp.s0, temp2.s0); \ FUNC(accumulator, temp.s1, temp2.s1) #elif kercn == 4 #define REDUCE_GLOBAL \ SRC2_INDEX; \ dstTK temp = convertToDT(loadpix(srcptr + src_index)), temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ FUNC(accumulator, temp.s0, temp2.s0); \ FUNC(accumulator, temp.s1, temp2.s1); \ FUNC(accumulator, temp.s2, temp2.s2); \ FUNC(accumulator, temp.s3, temp2.s3) #elif kercn == 8 #define REDUCE_GLOBAL \ SRC2_INDEX; \ dstTK temp = convertToDT(loadpix(srcptr + src_index)), temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ FUNC(accumulator, temp.s0, temp2.s0); \ FUNC(accumulator, temp.s1, temp2.s1); \ FUNC(accumulator, temp.s2, temp2.s2); \ FUNC(accumulator, temp.s3, temp2.s3); \ FUNC(accumulator, temp.s4, temp2.s4); \ FUNC(accumulator, temp.s5, temp2.s5); \ FUNC(accumulator, temp.s6, temp2.s6); \ FUNC(accumulator, temp.s7, temp2.s7) #elif kercn == 16 #define REDUCE_GLOBAL \ SRC2_INDEX; \ dstTK temp = convertToDT(loadpix(srcptr + src_index)), temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ FUNC(accumulator, temp.s0, temp2.s0); \ FUNC(accumulator, temp.s1, temp2.s1); \ FUNC(accumulator, temp.s2, temp2.s2); \ FUNC(accumulator, temp.s3, temp2.s3); \ FUNC(accumulator, temp.s4, temp2.s4); \ FUNC(accumulator, temp.s5, temp2.s5); \ FUNC(accumulator, temp.s6, temp2.s6); \ FUNC(accumulator, temp.s7, temp2.s7); \ FUNC(accumulator, temp.s8, temp2.s8); \ FUNC(accumulator, temp.s9, temp2.s9); \ FUNC(accumulator, temp.sA, temp2.sA); \ FUNC(accumulator, temp.sB, temp2.sB); \ FUNC(accumulator, temp.sC, temp2.sC); \ FUNC(accumulator, temp.sD, temp2.sD); \ FUNC(accumulator, temp.sE, temp2.sE); \ FUNC(accumulator, temp.sF, temp2.sF) #endif #else #ifdef HAVE_SRC2 #ifdef OP_CALC2 #if kercn == 1 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ temp2 = SUM_ABS(temp2); \ FUNC(accumulator, temp); \ FUNC(accumulator2, temp2) #elif kercn == 2 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ temp2 = SUM_ABS(temp2); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator2, temp2.s0); \ FUNC(accumulator2, temp2.s1) #elif kercn == 4 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ temp2 = SUM_ABS(temp2); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3); \ FUNC(accumulator2, temp2.s0); \ FUNC(accumulator2, temp2.s1); \ FUNC(accumulator2, temp2.s2); \ FUNC(accumulator2, temp2.s3) #elif kercn == 8 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ temp2 = SUM_ABS(temp2); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3); \ FUNC(accumulator, temp.s4); \ FUNC(accumulator, temp.s5); \ FUNC(accumulator, temp.s6); \ FUNC(accumulator, temp.s7); \ FUNC(accumulator2, temp2.s0); \ FUNC(accumulator2, temp2.s1); \ FUNC(accumulator2, temp2.s2); \ FUNC(accumulator2, temp2.s3); \ FUNC(accumulator2, temp2.s4); \ FUNC(accumulator2, temp2.s5); \ FUNC(accumulator2, temp2.s6); \ FUNC(accumulator2, temp2.s7) #elif kercn == 16 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ temp2 = SUM_ABS(temp2); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3); \ FUNC(accumulator, temp.s4); \ FUNC(accumulator, temp.s5); \ FUNC(accumulator, temp.s6); \ FUNC(accumulator, temp.s7); \ FUNC(accumulator, temp.s8); \ FUNC(accumulator, temp.s9); \ FUNC(accumulator, temp.sA); \ FUNC(accumulator, temp.sB); \ FUNC(accumulator, temp.sC); \ FUNC(accumulator, temp.sD); \ FUNC(accumulator, temp.sE); \ FUNC(accumulator, temp.sF); \ FUNC(accumulator2, temp2.s0); \ FUNC(accumulator2, temp2.s1); \ FUNC(accumulator2, temp2.s2); \ FUNC(accumulator2, temp2.s3); \ FUNC(accumulator2, temp2.s4); \ FUNC(accumulator2, temp2.s5); \ FUNC(accumulator2, temp2.s6); \ FUNC(accumulator2, temp2.s7); \ FUNC(accumulator2, temp2.s8); \ FUNC(accumulator2, temp2.s9); \ FUNC(accumulator2, temp2.sA); \ FUNC(accumulator2, temp2.sB); \ FUNC(accumulator2, temp2.sC); \ FUNC(accumulator2, temp2.sD); \ FUNC(accumulator2, temp2.sE); \ FUNC(accumulator2, temp2.sF) #endif #else #if kercn == 1 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ FUNC(accumulator, temp) #elif kercn == 2 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1) #elif kercn == 4 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3) #elif kercn == 8 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3); \ FUNC(accumulator, temp.s4); \ FUNC(accumulator, temp.s5); \ FUNC(accumulator, temp.s6); \ FUNC(accumulator, temp.s7) #elif kercn == 16 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ dstTK temp2 = convertToDT(loadpix(src2ptr + src2_index)); \ temp = SUM_ABS2(temp, temp2); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3); \ FUNC(accumulator, temp.s4); \ FUNC(accumulator, temp.s5); \ FUNC(accumulator, temp.s6); \ FUNC(accumulator, temp.s7); \ FUNC(accumulator, temp.s8); \ FUNC(accumulator, temp.s9); \ FUNC(accumulator, temp.sA); \ FUNC(accumulator, temp.sB); \ FUNC(accumulator, temp.sC); \ FUNC(accumulator, temp.sD); \ FUNC(accumulator, temp.sE); \ FUNC(accumulator, temp.sF) #endif #endif #else #if kercn == 1 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ FUNC(accumulator, temp) #elif kercn == 2 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1) #elif kercn == 4 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3) #elif kercn == 8 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3); \ FUNC(accumulator, temp.s4); \ FUNC(accumulator, temp.s5); \ FUNC(accumulator, temp.s6); \ FUNC(accumulator, temp.s7) #elif kercn == 16 #define REDUCE_GLOBAL \ dstTK temp = convertToDT(loadpix(srcptr + src_index)); \ FUNC(accumulator, temp.s0); \ FUNC(accumulator, temp.s1); \ FUNC(accumulator, temp.s2); \ FUNC(accumulator, temp.s3); \ FUNC(accumulator, temp.s4); \ FUNC(accumulator, temp.s5); \ FUNC(accumulator, temp.s6); \ FUNC(accumulator, temp.s7); \ FUNC(accumulator, temp.s8); \ FUNC(accumulator, temp.s9); \ FUNC(accumulator, temp.sA); \ FUNC(accumulator, temp.sB); \ FUNC(accumulator, temp.sC); \ FUNC(accumulator, temp.sD); \ FUNC(accumulator, temp.sE); \ FUNC(accumulator, temp.sF) #endif #endif #endif #ifdef OP_CALC2 #define SET_LOCAL_1 \ localmem[lid] = accumulator; \ localmem2[lid] = accumulator2 #define REDUCE_LOCAL_1 \ localmem[lid - WGS2_ALIGNED] += accumulator; \ localmem2[lid - WGS2_ALIGNED] += accumulator2 #define REDUCE_LOCAL_2 \ localmem[lid] += localmem[lid2]; \ localmem2[lid] += localmem2[lid2] #define CALC_RESULT \ storepix(localmem[0], dstptr + dstTSIZE * gid); \ storepix(localmem2[0], dstptr + mad24(groupnum, dstTSIZE, dstTSIZE * gid)) #else #define SET_LOCAL_1 \ localmem[lid] = accumulator #define REDUCE_LOCAL_1 \ localmem[lid - WGS2_ALIGNED] += accumulator #define REDUCE_LOCAL_2 \ localmem[lid] += localmem[lid2] #define CALC_RESULT \ storepix(localmem[0], dstptr + dstTSIZE * gid) #endif #elif defined OP_COUNT_NON_ZERO #define dstT int #define DECLARE_LOCAL_MEM \ __local dstT localmem[WGS2_ALIGNED] #define DEFINE_ACCUMULATOR \ dstT accumulator = (dstT)(0); \ srcT1 zero = (srcT1)(0), one = (srcT1)(1) #if kercn == 1 #define REDUCE_GLOBAL \ accumulator += loadpix(srcptr + src_index) == zero ? zero : one #elif kercn == 2 #define REDUCE_GLOBAL \ srcT value = loadpix(srcptr + src_index); \ accumulator += value.s0 == zero ? zero : one; \ accumulator += value.s1 == zero ? zero : one #elif kercn == 4 #define REDUCE_GLOBAL \ srcT value = loadpix(srcptr + src_index); \ accumulator += value.s0 == zero ? zero : one; \ accumulator += value.s1 == zero ? zero : one; \ accumulator += value.s2 == zero ? zero : one; \ accumulator += value.s3 == zero ? zero : one #elif kercn == 8 #define REDUCE_GLOBAL \ srcT value = loadpix(srcptr + src_index); \ accumulator += value.s0 == zero ? zero : one; \ accumulator += value.s1 == zero ? zero : one; \ accumulator += value.s2 == zero ? zero : one; \ accumulator += value.s3 == zero ? zero : one; \ accumulator += value.s4 == zero ? zero : one; \ accumulator += value.s5 == zero ? zero : one; \ accumulator += value.s6 == zero ? zero : one; \ accumulator += value.s7 == zero ? zero : one #elif kercn == 16 #define REDUCE_GLOBAL \ srcT value = loadpix(srcptr + src_index); \ accumulator += value.s0 == zero ? zero : one; \ accumulator += value.s1 == zero ? zero : one; \ accumulator += value.s2 == zero ? zero : one; \ accumulator += value.s3 == zero ? zero : one; \ accumulator += value.s4 == zero ? zero : one; \ accumulator += value.s5 == zero ? zero : one; \ accumulator += value.s6 == zero ? zero : one; \ accumulator += value.s7 == zero ? zero : one; \ accumulator += value.s8 == zero ? zero : one; \ accumulator += value.s9 == zero ? zero : one; \ accumulator += value.sA == zero ? zero : one; \ accumulator += value.sB == zero ? zero : one; \ accumulator += value.sC == zero ? zero : one; \ accumulator += value.sD == zero ? zero : one; \ accumulator += value.sE == zero ? zero : one; \ accumulator += value.sF == zero ? zero : one #endif #define SET_LOCAL_1 \ localmem[lid] = accumulator #define REDUCE_LOCAL_1 \ localmem[lid - WGS2_ALIGNED] += accumulator #define REDUCE_LOCAL_2 \ localmem[lid] += localmem[lid2] #define CALC_RESULT \ storepix(localmem[0], dstptr + dstTSIZE * gid) #else #error "No operation" #endif #ifdef OP_DOT #undef EXTRA_PARAMS #define EXTRA_PARAMS , __global uchar * src2ptr, int src2_step, int src2_offset #endif __kernel void reduce(__global const uchar * srcptr, int src_step, int src_offset, int cols, int total, int groupnum, __global uchar * dstptr EXTRA_PARAMS) { int lid = get_local_id(0); int gid = get_group_id(0); int id = get_global_id(0) * kercn; srcptr += src_offset; #ifdef HAVE_SRC2 src2ptr += src2_offset; #endif DECLARE_LOCAL_MEM; DEFINE_ACCUMULATOR; for (int grain = groupnum * WGS * kercn; id < total; id += grain) { #ifdef HAVE_SRC_CONT int src_index = id * srcTSIZE; #else int src_index = mad24(id / cols, src_step, mul24(id % cols, srcTSIZE)); #endif #ifdef HAVE_SRC2 #ifdef HAVE_SRC2_CONT int src2_index = id * srcTSIZE; #else int src2_index = mad24(id / cols, src2_step, mul24(id % cols, srcTSIZE)); #endif #endif REDUCE_GLOBAL; } if (lid < WGS2_ALIGNED) { SET_LOCAL_1; } barrier(CLK_LOCAL_MEM_FENCE); if (lid >= WGS2_ALIGNED && total >= WGS2_ALIGNED) { REDUCE_LOCAL_1; } barrier(CLK_LOCAL_MEM_FENCE); for (int lsize = WGS2_ALIGNED >> 1; lsize > 0; lsize >>= 1) { if (lid < lsize) { int lid2 = lsize + lid; REDUCE_LOCAL_2; } barrier(CLK_LOCAL_MEM_FENCE); } if (lid == 0) { CALC_RESULT; } } 2bd554448b0b0af7e1a1ddd57a55f5a6reduce2#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if ddepth == 0 #define MIN_VAL 0 #define MAX_VAL 255 #elif ddepth == 1 #define MIN_VAL -128 #define MAX_VAL 127 #elif ddepth == 2 #define MIN_VAL 0 #define MAX_VAL 65535 #elif ddepth == 3 #define MIN_VAL -32768 #define MAX_VAL 32767 #elif ddepth == 4 #define MIN_VAL INT_MIN #define MAX_VAL INT_MAX #elif ddepth == 5 #define MIN_VAL (-FLT_MAX) #define MAX_VAL FLT_MAX #elif ddepth == 6 #define MIN_VAL (-DBL_MAX) #define MAX_VAL DBL_MAX #else #error "Unsupported depth" #endif #define noconvert #if defined OCL_CV_REDUCE_SUM || defined OCL_CV_REDUCE_AVG #define INIT_VALUE 0 #define PROCESS_ELEM(acc, value) acc += value #elif defined OCL_CV_REDUCE_MAX #define INIT_VALUE MIN_VAL #define PROCESS_ELEM(acc, value) acc = max(value, acc) #elif defined OCL_CV_REDUCE_MIN #define INIT_VALUE MAX_VAL #define PROCESS_ELEM(acc, value) acc = min(value, acc) #else #error "No operation is specified" #endif #ifdef OP_REDUCE_PRE __kernel void reduce_horz_opt(__global const uchar * srcptr, int src_step, int src_offset, int rows, int cols, __global uchar * dstptr, int dst_step, int dst_offset #ifdef OCL_CV_REDUCE_AVG , float fscale #endif ) { __local bufT lsmem[TILE_HEIGHT][BUF_COLS][cn]; int x = get_global_id(0); int y = get_global_id(1); int liy = get_local_id(1); if ((x < BUF_COLS) && (y < rows)) { int src_index = mad24(y, src_step, mad24(x, (int)sizeof(srcT) * cn, src_offset)); __global const srcT * src = (__global const srcT *)(srcptr + src_index); bufT tmp[cn]; #pragma unroll for (int c = 0; c < cn; ++c) tmp[c] = INIT_VALUE; int src_step_mul = BUF_COLS * cn; for (int idx = x; idx < cols; idx += BUF_COLS, src += src_step_mul) { #pragma unroll for (int c = 0; c < cn; ++c) { bufT value = convertToBufT(src[c]); PROCESS_ELEM(tmp[c], value); } } #pragma unroll for (int c = 0; c < cn; ++c) lsmem[liy][x][c] = tmp[c]; } barrier(CLK_LOCAL_MEM_FENCE); if ((x < BUF_COLS / 2) && (y < rows)) { #pragma unroll for (int c = 0; c < cn; ++c) { PROCESS_ELEM(lsmem[liy][x][c], lsmem[liy][x + BUF_COLS / 2][c]); } } barrier(CLK_LOCAL_MEM_FENCE); if ((x == 0) && (y < rows)) { int dst_index = mad24(y, dst_step, dst_offset); __global dstT * dst = (__global dstT *)(dstptr + dst_index); bufT tmp[cn]; #pragma unroll for (int c = 0; c < cn; ++c) tmp[c] = INIT_VALUE; #pragma unroll for (int xin = 0; xin < BUF_COLS / 2; xin ++) { #pragma unroll for (int c = 0; c < cn; ++c) { PROCESS_ELEM(tmp[c], lsmem[liy][xin][c]); } } #pragma unroll for (int c = 0; c < cn; ++c) #ifdef OCL_CV_REDUCE_AVG dst[c] = convertToDT(convertToWT(tmp[c]) * fscale); #else dst[c] = convertToDT(tmp[c]); #endif } } #else __kernel void reduce(__global const uchar * srcptr, int src_step, int src_offset, int rows, int cols, __global uchar * dstptr, int dst_step, int dst_offset #ifdef OCL_CV_REDUCE_AVG , float fscale #endif ) { #if dim == 0 int x = get_global_id(0); if (x < cols) { int src_index = mad24(x, (int)sizeof(srcT) * cn, src_offset); int dst_index = mad24(x, (int)sizeof(dstT0) * cn, dst_offset); __global dstT0 * dst = (__global dstT0 *)(dstptr + dst_index); dstT tmp[cn]; #pragma unroll for (int c = 0; c < cn; ++c) tmp[c] = INIT_VALUE; for (int y = 0; y < rows; ++y, src_index += src_step) { __global const srcT * src = (__global const srcT *)(srcptr + src_index); #pragma unroll for (int c = 0; c < cn; ++c) { dstT value = convertToDT(src[c]); PROCESS_ELEM(tmp[c], value); } } #pragma unroll for (int c = 0; c < cn; ++c) #ifdef OCL_CV_REDUCE_AVG dst[c] = convertToDT0(convertToWT(tmp[c]) * fscale); #else dst[c] = convertToDT0(tmp[c]); #endif } #elif dim == 1 int y = get_global_id(0); if (y < rows) { int src_index = mad24(y, src_step, src_offset); int dst_index = mad24(y, dst_step, dst_offset); __global const srcT * src = (__global const srcT *)(srcptr + src_index); __global dstT * dst = (__global dstT *)(dstptr + dst_index); dstT tmp[cn]; #pragma unroll for (int c = 0; c < cn; ++c) tmp[c] = INIT_VALUE; for (int x = 0; x < cols; ++x, src += cn) { #pragma unroll for (int c = 0; c < cn; ++c) { dstT value = convertToDT(src[c]); PROCESS_ELEM(tmp[c], value); } } #pragma unroll for (int c = 0; c < cn; ++c) #ifdef OCL_CV_REDUCE_AVG dst[c] = convertToDT0(convertToWT(tmp[c]) * fscale); #else dst[c] = convertToDT0(tmp[c]); #endif } #else #error "Dims must be either 0 or 1" #endif } #endif 675811294a4da68880f2ace25764d371set_identity#if kercn != 3 #define storepix(val, addr) *(__global T *)(addr) = val #define TSIZE (int)sizeof(T) #define scalar scalar_ #else #define storepix(val, addr) vstore3(val, 0, (__global T1 *)(addr)) #define TSIZE ((int)sizeof(T1)*3) #define scalar (T)(scalar_.x, scalar_.y, scalar_.z) #endif __kernel void setIdentity(__global uchar * srcptr, int src_step, int src_offset, int rows, int cols, ST scalar_) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { int src_index = mad24(y0, src_step, mad24(x, TSIZE, src_offset)); #if kercn == cn #pragma unroll for (int y = y0, i = 0, y1 = min(rows, y0 + rowsPerWI); i < rowsPerWI; ++y, ++i, src_index += src_step) if (y < y1) storepix(x == y ? scalar : (T)(0), srcptr + src_index); #elif kercn == 4 && cn == 1 if (y0 < rows) { storepix(x == y0 >> 2 ? (T)(scalar, 0, 0, 0) : (T)(0), srcptr + src_index); if (++y0 < rows) { src_index += src_step; storepix(x == y0 >> 2 ? (T)(0, scalar, 0, 0) : (T)(0), srcptr + src_index); if (++y0 < rows) { src_index += src_step; storepix(x == y0 >> 2 ? (T)(0, 0, scalar, 0) : (T)(0), srcptr + src_index); if (++y0 < rows) { src_index += src_step; storepix(x == y0 >> 2 ? (T)(0, 0, 0, scalar) : (T)(0), srcptr + src_index); } } } } #else #error "Incorrect combination of cn && kercn" #endif } } 75020e8c1da6cf8aece6bd5cc5b9ed4fsplit_merge#ifdef OP_MERGE #define DECLARE_SRC_PARAM(index) __global const uchar * src##index##ptr, int src##index##_step, int src##index##_offset, #define DECLARE_INDEX(index) int src##index##_index = mad24(src##index##_step, y0, mad24(x, (int)sizeof(T) * scn##index, src##index##_offset)); #define PROCESS_ELEM(index) \ __global const T * src##index = (__global const T *)(src##index##ptr + src##index##_index); \ dst[index] = src##index[0]; \ src##index##_index += src##index##_step; __kernel void merge(DECLARE_SRC_PARAMS_N __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols, int rowsPerWI) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { DECLARE_INDEX_N int dst_index = mad24(dst_step, y0, mad24(x, (int)sizeof(T) * cn, dst_offset)); for (int y = y0, y1 = min(rows, y0 + rowsPerWI); y < y1; ++y, dst_index += dst_step) { __global T * dst = (__global T *)(dstptr + dst_index); PROCESS_ELEMS_N } } } #elif defined OP_SPLIT #define DECLARE_DST_PARAM(index) , __global uchar * dst##index##ptr, int dst##index##_step, int dst##index##_offset #define DECLARE_INDEX(index) int dst##index##_index = mad24(y0, dst##index##_step, mad24(x, (int)sizeof(T), dst##index##_offset)); #define PROCESS_ELEM(index) \ __global T * dst##index = (__global T *)(dst##index##ptr + dst##index##_index); \ dst##index[0] = src[index]; \ dst##index##_index += dst##index##_step; __kernel void split(__global uchar* srcptr, int src_step, int src_offset, int rows, int cols DECLARE_DST_PARAMS, int rowsPerWI) { int x = get_global_id(0); int y0 = get_global_id(1) * rowsPerWI; if (x < cols) { DECLARE_INDEX_N int src_index = mad24(y0, src_step, mad24(x, cn * (int)sizeof(T), src_offset)); for (int y = y0, y1 = min(rows, y0 + rowsPerWI); y < y1; ++y, src_index += src_step) { __global const T * src = (__global const T *)(srcptr + src_index); PROCESS_ELEMS_N } } } #else #error "No operation" #endif 11e06966b3c2f2081fd02cf70337b495#if cn != 3 #define loadpix(addr) *(__global const T *)(addr) #define storepix(val, addr) *(__global T *)(addr) = val #define TSIZE (int)sizeof(T) #else #define loadpix(addr) vload3(0, (__global const T1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global T1 *)(addr)) #define TSIZE ((int)sizeof(T1)*3) #endif #ifndef INPLACE #define LDS_STEP (TILE_DIM + 1) __kernel void transpose(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset) { int gp_x = get_group_id(0), gp_y = get_group_id(1); int gs_x = get_num_groups(0), gs_y = get_num_groups(1); int groupId_x, groupId_y; if (src_rows == src_cols) { groupId_y = gp_x; groupId_x = (gp_x + gp_y) % gs_x; } else { int bid = mad24(gs_x, gp_y, gp_x); groupId_y = bid % gs_y; groupId_x = ((bid / gs_y) + groupId_y) % gs_x; } int lx = get_local_id(0); int ly = get_local_id(1); int x = mad24(groupId_x, TILE_DIM, lx); int y = mad24(groupId_y, TILE_DIM, ly); int x_index = mad24(groupId_y, TILE_DIM, lx); int y_index = mad24(groupId_x, TILE_DIM, ly); __local T tile[TILE_DIM * LDS_STEP]; if (x < src_cols && y < src_rows) { int index_src = mad24(y, src_step, mad24(x, TSIZE, src_offset)); #pragma unroll for (int i = 0; i < TILE_DIM; i += BLOCK_ROWS) if (y + i < src_rows) { tile[mad24(ly + i, LDS_STEP, lx)] = loadpix(srcptr + index_src); index_src = mad24(BLOCK_ROWS, src_step, index_src); } } barrier(CLK_LOCAL_MEM_FENCE); if (x_index < src_rows && y_index < src_cols) { int index_dst = mad24(y_index, dst_step, mad24(x_index, TSIZE, dst_offset)); #pragma unroll for (int i = 0; i < TILE_DIM; i += BLOCK_ROWS) if ((y_index + i) < src_cols) { storepix(tile[mad24(lx, LDS_STEP, ly + i)], dstptr + index_dst); index_dst = mad24(BLOCK_ROWS, dst_step, index_dst); } } } #else __kernel void transpose_inplace(__global uchar * srcptr, int src_step, int src_offset, int src_rows) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < y + rowsPerWI) { int src_index = mad24(y, src_step, mad24(x, TSIZE, src_offset)); int dst_index = mad24(x, src_step, mad24(y, TSIZE, src_offset)); T tmp; #pragma unroll for (int i = 0; i < rowsPerWI; ++i, ++y, src_index += src_step, dst_index += TSIZE) if (y < src_rows && x < y) { __global uchar * src = srcptr + src_index; __global uchar * dst = srcptr + dst_index; tmp = loadpix(dst); storepix(loadpix(src), dst); storepix(tmp, src); } } } #endif f938bc7c686ae7bca004809df19ef032void cv::hal::opt_SSE4_1::add8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::add8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_SSE4_1::add16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_SSE4_1::add16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_SSE4_1::add32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_SSE4_1::add32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_SSE4_1::add64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_SSE4_1::sub8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::sub8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_SSE4_1::sub16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_SSE4_1::sub16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_SSE4_1::sub32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_SSE4_1::sub32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_SSE4_1::sub64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_SSE4_1::min8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::min8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_SSE4_1::min16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_SSE4_1::min16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_SSE4_1::min32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_SSE4_1::min32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_SSE4_1::min64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_SSE4_1::max8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::max8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_SSE4_1::max16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_SSE4_1::max16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_SSE4_1::max32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_SSE4_1::max32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_SSE4_1::max64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_SSE4_1::absdiff8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::absdiff8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_SSE4_1::absdiff16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_SSE4_1::absdiff16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_SSE4_1::absdiff32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_SSE4_1::absdiff32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_SSE4_1::absdiff64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_SSE4_1::or8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::xor8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::and8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::not8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::cmp8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::cmp8s(const schar *, size_t, const schar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::cmp16u(const ushort *, size_t, const ushort *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::cmp16s(const short *, size_t, const short *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::cmp32s(const int *, size_t, const int *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::cmp32f(const float *, size_t, const float *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::cmp64f(const double *, size_t, const double *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::mul8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::mul8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::mul16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::mul16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::mul32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::mul32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::mul64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::div8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::div8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::div16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::div16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::div32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::div32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::div64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::addWeighted8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::addWeighted8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::addWeighted16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::addWeighted16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::addWeighted32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::addWeighted32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::addWeighted64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::recip8u(const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::recip8s(const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::recip16u(const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::recip16s(const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::recip32s(const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::recip32f(const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::opt_SSE4_1::recip64f(const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::opt_AVX::fastAtan32f(const float *, const float *, float *, int, bool)void cv::hal::opt_AVX::fastAtan64f(const double *, const double *, double *, int, bool)void cv::hal::opt_AVX::magnitude32f(const float *, const float *, float *, int)void cv::hal::opt_AVX::magnitude64f(const double *, const double *, double *, int)void cv::hal::opt_AVX::invSqrt32f(const float *, float *, int)void cv::hal::opt_AVX::invSqrt64f(const double *, double *, int)void cv::hal::opt_AVX::sqrt32f(const float *, float *, int)void cv::hal::opt_AVX::sqrt64f(const double *, double *, int)void cv::hal::opt_AVX::exp32f(const float *, float *, int)void cv::hal::opt_AVX::exp64f(const double *, double *, int)void cv::hal::opt_AVX::log32f(const float *, float *, int)void cv::hal::opt_AVX::log64f(const double *, double *, int)void cv::hal::opt_AVX2::fastAtan32f(const float *, const float *, float *, int, bool)void cv::hal::opt_AVX2::fastAtan64f(const double *, const double *, double *, int, bool)void cv::hal::opt_AVX2::magnitude32f(const float *, const float *, float *, int)void cv::hal::opt_AVX2::magnitude64f(const double *, const double *, double *, int)void cv::hal::opt_AVX2::invSqrt32f(const float *, float *, int)void cv::hal::opt_AVX2::invSqrt64f(const double *, double *, int)void cv::hal::opt_AVX2::sqrt32f(const float *, float *, int)void cv::hal::opt_AVX2::sqrt64f(const double *, double *, int)void cv::hal::opt_AVX2::exp32f(const float *, float *, int)void cv::hal::opt_AVX2::exp64f(const double *, double *, int)void cv::hal::opt_AVX2::log32f(const float *, float *, int)void cv::hal::opt_AVX2::log64f(const double *, double *, int)void cv::hal::opt_AVX2::add8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::add8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_AVX2::add16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_AVX2::add16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_AVX2::add32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_AVX2::add32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_AVX2::add64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_AVX2::sub8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::sub8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_AVX2::sub16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_AVX2::sub16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_AVX2::sub32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_AVX2::sub32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_AVX2::sub64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_AVX2::min8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::min8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_AVX2::min16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_AVX2::min16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_AVX2::min32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_AVX2::min32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_AVX2::min64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_AVX2::max8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::max8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_AVX2::max16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_AVX2::max16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_AVX2::max32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_AVX2::max32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_AVX2::max64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_AVX2::absdiff8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::absdiff8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int)void cv::hal::opt_AVX2::absdiff16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int)void cv::hal::opt_AVX2::absdiff16s(const short *, size_t, const short *, size_t, short *, size_t, int, int)void cv::hal::opt_AVX2::absdiff32s(const int *, size_t, const int *, size_t, int *, size_t, int, int)void cv::hal::opt_AVX2::absdiff32f(const float *, size_t, const float *, size_t, float *, size_t, int, int)void cv::hal::opt_AVX2::absdiff64f(const double *, size_t, const double *, size_t, double *, size_t, int, int)void cv::hal::opt_AVX2::or8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::xor8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::and8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::not8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::cmp8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::cmp8s(const schar *, size_t, const schar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::cmp16u(const ushort *, size_t, const ushort *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::cmp16s(const short *, size_t, const short *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::cmp32s(const int *, size_t, const int *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::cmp32f(const float *, size_t, const float *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::cmp64f(const double *, size_t, const double *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::mul8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::opt_AVX2::mul8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::opt_AVX2::mul16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::opt_AVX2::mul16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::opt_AVX2::mul32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::opt_AVX2::mul32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::opt_AVX2::mul64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::opt_AVX2::div8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::opt_AVX2::div8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::opt_AVX2::div16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::opt_AVX2::div16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::opt_AVX2::div32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::opt_AVX2::div32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::opt_AVX2::div64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::opt_AVX2::addWeighted8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::opt_AVX2::addWeighted8s(const schar *, size_t, const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::opt_AVX2::addWeighted16u(const ushort *, size_t, const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::opt_AVX2::addWeighted16s(const short *, size_t, const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::opt_AVX2::addWeighted32s(const int *, size_t, const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::opt_AVX2::addWeighted32f(const float *, size_t, const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::opt_AVX2::addWeighted64f(const double *, size_t, const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::opt_AVX2::recip8u(const uchar *, size_t, uchar *, size_t, int, int, const double *)void cv::hal::opt_AVX2::recip8s(const schar *, size_t, schar *, size_t, int, int, const double *)void cv::hal::opt_AVX2::recip16u(const ushort *, size_t, ushort *, size_t, int, int, const double *)void cv::hal::opt_AVX2::recip16s(const short *, size_t, short *, size_t, int, int, const double *)void cv::hal::opt_AVX2::recip32s(const int *, size_t, int *, size_t, int, int, const double *)void cv::hal::opt_AVX2::recip32f(const float *, size_t, float *, size_t, int, int, const double *)void cv::hal::opt_AVX2::recip64f(const double *, size_t, double *, size_t, int, int, const double *)void cv::hal::opt_AVX2::cvt16f32f(const cv::float16_t *, float *, int)void cv::hal::opt_AVX2::cvt32f16f(const float *, cv::float16_t *, int)void cv::hal::opt_AVX2::addRNGBias32f(float *, const float *, int)void cv::hal::opt_AVX2::addRNGBias64f(double *, const double *, int)void cv::opt_AVX2::cvt8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8s8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16u8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16s8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32s8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32f8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt64f8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16f8u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8u8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16u8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16s8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32s8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt64f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16f8s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8u16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32s16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32f16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt64f16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16f16u(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8u16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8s16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16u16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32s16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32f16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt64f16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16f16s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8u32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8s32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16u32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16s32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32f32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt64f32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16f32s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8u32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8s32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16u32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16s32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32s32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt64f32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16f32f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8u64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8s64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16u64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16s64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32s64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32f64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt64s(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16f64f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8u16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt8s16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16u16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt16s16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32s16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt32f16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)void cv::opt_AVX2::cvt64f16f(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, cv::Size, void *)cv::SumSqrFunc cv::opt_AVX2::getSumSqrFunc(int)int cv::opt_AVX2::sqsum8u(const uchar *, const uchar *, int *, int *, int, int)int cv::opt_AVX2::sqsum8s(const schar *, const uchar *, int *, int *, int, int)int cv::opt_AVX2::sqsum16u(const ushort *, const uchar *, int *, double *, int, int)int cv::opt_AVX2::sqsum16s(const short *, const uchar *, int *, double *, int, int)int cv::opt_AVX2::sqsum32s(const int *, const uchar *, double *, double *, int, int)int cv::opt_AVX2::sqsum32f(const float *, const uchar *, double *, double *, int, int)int cv::opt_AVX2::sqsum64f(const double *, const uchar *, double *, double *, int, int)void cv::hal::opt_AVX2::merge8u(const uchar **, uchar *, int, int)void cv::hal::opt_AVX2::merge16u(const ushort **, ushort *, int, int)void cv::hal::opt_AVX2::merge32s(const int **, int *, int, int)void cv::hal::opt_AVX2::merge64s(const int64 **, int64 *, int, int)void cv::hal::opt_AVX2::split8u(const uchar *, uchar **, int, int)void cv::hal::opt_AVX2::split16u(const ushort *, ushort **, int, int)void cv::hal::opt_AVX2::split32s(const int *, int **, int, int)void cv::hal::opt_AVX2::split64s(const int64 *, int64 **, int, int)int cv::opt_AVX2::sum8u(const uchar *, const uchar *, int *, int, int)int cv::opt_AVX2::sum8s(const schar *, const uchar *, int *, int, int)int cv::opt_AVX2::sum16u(const ushort *, const uchar *, int *, int, int)int cv::opt_AVX2::sum16s(const short *, const uchar *, int *, int, int)int cv::opt_AVX2::sum32s(const int *, const uchar *, double *, int, int)int cv::opt_AVX2::sum32f(const float *, const uchar *, double *, int, int)int cv::opt_AVX2::sum64f(const double *, const uchar *, double *, int, int)void cv::accumulate(cv::InputArray, cv::InputOutputArray, cv::InputArray)/Users/runner/work/opencv/opencv/modules/imgproc/src/accum.cpp_src.sameSize(_dst) && dcn == scnaccumulate_mask.empty() || (_src.sameSize(_mask) && _mask.type() == CV_8U)void cv::accumulateSquare(cv::InputArray, cv::InputOutputArray, cv::InputArray)accumulateSquarevoid cv::accumulateProduct(cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::InputArray)_src1.sameSize(_src2) && stype == _src2.type()accumulateProduct_src1.sameSize(_dst) && dcn == scn_mask.empty() || (_src1.sameSize(_mask) && _mask.type() == CV_8U)void cv::accumulateWeighted(cv::InputArray, cv::InputOutputArray, double, cv::InputArray)accumulateWeightedop_type == ACCUMULATE || op_type == ACCUMULATE_SQUARE || op_type == ACCUMULATE_PRODUCT || op_type == ACCUMULATE_WEIGHTEDocl_accumulateACCUMULATEACCUMULATE_SQUAREACCUMULATE_PRODUCTACCUMULATE_WEIGHTED-D %s%s -D srcT1=%s -D cn=%d -D dstT1=%s%s -D rowsPerWI=%d -D convertToDT=%sCV_IS_SEQ_CHAIN_CONTOUR( chain )icvApproximateChainTC89/Users/runner/work/opencv/opencv/modules/imgproc/src/approx.cppheader_size >= (int)sizeof(CvContour)0 <= sk.f && sk.f <= 2.2cvApproxChainsprev_contour != 0void cv::approxPolyDP(cv::InputArray, cv::OutputArray, double, bool)Epsilon not valid.approxPolyDPnpoints >= 0 && (depth == CV_32S || depth == CV_32F)Unsupported sequence typecvApproxPolyNULL storage pointer header_size is negative. Pass 0 to make the destination header_size == input header_sizeInput curves are not polygonal. Use cvApproxChains firstInput curves have unknown typeNew header size must be non-less than sizeof(CvContour)Unknown approximation methodAccuracy must be non-negativeCV_SEQ_ELTYPE(src_seq) == CV_32SC2 || CV_SEQ_ELTYPE(src_seq) == CV_32FC2dx != 0 || dy != 0approxPolyDP_void cv::cpu_baseline::bilateralFilterInvoker_8u(cv::Mat &, const cv::Mat &, int, int, int *, float *, float *)/Users/runner/work/opencv/opencv/modules/imgproc/src/bilateral_filter.simd.hppvoid cv::cpu_baseline::bilateralFilterInvoker_32f(int, int, int, int *, const cv::Mat &, cv::Mat &, float, float *, float *)void cv::bilateralFilter(cv::InputArray, cv::OutputArray, int, double, double, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/bilateral_filter.dispatch.cppbilateralFilterBilateral filtering is only implemented for 8u and 32f imagesvirtual void cv::cpu_baseline::(anonymous namespace)::BilateralFilter_8u_Invoker::operator()(const cv::Range &) constvirtual void cv::cpu_baseline::(anonymous namespace)::BilateralFilter_32f_Invoker::operator()(const cv::Range &) constbool cv::ocl_bilateralFilter_8u(cv::InputArray, cv::OutputArray, int, double, double, int)bilateralbilateral_float4-D radius=%d -D maxk=%d -D cn=%d -D int_t=%s -D uint_t=uint%s -D convert_int_t=%s -D uchar_t=%s -D float_t=%s -D convert_float_t=%s -D convert_uchar_t=%s -D gauss_color_coeff=(float)%fvoid cv::bilateralFilter_8u(const cv::Mat &, cv::Mat &, int, double, double, int)(src.type() == CV_8UC1 || src.type() == CV_8UC3) && src.data != dst.databilateralFilter_8uvoid cv::bilateralFilter_32f(const cv::Mat &, cv::Mat &, int, double, double, int)(src.type() == CV_32FC1 || src.type() == CV_32FC3) && src.data != dst.databilateralFilter_32fvoid cv::blendLinear(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray, cv::OutputArray)/Users/runner/work/opencv/opencv/modules/imgproc/src/blend.cppdepth == CV_8U || depth == CV_32FblendLinearsize == _src2.size() && size == _weights1.size() && size == _weights2.size()type == _src2.type() && _weights1.type() == CV_32FC1 && _weights2.type() == CV_32FC1-D T=%s -D cn=%d -D convertToT=%sPtr cv::cpu_baseline::getRowSumFilter(int, int, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/box_filter.simd.hppCV_MAT_CN(sumType) == CV_MAT_CN(srcType)getRowSumFilterUnsupported combination of source format (=%d), and buffer format (=%d)Ptr cv::cpu_baseline::getColumnSumFilter(int, int, int, int, double)CV_MAT_CN(sumType) == CV_MAT_CN(dstType)getColumnSumFilterUnsupported combination of sum format (=%d), and destination format (=%d)Ptr cv::cpu_baseline::createBoxFilter(int, int, cv::Size, cv::Point, bool, int)getSqrRowSumFilter/Users/runner/work/opencv/opencv/modules/imgproc/src/box_filter.dispatch.cppPtr cv::getColumnSumFilter(int, int, int, int, double)Ptr cv::createBoxFilter(int, int, cv::Size, cv::Point, bool, int)void cv::boxFilter(cv::InputArray, cv::OutputArray, int, cv::Size, cv::Point, bool, int)boxFiltervoid cv::blur(cv::InputArray, cv::OutputArray, cv::Size, cv::Point, int)void cv::sqrBoxFilter(cv::InputArray, cv::OutputArray, int, cv::Size, cv::Point, bool, int)sqrBoxFilter-D %s %s-D NORMALIZEboxFilter3x3_8UC1_cols16_rows2-D cn=%d -D ANCHOR_X=%d -D ANCHOR_Y=%d -D KERNEL_SIZE_X=%d -D KERNEL_SIZE_Y=%d -D PX_LOAD_VEC_SIZE=%d -D PX_LOAD_NUM_PX=%d -D PX_PER_WI_X=%d -D PX_PER_WI_Y=%d -D PRIV_DATA_WIDTH=%d -D %s -D %s -D PX_LOAD_X_ITERATIONS=%d -D PX_LOAD_Y_ITERATIONS=%d -D srcT=%s -D srcT1=%s -D dstT=%s -D dstT1=%s -D WT=%s -D WT1=%s -D convertToWT=%s -D convertToDstT=%s%s%s -D PX_LOAD_FLOAT_VEC_CONV=convert_%s -D OP_BOX_FILTERBORDER_ISOLATEDNO_BORDER_ISOLATED -D NORMALIZE -D SQRfilterSmall-D LOCAL_SIZE_X=%d -D BLOCK_SIZE_Y=%d -D ST=%s -D DT=%s -D WT=%s -D convertToDT=%s -D convertToWT=%s -D ANCHOR_X=%d -D ANCHOR_Y=%d -D KERNEL_SIZE_X=%d -D KERNEL_SIZE_Y=%d -D %s%s%s%s%s -D ST1=%s -D DT1=%s -D cn=%d -D BORDER_ISOLATEDPtr cv::getSqrRowSumFilter(int, int, int, int)virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = int]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = unsigned short]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = int]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = int]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = int, ST = int]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = float, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = double, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)sumCount == ksize-1virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = unsigned char]virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = unsigned short]virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = short]virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = float]virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = int, T = double]virtual void cv::cpu_baseline::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = double]virtual void cv::cpu_baseline::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = int]virtual void cv::cpu_baseline::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = float, ST = double]virtual void cv::cpu_baseline::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = double, ST = double]void cv::Canny(cv::InputArray, cv::OutputArray, double, double, int, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/canny.cpp_src.depth() == CV_8UCanny(_dst.getObj() != _src.getObj() || _src.type() == CV_8UC1) && "Inplace parameters are not supported"Aperture size should be odd between 3 and 7global_hysteresisfinalPassvoid cv::Canny(cv::InputArray, cv::InputArray, cv::OutputArray, double, double, bool)_dx.type() == CV_16SC1 || _dx.type() == CV_16SC3_dy.type() == _dx.type()_dx.sameSize(_dy)src.size == dst.size && src.depth() == CV_8U && dst.type() == CV_8UcvCannyvirtual void cv::parallelCanny::operator()(const cv::Range &) constgradienthysteresisstage1_with_sobel-D WITH_SOBEL -D cn=%d -D TYPE=%s -D convert_floatN=%s -D floatN=%s -D GRP_SIZEX=%d -D GRP_SIZEY=%d%s -D L2GRADstage1_without_sobel-D WITHOUT_SOBEL -D cn=%d -D GRP_SIZEX=%d -D GRP_SIZEY=%d%sstage2_hysteresis-D STAGE2 -D PIX_PER_WI=%d -D LOCAL_X=%d -D LOCAL_Y=%dgetEdges-D GET_EDGES -D PIX_PER_WI=%dvirtual void (anonymous namespace)::CLAHE_Impl::apply(cv::InputArray, cv::OutputArray)/Users/runner/work/opencv/opencv/modules/imgproc/src/clahe.cpp_src.type() == CV_8UC1 || _src.type() == CV_16UC1calcLutUnknown/unsupported color conversion codecvtColorTwoPlane/Users/runner/work/opencv/opencv/modules/imgproc/src/color.cppvoid cv::cvtColor(cv::InputArray, cv::OutputArray, int, int)cvtColorsrc.depth() == dst.depth()cvCvtColorvoid cv::hal::cpu_baseline::cvtBGRtoHSV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/color_hsv.simd.hppvoid cv::hal::cpu_baseline::cvtHSVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)void cv::hal::cvtBGRtoHSV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/color_hsv.dispatch.cppvoid cv::hal::cvtHSVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)-D dcn=%d -D bidx=%d -D hrange=%d -D hscale=%ff-D hscale=%ff -D bidx=%d -D dcn=3-D hrange=%d -D bidx=%d -D dcn=3hrange == 180 || hrange == 256RGB2HSV_bvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2HSV_b]/Users/runner/work/opencv/opencv/modules/imgproc/src/color.simd_helpers.hppvoid cv::hal::cpu_baseline::(anonymous namespace)::RGB2HSV_b::operator()(const uchar *, uchar *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2HSV_f]void cv::hal::cpu_baseline::(anonymous namespace)::RGB2HSV_f::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2HLS_b]void cv::hal::cpu_baseline::(anonymous namespace)::RGB2HLS_b::operator()(const uchar *, uchar *, int) constvoid cv::hal::cpu_baseline::(anonymous namespace)::RGB2HLS_f::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2HLS_f]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::HSV2RGB_b]void cv::hal::cpu_baseline::(anonymous namespace)::HSV2RGB_b::operator()(const uchar *, uchar *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::HSV2RGB_f]void cv::hal::cpu_baseline::(anonymous namespace)::HSV2RGB_f::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::HLS2RGB_b]void cv::hal::cpu_baseline::(anonymous namespace)::HLS2RGB_b::operator()(const uchar *, uchar *, int) constvoid cv::hal::cpu_baseline::(anonymous namespace)::HLS2RGB_f::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::HLS2RGB_f]cv::OclHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 5, -1>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 5, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]/Users/runner/work/opencv/opencv/modules/imgproc/src/color.hppInvalid number of channels in input imagescnVScn::contains(scn)Invalid number of channels in output imagedcnVDcn::contains(dcn)Unsupported depth of input imagedepthVDepth::contains(depth)-D depth=%d -D scn=%d -D PIX_PER_WI_Y=%d cv::OclHelper, cv::impl::(anonymous namespace)::Set<3, -1, -1>, cv::impl::(anonymous namespace)::Set<0, 5, -1>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 5, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]CvtHelpercv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, -1, -1>, cv::impl::(anonymous namespace)::Set<0, 5, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 5, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 5, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 5, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]void cv::hal::cvtBGRtoXYZ(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/color_lab.cppvoid cv::hal::cvtXYZtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool)void cv::hal::cvtBGRtoLab(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)void cv::hal::cvtLabtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)-D dcn=3 -D bidx=%d%s -D SRGBc0 >= 0 && c1 >= 0 && c2 >= 0 && c0 + c1 + c2 < softfloat(3)/softfloat(2)oclCvtColorBGR2Luvcoeffs[i*3] >= 0 && coeffs[i*3+1] >= 0 && coeffs[i*3+2] >= 0 && coeffs[i*3] + coeffs[i*3+1] + coeffs[i*3+2] < 2*(1 << lab_shift)oclCvtColorBGR2Labc0 >= 0 && c1 >= 0 && c2 >= 0 && c0 + c1 + c2 < softfloat((int)LAB_CBRT_TAB_SIZE)-D dcn=%d -D bidx=%d%s-D dcn=3 -D bidx=%d-D dcn=%d -D bidx=%dRGB2Lab_bc[0] >= 0 && c[1] >= 0 && c[2] >= 0 && c[0] + c[1] + c[2] < softfloat((int)LAB_CBRT_TAB_SIZE)RGB2Lab_fcoeffs[i*3] >= 0 && coeffs[i*3+1] >= 0 && coeffs[i*3+2] >= 0 && softfloat(coeffs[i*3]) + softfloat(coeffs[i*3+1]) + softfloat(coeffs[i*3+2]) < softfloat(1.5f)RGB2LuvfloatwhitePt[1] == softdouble::one()Luv2RGBfloatvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::RGB2XYZ_i]void cv::RGB2XYZ_i::operator()(const uchar *, uchar *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::RGB2XYZ_i]void cv::RGB2XYZ_i::operator()(const ushort *, ushort *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::RGB2XYZ_f]void cv::RGB2XYZ_f::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::XYZ2RGB_i]void cv::XYZ2RGB_i::operator()(const uchar *, uchar *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::XYZ2RGB_i]void cv::XYZ2RGB_i::operator()(const ushort *, ushort *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::XYZ2RGB_f]void cv::XYZ2RGB_f::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::RGB2Lab_b]void cv::RGB2Lab_b::operator()(const uchar *, uchar *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::RGB2Lab_f]void cv::RGB2Lab_f::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::RGB2Luv_b]void cv::RGB2Luv_b::operator()(const uchar *, uchar *, int) constvoid cv::RGB2Luvinterpolate::operator()(const uchar *, uchar *, int) constvoid cv::RGB2Luvfloat::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::RGB2Luv_f]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::Lab2RGB_b]void cv::Lab2RGB_b::operator()(const uchar *, uchar *, int) constvoid cv::Lab2RGBinteger::operator()(const uchar *, uchar *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::Lab2RGB_f]void cv::Lab2RGBfloat::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::Luv2RGB_b]void cv::Luv2RGB_b::operator()(const uchar *, uchar *, int) constvoid cv::Luv2RGBinteger::operator()(const uchar *, uchar *, int) constvoid cv::Luv2RGBfloat::operator()(const float *, float *, int) constvirtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::Luv2RGB_f]cv::OclHelper, cv::impl::(anonymous namespace)::Set<3, -1, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::OclHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, -1, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]void cv::hal::cpu_baseline::cvtBGRtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, int, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/color_rgb.simd.hppvoid cv::hal::cpu_baseline::cvtBGRtoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cpu_baseline::cvtBGR5x5toBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cpu_baseline::cvtBGRtoGray(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool)void cv::hal::cpu_baseline::cvtGraytoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int)void cv::hal::cpu_baseline::cvtBGR5x5toGray(const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::cvtGraytoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::cpu_baseline::cvtRGBAtoMultipliedRGBA(const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cpu_baseline::cvtMultipliedRGBAtoRGBA(const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cvtBGRtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, int, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/color_rgb.dispatch.cppvoid cv::hal::cvtBGRtoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cvtBGR5x5toBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cvtBGRtoGray(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool)void cv::hal::cvtGraytoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int)void cv::hal::cvtBGR5x5toGray(const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::cvtGraytoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::cvtRGBAtoMultipliedRGBA(const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::cvtMultipliedRGBAtoRGBA(const uchar *, size_t, uchar *, size_t, int, int)-D dcn=%d -D bidx=0 -D %sREVERSEORDER-D dcn=2 -D bidx=%d -D greenbits=%d-D dcn=%d -D bidx=%d -D greenbits=%d-D dcn=1 -D bidx=0 -D greenbits=%d-D dcn=2 -D bidx=0 -D greenbits=%dRGB2Gray-D dcn=1 -D bidx=%d -D STRIPE_SIZE=%d-D bidx=0 -D dcn=%d-D dcn=4 -D bidx=3coeffs[0] + coeffs[1] + coeffs[2] == (1 << shift)srccn == 3 || srccn == 4RGB2RGBdstcn == 3 || dstcn == 4virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2RGB]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2RGB]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2RGB]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2RGB5x5]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB5x52RGB]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2Gray]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2Gray]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2Gray]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::Gray2RGB]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::Gray2RGB]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::Gray2RGB]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB5x52Gray]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::Gray2RGB5x5]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGBA2mRGBA]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::mRGBA2RGBA]cv::OclHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::OclHelper, cv::impl::(anonymous namespace)::Set<2, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::OclHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::OclHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::OclHelper, cv::impl::(anonymous namespace)::Set<2, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::OclHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::OclHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::OclHelper, cv::impl::(anonymous namespace)::Set<4, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<4, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<4, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<2, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, 2, 5>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, 2, 5>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<2, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<2, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<4, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::NONE>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<4, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<4, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::NONE]void cv::hal::cpu_baseline::cvtBGRtoYUV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/color_yuv.simd.hppvoid cv::hal::cpu_baseline::cvtYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool)void cv::hal::cpu_baseline::cvtTwoPlaneYUVtoBGR(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)cvtTwoPlaneYUVtoBGRvoid cv::hal::cpu_baseline::cvtThreePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)cvtThreePlaneYUVtoBGRvoid cv::hal::cpu_baseline::cvtBGRtoThreePlaneYUV(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cpu_baseline::cvtBGRtoTwoPlaneYUV(const uchar *, size_t, uchar *, uchar *, size_t, int, int, int, bool, int)void cv::hal::cpu_baseline::cvtOnePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int, int)cvtOnePlaneYUVtoBGRvoid cv::hal::cvtBGRtoYUV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/color_yuv.dispatch.cppvoid cv::hal::cvtYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool)void cv::hal::cvtTwoPlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cvtTwoPlaneYUVtoBGR(const uchar *, const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cvtTwoPlaneYUVtoBGR(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cvtThreePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cvtBGRtoThreePlaneYUV(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::cvtBGRtoTwoPlaneYUV(const uchar *, size_t, uchar *, uchar *, size_t, int, int, int, bool, int)void cv::hal::cvtOnePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int, int)-D dcn=%d -D bidx=%d -D uidx=%d -D yidx=%d%s -D USE_OPTIMIZED_LOAD-D dcn=%d -D bidx=%d -D uidx=%dYUV2RGB_YV12_IYUV-D dcn=%d -D bidx=%d -D uidx=%d%s -D SRC_CONTRGB2YUV_YV12_IYUV-D dcn=1 -D bidx=%d -D uidx=%d_src.channels() == 2 && _src.depth() == CV_8UcvtColorYUV2Gray_chdcn == 3 || dcn == 4cvtColorTwoPlaneYUV2BGRpairysz.width == uvs.width * 2 && ysz.height == uvs.height * 2virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2YCrCb_i]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2YCrCb_i]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::RGB2YCrCb_f]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::YCrCb2RGB_i]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::YCrCb2RGB_i]virtual void cv::impl::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::cpu_baseline::(anonymous namespace)::YCrCb2RGB_f]cv::OclHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::FROM_YUV>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::FROM_YUV]sz.width % 2 == 0 && sz.height % 3 == 0OclHelpercv::OclHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::FROM_YUV>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::FROM_YUV]cv::OclHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::TO_YUV>::OclHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::TO_YUV]sz.width % 2 == 0 && sz.height % 2 == 0-D PIX_PER_WI_X=%d cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::TO_YUV>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::TO_YUV]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<1, -1, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::FROM_YUV>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::FROM_YUV]cv::impl::(anonymous namespace)::CvtHelper, cv::impl::(anonymous namespace)::Set<3, 4, -1>, cv::impl::(anonymous namespace)::Set<0, -1, -1>, cv::impl::(anonymous namespace)::FROM_YUV>::CvtHelper(cv::InputArray, cv::OutputArray, int) [VScn = cv::impl::(anonymous namespace)::Set<1, -1, -1>, VDcn = cv::impl::(anonymous namespace)::Set<3, 4, -1>, VDepth = cv::impl::(anonymous namespace)::Set<0, -1, -1>, sizePolicy = cv::impl::(anonymous namespace)::FROM_YUV]void cv::colormap::ColorMap::operator()(cv::InputArray, cv::OutputArray) const/Users/runner/work/opencv/opencv/modules/imgproc/src/colormap.cppcv::LUT only supports tables of size 256.cv::ColorMap only supports source images of type CV_8UC1 or CV_8UC3Unknown colormap id; use one of COLORMAP_*applyColorMapcv::LUT only supports tables CV_8UC1 or CV_8UC3.(x.type() == Y.type()) && (Y.type() == xi.type())interp1(x.cols == 1) && (x.rows == Y.rows) && (x.cols == Y.cols)cv::argsort only sorts 1D matrices.cv::sortRowsByIndices only works on integer indices!sortMatrixRowsByIndicesthe type of labels must be 16u or 32sconnectedComponents/Users/runner/work/opencv/opencv/modules/imgproc/src/connectedcomponents.cppconnectedComponentsWithStatsL.channels() == 1 && I.channels() == 1connectedComponents_sub1connectivity == 8 || connectivity == 4ccltype == CCL_SPAGHETTI || ccltype == CCL_BBDT || ccltype == CCL_SAUF || ccltype == CCL_BOLELLI || ccltype == CCL_GRANA || ccltype == CCL_WU || ccltype == CCL_DEFAULTiDepth == CV_8U || iDepth == CV_8Sunsupported label/image typeimgLabels.rows == img.rowsimgLabels.cols == img.colsimg.rows == imgLabels.rowsimg.cols == imgLabels.colsconnectivity == 8connectivity == 4cvStartReadChainPoints/Users/runner/work/opencv/opencv/modules/imgproc/src/contours.cppcvReadChainPoint(code & ~7) == 0cvSubstituteContourcvFindNextContourscanner->img_step >= 0par_info->is_hole != is_holecvEndFindContoursvoid cv::findContours(cv::InputArray, cv::OutputArrayOfArrays, cv::OutputArray, int, int, cv::Point)(_contours.kind() == _InputArray::STD_VECTOR_VECTOR || _contours.kind() == _InputArray::STD_VECTOR_MAT || _contours.kind() == _InputArray::STD_VECTOR_UMAT)findContours_contours.empty() || (_contours.channels() == 2 && _contours.depth() == CV_32S)ci.isContinuous()void cv::findContours(cv::InputArray, cv::OutputArrayOfArrays, int, int, cv::Point)cvStartFindContours_Impl[Start]FindContours supports only CV_8UC1 images when mode != CV_RETR_FLOODFILL otherwise supports CV_32SC1 images onlysize.height >= 1NULL double CvSeq pointercvFindContours_ImplNonzero offset is not supported in CV_LINK_RUNS yeticvFindContoursInIntervalContour header size must be >= sizeof(CvContour)Input array must be 8uC1 or 8sC1!_seq || _seq->elem_size == sizeof(_Tp)Seq/Users/runner/work/opencv/opencv/modules/core/include/opencv2/core/core_c.hvoid cv::convexHull(cv::InputArray, cv::OutputArray, bool, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/convhull.cpp_points.getObj() != _hull.getObj()convexHulltotal >= 0 && (depth == CV_32F || depth == CV_32S)points.isContinuous()void cv::convexityDefects(cv::InputArray, cv::InputArray, cv::OutputArray)convexityDefects0 <= hcurr && hcurr < npoints0 <= hnext && hnext < npointsThe convex hull indices are not monotonous, which can be in the case when the input contour contains self-intersectionsisContourConvexcvConvexHull2The hull matrix should be continuous and have a single row or a single columnThe hull matrix size might be not enough to fit the hullThe hull matrix must have the same type as input or 32sC1 (integers)Point sequence can not be empty if the output is matrixInput sequence is not a sequence of pointscvConvexityDefectsFloating-point coordinates are not supported hereConvex hull must represented as a sequence of indices or sequence of pointersConvex hull is neither sequence nor matrixThe matrix should be 1-dimensional and continuous array of int'sConvex hull is larger than the point sequencehull_next != NULL && hull_cur != NULLdx0 != 0 || dy0 != 0Input sequence must be polygon (closed 2d curve)cvCheckContourConvexityDestination is not CvMemStorage* nor CvMat*isStorageOrMat/Users/runner/work/opencv/opencv/modules/imgproc/src/precomp.hppvoid cv::cornerMinEigenVal(cv::InputArray, cv::OutputArray, int, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/corner.cppvoid cv::cornerHarris(cv::InputArray, cv::OutputArray, int, int, double, int)void cv::cornerEigenValsAndVecs(cv::InputArray, cv::OutputArray, int, int, int)void cv::preCornerDetect(cv::InputArray, cv::OutputArray, int, int)type == CV_8UC1 || type == CV_32FC1preCornerDetectsrc.size() == dst.size() && dst.type() == CV_32FC1cvCornerMinEigenValcvCornerHarrissrc.rows == dst.rows && src.cols*6 == dst.cols*dst.channels() && dst.depth() == CV_32FcvCornerEigenValsAndVecscvPreCornerDetectop_type == HARRIS || op_type == MINEIGENVALocl_cornerMinEigenValVecsBORDER_REFLECT101CORNER_MINEIGENVALCORNER_HARRIScorner-D anX=%d -D anY=%d -D ksX=%d -D ksY=%d -D %s -D %sextractCovDatasobel%d-D BLK_X=%d -D BLK_Y=%d -D %s -D SRCTYPE=%s%s -D SCHARRsrc.type() == CV_8UC1 || src.type() == CV_32FC1cornerEigenValsVecsvoid cv::cornerSubPix(cv::InputArray, cv::InputOutputArray, cv::Size, cv::Size, cv::TermCriteria)/Users/runner/work/opencv/opencv/modules/imgproc/src/cornersubpix.cppcornerSubPixwin.width > 0 && win.height > 0src.cols >= win.width*2 + 5 && src.rows >= win.height*2 + 5void cv::demosaicing(cv::InputArray, cv::OutputArray, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/demosaicing.cppdepth == CV_8U || depth == CV_16Udemosaicingscn == 1 && dcn == 1Bayer->Gray demosaicing only supports 8u and 16u typesscn == 1 && (dcn == 3 || dcn == 4)Bayer->RGB demosaicing only supports 8u and 16u typesscn == 1 && dcn == 3Bayer->RGB Edge-Aware demosaicing only currently supports 8u and 16u typesUnknown / unsupported color conversion codevoid cv::Sobel(cv::InputArray, cv::OutputArray, int, int, int, int, double, double, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/deriv.cppSobelvoid cv::Scharr(cv::InputArray, cv::OutputArray, int, int, int, double, double, int)Scharrvoid cv::Laplacian(cv::InputArray, cv::OutputArray, int, int, double, double, int)Laplaciansrc.size() == dst.size() && src.channels() == dst.channels()cvSobelcvLaplacektype == CV_32F || ktype == CV_64FgetScharrKernelsdx >= 0 && dy >= 0 && dx+dy == 1getSobelKernelsThe kernel size must be odd and not larger than 31dx >= 0 && dy >= 0 && dx+dy > 0-D %s %s%sKERNEL_MATRIX_XKERNEL_MATRIX_YsepFilter3x3_8UC1_cols16_rows2KERNEL_MATRIXlaplacian3_8UC1_cols16_rows2kernelX.cols == kernelY.colsocl_Laplacian5src_step != 0 && esz != 0-D BLK_X=%d -D BLK_Y=%d -D RADIUS=%d%s%s -D convertToWT=%s -D convertToDT=%s -D %s -D srcT1=%s -D dstT1=%s -D WT1=%s -D srcT=%s -D dstT=%s -D WT=%s -D CN=%d laplaciansumConvert-D ONLY_SUM_CONVERT -D srcT=%s -D WT=%s -D dstT=%s -D coeffT=%s -D wdepth=%d -D convertToWT=%s -D convertToDT=%s%svoid cv::distanceTransform(cv::InputArray, cv::OutputArray, cv::OutputArray, int, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/distransform.cppsrc.type() == CV_8UC1distanceTransformlabelType == DIST_LABEL_PIXEL || labelType == DIST_LABEL_CCOMPMask size should be 3 or 5 or 0 (precise)distType == CV_DIST_C || distType == CV_DIST_L1 || distType == CV_DIST_L2void cv::distanceTransform(cv::InputArray, cv::OutputArray, int, int, int)src.size() == dst.size()trueDistTranssrc.type() == CV_8UC1 && dst.type() == CV_32FC1getDistanceTransformMaskUnknown metric typevoid cv::distanceTransform_L1_8U(cv::InputArray, cv::OutputArray)distanceTransform_L1_8Usrc.type() == CV_8UC1 && dst.type() == CV_8UC1distanceATS_L1_8ubool cv::clipLine(cv::Size2l, cv::Point2l &, cv::Point2l &)/Users/runner/work/opencv/opencv/modules/imgproc/src/drawing.cpp(c1 & c2) != 0 || (x1 | y1 | x2 | y2) >= 0clipLinebool cv::clipLine(cv::Rect, cv::Point &, cv::Point &)dx >= 0 && dy >= 0void cv::ellipse2Poly(cv::Point2d, cv::Size2d, int, int, int, int, std::vector &)0 < delta && delta <= 180ellipse2Polyvoid cv::line(cv::InputOutputArray, cv::Point, cv::Point, const cv::Scalar &, int, int, int)0 < thickness && thickness <= MAX_THICKNESSline0 <= shift && shift <= XY_SHIFTvoid cv::arrowedLine(cv::InputOutputArray, cv::Point, cv::Point, const cv::Scalar &, int, int, int, double)void cv::rectangle(cv::InputOutputArray, cv::Point, cv::Point, const cv::Scalar &, int, int, int)thickness <= MAX_THICKNESSrectanglevoid cv::rectangle(cv::InputOutputArray, cv::Rect, const cv::Scalar &, int, int, int)void cv::circle(cv::InputOutputArray, cv::Point, int, const cv::Scalar &, int, int, int)radius >= 0 && thickness <= MAX_THICKNESS && 0 <= shift && shift <= XY_SHIFTcirclevoid cv::ellipse(cv::InputOutputArray, cv::Point, cv::Size, double, double, double, const cv::Scalar &, int, int, int)axes.width >= 0 && axes.height >= 0 && thickness <= MAX_THICKNESS && 0 <= shift && shift <= XY_SHIFTellipsevoid cv::ellipse(cv::InputOutputArray, const cv::RotatedRect &, const cv::Scalar &, int, int)box.size.width >= 0 && box.size.height >= 0 && thickness <= MAX_THICKNESSvoid cv::fillConvexPoly(cv::InputOutputArray, const cv::Point *, int, const cv::Scalar &, int, int)fillConvexPolyvoid cv::fillPoly(cv::InputOutputArray, const cv::Point **, const int *, int, const cv::Scalar &, int, int, cv::Point)pts && npts && ncontours >= 0 && 0 <= shift && shift <= XY_SHIFTfillPolyvoid cv::polylines(cv::InputOutputArray, const cv::Point *const *, const int *, int, bool, const cv::Scalar &, int, int, int)pts && npts && ncontours >= 0 && 0 <= thickness && thickness <= MAX_THICKNESS && 0 <= shift && shift <= XY_SHIFTpolylinesvoid cv::putText(cv::InputOutputArray, const cv::String &, cv::Point, int, double, cv::Scalar, int, int, bool)void cv::fillConvexPoly(cv::InputOutputArray, cv::InputArray, const cv::Scalar &, int, int)points.checkVector(2, CV_32S) >= 0void cv::fillPoly(cv::InputOutputArray, cv::InputArrayOfArrays, const cv::Scalar &, int, int, cv::Point)p.checkVector(2, CV_32S) >= 0void cv::polylines(cv::InputOutputArray, cv::InputArrayOfArrays, bool, const cv::Scalar &, int, int, int)void cv::drawContours(cv::InputOutputArray, cv::InputArrayOfArrays, int, const cv::Scalar &, int, int, cv::InputArray, int, cv::Point)0 <= contourIdx && contourIdx < (int)lastdrawContourshierarchy.total() == ncontours && hierarchy.type() == CV_32SC4cvDrawContoursreader.ptr != NULLelem_type == CV_32SC2cvClipLinecvInitLineIteratortext != 0 && _font != 0cvPutTextfont != 0 && hscale > 0 && vscale > 0 && thickness >= 0cvInitFontcvGetTextSize0 <= shift && shift <= XY_SHIFT && thickness >= 0PolyLineFillEdgeCollectionUnknown font typegetFontDataThe arrays must have equal number of columns (which is number of dimensions but 1)cvCalcEMD2/Users/runner/work/opencv/opencv/modules/imgproc/src/emd.cppThe array must have equal typesThe signatures must be 32fC1The flow matrix size does not match to the signatures' sizesThe flow matrix must be 32fC1Only one of cost matrix or distance function should be non-NULL in case of user-defined distanceThe lower boundary can not be calculated if the cost matrix is usedThe cost matrix size does not match to the signatures' sizesThe cost matrix must be 32fC1In case of user-defined distance Distance function is undefinedNumber of dimensions can be 0 only if a user-defined metric is usedBad or unsupported metric typefloat cv::EMD(cv::InputArray, cv::InputArray, int, cv::InputArray, float *, cv::OutputArray)cost_step % sizeof(float) == 0icvInitEMDsignature1 must not contain negative weightssignature2 must not contain negative weightssignature1 must contain at least one non-zero valuesignature2 must contain at least one non-zero valuebuffer <= buffer_endu != 0 && v != 0icvFindBasicVariablesicvNewSolutionvoid cv::goodFeaturesToTrack(cv::InputArray, cv::OutputArray, int, double, double, cv::InputArray, cv::OutputArray, int, int, bool, double)/Users/runner/work/opencv/opencv/modules/imgproc/src/featureselect.cppqualityLevel > 0 && minDistance >= 0 && maxCorners >= 0goodFeaturesToTrack_mask.empty() || (_mask.type() == CV_8UC1 && _mask.sameSize(_image))_corners && _corner_countcvGoodFeaturesToTracksizeof(Corner) == corners_buffer.elemSize()ocl_goodFeaturesToTrackeig.type() == CV_32FC1maxEigenVal-D OP_MAX_EIGEN_VAL -D WGS=%d -D groupnum=%d -D WGS2_ALIGNED=%d%smaxEigenValTask-D OP_MAX_EIGEN_VAL -D WGS=%zu -D WGS2_ALIGNED=%d -D groupnum=%dfindCorners-D OP_FIND_CORNERS%sint cv::cpu_baseline::FilterEngine__start(cv::FilterEngine &, const cv::Size &, const cv::Size &, const cv::Point &)/Users/runner/work/opencv/opencv/modules/imgproc/src/filter.simd.hppthis_.roi.x >= 0 && this_.roi.y >= 0 && this_.roi.width >= 0 && this_.roi.height >= 0 && this_.roi.x + this_.roi.width <= this_.wholeSize.width && this_.roi.y + this_.roi.height <= this_.wholeSize.heightFilterEngine__startconstVal != NULLint cv::cpu_baseline::FilterEngine__proceed(cv::FilterEngine &, const uchar *, int, int, uchar *, int)src && dst && count > 0FilterEngine__proceedsrcY >= this_.startYthis_.dstY <= this_.roi.heightvoid cv::cpu_baseline::FilterEngine__apply(cv::FilterEngine &, const cv::Mat &, cv::Mat &, const cv::Size &, const cv::Point &)Ptr cv::cpu_baseline::getLinearRowFilter(int, int, const cv::Mat &, int, int)cn == CV_MAT_CN(bufType) && ddepth >= std::max(sdepth, CV_32S) && kernel.type() == ddepthgetLinearRowFilterPtr cv::cpu_baseline::getLinearColumnFilter(int, int, const cv::Mat &, int, int, double, int)cn == CV_MAT_CN(bufType) && sdepth >= std::max(ddepth, CV_32S) && kernel.type() == sdepthgetLinearColumnFilterUnsupported combination of buffer format (=%d), and destination format (=%d)Ptr cv::cpu_baseline::getLinearFilter(int, int, const cv::Mat &, cv::Point, double, int)cn == CV_MAT_CN(dstType) && ddepth >= sdepthgetLinearFilterUnsupported combination of source format (=%d), and destination format (=%d)columnBorderType != BORDER_WRAP/Users/runner/work/opencv/opencv/modules/imgproc/src/filter.dispatch.cpprowFilter && columnFilterbufType == srcType0 <= anchor.x && anchor.x < ksize.width && 0 <= anchor.y && anchor.y < ksize.heightvirtual int cv::FilterEngine::start(const cv::Size &, const cv::Size &, const cv::Point &)!_wholeSize.empty()virtual int cv::FilterEngine::start(const cv::Mat &, const cv::Size &, const cv::Point &)virtual int cv::FilterEngine::proceed(const uchar *, int, int, uchar *, int)wholeSize.width > 0 && wholeSize.height > 0proceedvirtual void cv::FilterEngine::apply(const cv::Mat &, cv::Mat &, const cv::Size &, const cv::Point &)src.type()srcTypedst.type()dstType_kernel.channels() == 1getKernelTypePtr cv::getLinearRowFilter(int, int, cv::InputArray, int, int)Ptr cv::getLinearColumnFilter(int, int, cv::InputArray, int, int, double, int)cn == CV_MAT_CN(_dstType)createSeparableLinearFiltercreateSeparableLinearFilter: bit-exact row-kernel can't be applied: ksize=createSeparableLinearFilter: bit-exact column-kernel can't be applied: ksize=ktype == CV_8U || ktype == CV_32S || ktype == CV_32F || ktype == CV_64Fpreprocess2DKernelocl_sepFilter2D: bit-exact delta can't be applied: delta=ocl_sepFilter2Docl_sepFilter2D: bit-exact row-kernel can't be applied: ksize=ocl_sepFilter2D: bit-exact column-kernel can't be applied: ksize=Ptr cv::getLinearFilter(int, int, cv::InputArray, cv::Point, double, int)createLinearFiltervoid cv::filter2D(cv::InputArray, cv::OutputArray, int, cv::InputArray, cv::Point, double, int)filter2D!_kernel.empty()void cv::sepFilter2D(cv::InputArray, cv::OutputArray, int, cv::InputArray, cv::InputArray, cv::Point, double, int)sepFilter2D!_kernelX.empty()!_kernelY.empty()kernelX.type() == kernelY.type() && (kernelX.cols == 1 || kernelX.rows == 1) && (kernelY.cols == 1 || kernelY.rows == 1)cvFilter2D(symmetryType & (KERNEL_SYMMETRICAL | KERNEL_ASYMMETRICAL)) != 0SymmColumnVec_32s8uSymmColumnSmallVec_32s16sSymmColumnSmallVec_32fSymmColumnVec_32f8uSymmColumnVec_32f16sSymmColumnVec_32fanchor.inside(Rect(0, 0, ksize.width, ksize.height))normalizeAnchor/Users/runner/work/opencv/opencv/modules/imgproc/src/filterengine.hpp-D BLK_X=%d -D BLK_Y=%d -D RADIUSX=%d -D RADIUSY=%d%s%s -D srcT=%s -D convertToWT=%s -D WT=%s -D dstT=%s -D convertToDstT=%s -D %s -D srcT1=%s -D dstT1=%s -D WT1=%s -D CN=%d -D SHIFT_BITS=%d%s -D INTEGER_ARITHMETICsep_filtersepFilter2D: inplace arguments are not allowed for non-inplace operations. Performance impact warning.ocl_sepFilter2D_SinglePassshift_bits == 0 || int_arithmocl_sepRowFilter2D-D RADIUSX=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D %s -D %s -D %s -D srcT=%s -D dstT=%s -D convertToDstT=%s -D srcT1=%s -D dstT1=%s%s%sEXTRA_EXTRAPOLATIONNO_EXTRA_EXTRAPOLATION_C1_D0ocl_sepColFilter2D-D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D CN=%d -D srcT=%s -D dstT=%s -D convertToFloatT=%s -D floatT=%s -D convertToDstT=%s -D srcT1=%s -D dstT1=%s -D SHIFT_BITS=%d%s%scol_filter-D cn=%d -D ANCHOR_X=%d -D ANCHOR_Y=%d -D KERNEL_SIZE_X=%d -D KERNEL_SIZE_Y=%d -D PX_LOAD_VEC_SIZE=%d -D PX_LOAD_NUM_PX=%d -D PX_PER_WI_X=%d -D PX_PER_WI_Y=%d -D PRIV_DATA_WIDTH=%d -D %s -D %s -D PX_LOAD_X_ITERATIONS=%d -D PX_LOAD_Y_ITERATIONS=%d -D srcT=%s -D srcT1=%s -D dstT=%s -D dstT1=%s -D WT=%s -D WT1=%s -D convertToWT=%s -D convertToDstT=%s %sfilter2DSmall-D LOCAL_SIZE=%d -D cn=%d -D ANCHOR_X=%d -D ANCHOR_Y=%d -D KERNEL_SIZE_X=%d -D KERNEL_SIZE_Y=%d -D KERNEL_SIZE_Y2_ALIGNED=%d -D %s -D %s -D %s%s%s -D srcT=%s -D srcT1=%s -D dstT=%s -D dstT1=%s -D WT=%s -D WT1=%s -D convertToWT=%s -D convertToDstT=%s(symmetryType & (KERNEL_SYMMETRICAL | KERNEL_ASYMMETRICAL)) != 0 && this->ksize <= 5SymmRowSmallFilterkernel.type() == DataType

::type && (kernel.rows == 1 || kernel.cols == 1)RowFiltervirtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::cpu_baseline::SymmRowSmallVec_8u32s]int cv::cpu_baseline::SymmRowSmallVec_8u32s::operator()(const uchar *, uchar *, int, int) constvirtual void cv::cpu_baseline::SymmRowSmallFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::cpu_baseline::SymmRowSmallVec_8u32s]virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::cpu_baseline::SymmRowSmallVec_32f]int cv::cpu_baseline::SymmRowSmallVec_32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::cpu_baseline::SymmRowSmallFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::cpu_baseline::SymmRowSmallVec_32f]virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::cpu_baseline::RowVec_8u32s]int cv::cpu_baseline::RowVec_8u32s::operator()(const uchar *, uchar *, int, int) constvirtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = float, VecOp = cv::cpu_baseline::RowVec_8u32f]int cv::cpu_baseline::RowVec_8u32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = double, VecOp = cv::cpu_baseline::RowNoVec]virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned short, DT = float, VecOp = cv::cpu_baseline::RowNoVec]virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned short, DT = double, VecOp = cv::cpu_baseline::RowNoVec]virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = short, DT = float, VecOp = cv::cpu_baseline::RowVec_16s32f]int cv::cpu_baseline::RowVec_16s32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = short, DT = double, VecOp = cv::cpu_baseline::RowNoVec]virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::cpu_baseline::RowVec_32f]int cv::cpu_baseline::RowVec_32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = double, VecOp = cv::cpu_baseline::RowNoVec]virtual void cv::cpu_baseline::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = double, DT = double, VecOp = cv::cpu_baseline::RowNoVec]kernel.type() == DataType::type && (kernel.rows == 1 || kernel.cols == 1)ColumnFiltervirtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::FixedPtCastEx, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]this->ksize == 3SymmColumnSmallFilterSymmColumnFiltervirtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::FixedPtCastEx, VecOp = cv::cpu_baseline::SymmColumnVec_32s8u]int cv::cpu_baseline::SymmColumnVec_32s8u::operator()(const uchar **, uchar *, int) constvirtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::FixedPtCastEx, VecOp = cv::cpu_baseline::SymmColumnVec_32s8u]virtual void cv::cpu_baseline::SymmColumnSmallFilter, cv::cpu_baseline::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::FixedPtCastEx, VecOp = cv::cpu_baseline::SymmColumnVec_32s8u]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnSmallVec_32s16s]int cv::cpu_baseline::SymmColumnSmallVec_32s16s::operator()(const uchar **, uchar *, int) constvirtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnSmallVec_32s16s]virtual void cv::cpu_baseline::SymmColumnSmallFilter, cv::cpu_baseline::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnSmallVec_32s16s]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnSmallVec_32f]int cv::cpu_baseline::SymmColumnSmallVec_32f::operator()(const uchar **, uchar *, int) constvirtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnSmallVec_32f]virtual void cv::cpu_baseline::SymmColumnSmallFilter, cv::cpu_baseline::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnSmallVec_32f]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::SymmColumnVec_32f8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnVec_32f8u]int cv::cpu_baseline::SymmColumnVec_32f8u::operator()(const uchar **, uchar *, int) constvirtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::SymmColumnVec_32f8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnVec_32f8u]virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::SymmColumnVec_32f16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnVec_32f16s]int cv::cpu_baseline::SymmColumnVec_32f16s::operator()(const uchar **, uchar *, int) constvirtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::SymmColumnVec_32f16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnVec_32f16s]virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]virtual void cv::cpu_baseline::ColumnFilter, cv::cpu_baseline::SymmColumnVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnVec_32f]int cv::cpu_baseline::SymmColumnVec_32f::operator()(const uchar **, uchar *, int) constvirtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::SymmColumnVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::SymmColumnVec_32f]virtual void cv::cpu_baseline::SymmColumnFilter, cv::cpu_baseline::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::cpu_baseline::Cast, VecOp = cv::cpu_baseline::ColumnNoVec]_kernel.type() == DataType::typeFilter2Dint cv::cpu_baseline::FilterVec_8u::operator()(const uchar **, uchar *, int) constint cv::cpu_baseline::FilterVec_8u16s::operator()(const uchar **, uchar *, int) constint cv::cpu_baseline::FilterVec_32f::operator()(const uchar **, uchar *, int) constint cv::floodFill(cv::InputOutputArray, cv::InputOutputArray, cv::Point, cv::Scalar, cv::Rect *, cv::Scalar, cv::Scalar, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/floodfill.cppNumber of channels in input image must be 1 or 3floodFillConnectivity must be 4, 0(=4) or 8lo_diff and up_diff must be non-negativeSeed point is outside of imagemask.rows == size.height+2 && mask.cols == size.width+2mask.type() == CV_8Uint cv::floodFill(cv::InputOutputArray, cv::Point, cv::Scalar, cv::Rect *, cv::Scalar, cv::Scalar, int)getGaborKernel/Users/runner/work/opencv/opencv/modules/imgproc/src/gabor.cppcalcEdges/Users/runner/work/opencv/opencv/modules/imgproc/src/generalized_hough.cppcannyLowThresh_ > 0 && cannyLowThresh_ < cannyHighThresh_templEdges_.type() == CV_8UC1setTemplateImpltemplDx_.type() == CV_32FC1 && templDx_.size() == templEdges_.size()templDy_.type() == templDx_.type() && templDy_.size() == templEdges_.size()!hasVotes || voteOutBuf_.size() == oldSizefilterMinDist!hasVotes || voteOutBuf_.size() == posOutBuf_.size()imageEdges_.type() == CV_8UC1detectImplimageDx_.type() == CV_32FC1 && imageDx_.size() == imageEdges_.size()imageDy_.type() == imageDx_.type() && imageDy_.size() == imageEdges_.size()processTemplvoid (anonymous namespace)::GeneralizedHoughBallardImpl::calcHist()calcHistimageDx_.type() == CV_32FC1 && imageDx_.size() == imageSize_imageDy_.type() == imageDx_.type() && imageDy_.size() == imageSize_levels_ > 0 && r_table_.size() == static_cast(levels_ + 1)votesThreshold_ > 0findPosInHistbuildFeatureListedges.type() == CV_8UC1getContourPointsdx.type() == CV_32FC1 && dx.size == edges.sizedy.type() == dx.type() && dy.size == edges.sizecalcOrientationtemplFeatures_.size() == static_cast(levels_ + 1)imageFeatures_.size() == templFeatures_.size()minAngle_ >= 0.0 && minAngle_ < maxAngle_ && maxAngle_ <= 360.0angleStep_ > 0.0 && angleStep_ < 360.0angleThresh_ > 0calcScaleminScale_ > 0.0 && minScale_ < maxScale_scaleStep_ > 0.0scaleThresh_ > 0calcPositionNULL vertex array pointercvBoxPoints/Users/runner/work/opencv/opencv/modules/imgproc/src/geometry.cppdouble cv::pointPolygonTest(cv::InputArray, cv::Point2f, bool)total >= 0 && (depth == CV_32S || depth == CV_32F)pointPolygonTestfloat cv::intersectConvexConvex(cv::InputArray, cv::InputArray, cv::OutputArray, bool)p1.depth() == CV_32S || p1.depth() == CV_32FintersectConvexConvexp2.depth() == CV_32S || p2.depth() == CV_32Fn >= 0 && m >= 0temp.ptr() == dstvoid cv::grabCut(cv::InputArray, cv::InputOutputArray, cv::Rect, cv::InputOutputArray, cv::InputOutputArray, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/grabcut.cppgrabCutimage must have CV_8UC3 type_model must have CV_64FC1 type, rows == 1 and cols == 13*componentsCountGMMdtrm > std::numeric_limits::epsilon()calcInverseCovAndDetermcheckMaskmask must have CV_8UC1 typemask must have as many rows and cols as imgmask element value must be equal GC_BGD or GC_FGD or GC_PR_BGD or GC_PR_FGD!bgdSamples.empty() && !fgdSamples.empty()initGMMstotalSampleCount > 0endLearningcovDeterms[ci] > std::numeric_limits::epsilon()i>=0 && i<(int)vtcs.size()addTermWeights/Users/runner/work/opencv/opencv/modules/imgproc/include/opencv2/imgproc/detail/gcgraph.hppaddEdgesj>=0 && j<(int)vtcs.size()maxFlowinSourceSegmentMWRMNV RMVV PSTSMWOMOV OMSMUNUPSQ OQSQURUUSVOVMXVNTMRMPNOPOSPURVTVVUMWOMOV OMRMTNUPUSTURVOVMWOMOV OMUM OQSQ OVUVMVOMOV OMUM OQSQMXVNTMRMPNOPOSPURVTVVUVR SRVRMWOMOV UMUV OQUQPTRMRVNUSMSTRVPVOTOSMWOMOV UMOS QQUVMVOMOV OVUVLXNMNV NMRV VMRV VMVVMWOMOV OMUV UMUVMXRMPNOPOSPURVSVUUVSVPUNSMRMMWOMOV OMSMUNUQSRORMXRMPNOPOSPURVSVUUVSVPUNSMRM STVWMWOMOV OMSMUNUQSROR RRUVMWUNSMQMONOOPPTRUSUUSVQVOUMWRMRV NMVMMXOMOSPURVSVUUVSVMMWNMRV VMRVLXNMPV RMPV RMTV VMTVMWOMUV UMOVMWNMRQRV VMRQMWUMOV OMUM OVUVMVOMOV OMUMMWRMNV RMVV NVVVMXRMPNOPOSPURVSVUUVSVPUNSMRM QQTR TQQRMWRMNV RMVVMWOMUM PQTR TQPR OVUVMWOMOV UMUV OMUMMWOMRQOV OMUM OVUVMWNONNOMPMQNRPRV VOVNUMTMSNRPLXRMRV PONPNSPTTTVSVPTOPOLXRMRV NOOPOSQTSTUSUPVOMXOVQVOROPPNRMSMUNVPVRTVVVMWSMMV SMUV OSTSMWQMNV QMTMVNVPSQPQ SQURUTTURVNVLXVPUNTMRMPNOONQNSOUPVRVTUUTMXQMNV QMUMVOVQUTTURVNVMVQMNV QMVM PQSQ NVSVMVQMNV QMVM PQSQLXVPUNTMRMPNOONQNSOUPVRVTUUSRSMXQMNV WMTV PQUQPUTMQVOVUMSSRUQVPVOUOTMVQMNV VMOS RQTVNVRMOV OVTVLYPMMV PMQV XMQV XMUVMXQMNV QMTV WMTVLXRMPNOONQNSOUPVRVTUUTVRVPUNTMRMMWQMNV QMUMVNVPUQSRPRLXRMPNOONQNSOUPVRVTUUTVRVPUNTMRM QVPUPTQSRSSTTVUWVWMWQMNV QMUMVNVPUQSRPR QRRUSVTVUUMWVNTMRMPNPPQQTRUSUUSVPVNUMVSMPV PMVMLXPMNSNUOVRVTUUSWMMWOMQV WMQVKXNMNV SMNV SMSV XMSVNWQMTV WMNVNWQMSQQV 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VIVJULE_\O\N[N[P]P]N\M[MYNWPRXPZN[K[HZGXGVHTISKRPPROTMUKUITGRFPGOIOLPRQURWTZV[X[YYYX L[HZ IZHXHVITJSLR PPQSTYVZ K[JZIXIVJTKSMRRO OLPOQRSVUYWZXZYYH]TBL_ YBQ_ ZKZJYJYL[L[JZHYGVFRFOGMIMLNNPPVSWUWXVZ NLONVRWT OGNINKOMUPWRXTXWWYVZS[O[LZKYJWJULULWKWKVG^_BEbFb _B`BFbJZZBXCUERHPKNOMSMXN\O_Qb SHQKOONTN\ ZBWDTGRJQLPOOSN\ NTO]P`QbJZSBUEVHWLWQVUTYR\O_LaJb VHVPUUSYQ\ SBTDUGVP VHUQTUSXRZP]M`JbJ[TFSGUQTR TFTR TFUGSQTR OIPIXOYO OIYO OIOJYNYO YIXIPOOO YIOO YIYJONOOMWUFTGRM UGRM UFVGRMH\PFOGMM PGMM PFQGMM ZFYGWM ZGWM ZF[GWMKZSFQGPIPKQMSNUNWMXKXIWGUFSF SFPIQMUNXKWGSF UFQGPKSNWMXIUFG^SFKbLb SFTFLb YFQbRb YFZFRb KP\P\Q KPKQ\Q IWZWZX IWIXZXE^^F\GXHUHQGOFMFKGJIJKLMNMPLQJQHOF ^FE[ ^FF[ ^FG[ XTVTTUSWSYU[W[YZZXZVXT PGMFJIKLNMQJPG OFKGJK LMPLQH YUVTSWTZW[ZXYU XTTUSY U[YZZV E[G[E`UQUNTLRKPKNLMMLPLSMUOVQVSUTTUQ OLNMMPMSNU RKPLOMNPNSOUPV VKUQUSVUXVZV\U]R]O\L[JYHWGTFQFNGLHJJILHOHRIUJWLYNZQ[T[WZYYXYWZ WKVQVSWU VKXKWQWSXUZVvoid cv::calcHist(const cv::Mat *, int, const int *, cv::InputArray, cv::OutputArray, int, const int *, const float **, bool, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/histogram.cppimages && nimages > 0dims > 0 && histSizemask.empty() || mask.type() == CV_8UC1void cv::calcHist(const cv::Mat *, int, const int *, cv::InputArray, cv::SparseMat &, int, const int *, const float **, bool, bool)void cv::calcHist(cv::InputArrayOfArrays, const std::vector &, cv::InputArray, cv::OutputArray, const std::vector &, const std::vector &, bool)nimages > 0 && dims > 0rsz == dims*2 || (rsz == 0 && images.depth(0) == CV_8U)csz == 0 || csz == dimsvoid cv::calcBackProject(const cv::Mat *, int, const int *, cv::InputArray, cv::OutputArray, const float **, double, bool)calcBackProjectdims > 0 && !hist.empty()void cv::calcBackProject(const cv::Mat *, int, const int *, const cv::SparseMat &, cv::OutputArray, const float **, double, bool)void cv::calcBackProject(cv::InputArrayOfArrays, const std::vector &, cv::InputArray, cv::OutputArray, const std::vector &, double)H0.isContinuous()rsz == dims*2 || (rsz == 2 && _1d) || (rsz == 0 && images.depth(0) == CV_8U)csz == 0 || csz == dims || (csz == 1 && _1d)double cv::compareHist(cv::InputArray, cv::InputArray, int)H1.type() == H2.type() && H1.depth() == CV_32FcompareHistit.planes[0].isContinuous() && it.planes[1].isContinuous()Unknown comparison methoddouble cv::compareHist(const cv::SparseMat &, const cv::SparseMat &, int)dims > 0 && dims == H2.dims() && H1.type() == H2.type() && H1.type() == CV_32FH1.size(i) == H2.size(i)Number of dimensions is out of rangecvCreateHistNull pointerInvalid histogram typeNull histogram header pointercvMakeHistHeaderForArrayOnly uniform bin ranges can be used here (to avoid memory allocation)cvReleaseHistInvalid histogram headercvClearHistcvThreshHistcvNormalizeHistcvGetMinMaxHistValueInvalid histogram header[s]cvCompareHistOne of histograms is sparse and other is notThe histograms have different numbers of dimensionsThe histograms have different sizesDestination double pointer is NULLcvCopyHistNULL ranges pointercvSetHistBinRangesOne of elements is NULLBin ranges should go in ascenting orderBad histogram pointercvCalcArrHistNull double array pointercvCalcArrBackProject_dst.size() == images[0].size() && _dst.depth() == images[0].depth()cvCalcArrBackProjectPatchBad normalization factor (set it to 1.0 if unsure)The patch width and height must be positiveInvalid number of dimensionsResultant image must have 32fC1 typeThe output map must be (W-w+1 x H-h+1), where the input images are (W x H) each and the patch is (w x h)NULL histogram array pointercvCalcBayesianProbToo small number of histogramsThe function supports dense histograms onlyscale must be positivecvCalcProbDensityInvalid histogram pointer[s]All histograms must have 32fC1 typevoid cv::equalizeHist(cv::InputArray, cv::OutputArray)_src.type() == CV_8UC1equalizeHistchannels != 0 || nimages == dimshistPrepareImagesimages[j].channels() == 1images[j].size() == imsize && images[j].depth() == depthmask.size() == imsize && mask.channels() == 1ranges[i] && ranges[i][0] < ranges[i][1]ranges[i][k] < ranges[i][k+1]Either ranges, either uniform ranges should be providedcalcHistLookupTables_8ucalcSparseHist_calculate_histogram-D BINS=%d -D HISTS_COUNT=%d -D WGS=%zu -D kercn=%d -D T=%s%smerge_histogram-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d -D convertToHT=%s -D HT=%socl_calcBackProjectsize == m.size() && depth == m.depth()channels[i] < (int)totalcn-D histdims=1 -D scn=%dcalcLUTidx0 >= 0 && idx1 >= 0-D histdims=2 -D scn1=%d -D scn2=%d-D BINS=%d -D HISTS_COUNT=%d -D WGS=%dcalcHist_calcBackProj_calcSparseBackProj_void cv::HoughLines(cv::InputArray, cv::OutputArray, double, double, int, double, double, double, double)/Users/runner/work/opencv/opencv/modules/imgproc/src/hough.cppWrong type of output linestype == CV_32FC2 || type == CV_32FC3void cv::HoughLinesP(cv::InputArray, cv::OutputArray, double, double, int, double, double)_point.type() == CV_32FC2 || _point.type() == CV_32SC2HoughLinesPointSetlines_max must be greater than 0threshold must be greater than 0max must be greater than minstep must be greater than 0NULL destinationcvHoughLines2rho, theta and threshold must be positiveThe destination matrix should be continuous and have a single row or a single columnThe destination matrix data type is inappropriate, see the manualUnrecognized method idcvHoughCirclesocl_HoughLinesmax_theta must fall between 0 and pimin_theta must fall between 0 and max_thetarho and theta must be greater 0get_lines-D GET_LINESmake_point_list-D MAKE_POINTS_LIST -D GROUP_SIZE=%d -D LOCAL_SIZE=%dfill_accum_global-D FILL_ACCUM_GLOBALfill_accum_local-D FILL_ACCUM_LOCAL -D LOCAL_SIZE=%d -D BUFFER_SIZE=%dvoid cv::HoughLinesStandard(cv::InputArray, cv::OutputArray, int, float, float, int, int, double, double)img.type() == CV_8UC1HoughLinesStandardmax_theta must be greater than min_thetamax_thetamin_thetavoid cv::HoughLinesSDiv(cv::InputArray, cv::OutputArray, int, float, float, int, int, int, int, double, double)HoughLinesSDivocl_HoughLinesP-D GET_LINES_PROBABOLISTICimage.type() == CV_8UC1HoughLinesProbabilisticvoid cv::HoughCircles(cv::InputArray, cv::OutputArray, int, double, double, double, double, int, int, int, double)Wrong type of output circlestype == CV_32FC3 || type == CV_32FC4!_image.empty() && _image.type() == CV_8UC1 && (_image.isMat() || _image.isUMat())HoughCirclesdp, min_dist and canny_threshold must be all positive numbersacc_threshold must be a positive numberUnrecognized method id. Actually only CV_HOUGH_GRADIENT is supported.HoughCircleEstimateRadiusInvokermdata[p.y*mstep + p.x] == 1HoughCirclesAltvoid cv::remap(cv::InputArray, cv::OutputArray, cv::InputArray, cv::InputArray, int, int, const cv::Scalar &)/Users/runner/work/opencv/opencv/modules/imgproc/src/imgwarp.cppremap_map2.empty() || (_map2.size() == _map1.size())dst.cols < SHRT_MAX && dst.rows < SHRT_MAX && src.cols < SHRT_MAX && src.rows < SHRT_MAX_src.channels() <= 4Unknown interpolation method((map1.type() == CV_32FC2 || map1.type() == CV_16SC2) && map2.empty()) || (map1.type() == CV_32FC1 && map2.type() == CV_32FC1)void cv::convertMaps(cv::InputArray, cv::InputArray, cv::OutputArray, cv::OutputArray, int, bool)(m1type == CV_16SC2 && (nninterpolate || m2type == CV_16UC1 || m2type == CV_16SC1)) || (m2type == CV_16SC2 && (nninterpolate || m1type == CV_16UC1 || m1type == CV_16SC1)) || (m1type == CV_32FC1 && m2type == CV_32FC1) || (m1type == CV_32FC2 && m2->empty())convertMapsdstm1type == CV_16SC2 || dstm1type == CV_32FC1 || dstm1type == CV_32FC2Unsupported combination of input/output matriceswarpAffinevoid cv::warpAffine(cv::InputArray, cv::OutputArray, cv::InputArray, cv::Size, int, int, const cv::Scalar &)_src.channels() <= 4 || (interpolation != INTER_LANCZOS4 && interpolation != INTER_CUBIC)src.cols > 0 && src.rows > 0(M0.type() == CV_32F || M0.type() == CV_64F) && M0.rows == 2 && M0.cols == 3warpPerspectivevoid cv::warpPerspective(cv::InputArray, cv::OutputArray, cv::InputArray, cv::Size, int, int, const cv::Scalar &)_src.total() > 0(M0.type() == CV_32F || M0.type() == CV_64F) && M0.rows == 3 && M0.cols == 3cv::Matx23d cv::getRotationMatrix2D_(cv::Point2f, double, double)cv::Mat cv::getPerspectiveTransform(const cv::Point2f *, const cv::Point2f *, int)matM.rows == 2 && matM.cols == 3invertAffineTransformsrc.checkVector(2, CV_32F) == 4 && dst.checkVector(2, CV_32F) == 4src.checkVector(2, CV_32F) == 3 && dst.checkVector(2, CV_32F) == 3getAffineTransformsrc.type() == dst.type()cvWarpAffinecvWarpPerspectivesrc.type() == dst.type() && dst.size() == mapx.size()cvRemapM.size() == M0.size()cv2DRotationMatrixcvGetPerspectiveTransformcvGetAffineTransformwarpPolarcvLinearPolarcvLogPolarmap1.type() == CV_32FC2 || (map1.type() == CV_32FC1 && map2.type() == CV_32FC1)ocl_remap_32FC2_16SC2_16UC1_2_32FC1Unsupported map typesINTER_NEARESTINTER_LINEARINTER_CUBICINTER_LANCZOSBORDER_TRANSPARENT-D %s -D %s -D T=%s -D rowsPerWI=%d -D WT=%s -D convertToT=%s -D convertToWT=%s -D convertToWT2=%s -D WT2=%s -D T=%s -D T1=%s -D cn=%d -D ST=%s -D depth=%dUnknown/unsupported interpolation typeinitInterTab2DinitInterTab1Dop_type == OCL_OP_AFFINE || op_type == OCL_OP_PERSPECTIVEocl_warpTransform_cols4AffinePerspectivenearestlinearcubicwarp%s_%s_8u-D ST=%s(M1.type() == CV_32F || M1.type() == CV_64F) && M1.rows == matRows && M1.cols == 3ocl_warpTransformNEARESTLINEARCUBIC-D INTER_NEAREST -D T=%s%s -D CT=%s -D T1=%s -D ST=%s -D cn=%d -D rowsPerWI=%d-D INTER_%s -D T=%s -D T1=%s -D ST=%s -D WT=%s -D depth=%d -D convertToWT=%s -D convertToT=%s%s -D CT=%s -D cn=%d -D rowsPerWI=%dremapBilinearvoid cv::segmentation::IntelligentScissorsMB::Impl::setWeights(float, float, float)/Users/runner/work/opencv/opencv/modules/imgproc/src/intelligent_scissors.cppweight_non_edge_0.0fweight_gradient_direction_weight_gradient_magnitude_Sum of weights must be greater than zeroweight_non_edge_ + weight_gradient_direction_ + weight_gradient_magnitude_FLT_EPSILONvoid cv::segmentation::IntelligentScissorsMB::Impl::resetFeatures_()void cv::segmentation::IntelligentScissorsMB::Impl::setGradientMagnitudeMaxLimit(float)gradient_magnitude_threshold_max_void cv::segmentation::IntelligentScissorsMB::Impl::setEdgeFeatureZeroCrossingParameters(float)gradient_magnitude_min_value_void cv::segmentation::IntelligentScissorsMB::Impl::setEdgeFeatureCannyParameters(double, double, int, bool)threshold10.0threshold2void cv::segmentation::IntelligentScissorsMB::Impl::applyImage(cv::InputArray)image.type()image.type() == CV_8UC1 || image.type() == CV_8UC3 || image.type() == CV_8UC4void cv::segmentation::IntelligentScissorsMB::Impl::cleanupFeaturesTemporaryArrays_()void cv::segmentation::IntelligentScissorsMB::Impl::extractEdgeFeature_(cv::InputArray)void cv::segmentation::IntelligentScissorsMB::Impl::initGrayscale_(cv::InputArray)initGrayscale_void cv::segmentation::IntelligentScissorsMB::Impl::initImageMagnitude_(cv::InputArray)void cv::segmentation::IntelligentScissorsMB::Impl::initImageDerives_(cv::InputArray)void cv::segmentation::IntelligentScissorsMB::Impl::extractGradientDirection_(cv::InputArray)void cv::segmentation::IntelligentScissorsMB::Impl::extractGradientMagnitude_(cv::InputArray)IntelligentScissorsMB: input image gradient is almost zeroextractGradientMagnitude_void cv::segmentation::IntelligentScissorsMB::Impl::applyImageFeatures(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputArray)src_sizegradient_direction_sizegradient_magnitude_sizeimage_size!src_size.empty()applyImageFeaturesnon_edge.type()CV_8UC1Non-edge feature parameter is missing. Input image parameter is required to extract this featuregradient_direction_.type()CV_32FC2Gradient direction feature parameter is missing. Input image parameter is required to extract this featuregradient_magnitude_.type()CV_32FC1Gradient magnitude feature parameter is missing. Input image parameter is required to extract this featurevoid cv::segmentation::IntelligentScissorsMB::Impl::buildMap(const cv::Point &)buildMap!gradient_magnitude.empty() && "Features are missing. applyImage() must be called first"weight_non_edge + weight_gradient_direction + weight_gradient_magnitudevoid cv::segmentation::IntelligentScissorsMB::Impl::getContour(const cv::Point &, cv::OutputArray, bool)!optimalPathsMap.empty() && "buildMap() must be called before getContour()"getContourpt.xpt.yMap is invaliddirection9Map is invalid. Contour loop is detectedpt_checkptcv::segmentation::IntelligentScissorsMB::Impl::Impl()int cv::rotatedRectangleIntersection(const cv::RotatedRect &, const cv::RotatedRect &, cv::OutputArray)/Users/runner/work/opencv/opencv/modules/imgproc/src/intersection.cppint cv::_rotatedRectangleIntersection(const cv::RotatedRect &, const cv::RotatedRect &, std::vector &)fabs(normL2Sqr(intersection[minI] - intersection[minJ]) - minD) < 1e-6_rotatedRectangleIntersectionvoid cv::fitLine(cv::InputArray, cv::OutputArray, int, double, double, double)/Users/runner/work/opencv/opencv/modules/imgproc/src/linefit.cppnpoints2 >= 0 || npoints3 >= 0fitLinecvFitLineUnknown distance typefitLine2DfitLine2D_wodsUnknown distancefitLine3DfitLine3D_wods_scale > 0 && _sigma_scale > 0 && _quant >= 0 && _ang_th > 0 && _ang_th < 180 && _density_th >= 0 && _density_th < 1 && _n_bins > 0LineSegmentDetectorImpl/Users/runner/work/opencv/opencv/modules/imgproc/src/lsd.cppvirtual void cv::LineSegmentDetectorImpl::detect(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray)!image.empty() && image.type() == CV_8UC1detectregion2rect!(double_equal(Ixx, 0) && double_equal(Iyy, 0) && double_equal(Ixy, 0))get_thetarefineleftmost != NULLrect_nfarightmost != NULLvirtual void cv::LineSegmentDetectorImpl::drawSegments(cv::InputOutputArray, cv::InputArray)!_image.empty() && (_image.channels() == 1 || _image.channels() == 3)drawSegments_lines.depth() == CV_32F || _lines.depth() == CV_32Svirtual int cv::LineSegmentDetectorImpl::compareSegments(const cv::Size &, cv::InputArray, cv::InputArray, cv::InputOutputArray)compareSegments_lines1.depth() == CV_32F || _lines1.depth() == CV_32S_lines2.depth() == CV_32F || _lines2.depth() == CV_32S_image.channels() == 3img.isContinuous() && I1.isContinuous() && I2.isContinuous()double cv::matchShapes(cv::InputArray, cv::InputArray, int, double)/Users/runner/work/opencv/opencv/modules/imgproc/src/matchcontours.cppmatchShapesvoid cv::cpu_baseline::medianBlur(const cv::Mat &, cv::Mat &, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/median_blur.simd.hppmedianBlursrc.depth() == CV_8U && (cn == 1 || cn == 3 || cn == 4)void cv::medianBlur(cv::InputArray, cv::OutputArray, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/median_blur.dispatch.cpp(ksize % 2 == 1) && (_src0.dims() <= 2 )void cv::cpu_baseline::medianBlur_8u_Om(const cv::Mat &, cv::Mat &, int)cn > 0 && cn <= 4medianBlur_8u_Omvoid cv::cpu_baseline::medianBlur_8u_O1(const cv::Mat &, cv::Mat &, int)medianBlur_8u_O1medianFilter%d_umedianFilter%d-D T=%s -D T1=%s -D T4=%s%d -D cn=%d -D USE_4OPT-D T=%s -D T1=%s -D cn=%dvoid cv::cpu_baseline::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinMax8u, VecOp = cv::cpu_baseline::(anonymous namespace)::MinMaxVec8u]void cv::cpu_baseline::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinMax16u, VecOp = cv::cpu_baseline::(anonymous namespace)::MinMaxVec16u]void cv::cpu_baseline::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinMax16s, VecOp = cv::cpu_baseline::(anonymous namespace)::MinMaxVec16s]void cv::cpu_baseline::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinMax32f, VecOp = cv::cpu_baseline::(anonymous namespace)::MinMaxVec32f]findMinEnclosingTriangle/Users/runner/work/opencv/opencv/modules/imgproc/src/min_enclosing_triangle.cppareEqualPoints(p, q) == falselineEquationDeterminedByPointsThe position of the vertex C on side B could not be determined, because the considered lines do not intersect.findVertexCOnSideBThe position of side B could not be determined, because gamma(b) could not be computed.updateSideBcv::Moments cv::moments(cv::InputArray, bool)/Users/runner/work/opencv/opencv/modules/imgproc/src/moments.cppInvalid image type (must be single-channel)momentsvoid cv::HuMoments(const cv::Moments &, double *)void cv::HuMoments(const cv::Moments &, cv::OutputArray)hu.isContinuous()HuMomentscvMomentscvGetSpatialMomentcvGetCentralMomentcvGetHuMoments-D TILE_SIZE=%d%s -D OP_MOMENTS_BINARYcontour.depth() == CV_32S || contour.depth() == CV_32FcontourMomentsPtr cv::cpu_baseline::getMorphologyRowFilter(int, int, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/morph.simd.hppop == MORPH_ERODE || op == MORPH_DILATEgetMorphologyRowFilterUnsupported data type (=%d)Ptr cv::cpu_baseline::getMorphologyColumnFilter(int, int, int, int)getMorphologyColumnFilterPtr cv::cpu_baseline::getMorphologyFilter(int, int, const cv::Mat &, cv::Point)getMorphologyFilterPtr cv::getMorphologyRowFilter(int, int, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/morph.dispatch.cppPtr cv::getMorphologyColumnFilter(int, int, int, int)Ptr cv::getMorphologyFilter(int, int, cv::InputArray, cv::Point)depth == CV_8U || depth == CV_16U || depth == CV_16S || depth == CV_32F || depth == CV_64FcreateMorphologyFiltershape == MORPH_RECT || shape == MORPH_CROSS || shape == MORPH_ELLIPSEgetStructuringElementvoid cv::erode(cv::InputArray, cv::OutputArray, cv::InputArray, cv::Point, int, int, const cv::Scalar &)erodevoid cv::dilate(cv::InputArray, cv::OutputArray, cv::InputArray, cv::Point, int, int, const cv::Scalar &)dilatevoid cv::morphologyEx(cv::InputArray, cv::OutputArray, int, cv::InputArray, cv::Point, int, int, const cv::Scalar &)morphologyExunknown morphological operationcols > 0 && rows > 0 && anchor.inside(cv::Rect(0,0,cols,rows)) && (shape != CV_SHAPE_CUSTOM || values != 0)cvCreateStructuringElementExcvReleaseStructuringElementcvErodecvDilatecvMorphologyExvoid cv::morphOp(int, cv::InputArray, cv::OutputArray, cv::InputArray, cv::Point, int, int, const cv::Scalar &)morphOpactual_op <= 3 || haveExtraMatocl_morphOpOPENCV_OPENCL_IMGPROC_MORPH_SPECIAL_KERNELPROCESS(%d,%d)OP_ERODEOP_DILATEOP_GRADIENTOP_TOPHATOP_BLACKHAT-D RADIUSX=%d -D RADIUSY=%d -D LSIZE0=%d -D LSIZE1=%d -D %s%s -D PROCESS_ELEMS=%s -D T=%s -D DEPTH_%d -D cn=%d -D T1=%s -D convertToWT=%s -D convertToT=%s -D ST=%s%s -D %smorphocl_morph3x3_8UC1-D PROCESS_ELEM_=%s -D %s%smorph3x3_8UC1_cols16_rows2ocl_morphSmall-D cn=%d -D ANCHOR_X=%d -D ANCHOR_Y=%d -D KERNEL_SIZE_X=%d -D KERNEL_SIZE_Y=%d -D PX_LOAD_VEC_SIZE=%d -D PX_LOAD_NUM_PX=%d -D DEPTH_%d -D PX_PER_WI_X=%d -D PX_PER_WI_Y=%d -D PRIV_DATA_WIDTH=%d -D %s -D %s -D PX_LOAD_X_ITERATIONS=%d -D PX_LOAD_Y_ITERATIONS=%d -D srcT=%s -D srcT1=%s -D dstT=srcT -D dstT1=srcT1 -D WT=%s -D WT1=%s -D convertToWT=%s -D convertToDstT=%s -D PX_LOAD_FLOAT_VEC_CONV=convert_%s -D PROCESS_ELEM_=%s -D %s%ssrcTsrcT1ocl_morphologyExvirtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowVec>]int cv::cpu_baseline::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowVec>]int cv::cpu_baseline::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowVec>]int cv::cpu_baseline::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowVec>]int cv::cpu_baseline::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowNoVec>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowNoVec]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowVec>]int cv::cpu_baseline::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowVec>]int cv::cpu_baseline::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowVec>]int cv::cpu_baseline::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowVec>]int cv::cpu_baseline::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphRowFilter, cv::cpu_baseline::(anonymous namespace)::MorphRowNoVec>::operator()(const uchar *, uchar *, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphRowNoVec]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>]int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]((size_t)_src[i] & (CV_SIMD_WIDTH-1)) == 0virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>]int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>]int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>]int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnNoVec]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>]int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>]int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>]int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>]int cv::cpu_baseline::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphColumnFilter, cv::cpu_baseline::(anonymous namespace)::MorphColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphColumnNoVec]_kernel.type() == CV_8UMorphFiltervirtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec>]int cv::cpu_baseline::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec>]int cv::cpu_baseline::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec>]int cv::cpu_baseline::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec>]int cv::cpu_baseline::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMin]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphNoVec>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MinOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphNoVec]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec>]int cv::cpu_baseline::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec>]int cv::cpu_baseline::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec>]int cv::cpu_baseline::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphVec>]int cv::cpu_baseline::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::cpu_baseline::(anonymous namespace)::VMax]virtual void cv::cpu_baseline::(anonymous namespace)::MorphFilter, cv::cpu_baseline::(anonymous namespace)::MorphNoVec>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::cpu_baseline::(anonymous namespace)::MaxOp, VecOp = cv::cpu_baseline::(anonymous namespace)::MorphNoVec]divSpectrums/Users/runner/work/opencv/opencv/modules/imgproc/src/phasecorr.cppdst.data != srcA.datadst.data != srcB.datacv::Point2d cv::phaseCorrelate(cv::InputArray, cv::InputArray, cv::InputArray, double *)src1.type() == src2.type()phaseCorrelatesrc1.type() == CV_32FC1 || src1.type() == CV_64FC1src1.type() == window.type()src1.size == window.sizevoid cv::createHanningWindow(cv::OutputArray, cv::Size, int)createHanningWindowwinSize.width > 1 && winSize.height > 1magSpectrumsweightedCentroidvoid cv::pyrDown(cv::InputArray, cv::OutputArray, const cv::Size &, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/pyramids.cppborderType != BORDER_CONSTANTpyrDownvoid cv::pyrUp(cv::InputArray, cv::OutputArray, const cv::Size &, int)borderType == BORDER_DEFAULTpyrUpvoid cv::buildPyramid(cv::InputArray, cv::OutputArrayOfArrays, int, int)buildPyramid_filter == CV_GAUSSIAN_5x5 && src.type() == dst.type()cvPyrDowncvPyrUpcvReleasePyramidThe number of extra layers must be non negativecvCreatePyramidThe buffer is too small to fit the pyramidssize.width > 0 && ssize.height > 0 && std::abs(dsize.width*2 - ssize.width) <= 2 && std::abs(dsize.height*2 - ssize.height) <= 2ocl_pyrDown-D T=%s -D FT=%s -D convertToT=%s -D convertToFT=%s%s -D T1=%s -D cn=%d -D kercn=%d -D fdepth=%d -D %s -D LOCAL_SIZE=%d-D T=%s -D FT=%s -D convertToT=%s -D convertToFT=%s%s -D T1=%s -D cn=%d -D LOCAL_SIZE=%dpyrUp_cols2pyrUp_unrolledpyrDown_std::abs(dsize.width - ssize.width*2) == dsize.width % 2 && std::abs(dsize.height - ssize.height*2) == dsize.height % 2pyrUp_void cv::hal::resize(int, const uchar *, size_t, int, int, uchar *, size_t, int, int, double, double, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/resize.cpp(dst_width > 0 && dst_height > 0) || (inv_scale_x > 0 && inv_scale_y > 0)func != 0 && cn <= 4ytab[k].di == dyvoid cv::resize(cv::InputArray, cv::OutputArray, cv::Size, double, double, int)cvResize/Users/runner/work/opencv/opencv/modules/core/include/opencv2/core/utils/buffer_area.private.hppalignment % sizeof(T) == 0(alignment & (alignment - 1)) == 0computeResizeAreaTab-D USE_SAMPLER -D depth=%d -D T=%s -D T1=%s -D convertToDT=%s -D cn=%dresizeSamplerresizeLN-D INTER_LINEAR -D depth=%d -D T=%s -D T1=%s -D WT=%s -D convertToWT=%s -D convertToDT=%s -D cn=%d -D INTER_RESIZE_COEF_BITS=%dresizeNN-D INTER_NEAREST -D T=%s -D T1=%s -D cn=%d-D INTER_AREA -D T=%s -D T1=%s -D WTV=%s -D convertToWTV=%s -D cn=%d -D convertToT=%s -D WT2V=%s -D convertToWT2V=%s -D INTER_AREA_FAST -D XSCALE=%d -D YSCALE=%d -D SCALE=%ffresizeAREA_FAST -D convertToT=%sresizeAREAksize <= MAX_ESIZEresizeGeneric_Invokercv::RotatedRect cv::minAreaRect(cv::InputArray)/Users/runner/work/opencv/opencv/modules/imgproc/src/rotcalipers.cppvoid cv::boxPoints(cv::RotatedRect, cv::OutputArray)orientation != 0rotatingCalipersvoid cv::getRectSubPix(cv::InputArray, cv::Size, cv::Point2f, cv::OutputArray, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/samplers.cppcn == 1 || cn == 3getRectSubPixUnsupported combination of input and output formatscvGetRectSubPixcvGetQuadrangleSubPixcvSampleLinerect.width <= win_size.widthadjustRectvoid cv::watershed(cv::InputArray, cv::InputOutputArray)/Users/runner/work/opencv/opencv/modules/imgproc/src/segmentation.cppsrc.type() == CV_8UC3 && dst.type() == CV_32SC1watershed0 <= idx && idx <= 2550 <= t && t <= 255void cv::pyrMeanShiftFiltering(cv::InputArray, cv::OutputArray, double, double, int, cv::TermCriteria)The number of pyramid levels is too large or negativepyrMeanShiftFilteringOnly 8-bit, 3-channel images are supportedThe input and output images must have the same typeThe input and output images must have the same sizevoid cv::minEnclosingCircle(cv::InputArray, cv::Point2f &, float &)/Users/runner/work/opencv/opencv/modules/imgproc/src/shapedescr.cppcount >= 0 && (depth == CV_32F || depth == CV_32S)minEnclosingCircledouble cv::arcLength(cv::InputArray, bool)arcLengthdouble cv::contourArea(cv::InputArray, bool)npoints >= 0 && (depth == CV_32F || depth == CV_32S)contourAreacv::RotatedRect cv::fitEllipse(cv::InputArray)n >= 0 && (depth == CV_32F || depth == CV_32S)fitEllipseAMSThere should be at least 5 points to fit the ellipsefitEllipseDirectcv::Rect cv::boundingRect(cv::InputArray)cvContourAreaOnly curves with integer coordinates are supported in case of contour slicecvArcLengthcvBoundingRectThe image/matrix format is not supported by the functioncv::RotatedRect cv::fitEllipseNoDirect(cv::InputArray)fitEllipseNoDirectimg.depth() <= CV_8S && img.channels() == 1maskBoundingRectpointSetBoundingRectcontour != NULL && CV_IS_SEQ_POINT_SET( contour )icvContourSecArea(*buf1 != NULL || *buf2 != NULL) && *buf3 != NULLicvMemCopycv::Mat cv::getGaussianKernel(int, double, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/smooth.dispatch.cppktypevoid cv::GaussianBlur(cv::InputArray, cv::OutputArray, cv::Size, double, double, int)GaussianBlurOPENCV_GAUSSIANBLUR_CHECK_BITEXACT_KERNELSGaussianBlur: bit-exact fx kernel can't be applied: ksize= sigma=GaussianBlur: bit-exact fy kernel can't be applied: ksize=GaussianBlur: running bit-exact version...dst.size() == src.size() && (smooth_type == CV_BLUR_NO_SCALE || dst.type() == src.type())cvSmoothThe destination image does not have the proper typegetGaussianKernelBitExactgaussianBlur3x3_8UC1_cols16_rows2gaussianBlur5x5_8UC1_cols4void cv::cpu_baseline::GaussianBlurFixedPointImpl(const cv::Mat &, cv::Mat &, const RFT *, int, const RFT *, int, int) [RFT = unsigned short, ET = unsigned char, FT = cv::(anonymous namespace)::ufixedpoint16]/Users/runner/work/opencv/opencv/modules/imgproc/src/smooth.simd.hppsrc.depth() == DataType::depth && ((borderType & BORDER_ISOLATED) || !src.isSubmatrix())GaussianBlurFixedPointImplvoid cv::cpu_baseline::GaussianBlurFixedPointImpl(const cv::Mat &, cv::Mat &, const RFT *, int, const RFT *, int, int) [RFT = unsigned int, ET = unsigned short, FT = cv::(anonymous namespace)::ufixedpoint32]ksize.width > 0 && ksize.width % 2 == 1 && ksize.height > 0 && ksize.height % 2 == 1createGaussianKernelsgetGaussianKernelFixedPoint_EDvoid cv::spatialGradient(cv::InputArray, cv::OutputArray, cv::OutputArray, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/spatialgradient.cppspatialGradientborderType == BORDER_DEFAULT || borderType == BORDER_REPLICATEint cv::Subdiv2D::locate(cv::Point2f, int &, int &)/Users/runner/work/opencv/opencv/modules/imgproc/src/subdivision2d.cppSubdivision is emptylocateint cv::Subdiv2D::insert(cv::Point2f)insertSubdiv2D::locate returned invalid location = %dvoid cv::Subdiv2D::insert(const std::vector &)void cv::Subdiv2D::initDelaunay(cv::Rect)int cv::Subdiv2D::findNearest(cv::Point2f, cv::Point2f *)edgeDst(edge, &t) > 0findNearestedgeOrg( edge, &t ) > 0edgeOrg(e) == edgeOrg(o_next)checkSubdivedgeOrg(e) == edgeOrg(o_prev)edgeDst(e) == edgeDst(d_next)edgeDst(e) == edgeDst(d_prev)edgeDst(o_next) == edgeOrg(d_prev)edgeDst(o_prev) == edgeOrg(d_next)getEdge(getEdge(getEdge(e,NEXT_AROUND_LEFT),NEXT_AROUND_LEFT),NEXT_AROUND_LEFT) == egetEdge(getEdge(getEdge(e,NEXT_AROUND_RIGHT),NEXT_AROUND_RIGHT),NEXT_AROUND_RIGHT) == ebool cv::hal::cpu_baseline::integral_SIMD(int, int, int, const uchar *, size_t, uchar *, size_t, uchar *, size_t, uchar *, size_t, int, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/sumpixels.simd.hppvoid cv::hal::integral(int, int, int, const uchar *, size_t, uchar *, size_t, uchar *, size_t, uchar *, size_t, int, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/sumpixels.dispatch.cppintegralvoid cv::integral(cv::InputArray, cv::OutputArray, cv::OutputArray, cv::OutputArray, int, int)void cv::integral(cv::InputArray, cv::OutputArray, int)void cv::integral(cv::InputArray, cv::OutputArray, cv::OutputArray, int, int)sum.data == sum0.data && sqsum.data == sqsum0.data && tilted.data == tilted0.datacvIntegralbool cv::hal::integral_SIMD(int, int, int, const uchar *, size_t, uchar *, size_t, uchar *, size_t, uchar *, size_t, int, int, int)-D SUM_SQUARE -D sumT=%s -D sumSQT=%s -D LOCAL_SUM_SIZE=%d%sintegral_sum_colsintegral_sum_rows-D sumT=%s -D LOCAL_SUM_SIZE=%d%sthe input arrays are too big/Users/runner/work/opencv/opencv/modules/imgproc/src/templmatch.cppimg.dims <= 2 && templ.dims <= 2 && corr.dims <= 2crossCorrdepth == tdepth || tdepth == CV_32Fcorr.rows <= img.rows + templ.rows - 1 && corr.cols <= img.cols + templ.cols - 1ccn == 1 || delta == 0void cv::matchTemplate(cv::InputArray, cv::InputArray, cv::OutputArray, int, cv::InputArray)CV_TM_SQDIFF <= method && method <= CV_TM_CCOEFF_NORMEDmatchTemplate(depth == CV_8U || depth == CV_32F) && type == _templ.type() && _img.dims() <= 2_img.size().height <= _templ.size().height && _img.size().width <= _templ.size().widthresult.size() == cv::Size(std::abs(img.cols - templ.cols) + 1, std::abs(img.rows - templ.rows) + 1) && result.type() == CV_32FcvMatchTemplate_mask.depth() == CV_8U || _mask.depth() == CV_32FmatchTemplateMask_mask.channels() == _templ.channels() || _mask.channels() == 1_templ.size() == _mask.size()_img.size().height >= _templ.size().height && _img.size().width >= _templ.size().widthmatchTemplate_Prepared_SQDIFF-D SQDIFF_PREPARED -D T=%s -D cn=%dmatchTemplate_Naive_SQDIFF-D SQDIFF -D T=%s -D T1=%s -D WT=%s -D convertToWT=%s -D cn=%dcalcSum-D CALC_SUM -D T=%s -D T1=%s -D WT=%s -D cn=%d -D convertToWT=%s -D WGS=%d -D WGS2_ALIGNED=%dmatchTemplate_SQDIFF_NORMED-D SQDIFF_NORMED -D T=%s -D cn=%dmatchTemplate_Naive_CCORR-D CCORR -D T=%s -D T1=%s -D WT=%s -D WT1=%s -D convertToWT=%s -D convertToWT1=%s -D cn=%d -D PIX_PER_WI_X=%d_image.type() == CV_32Fconvolve_dft_templ.type() == CV_32FextractFirstChannel-D FIRST_CHANNEL -D T1=%s -D cn=%d -D PIX_PER_WI_Y=%dmatchTemplate_CCORR_NORMED-D CCORR_NORMED -D T=%s -D cn=%dmatchTemplate_Prepared_CCOEFF-D CCOEFF -D T=%s -D T1=%s -D cn=%dmatchTemplate_CCOEFF_NORMED-D CCOEFF_NORMED -D T=%s -D T1=%s -D cn=%dsqsum.data != NULLcommon_matchTemplatesum.data != NULLdouble cv::threshold(cv::InputArray, cv::OutputArray, double, double, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/thresh.cppautomatic_thresh != (CV_THRESH_OTSU | CV_THRESH_TRIANGLE)thresholdTHRESH_OTSU modesrc_typesrc_type == CV_8UC1 || src_type == CV_16UC1void cv::adaptiveThreshold(cv::InputArray, cv::OutputArray, double, int, int, int, double)adaptiveThresholdblockSize % 2 == 1 && blockSize > 1Unknown/unsupported adaptive threshold methodUnknown/unsupported threshold typesrc.size == dst.size && src.channels() == dst.channels() && (src.depth() == dst.depth() || dst.depth() == CV_8U)cvThresholdcvAdaptiveThresholdTHRESH_BINARYTHRESH_BINARY_INVTHRESH_TRUNCTHRESH_TOZEROTHRESH_TOZERO_INV-D %s -D T=%s -D T1=%s -D STRIDE_SIZE=%d%sthresh_16sthresh_32fthresh_64farr != 0 && contour_header != 0 && block != 0cvPointSeqFromMat/Users/runner/work/opencv/opencv/modules/imgproc/src/utils.cppInput array is not a valid matrixThe matrix can not be converted to point sequence because of inappropriate element typeThe matrix converted to point sequence must be 1-dimensional and continuouscvCopyMakeBorderimgproc#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define SRC_TSIZE cn * (int)sizeof(srcT1) #define DST_TSIZE cn * (int)sizeof(dstT1) #define noconvert __kernel void accumulate(__global const uchar * srcptr, int src_step, int src_offset, #ifdef ACCUMULATE_PRODUCT __global const uchar * src2ptr, int src2_step, int src2_offset, #endif __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols #ifdef ACCUMULATE_WEIGHTED , dstT1 alpha #endif #ifdef HAVE_MASK , __global const uchar * mask, int mask_step, int mask_offset #endif ) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < dst_cols) { int src_index = mad24(y, src_step, mad24(x, SRC_TSIZE, src_offset)); #ifdef HAVE_MASK int mask_index = mad24(y, mask_step, mask_offset + x); mask += mask_index; #endif #ifdef ACCUMULATE_PRODUCT int src2_index = mad24(y, src2_step, mad24(x, SRC_TSIZE, src2_offset)); #endif int dst_index = mad24(y, dst_step, mad24(x, DST_TSIZE, dst_offset)); #pragma unroll for (int i = 0; i < rowsPerWI; ++i) if (y < dst_rows) { __global const srcT1 * src = (__global const srcT1 *)(srcptr + src_index); #ifdef ACCUMULATE_PRODUCT __global const srcT1 * src2 = (__global const srcT1 *)(src2ptr + src2_index); #endif __global dstT1 * dst = (__global dstT1 *)(dstptr + dst_index); #ifdef HAVE_MASK if (mask[0]) #endif #pragma unroll for (int c = 0; c < cn; ++c) { #ifdef ACCUMULATE dst[c] += convertToDT(src[c]); #elif defined ACCUMULATE_SQUARE dstT1 val = convertToDT(src[c]); dst[c] = fma(val, val, dst[c]); #elif defined ACCUMULATE_PRODUCT dst[c] = fma(convertToDT(src[c]), convertToDT(src2[c]), dst[c]); #elif defined ACCUMULATE_WEIGHTED dst[c] = fma(1 - alpha, dst[c], src[c] * alpha); #else #error "Unknown accumulation type" #endif } src_index += src_step; #ifdef ACCUMULATE_PRODUCT src2_index += src2_step; #endif #ifdef HAVE_MASK mask += mask_step; #endif dst_index += dst_step; ++y; } } } 5f2c2d40f721d738ad2b8ef755376c6f#if cn != 3 #define loadpix(addr) *(__global const uchar_t *)(addr) #define storepix(val, addr) *(__global uchar_t *)(addr) = val #define TSIZE cn #else #define loadpix(addr) vload3(0, (__global const uchar *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global uchar *)(addr)) #define TSIZE 3 #endif #if cn == 1 #define SUM(a) a #elif cn == 2 #define SUM(a) a.x + a.y #elif cn == 3 #define SUM(a) a.x + a.y + a.z #elif cn == 4 #define SUM(a) a.x + a.y + a.z + a.w #else #error "cn should be <= 4" #endif __kernel void bilateral(__global const uchar * src, int src_step, int src_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant float * space_weight, __constant int * space_ofs) { int x = get_global_id(0); int y = get_global_id(1); if (y < dst_rows && x < dst_cols) { int src_index = mad24(y + radius, src_step, mad24(x + radius, TSIZE, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, TSIZE, dst_offset)); float_t sum = (float_t)(0.0f); float wsum = 0.0f; #ifdef INTEL_DEVICE float_t val0 = convert_float_t(loadpix(src + src_index)); #else int_t val0 = convert_int_t(loadpix(src + src_index)); #endif #pragma unroll for (int k = 0; k < maxk; k++ ) { #ifdef INTEL_DEVICE float_t val = convert_float_t(loadpix(src + src_index + space_ofs[k])); float diff = SUM(fabs(val - val0)); #else int_t val = convert_int_t(loadpix(src + src_index + space_ofs[k])); int diff = SUM(abs(val - val0)); #endif float w = space_weight[k] * native_exp((float)(diff * diff * gauss_color_coeff)); sum += convert_float_t(val) * (float_t)(w); wsum += w; } storepix(convert_uchar_t(sum / (float_t)(wsum)), dst + dst_index); } } #ifdef INTEL_DEVICE #if cn == 1 __kernel void bilateral_float4(__global const uchar * src, int src_step, int src_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant float * space_weight, __constant int * space_ofs) { int x = get_global_id(0); int y = get_global_id(1); if (y < dst_rows && x < dst_cols / 4 ) { int src_index = ((y + radius) * src_step) + x * 4 + (radius + src_offset); int dst_index = (y * dst_step) + x * 4 + dst_offset ; float4 sum = 0.f, wsum = 0.f; float4 val0 = convert_float4(vload4(0, src + src_index)); #pragma unroll for (int k = 0; k < maxk; k++ ) { float4 val = convert_float4(vload4(0, src + src_index + space_ofs[k])); float4 w = space_weight[k] * native_exp((val - val0) * (val - val0) * gauss_color_coeff); sum += val * w; wsum += w; } sum = sum / wsum + .5f; vstore4(convert_uchar4_rtz(sum), 0, dst + dst_index); } } #endif #endif 1cc12569fdb93cbfa05bb215d3d42e64blend_linear#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define noconvert __kernel void blendLinear(__global const uchar * src1ptr, int src1_step, int src1_offset, __global const uchar * src2ptr, int src2_step, int src2_offset, __global const uchar * weight1, int weight1_step, int weight1_offset, __global const uchar * weight2, int weight2_step, int weight2_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { int src1_index = mad24(y, src1_step, src1_offset + x * cn * (int)sizeof(T)); int src2_index = mad24(y, src2_step, src2_offset + x * cn * (int)sizeof(T)); int weight1_index = mad24(y, weight1_step, weight1_offset + x * (int)sizeof(float)); int weight2_index = mad24(y, weight2_step, weight2_offset + x * (int)sizeof(float)); int dst_index = mad24(y, dst_step, dst_offset + x * cn * (int)sizeof(T)); float w1 = *(__global const float *)(weight1 + weight1_index), w2 = *(__global const float *)(weight2 + weight2_index); float den = w1 + w2 + 1e-5f; __global const T * src1 = (__global const T *)(src1ptr + src1_index); __global const T * src2 = (__global const T *)(src2ptr + src2_index); __global T * dst = (__global T *)(dstptr + dst_index); #pragma unroll for (int i = 0; i < cn; ++i) { float num = w1 * convert_float(src1[i]) + w2 * convert_float(src2[i]); dst[i] = convertToT(num / den); } } } 76072b51c3ede4951ee0200aa33297dc#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if cn != 3 #define loadpix(addr) *(__global const ST *)(addr) #define storepix(val, addr) *(__global DT *)(addr) = val #define SRCSIZE (int)sizeof(ST) #define DSTSIZE (int)sizeof(DT) #else #define loadpix(addr) vload3(0, (__global const ST1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global DT1 *)(addr)) #define SRCSIZE (int)sizeof(ST1)*cn #define DSTSIZE (int)sizeof(DT1)*cn #endif #ifdef BORDER_CONSTANT #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) \ { \ x = max(min(x, maxX - 1), minX); \ y = max(min(y, maxY - 1), minY); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) \ { \ if (x < minX) \ x -= ((x - maxX + 1) / maxX) * maxX; \ if (x >= maxX) \ x %= maxX; \ if (y < minY) \ y -= ((y - maxY + 1) / maxY) * maxY; \ if (y >= maxY) \ y %= maxY; \ } #elif defined(BORDER_REFLECT) || defined(BORDER_REFLECT_101) #define EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, delta) \ { \ if (maxX - minX == 1) \ x = minX; \ else \ do \ { \ if (x < minX) \ x = minX - (x - minX) - 1 + delta; \ else \ x = maxX - 1 - (x - maxX) - delta; \ } \ while (x >= maxX || x < minX); \ \ if (maxY - minY == 1) \ y = minY; \ else \ do \ { \ if (y < minY) \ y = minY - (y - minY) - 1 + delta; \ else \ y = maxY - 1 - (y - maxY) - delta; \ } \ while (y >= maxY || y < minY); \ } #ifdef BORDER_REFLECT #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, 0) #elif defined(BORDER_REFLECT_101) #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, 1) #endif #else #error No extrapolation method #endif #define noconvert #ifdef SQR #define PROCESS_ELEM(value) (value * value) #else #define PROCESS_ELEM(value) value #endif struct RectCoords { int x1, y1, x2, y2; }; inline WT readSrcPixel(int2 pos, __global const uchar * srcptr, int src_step, const struct RectCoords srcCoords) { #ifdef BORDER_ISOLATED if (pos.x >= srcCoords.x1 && pos.y >= srcCoords.y1 && pos.x < srcCoords.x2 && pos.y < srcCoords.y2) #else if (pos.x >= 0 && pos.y >= 0 && pos.x < srcCoords.x2 && pos.y < srcCoords.y2) #endif { int src_index = mad24(pos.y, src_step, pos.x * SRCSIZE); WT value = convertToWT(loadpix(srcptr + src_index)); return PROCESS_ELEM(value); } else { #ifdef BORDER_CONSTANT return (WT)(0); #else int selected_col = pos.x, selected_row = pos.y; EXTRAPOLATE(selected_col, selected_row, #ifdef BORDER_ISOLATED srcCoords.x1, srcCoords.y1, #else 0, 0, #endif srcCoords.x2, srcCoords.y2); int src_index = mad24(selected_row, src_step, selected_col * SRCSIZE); WT value = convertToWT(loadpix(srcptr + src_index)); return PROCESS_ELEM(value); #endif } } __kernel void boxFilter(__global const uchar * srcptr, int src_step, int srcOffsetX, int srcOffsetY, int srcEndX, int srcEndY, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols #ifdef NORMALIZE , float alpha #endif ) { const struct RectCoords srcCoords = { srcOffsetX, srcOffsetY, srcEndX, srcEndY }; int x = get_local_id(0) + (LOCAL_SIZE_X - (KERNEL_SIZE_X - 1)) * get_group_id(0) - ANCHOR_X; int y = get_global_id(1) * BLOCK_SIZE_Y; int local_id = get_local_id(0); WT data[KERNEL_SIZE_Y]; __local WT sumOfCols[LOCAL_SIZE_X]; int2 srcPos = (int2)(srcCoords.x1 + x, srcCoords.y1 + y - ANCHOR_Y); #pragma unroll for (int sy = 0; sy < KERNEL_SIZE_Y; sy++, srcPos.y++) data[sy] = readSrcPixel(srcPos, srcptr, src_step, srcCoords); WT tmp_sum = (WT)(0); #pragma unroll for (int sy = 0; sy < KERNEL_SIZE_Y; sy++) tmp_sum += data[sy]; sumOfCols[local_id] = tmp_sum; barrier(CLK_LOCAL_MEM_FENCE); int dst_index = mad24(y, dst_step, mad24(x, DSTSIZE, dst_offset)); __global DT * dst = (__global DT *)(dstptr + dst_index); int sy_index = 0; for (int i = 0, stepY = min(rows - y, BLOCK_SIZE_Y); i < stepY; ++i) { if (local_id >= ANCHOR_X && local_id < LOCAL_SIZE_X - (KERNEL_SIZE_X - 1 - ANCHOR_X) && x >= 0 && x < cols) { WT total_sum = (WT)(0); #pragma unroll for (int sx = 0; sx < KERNEL_SIZE_X; sx++) total_sum += sumOfCols[local_id + sx - ANCHOR_X]; #ifdef NORMALIZE DT dstval = convertToDT((WT)(alpha) * total_sum); #else DT dstval = convertToDT(total_sum); #endif storepix(dstval, dst); } barrier(CLK_LOCAL_MEM_FENCE); tmp_sum = sumOfCols[local_id]; tmp_sum -= data[sy_index]; data[sy_index] = readSrcPixel(srcPos, srcptr, src_step, srcCoords); srcPos.y++; tmp_sum += data[sy_index]; sumOfCols[local_id] = tmp_sum; sy_index = sy_index + 1 < KERNEL_SIZE_Y ? sy_index + 1 : 0; barrier(CLK_LOCAL_MEM_FENCE); dst = (__global DT *)((__global uchar *)dst + dst_step); } } d3e542270fa2ea1fc3744043dad50cb4boxFilter3x3__kernel void boxFilter3x3_8UC1_cols16_rows2(__global const uint* src, int src_step, __global uint* dst, int dst_step, int rows, int cols #ifdef NORMALIZE , float alpha #endif ) { int block_x = get_global_id(0); int y = get_global_id(1) * 2; int ssx, dsx; if ((block_x * 16) >= cols || y >= rows) return; uint4 line[4]; uint4 line_out[2]; ushort a; ushort16 b; ushort c; ushort d; ushort16 e; ushort f; ushort g; ushort16 h; ushort i; ushort j; ushort16 k; ushort l; ssx = dsx = 1; int src_index = block_x * 4 * ssx + (y - 1) * (src_step / 4); line[1] = vload4(0, src + src_index + (src_step / 4)); line[2] = vload4(0, src + src_index + 2 * (src_step / 4)); #ifdef BORDER_CONSTANT line[0] = (y == 0) ? (uint4)0 : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? (uint4)0 : vload4(0, src + src_index + 3 * (src_step / 4)); #elif defined BORDER_REFLECT_101 line[0] = (y == 0) ? line[2] : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? line[1] : vload4(0, src + src_index + 3 * (src_step / 4)); #elif defined (BORDER_REPLICATE) || defined(BORDER_REFLECT) line[0] = (y == 0) ? line[1] : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? line[2] : vload4(0, src + src_index + 3 * (src_step / 4)); #endif ushort16 sum, mid; __global uchar *src_p = (__global uchar *)src; src_index = block_x * 16 * ssx + (y - 1) * src_step; bool line_end = ((block_x + 1) * 16 == cols); b = convert_ushort16(as_uchar16(line[0])); e = convert_ushort16(as_uchar16(line[1])); h = convert_ushort16(as_uchar16(line[2])); k = convert_ushort16(as_uchar16(line[3])); #ifdef BORDER_CONSTANT a = (block_x == 0 || y == 0) ? 0 : convert_ushort(src_p[src_index - 1]); c = (line_end || y == 0) ? 0 : convert_ushort(src_p[src_index + 16]); d = (block_x == 0) ? 0 : convert_ushort(src_p[src_index + src_step - 1]); f = line_end ? 0 : convert_ushort(src_p[src_index + src_step + 16]); g = (block_x == 0) ? 0 : convert_ushort(src_p[src_index + 2 * src_step - 1]); i = line_end ? 0 : convert_ushort(src_p[src_index + 2 * src_step + 16]); j = (block_x == 0 || y == (rows - 2)) ? 0 : convert_ushort(src_p[src_index + 3 * src_step - 1]); l = (line_end || y == (rows - 2))? 0 : convert_ushort(src_p[src_index + 3 * src_step + 16]); #elif defined BORDER_REFLECT_101 int offset; offset = (y == 0) ? (2 * src_step) : 0; a = (block_x == 0) ? convert_ushort(src_p[src_index + offset + 1]) : convert_ushort(src_p[src_index + offset - 1]); c = line_end ? convert_ushort(src_p[src_index + offset + 14]) : convert_ushort(src_p[src_index + offset + 16]); d = (block_x == 0) ? convert_ushort(src_p[src_index + src_step + 1]) : convert_ushort(src_p[src_index + src_step - 1]); f = line_end ? convert_ushort(src_p[src_index + src_step + 14]) : convert_ushort(src_p[src_index + src_step + 16]); g = (block_x == 0) ? convert_ushort(src_p[src_index + 2 * src_step + 1]) : convert_ushort(src_p[src_index + 2 * src_step - 1]); i = line_end ? convert_ushort(src_p[src_index + 2 * src_step + 14]) : convert_ushort(src_p[src_index + 2 * src_step + 16]); offset = (y == (rows - 2)) ? (1 * src_step) : (3 * src_step); j = (block_x == 0) ? convert_ushort(src_p[src_index + offset + 1]) : convert_ushort(src_p[src_index + offset - 1]); l = line_end ? convert_ushort(src_p[src_index + offset + 14]) : convert_ushort(src_p[src_index + offset + 16]); #elif defined (BORDER_REPLICATE) || defined(BORDER_REFLECT) int offset; offset = (y == 0) ? (1 * src_step) : 0; a = (block_x == 0) ? convert_ushort(src_p[src_index + offset]) : convert_ushort(src_p[src_index + offset - 1]); c = line_end ? convert_ushort(src_p[src_index + offset + 15]) : convert_ushort(src_p[src_index + offset + 16]); d = (block_x == 0) ? convert_ushort(src_p[src_index + src_step]) : convert_ushort(src_p[src_index + src_step - 1]); f = line_end ? convert_ushort(src_p[src_index + src_step + 15]) : convert_ushort(src_p[src_index + src_step + 16]); g = (block_x == 0) ? convert_ushort(src_p[src_index + 2 * src_step]) : convert_ushort(src_p[src_index + 2 * src_step - 1]); i = line_end ? convert_ushort(src_p[src_index + 2 * src_step + 15]) : convert_ushort(src_p[src_index + 2 * src_step + 16]); offset = (y == (rows - 2)) ? (2 * src_step) : (3 * src_step); j = (block_x == 0) ? convert_ushort(src_p[src_index + offset]) : convert_ushort(src_p[src_index + offset - 1]); l = line_end ? convert_ushort(src_p[src_index + offset + 15]) : convert_ushort(src_p[src_index + offset + 16]); #endif mid = (ushort16)(d, e.s0123, e.s456789ab, e.scde) + e + (ushort16)(e.s123, e.s4567, e.s89abcdef, f) + (ushort16)(g, h.s0123, h.s456789ab, h.scde) + h + (ushort16)(h.s123, h.s4567, h.s89abcdef, i); sum = (ushort16)(a, b.s0123, b.s456789ab, b.scde) + b + (ushort16)(b.s123, b.s4567, b.s89abcdef, c) + mid; #ifdef NORMALIZE line_out[0] = as_uint4(convert_uchar16_sat_rte((convert_float16(sum) * alpha))); #else line_out[0] = as_uint4(convert_uchar16_sat_rte(sum)); #endif sum = mid + (ushort16)(j, k.s0123, k.s456789ab, k.scde) + k + (ushort16)(k.s123, k.s4567, k.s89abcdef, l); #ifdef NORMALIZE line_out[1] = as_uint4(convert_uchar16_sat_rte((convert_float16(sum) * alpha))); #else line_out[1] = as_uint4(convert_uchar16_sat_rte(sum)); #endif int dst_index = block_x * 4 * dsx + y * (dst_step / 4); vstore4(line_out[0], 0, dst + dst_index); vstore4(line_out[1], 0, dst + dst_index + (dst_step / 4)); } 72a31e7e412911731db2747210c1b3d4calc_back_project#define OUT_OF_RANGE -1 #define ROUNDING_EPS 0.000001f #if histdims == 1 __kernel void calcLUT(__global const uchar * histptr, int hist_step, int hist_offset, int hist_bins, __global int * lut, float scale, __constant float * ranges) { int x = get_global_id(0); float value = convert_float(x); if (value > ranges[1] || value < ranges[0]) lut[x] = OUT_OF_RANGE; else { float lb = ranges[0], ub = ranges[1], gap = (ub - lb) / hist_bins; value -= lb; int bin = convert_int_sat_rtn(value / gap + ROUNDING_EPS); if (bin >= hist_bins) lut[x] = OUT_OF_RANGE; else { int hist_index = mad24(hist_step, bin, hist_offset); __global const float * hist = (__global const float *)(histptr + hist_index); lut[x] = (int)convert_uchar_sat_rte(hist[0] * scale); } } } __kernel void LUT(__global const uchar * src, int src_step, int src_offset, __constant int * lut, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { int src_index = mad24(y, src_step, src_offset + x * scn); int dst_index = mad24(y, dst_step, dst_offset + x); int value = lut[src[src_index]]; dst[dst_index] = value == OUT_OF_RANGE ? 0 : convert_uchar(value); } } #elif histdims == 2 __kernel void calcLUT(int hist_bins, __global int * lut, int lut_offset, __constant float * ranges, int roffset) { int x = get_global_id(0); float value = convert_float(x); ranges += roffset; lut += lut_offset; if (value > ranges[1] || value < ranges[0]) lut[x] = OUT_OF_RANGE; else { float lb = ranges[0], ub = ranges[1], gap = (ub - lb) / hist_bins; value -= lb; int bin = convert_int_sat_rtn(value / gap + ROUNDING_EPS); lut[x] = bin >= hist_bins ? OUT_OF_RANGE : bin; } } __kernel void LUT(__global const uchar * src1, int src1_step, int src1_offset, __global const uchar * src2, int src2_step, int src2_offset, __global const uchar * histptr, int hist_step, int hist_offset, __constant int * lut, float scale, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { int src1_index = mad24(y, src1_step, src1_offset + x * scn1); int src2_index = mad24(y, src2_step, src2_offset + x * scn2); int dst_index = mad24(y, dst_step, dst_offset + x); int bin1 = lut[src1[src1_index]]; int bin2 = lut[src2[src2_index] + 256]; dst[dst_index] = bin1 == OUT_OF_RANGE || bin2 == OUT_OF_RANGE ? 0 : convert_uchar_sat_rte(*(__global const float *)(histptr + mad24(hist_step, bin1, hist_offset + bin2 * (int)sizeof(float))) * scale); } } #else #error "(nimages <= 2) should be true" #endif 6bab391f796ff5b2ba3d38f23929307ecanny#define TG22 0.4142135623730950488016887242097f #define TG67 2.4142135623730950488016887242097f #ifdef WITH_SOBEL #if cn == 1 #define loadpix(addr) convert_floatN(*(__global const TYPE *)(addr)) #else #define loadpix(addr) convert_floatN(vload3(0, (__global const TYPE *)(addr))) #endif #define storepix(value, addr) *(__global int *)(addr) = (int)(value) __constant int prev[4][2] = { { 0, -1 }, { -1, 1 }, { -1, 0 }, { -1, -1 } }; __constant int next[4][2] = { { 0, 1 }, { 1, -1 }, { 1, 0 }, { 1, 1 } }; inline float3 sobel(int idx, __local const floatN *smem) { float3 res; floatN dx = fma((floatN)2, smem[idx + GRP_SIZEX + 6] - smem[idx + GRP_SIZEX + 4], smem[idx + 2] - smem[idx] + smem[idx + 2 * GRP_SIZEX + 10] - smem[idx + 2 * GRP_SIZEX + 8]); floatN dy = fma((floatN)2, smem[idx + 1] - smem[idx + 2 * GRP_SIZEX + 9], smem[idx + 2] - smem[idx + 2 * GRP_SIZEX + 10] + smem[idx] - smem[idx + 2 * GRP_SIZEX + 8]); #ifdef L2GRAD floatN magN = fma(dx, dx, dy * dy); #else floatN magN = fabs(dx) + fabs(dy); #endif #if cn == 1 res.z = magN; res.x = dx; res.y = dy; #else res.z = max(magN.x, max(magN.y, magN.z)); if (res.z == magN.y) { dx.x = dx.y; dy.x = dy.y; } else if (res.z == magN.z) { dx.x = dx.z; dy.x = dy.z; } res.x = dx.x; res.y = dy.x; #endif return res; } __kernel void stage1_with_sobel(__global const uchar *src, int src_step, int src_offset, int rows, int cols, __global uchar *map, int map_step, int map_offset, float low_thr, float high_thr) { __local floatN smem[(GRP_SIZEX + 4) * (GRP_SIZEY + 4)]; int lidx = get_local_id(0); int lidy = get_local_id(1); int start_x = GRP_SIZEX * get_group_id(0); int start_y = GRP_SIZEY * get_group_id(1); int i = lidx + lidy * GRP_SIZEX; for (int j = i; j < (GRP_SIZEX + 4) * (GRP_SIZEY + 4); j += GRP_SIZEX * GRP_SIZEY) { int x = clamp(start_x - 2 + (j % (GRP_SIZEX + 4)), 0, cols - 1); int y = clamp(start_y - 2 + (j / (GRP_SIZEX + 4)), 0, rows - 1); smem[j] = loadpix(src + mad24(y, src_step, mad24(x, cn * (int)sizeof(TYPE), src_offset))); } barrier(CLK_LOCAL_MEM_FENCE); __local float mag[(GRP_SIZEX + 2) * (GRP_SIZEY + 2)]; lidx++; lidy++; if (i < GRP_SIZEX + 2) { int grp_sizey = min(GRP_SIZEY + 1, rows - start_y); mag[i] = (sobel(i, smem)).z; mag[i + grp_sizey * (GRP_SIZEX + 2)] = (sobel(i + grp_sizey * (GRP_SIZEX + 4), smem)).z; } if (i < GRP_SIZEY + 2) { int grp_sizex = min(GRP_SIZEX + 1, cols - start_x); mag[i * (GRP_SIZEX + 2)] = (sobel(i * (GRP_SIZEX + 4), smem)).z; mag[i * (GRP_SIZEX + 2) + grp_sizex] = (sobel(i * (GRP_SIZEX + 4) + grp_sizex, smem)).z; } int idx = lidx + lidy * (GRP_SIZEX + 4); i = lidx + lidy * (GRP_SIZEX + 2); float3 res = sobel(idx, smem); mag[i] = res.z; barrier(CLK_LOCAL_MEM_FENCE); int x = (int) res.x; int y = (int) res.y; int gidx = get_global_id(0); int gidy = get_global_id(1); if (gidx >= cols || gidy >= rows) return; float mag0 = mag[i]; int value = 1; if (mag0 > low_thr) { float x_ = abs(x); float y_ = abs(y); int a = (y_ * TG22 >= x_) ? 2 : 1; int b = (y_ * TG67 >= x_) ? 1 : 0; int dir3 = (a * b) & (((x ^ y) & 0x80000000) >> 31); int dir = a * b + 2 * dir3; float prev_mag = mag[(lidy + prev[dir][0]) * (GRP_SIZEX + 2) + lidx + prev[dir][1]]; float next_mag = mag[(lidy + next[dir][0]) * (GRP_SIZEX + 2) + lidx + next[dir][1]] + (dir & 1); if (mag0 > prev_mag && mag0 >= next_mag) { value = (mag0 > high_thr) ? 2 : 0; } } storepix(value, map + mad24(gidy, map_step, mad24(gidx, (int)sizeof(int), map_offset))); } #elif defined WITHOUT_SOBEL #define loadpix(addr) (__global short *)(addr) #define storepix(val, addr) *(__global int *)(addr) = (int)(val) #ifdef L2GRAD #define dist(x, y) ((int)(x) * (x) + (int)(y) * (y)) #else #define dist(x, y) (abs((int)(x)) + abs((int)(y))) #endif __constant int prev[4][2] = { { 0, -1 }, { -1, -1 }, { -1, 0 }, { -1, 1 } }; __constant int next[4][2] = { { 0, 1 }, { 1, 1 }, { 1, 0 }, { 1, -1 } }; __kernel void stage1_without_sobel(__global const uchar *dxptr, int dx_step, int dx_offset, __global const uchar *dyptr, int dy_step, int dy_offset, __global uchar *map, int map_step, int map_offset, int rows, int cols, int low_thr, int high_thr) { int start_x = get_group_id(0) * GRP_SIZEX; int start_y = get_group_id(1) * GRP_SIZEY; int lidx = get_local_id(0); int lidy = get_local_id(1); __local int mag[(GRP_SIZEX + 2) * (GRP_SIZEY + 2)]; __local short2 sigma[(GRP_SIZEX + 2) * (GRP_SIZEY + 2)]; #pragma unroll for (int i = lidx + lidy * GRP_SIZEX; i < (GRP_SIZEX + 2) * (GRP_SIZEY + 2); i += GRP_SIZEX * GRP_SIZEY) { int x = clamp(start_x - 1 + i % (GRP_SIZEX + 2), 0, cols - 1); int y = clamp(start_y - 1 + i / (GRP_SIZEX + 2), 0, rows - 1); int dx_index = mad24(y, dx_step, mad24(x, cn * (int)sizeof(short), dx_offset)); int dy_index = mad24(y, dy_step, mad24(x, cn * (int)sizeof(short), dy_offset)); __global short *dx = loadpix(dxptr + dx_index); __global short *dy = loadpix(dyptr + dy_index); int mag0 = dist(dx[0], dy[0]); #if cn > 1 short cdx = dx[0], cdy = dy[0]; #pragma unroll for (int j = 1; j < cn; ++j) { int mag1 = dist(dx[j], dy[j]); if (mag1 > mag0) { mag0 = mag1; cdx = dx[j]; cdy = dy[j]; } } dx[0] = cdx; dy[0] = cdy; #endif mag[i] = mag0; sigma[i] = (short2)(dx[0], dy[0]); } barrier(CLK_LOCAL_MEM_FENCE); int gidx = get_global_id(0); int gidy = get_global_id(1); if (gidx >= cols || gidy >= rows) return; lidx++; lidy++; int mag0 = mag[lidx + lidy * (GRP_SIZEX + 2)]; short x = (sigma[lidx + lidy * (GRP_SIZEX + 2)]).x; short y = (sigma[lidx + lidy * (GRP_SIZEX + 2)]).y; int value = 1; if (mag0 > low_thr) { float x_ = abs(x); float y_ = abs(y); int a = (y_ * TG22 >= x_) ? 2 : 1; int b = (y_ * TG67 >= x_) ? 1 : 0; int dir3 = (a * b) & (((x ^ y) & 0x80000000) >> 31); int dir = a * b + 2 * dir3; int prev_mag = mag[(lidy + prev[dir][0]) * (GRP_SIZEX + 2) + lidx + prev[dir][1]]; int next_mag = mag[(lidy + next[dir][0]) * (GRP_SIZEX + 2) + lidx + next[dir][1]] + (dir & 1); if (mag0 > prev_mag && mag0 >= next_mag) { value = (mag0 > high_thr) ? 2 : 0; } } storepix(value, map + mad24(gidy, map_step, mad24(gidx, (int)sizeof(int), map_offset))); } #undef TG22 #undef CANNY_SHIFT #elif defined STAGE2 #define loadpix(addr) *(__global int *)(addr) #define storepix(val, addr) *(__global int *)(addr) = (int)(val) #define LOCAL_TOTAL (LOCAL_X*LOCAL_Y) #define l_stack_size (4*LOCAL_TOTAL) #define p_stack_size 8 __constant short move_dir[2][8] = { { -1, -1, -1, 0, 0, 1, 1, 1 }, { -1, 0, 1, -1, 1, -1, 0, 1 } }; __kernel void stage2_hysteresis(__global uchar *map_ptr, int map_step, int map_offset, int rows, int cols) { map_ptr += map_offset; int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI; int lid = get_local_id(0) + get_local_id(1) * LOCAL_X; __local ushort2 l_stack[l_stack_size]; __local int l_counter; if (lid == 0) l_counter = 0; barrier(CLK_LOCAL_MEM_FENCE); if (x < cols) { __global uchar* map = map_ptr + mad24(y, map_step, x * (int)sizeof(int)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI; ++cy) { if (y < rows) { int type = loadpix(map); if (type == 2) { l_stack[atomic_inc(&l_counter)] = (ushort2)(x, y); } y++; map += map_step; } } } barrier(CLK_LOCAL_MEM_FENCE); ushort2 p_stack[p_stack_size]; int p_counter = 0; while(l_counter != 0) { int mod = l_counter % LOCAL_TOTAL; int pix_per_thr = l_counter / LOCAL_TOTAL + ((lid < mod) ? 1 : 0); barrier(CLK_LOCAL_MEM_FENCE); for (int i = 0; i < pix_per_thr; ++i) { int index = atomic_dec(&l_counter) - 1; if (index < 0) continue; ushort2 pos = l_stack[ index ]; #pragma unroll for (int j = 0; j < 8; ++j) { ushort posx = pos.x + move_dir[0][j]; ushort posy = pos.y + move_dir[1][j]; if (posx < 0 || posy < 0 || posx >= cols || posy >= rows) continue; __global uchar *addr = map_ptr + mad24(posy, map_step, posx * (int)sizeof(int)); int type = loadpix(addr); if (type == 0) { p_stack[p_counter++] = (ushort2)(posx, posy); storepix(2, addr); } } } barrier(CLK_LOCAL_MEM_FENCE); if (l_counter < 0) l_counter = 0; barrier(CLK_LOCAL_MEM_FENCE); while (p_counter > 0) { l_stack[ atomic_inc(&l_counter) ] = p_stack[--p_counter]; } barrier(CLK_LOCAL_MEM_FENCE); } } #elif defined GET_EDGES __kernel void getEdges(__global const uchar *mapptr, int map_step, int map_offset, int rows, int cols, __global uchar *dst, int dst_step, int dst_offset) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI; if (x < cols) { int map_index = mad24(map_step, y, mad24(x, (int)sizeof(int), map_offset)); int dst_index = mad24(dst_step, y, x + dst_offset); #pragma unroll for (int cy = 0; cy < PIX_PER_WI; ++cy) { if (y < rows) { __global const int * map = (__global const int *)(mapptr + map_index); dst[dst_index] = (uchar)(-(map[0] >> 1)); y++; map_index += map_step; dst_index += dst_step; } } } } #endif 2e3c93ad703f4bcee1efbbcc0107fc8dclaheinline int calc_lut(__local int* smem, int val, int tid) { smem[tid] = val; barrier(CLK_LOCAL_MEM_FENCE); if (tid == 0) for (int i = 1; i < 256; ++i) smem[i] += smem[i - 1]; barrier(CLK_LOCAL_MEM_FENCE); return smem[tid]; } inline int reduce(__local volatile int* smem, int val, int tid) { smem[tid] = val; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 128) smem[tid] = val += smem[tid + 128]; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 64) smem[tid] = val += smem[tid + 64]; barrier(CLK_LOCAL_MEM_FENCE); if (tid < 32) { smem[tid] += smem[tid + 32]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 16) { smem[tid] += smem[tid + 16]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 8) { smem[tid] += smem[tid + 8]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid < 4) { smem[tid] += smem[tid + 4]; } barrier(CLK_LOCAL_MEM_FENCE); if (tid == 0) { smem[0] = (smem[0] + smem[1]) + (smem[2] + smem[3]); } barrier(CLK_LOCAL_MEM_FENCE); val = smem[0]; barrier(CLK_LOCAL_MEM_FENCE); return val; } __kernel void calcLut(__global __const uchar * src, const int srcStep, const int src_offset, __global uchar * lut, const int dstStep, const int dst_offset, const int2 tileSize, const int tilesX, const int clipLimit, const float lutScale) { __local int smem[512]; int tx = get_group_id(0); int ty = get_group_id(1); int tid = get_local_id(1) * get_local_size(0) + get_local_id(0); smem[tid] = 0; barrier(CLK_LOCAL_MEM_FENCE); for (int i = get_local_id(1); i < tileSize.y; i += get_local_size(1)) { __global const uchar* srcPtr = src + mad24(ty * tileSize.y + i, srcStep, tx * tileSize.x + src_offset); for (int j = get_local_id(0); j < tileSize.x; j += get_local_size(0)) { const int data = srcPtr[j]; atomic_inc(&smem[data]); } } barrier(CLK_LOCAL_MEM_FENCE); int tHistVal = smem[tid]; barrier(CLK_LOCAL_MEM_FENCE); if (clipLimit > 0) { int clipped = 0; if (tHistVal > clipLimit) { clipped = tHistVal - clipLimit; tHistVal = clipLimit; } clipped = reduce(smem, clipped, tid); int redistBatch = clipped / 256; tHistVal += redistBatch; int residual = clipped - redistBatch * 256; int rStep = 256 / residual; if (rStep < 1) rStep = 1; if (tid%rStep == 0 && (tid/rStep)= cols || y >= rows) return; const float tyf = (convert_float(y) / tileSize.y) - 0.5f; int ty1 = convert_int_rtn(tyf); int ty2 = ty1 + 1; const float ya = tyf - ty1; ty1 = max(ty1, 0); ty2 = min(ty2, tilesY - 1); const float txf = (convert_float(x) / tileSize.x) - 0.5f; int tx1 = convert_int_rtn(txf); int tx2 = tx1 + 1; const float xa = txf - tx1; tx1 = max(tx1, 0); tx2 = min(tx2, tilesX - 1); const int srcVal = src[mad24(y, srcStep, x + src_offset)]; float res = 0; res += lut[mad24(ty1 * tilesX + tx1, lutStep, srcVal + lut_offset)] * ((1.0f - xa) * (1.0f - ya)); res += lut[mad24(ty1 * tilesX + tx2, lutStep, srcVal + lut_offset)] * ((xa) * (1.0f - ya)); res += lut[mad24(ty2 * tilesX + tx1, lutStep, srcVal + lut_offset)] * ((1.0f - xa) * (ya)); res += lut[mad24(ty2 * tilesX + tx2, lutStep, srcVal + lut_offset)] * ((xa) * (ya)); uint ires = (uint)convert_int_rte(res); dst[mad24(y, dstStep, x + dst_offset)] = convert_uchar(clamp(ires, (uint)0, (uint)255)); } 7399905b8fbf557bd2d5336b25327a7ccolor_hsv#if depth == 0 #define DATA_TYPE uchar #define MAX_NUM 255 #define HALF_MAX_NUM 128 #define COEFF_TYPE int #define SAT_CAST(num) convert_uchar_sat(num) #define DEPTH_0 #elif depth == 2 #define DATA_TYPE ushort #define MAX_NUM 65535 #define HALF_MAX_NUM 32768 #define COEFF_TYPE int #define SAT_CAST(num) convert_ushort_sat(num) #define DEPTH_2 #elif depth == 5 #define DATA_TYPE float #define MAX_NUM 1.0f #define HALF_MAX_NUM 0.5f #define COEFF_TYPE float #define SAT_CAST(num) (num) #define DEPTH_5 #else #error "invalid depth: should be 0 (CV_8U), 2 (CV_16U) or 5 (CV_32F)" #endif #define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n)) enum { hsv_shift = 12 }; #define scnbytes ((int)sizeof(DATA_TYPE)*scn) #define dcnbytes ((int)sizeof(DATA_TYPE)*dcn) #ifndef hscale #define hscale 0 #endif #ifndef hrange #define hrange 0 #endif #if bidx == 0 #define R_COMP z #define G_COMP y #define B_COMP x #else #define R_COMP x #define G_COMP y #define B_COMP z #endif __constant int sector_data[][3] = { { 1, 3, 0 }, { 1, 0, 2 }, { 3, 0, 1 }, { 0, 2, 1 }, { 0, 1, 3 }, { 2, 1, 0 } }; #ifdef DEPTH_0 __kernel void RGB2HSV(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols, __constant int * sdiv_table, __constant int * hdiv_table) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { uchar4 src_pix = vload4(0, src + src_index); int b = src_pix.B_COMP, g = src_pix.G_COMP, r = src_pix.R_COMP; int h, s, v = b; int vmin = b, diff; int vr, vg; v = max(v, g); v = max(v, r); vmin = min(vmin, g); vmin = min(vmin, r); diff = v - vmin; vr = v == r ? -1 : 0; vg = v == g ? -1 : 0; s = mad24(diff, sdiv_table[v], (1 << (hsv_shift-1))) >> hsv_shift; h = (vr & (g - b)) + (~vr & ((vg & mad24(diff, 2, b - r)) + ((~vg) & mad24(4, diff, r - g)))); h = mad24(h, hdiv_table[diff], (1 << (hsv_shift-1))) >> hsv_shift; h += h < 0 ? hrange : 0; dst[dst_index] = convert_uchar_sat_rte(h); dst[dst_index + 1] = (uchar)s; dst[dst_index + 2] = (uchar)v; ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void HSV2RGB(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { uchar4 src_pix = vload4(0, src + src_index); float h = src_pix.x, s = src_pix.y*(1/255.f), v = src_pix.z*(1/255.f); float b, g, r; if (s != 0) { float tab[4]; int sector; h *= hscale; if( h < 0 ) do h += 6; while( h < 0 ); else if( h >= 6 ) do h -= 6; while( h >= 6 ); sector = convert_int_sat_rtn(h); h -= sector; if( (unsigned)sector >= 6u ) { sector = 0; h = 0.f; } tab[0] = v; tab[1] = v*(1.f - s); tab[2] = v*(1.f - s*h); tab[3] = v*(1.f - s*(1.f - h)); b = tab[sector_data[sector][0]]; g = tab[sector_data[sector][1]]; r = tab[sector_data[sector][2]]; } else b = g = r = v; dst[dst_index + bidx] = convert_uchar_sat_rte(b*255.f); dst[dst_index + 1] = convert_uchar_sat_rte(g*255.f); dst[dst_index + (bidx^2)] = convert_uchar_sat_rte(r*255.f); #if dcn == 4 dst[dst_index + 3] = MAX_NUM; #endif ++y; dst_index += dst_step; src_index += src_step; } } } } #elif defined DEPTH_5 __kernel void RGB2HSV(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const float * src = (__global const float *)(srcptr + src_index); __global float * dst = (__global float *)(dstptr + dst_index); float4 src_pix = vload4(0, src); float b = src_pix.B_COMP, g = src_pix.G_COMP, r = src_pix.R_COMP; float h, s, v; float vmin, diff; v = vmin = r; if( v < g ) v = g; if( v < b ) v = b; if( vmin > g ) vmin = g; if( vmin > b ) vmin = b; diff = v - vmin; s = diff/(float)(fabs(v) + FLT_EPSILON); diff = (float)(60.f/(diff + FLT_EPSILON)); if( v == r ) h = (g - b)*diff; else if( v == g ) h = fma(b - r, diff, 120.f); else h = fma(r - g, diff, 240.f); if( h < 0 ) h += 360.f; dst[0] = h*hscale; dst[1] = s; dst[2] = v; ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void HSV2RGB(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const float * src = (__global const float *)(srcptr + src_index); __global float * dst = (__global float *)(dstptr + dst_index); float4 src_pix = vload4(0, src); float h = src_pix.x, s = src_pix.y, v = src_pix.z; float b, g, r; if (s != 0) { float tab[4]; int sector; h *= hscale; if(h < 0) do h += 6; while (h < 0); else if (h >= 6) do h -= 6; while (h >= 6); sector = convert_int_sat_rtn(h); h -= sector; if ((unsigned)sector >= 6u) { sector = 0; h = 0.f; } tab[0] = v; tab[1] = v*(1.f - s); tab[2] = v*(1.f - s*h); tab[3] = v*(1.f - s*(1.f - h)); b = tab[sector_data[sector][0]]; g = tab[sector_data[sector][1]]; r = tab[sector_data[sector][2]]; } else b = g = r = v; dst[bidx] = b; dst[1] = g; dst[bidx^2] = r; #if dcn == 4 dst[3] = MAX_NUM; #endif ++y; dst_index += dst_step; src_index += src_step; } } } } #endif #ifdef DEPTH_0 __kernel void RGB2HLS(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { uchar4 src_pix = vload4(0, src + src_index); float b = src_pix.B_COMP*(1/255.f), g = src_pix.G_COMP*(1/255.f), r = src_pix.R_COMP*(1/255.f); float h = 0.f, s = 0.f, l; float vmin, vmax, diff; vmax = vmin = r; if (vmax < g) vmax = g; if (vmax < b) vmax = b; if (vmin > g) vmin = g; if (vmin > b) vmin = b; diff = vmax - vmin; l = (vmax + vmin)*0.5f; if (diff > FLT_EPSILON) { s = l < 0.5f ? diff/(vmax + vmin) : diff/(2 - vmax - vmin); diff = 60.f/diff; if( vmax == r ) h = (g - b)*diff; else if( vmax == g ) h = fma(b - r, diff, 120.f); else h = fma(r - g, diff, 240.f); if( h < 0.f ) h += 360.f; } dst[dst_index] = convert_uchar_sat_rte(h*hscale); dst[dst_index + 1] = convert_uchar_sat_rte(l*255.f); dst[dst_index + 2] = convert_uchar_sat_rte(s*255.f); ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void HLS2RGB(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { uchar4 src_pix = vload4(0, src + src_index); float h = src_pix.x, l = src_pix.y*(1.f/255.f), s = src_pix.z*(1.f/255.f); float b, g, r; if (s != 0) { float tab[4]; float p2 = l <= 0.5f ? l*(1 + s) : l + s - l*s; float p1 = 2*l - p2; h *= hscale; if( h < 0 ) do h += 6; while( h < 0 ); else if( h >= 6 ) do h -= 6; while( h >= 6 ); int sector = convert_int_sat_rtn(h); h -= sector; tab[0] = p2; tab[1] = p1; tab[2] = fma(p2 - p1, 1-h, p1); tab[3] = fma(p2 - p1, h, p1); b = tab[sector_data[sector][0]]; g = tab[sector_data[sector][1]]; r = tab[sector_data[sector][2]]; } else b = g = r = l; dst[dst_index + bidx] = convert_uchar_sat_rte(b*255.f); dst[dst_index + 1] = convert_uchar_sat_rte(g*255.f); dst[dst_index + (bidx^2)] = convert_uchar_sat_rte(r*255.f); #if dcn == 4 dst[dst_index + 3] = MAX_NUM; #endif ++y; dst_index += dst_step; src_index += src_step; } } } } #elif defined DEPTH_5 __kernel void RGB2HLS(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const float * src = (__global const float *)(srcptr + src_index); __global float * dst = (__global float *)(dstptr + dst_index); float4 src_pix = vload4(0, src); float b = src_pix.B_COMP, g = src_pix.G_COMP, r = src_pix.R_COMP; float h = 0.f, s = 0.f, l; float vmin, vmax, diff; vmax = vmin = r; if (vmax < g) vmax = g; if (vmax < b) vmax = b; if (vmin > g) vmin = g; if (vmin > b) vmin = b; diff = vmax - vmin; l = (vmax + vmin)*0.5f; if (diff > FLT_EPSILON) { s = l < 0.5f ? diff/(vmax + vmin) : diff/(2 - vmax - vmin); diff = 60.f/diff; if( vmax == r ) h = (g - b)*diff; else if( vmax == g ) h = fma(b - r, diff, 120.f); else h = fma(r - g, diff, 240.f); if( h < 0.f ) h += 360.f; } dst[0] = h*hscale; dst[1] = l; dst[2] = s; ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void HLS2RGB(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const float * src = (__global const float *)(srcptr + src_index); __global float * dst = (__global float *)(dstptr + dst_index); float4 src_pix = vload4(0, src); float h = src_pix.x, l = src_pix.y, s = src_pix.z; float b, g, r; if (s != 0) { float tab[4]; int sector; float p2 = l <= 0.5f ? l*(1 + s) : l + s - l*s; float p1 = 2*l - p2; h *= hscale; if( h < 0 ) do h += 6; while( h < 0 ); else if( h >= 6 ) do h -= 6; while( h >= 6 ); sector = convert_int_sat_rtn(h); h -= sector; tab[0] = p2; tab[1] = p1; tab[2] = fma(p2 - p1, 1-h, p1); tab[3] = fma(p2 - p1, h, p1); b = tab[sector_data[sector][0]]; g = tab[sector_data[sector][1]]; r = tab[sector_data[sector][2]]; } else b = g = r = l; dst[bidx] = b; dst[1] = g; dst[bidx^2] = r; #if dcn == 4 dst[3] = MAX_NUM; #endif ++y; dst_index += dst_step; src_index += src_step; } } } } #endif 7a58346cde62814d89c0233200848842color_lab#if depth == 0 #define DATA_TYPE uchar #define MAX_NUM 255 #define HALF_MAX_NUM 128 #define COEFF_TYPE int #define SAT_CAST(num) convert_uchar_sat(num) #define DEPTH_0 #elif depth == 2 #define DATA_TYPE ushort #define MAX_NUM 65535 #define HALF_MAX_NUM 32768 #define COEFF_TYPE int #define SAT_CAST(num) convert_ushort_sat(num) #define DEPTH_2 #elif depth == 5 #define DATA_TYPE float #define MAX_NUM 1.0f #define HALF_MAX_NUM 0.5f #define COEFF_TYPE float #define SAT_CAST(num) (num) #define DEPTH_5 #else #error "invalid depth: should be 0 (CV_8U), 2 (CV_16U) or 5 (CV_32F)" #endif #define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n)) enum { xyz_shift = 12, }; #define scnbytes ((int)sizeof(DATA_TYPE)*scn) #define dcnbytes ((int)sizeof(DATA_TYPE)*dcn) #define __CAT(x, y) x##y #define CAT(x, y) __CAT(x, y) #define DATA_TYPE_4 CAT(DATA_TYPE, 4) #define DATA_TYPE_3 CAT(DATA_TYPE, 3) __kernel void RGB2XYZ(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols, __constant COEFF_TYPE * coeffs) { int dx = get_global_id(0); int dy = get_global_id(1) * PIX_PER_WI_Y; if (dx < cols) { int src_index = mad24(dy, src_step, mad24(dx, scnbytes, src_offset)); int dst_index = mad24(dy, dst_step, mad24(dx, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (dy < rows) { __global const DATA_TYPE * src = (__global const DATA_TYPE *)(srcptr + src_index); __global DATA_TYPE * dst = (__global DATA_TYPE *)(dstptr + dst_index); DATA_TYPE_4 src_pix = vload4(0, src); DATA_TYPE r = src_pix.x, g = src_pix.y, b = src_pix.z; #ifdef DEPTH_5 float x = fma(r, coeffs[0], fma(g, coeffs[1], b * coeffs[2])); float y = fma(r, coeffs[3], fma(g, coeffs[4], b * coeffs[5])); float z = fma(r, coeffs[6], fma(g, coeffs[7], b * coeffs[8])); #else int x = CV_DESCALE(mad24(r, coeffs[0], mad24(g, coeffs[1], b * coeffs[2])), xyz_shift); int y = CV_DESCALE(mad24(r, coeffs[3], mad24(g, coeffs[4], b * coeffs[5])), xyz_shift); int z = CV_DESCALE(mad24(r, coeffs[6], mad24(g, coeffs[7], b * coeffs[8])), xyz_shift); #endif dst[0] = SAT_CAST(x); dst[1] = SAT_CAST(y); dst[2] = SAT_CAST(z); ++dy; dst_index += dst_step; src_index += src_step; } } } } __kernel void XYZ2RGB(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols, __constant COEFF_TYPE * coeffs) { int dx = get_global_id(0); int dy = get_global_id(1) * PIX_PER_WI_Y; if (dx < cols) { int src_index = mad24(dy, src_step, mad24(dx, scnbytes, src_offset)); int dst_index = mad24(dy, dst_step, mad24(dx, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (dy < rows) { __global const DATA_TYPE * src = (__global const DATA_TYPE *)(srcptr + src_index); __global DATA_TYPE * dst = (__global DATA_TYPE *)(dstptr + dst_index); DATA_TYPE_4 src_pix = vload4(0, src); DATA_TYPE x = src_pix.x, y = src_pix.y, z = src_pix.z; #ifdef DEPTH_5 float b = fma(x, coeffs[0], fma(y, coeffs[1], z * coeffs[2])); float g = fma(x, coeffs[3], fma(y, coeffs[4], z * coeffs[5])); float r = fma(x, coeffs[6], fma(y, coeffs[7], z * coeffs[8])); #else int b = CV_DESCALE(mad24(x, coeffs[0], mad24(y, coeffs[1], z * coeffs[2])), xyz_shift); int g = CV_DESCALE(mad24(x, coeffs[3], mad24(y, coeffs[4], z * coeffs[5])), xyz_shift); int r = CV_DESCALE(mad24(x, coeffs[6], mad24(y, coeffs[7], z * coeffs[8])), xyz_shift); #endif DATA_TYPE dst0 = SAT_CAST(b); DATA_TYPE dst1 = SAT_CAST(g); DATA_TYPE dst2 = SAT_CAST(r); #if dcn == 3 || defined DEPTH_5 dst[0] = dst0; dst[1] = dst1; dst[2] = dst2; #if dcn == 4 dst[3] = MAX_NUM; #endif #else *(__global DATA_TYPE_4 *)dst = (DATA_TYPE_4)(dst0, dst1, dst2, MAX_NUM); #endif ++dy; dst_index += dst_step; src_index += src_step; } } } } #define lab_shift xyz_shift #define gamma_shift 3 #define lab_shift2 (lab_shift + gamma_shift) #define GAMMA_TAB_SIZE 1024 #define GammaTabScale (float)GAMMA_TAB_SIZE inline float splineInterpolate(float x, __global const float * tab, int n) { int ix = clamp(convert_int_sat_rtn(x), 0, n-1); x -= ix; tab += ix << 2; return fma(fma(fma(tab[3], x, tab[2]), x, tab[1]), x, tab[0]); } #ifdef DEPTH_0 __kernel void BGR2Lab(__global const uchar * src, int src_step, int src_offset, __global uchar * dst, int dst_step, int dst_offset, int rows, int cols, __global const ushort * gammaTab, __global ushort * LabCbrtTab_b, __constant int * coeffs, int Lscale, int Lshift) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const uchar* src_ptr = src + src_index; __global uchar* dst_ptr = dst + dst_index; uchar4 src_pix = vload4(0, src_ptr); int C0 = coeffs[0], C1 = coeffs[1], C2 = coeffs[2], C3 = coeffs[3], C4 = coeffs[4], C5 = coeffs[5], C6 = coeffs[6], C7 = coeffs[7], C8 = coeffs[8]; int R = gammaTab[src_pix.x], G = gammaTab[src_pix.y], B = gammaTab[src_pix.z]; int fX = LabCbrtTab_b[CV_DESCALE(mad24(R, C0, mad24(G, C1, B*C2)), lab_shift)]; int fY = LabCbrtTab_b[CV_DESCALE(mad24(R, C3, mad24(G, C4, B*C5)), lab_shift)]; int fZ = LabCbrtTab_b[CV_DESCALE(mad24(R, C6, mad24(G, C7, B*C8)), lab_shift)]; int L = CV_DESCALE( Lscale*fY + Lshift, lab_shift2 ); int a = CV_DESCALE( mad24(500, fX - fY, 128*(1 << lab_shift2)), lab_shift2 ); int b = CV_DESCALE( mad24(200, fY - fZ, 128*(1 << lab_shift2)), lab_shift2 ); dst_ptr[0] = SAT_CAST(L); dst_ptr[1] = SAT_CAST(a); dst_ptr[2] = SAT_CAST(b); ++y; dst_index += dst_step; src_index += src_step; } } } } #elif defined DEPTH_5 __kernel void BGR2Lab(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols, #ifdef SRGB __global const float * gammaTab, #endif __constant float * coeffs, float _1_3, float _a) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const float * src = (__global const float *)(srcptr + src_index); __global float * dst = (__global float *)(dstptr + dst_index); float4 src_pix = vload4(0, src); float C0 = coeffs[0], C1 = coeffs[1], C2 = coeffs[2], C3 = coeffs[3], C4 = coeffs[4], C5 = coeffs[5], C6 = coeffs[6], C7 = coeffs[7], C8 = coeffs[8]; float R = clamp(src_pix.x, 0.0f, 1.0f); float G = clamp(src_pix.y, 0.0f, 1.0f); float B = clamp(src_pix.z, 0.0f, 1.0f); #ifdef SRGB R = splineInterpolate(R * GammaTabScale, gammaTab, GAMMA_TAB_SIZE); G = splineInterpolate(G * GammaTabScale, gammaTab, GAMMA_TAB_SIZE); B = splineInterpolate(B * GammaTabScale, gammaTab, GAMMA_TAB_SIZE); #endif float X = fma(R, C0, fma(G, C1, B*C2)); float Y = fma(R, C3, fma(G, C4, B*C5)); float Z = fma(R, C6, fma(G, C7, B*C8)); float FX = X > 0.008856f ? rootn(X, 3) : fma(7.787f, X, _a); float FY = Y > 0.008856f ? rootn(Y, 3) : fma(7.787f, Y, _a); float FZ = Z > 0.008856f ? rootn(Z, 3) : fma(7.787f, Z, _a); float L = Y > 0.008856f ? fma(116.f, FY, -16.f) : (903.3f * Y); float a = 500.f * (FX - FY); float b = 200.f * (FY - FZ); dst[0] = L; dst[1] = a; dst[2] = b; ++y; dst_index += dst_step; src_index += src_step; } } } } #endif inline void Lab2BGR_f(const float * srcbuf, float * dstbuf, #ifdef SRGB __global const float * gammaTab, #endif __constant float * coeffs, float lThresh, float fThresh) { float li = srcbuf[0], ai = srcbuf[1], bi = srcbuf[2]; float C0 = coeffs[0], C1 = coeffs[1], C2 = coeffs[2], C3 = coeffs[3], C4 = coeffs[4], C5 = coeffs[5], C6 = coeffs[6], C7 = coeffs[7], C8 = coeffs[8]; float y, fy; if (li <= lThresh) { y = li / 903.3f; fy = fma(7.787f, y, 16.0f / 116.0f); } else { fy = (li + 16.0f) / 116.0f; y = fy * fy * fy; } float fxz[] = { ai / 500.0f + fy, fy - bi / 200.0f }; #pragma unroll for (int j = 0; j < 2; j++) if (fxz[j] <= fThresh) fxz[j] = (fxz[j] - 16.0f / 116.0f) / 7.787f; else fxz[j] = fxz[j] * fxz[j] * fxz[j]; float x = fxz[0], z = fxz[1]; float ro = clamp(fma(C0, x, fma(C1, y, C2 * z)), 0.0f, 1.0f); float go = clamp(fma(C3, x, fma(C4, y, C5 * z)), 0.0f, 1.0f); float bo = clamp(fma(C6, x, fma(C7, y, C8 * z)), 0.0f, 1.0f); #ifdef SRGB ro = splineInterpolate(ro * GammaTabScale, gammaTab, GAMMA_TAB_SIZE); go = splineInterpolate(go * GammaTabScale, gammaTab, GAMMA_TAB_SIZE); bo = splineInterpolate(bo * GammaTabScale, gammaTab, GAMMA_TAB_SIZE); #endif dstbuf[0] = ro, dstbuf[1] = go, dstbuf[2] = bo; } #ifdef DEPTH_0 __kernel void Lab2BGR(__global const uchar * src, int src_step, int src_offset, __global uchar * dst, int dst_step, int dst_offset, int rows, int cols, #ifdef SRGB __global const float * gammaTab, #endif __constant float * coeffs, float lThresh, float fThresh) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const uchar* src_ptr = src + src_index; __global uchar * dst_ptr = dst + dst_index; uchar4 src_pix = vload4(0, src_ptr); float srcbuf[3], dstbuf[3]; srcbuf[0] = src_pix.x*(100.f/255.f); srcbuf[1] = convert_float(src_pix.y - 128); srcbuf[2] = convert_float(src_pix.z - 128); Lab2BGR_f(&srcbuf[0], &dstbuf[0], #ifdef SRGB gammaTab, #endif coeffs, lThresh, fThresh); #if dcn == 3 dst_ptr[0] = SAT_CAST(dstbuf[0] * 255.0f); dst_ptr[1] = SAT_CAST(dstbuf[1] * 255.0f); dst_ptr[2] = SAT_CAST(dstbuf[2] * 255.0f); #else *(__global uchar4 *)dst_ptr = (uchar4)(SAT_CAST(dstbuf[0] * 255.0f), SAT_CAST(dstbuf[1] * 255.0f), SAT_CAST(dstbuf[2] * 255.0f), MAX_NUM); #endif ++y; dst_index += dst_step; src_index += src_step; } } } } #elif defined DEPTH_5 __kernel void Lab2BGR(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols, #ifdef SRGB __global const float * gammaTab, #endif __constant float * coeffs, float lThresh, float fThresh) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const float * src = (__global const float *)(srcptr + src_index); __global float * dst = (__global float *)(dstptr + dst_index); float4 src_pix = vload4(0, src); float srcbuf[3], dstbuf[3]; srcbuf[0] = src_pix.x, srcbuf[1] = src_pix.y, srcbuf[2] = src_pix.z; Lab2BGR_f(&srcbuf[0], &dstbuf[0], #ifdef SRGB gammaTab, #endif coeffs, lThresh, fThresh); dst[0] = dstbuf[0], dst[1] = dstbuf[1], dst[2] = dstbuf[2]; #if dcn == 4 dst[3] = MAX_NUM; #endif ++y; dst_index += dst_step; src_index += src_step; } } } } #endif #define LAB_CBRT_TAB_SIZE 1024 #define LAB_CBRT_TAB_SIZE_B (256*3/2*(1<= 8) { Y = fma(L, 1.f/116.f, 16.f/116.f); Y = Y*Y*Y; } else { Y = L * (1.0f/903.3f); } float up = 3.f*fma(L, _un, u); float vp = 0.25f/fma(L, _vn, v); vp = clamp(vp, -0.25f, 0.25f); X = 3.f*Y*up*vp; Z = Y*fma(fma(12.f*13.f, L, -up), vp, -5.f); float R = fma(X, coeffs[0], fma(Y, coeffs[1], Z * coeffs[2])); float G = fma(X, coeffs[3], fma(Y, coeffs[4], Z * coeffs[5])); float B = fma(X, coeffs[6], fma(Y, coeffs[7], Z * coeffs[8])); R = clamp(R, 0.f, 1.f); G = clamp(G, 0.f, 1.f); B = clamp(B, 0.f, 1.f); #ifdef SRGB R = splineInterpolate(R*GammaTabScale, gammaTab, GAMMA_TAB_SIZE); G = splineInterpolate(G*GammaTabScale, gammaTab, GAMMA_TAB_SIZE); B = splineInterpolate(B*GammaTabScale, gammaTab, GAMMA_TAB_SIZE); #endif dst[0] = R; dst[1] = G; dst[2] = B; #if dcn == 4 dst[3] = MAX_NUM; #endif ++y; dst_index += dst_step; src_index += src_step; } } } #elif defined DEPTH_0 __kernel void Luv2BGR(__global const uchar * src, int src_step, int src_offset, __global uchar * dst, int dst_step, int dst_offset, int rows, int cols, #ifdef SRGB __global const float * gammaTab, #endif __constant float * coeffs, float _un, float _vn) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { src += mad24(y, src_step, mad24(x, scnbytes, src_offset)); dst += mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) if (y < rows) { float d, X, Y, Z; float L = src[0]*(100.f/255.f); float u = fma(convert_float(src[1]), 1.388235294117647f, -134.f); float v = fma(convert_float(src[2]), 1.027450980392157f, - 140.f); if(L >= 8) { Y = fma(L, 1.f/116.f, 16.f/116.f); Y = Y*Y*Y; } else { Y = L * (1.0f/903.3f); } float up = 3.f*fma(L, _un, u); float vp = 0.25f/fma(L, _vn, v); vp = clamp(vp, -0.25f, 0.25f); X = 3.f*Y*up*vp; Z = Y*fma(fma(12.f*13.f, L, -up), vp, -5.f); X = clamp(X, 0.f, 2.f); Z = clamp(Z, 0.f, 2.f); float R = fma(X, coeffs[0], fma(Y, coeffs[1], Z * coeffs[2])); float G = fma(X, coeffs[3], fma(Y, coeffs[4], Z * coeffs[5])); float B = fma(X, coeffs[6], fma(Y, coeffs[7], Z * coeffs[8])); R = clamp(R, 0.f, 1.f); G = clamp(G, 0.f, 1.f); B = clamp(B, 0.f, 1.f); #ifdef SRGB R = splineInterpolate(R*GammaTabScale, gammaTab, GAMMA_TAB_SIZE); G = splineInterpolate(G*GammaTabScale, gammaTab, GAMMA_TAB_SIZE); B = splineInterpolate(B*GammaTabScale, gammaTab, GAMMA_TAB_SIZE); #endif uchar dst0 = SAT_CAST(R * 255.0f); uchar dst1 = SAT_CAST(G * 255.0f); uchar dst2 = SAT_CAST(B * 255.0f); #if dcn == 4 *(__global uchar4 *)dst = (uchar4)(dst0, dst1, dst2, MAX_NUM); #else dst[0] = dst0; dst[1] = dst1; dst[2] = dst2; #endif ++y; dst += dst_step; src += src_step; } } } #endif 5321f879afd5057810f4e7d4db9b2e78color_rgb#if depth == 0 #define DATA_TYPE uchar #define MAX_NUM 255 #define HALF_MAX_NUM 128 #define COEFF_TYPE int #define SAT_CAST(num) convert_uchar_sat(num) #define DEPTH_0 #elif depth == 2 #define DATA_TYPE ushort #define MAX_NUM 65535 #define HALF_MAX_NUM 32768 #define COEFF_TYPE int #define SAT_CAST(num) convert_ushort_sat(num) #define DEPTH_2 #elif depth == 5 #define DATA_TYPE float #define MAX_NUM 1.0f #define HALF_MAX_NUM 0.5f #define COEFF_TYPE float #define SAT_CAST(num) (num) #define DEPTH_5 #else #error "invalid depth: should be 0 (CV_8U), 2 (CV_16U) or 5 (CV_32F)" #endif #define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n)) enum { gray_shift = 15, RY15 = 9798, GY15 = 19235, BY15 = 3735 }; #define B2YF 0.114f #define G2YF 0.587f #define R2YF 0.299f #define scnbytes ((int)sizeof(DATA_TYPE)*scn) #define dcnbytes ((int)sizeof(DATA_TYPE)*dcn) #if bidx == 0 #define R_COMP z #define G_COMP y #define B_COMP x #else #define R_COMP x #define G_COMP y #define B_COMP z #endif #define __CAT(x, y) x##y #define CAT(x, y) __CAT(x, y) #define DATA_TYPE_4 CAT(DATA_TYPE, 4) #define DATA_TYPE_3 CAT(DATA_TYPE, 3) __kernel void RGB2Gray(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const DATA_TYPE* src = (__global const DATA_TYPE*)(srcptr + src_index); __global DATA_TYPE* dst = (__global DATA_TYPE*)(dstptr + dst_index); DATA_TYPE_3 src_pix = vload3(0, src); #ifdef DEPTH_5 dst[0] = fma(src_pix.B_COMP, B2YF, fma(src_pix.G_COMP, G2YF, src_pix.R_COMP * R2YF)); #else dst[0] = (DATA_TYPE)CV_DESCALE(mad24(src_pix.B_COMP, BY15, mad24(src_pix.G_COMP, GY15, mul24(src_pix.R_COMP, RY15))), gray_shift); #endif ++y; src_index += src_step; dst_index += dst_step; } } } } __kernel void Gray2RGB(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const DATA_TYPE* src = (__global const DATA_TYPE*)(srcptr + src_index); __global DATA_TYPE* dst = (__global DATA_TYPE*)(dstptr + dst_index); DATA_TYPE val = src[0]; #if dcn == 3 || defined DEPTH_5 dst[0] = dst[1] = dst[2] = val; #if dcn == 4 dst[3] = MAX_NUM; #endif #else *(__global DATA_TYPE_4 *)dst = (DATA_TYPE_4)(val, val, val, MAX_NUM); #endif ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void RGB(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const DATA_TYPE * src = (__global const DATA_TYPE *)(srcptr + src_index); __global DATA_TYPE * dst = (__global DATA_TYPE *)(dstptr + dst_index); #if scn == 3 DATA_TYPE_3 src_pix = vload3(0, src); #else DATA_TYPE_4 src_pix = vload4(0, src); #endif #ifdef REVERSE dst[0] = src_pix.z; dst[1] = src_pix.y; dst[2] = src_pix.x; #else dst[0] = src_pix.x; dst[1] = src_pix.y; dst[2] = src_pix.z; #endif #if dcn == 4 #if scn == 3 dst[3] = MAX_NUM; #else dst[3] = src[3]; #endif #endif ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void RGB5x52RGB(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { ushort t = *((__global const ushort*)(src + src_index)); #if greenbits == 6 dst[dst_index + bidx] = (uchar)(t << 3); dst[dst_index + 1] = (uchar)((t >> 3) & ~3); dst[dst_index + (bidx^2)] = (uchar)((t >> 8) & ~7); #else dst[dst_index + bidx] = (uchar)(t << 3); dst[dst_index + 1] = (uchar)((t >> 2) & ~7); dst[dst_index + (bidx^2)] = (uchar)((t >> 7) & ~7); #endif #if dcn == 4 #if greenbits == 6 dst[dst_index + 3] = 255; #else dst[dst_index + 3] = t & 0x8000 ? 255 : 0; #endif #endif ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void RGB2RGB5x5(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { uchar4 src_pix = vload4(0, src + src_index); #if greenbits == 6 *((__global ushort*)(dst + dst_index)) = (ushort)((src_pix.B_COMP >> 3)|((src_pix.G_COMP&~3) << 3)|((src_pix.R_COMP&~7) << 8)); #elif scn == 3 *((__global ushort*)(dst + dst_index)) = (ushort)((src_pix.B_COMP >> 3)|((src_pix.G_COMP&~7) << 2)|((src_pix.R_COMP&~7) << 7)); #else *((__global ushort*)(dst + dst_index)) = (ushort)((src_pix.B_COMP >> 3)|((src_pix.G_COMP&~7) << 2)| ((src_pix.R_COMP&~7) << 7)|(src_pix.w ? 0x8000 : 0)); #endif ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void BGR5x52Gray(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, dst_offset + x); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { int t = *((__global const ushort*)(src + src_index)); #if greenbits == 6 dst[dst_index] = (uchar)CV_DESCALE(mad24((t << 3) & 0xf8, BY15, mad24((t >> 3) & 0xfc, GY15, ((t >> 8) & 0xf8) * RY15)), gray_shift); #else dst[dst_index] = (uchar)CV_DESCALE(mad24((t << 3) & 0xf8, BY15, mad24((t >> 2) & 0xf8, GY15, ((t >> 7) & 0xf8) * RY15)), gray_shift); #endif ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void Gray2BGR5x5(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, src_offset + x); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { int t = src[src_index]; #if greenbits == 6 *((__global ushort*)(dst + dst_index)) = (ushort)((t >> 3) | ((t & ~3) << 3) | ((t & ~7) << 8)); #else t >>= 3; *((__global ushort*)(dst + dst_index)) = (ushort)(t|(t << 5)|(t << 10)); #endif ++y; dst_index += dst_step; src_index += src_step; } } } } #ifdef DEPTH_0 __kernel void RGBA2mRGBA(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, src_offset + (x << 2)); int dst_index = mad24(y, dst_step, dst_offset + (x << 2)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { uchar4 src_pix = *(__global const uchar4 *)(src + src_index); *(__global uchar4 *)(dst + dst_index) = (uchar4)(mad24(src_pix.x, src_pix.w, HALF_MAX_NUM) / MAX_NUM, mad24(src_pix.y, src_pix.w, HALF_MAX_NUM) / MAX_NUM, mad24(src_pix.z, src_pix.w, HALF_MAX_NUM) / MAX_NUM, src_pix.w); ++y; dst_index += dst_step; src_index += src_step; } } } } __kernel void mRGBA2RGBA(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, 4, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, 4, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { uchar4 src_pix = *(__global const uchar4 *)(src + src_index); uchar v3 = src_pix.w, v3_half = v3 / 2; if (v3 == 0) *(__global uchar4 *)(dst + dst_index) = (uchar4)(0, 0, 0, 0); else *(__global uchar4 *)(dst + dst_index) = (uchar4)(SAT_CAST(mad24(src_pix.x, MAX_NUM, v3_half) / v3), SAT_CAST(mad24(src_pix.y, MAX_NUM, v3_half) / v3), SAT_CAST(mad24(src_pix.z, MAX_NUM, v3_half) / v3), SAT_CAST(v3)); ++y; dst_index += dst_step; src_index += src_step; } } } } #endif 7c7f5a9dd8757ef67722074f65469f9acolor_yuv#if depth == 0 #define DATA_TYPE uchar #define MAX_NUM 255 #define HALF_MAX_NUM 128 #define COEFF_TYPE int #define SAT_CAST(num) convert_uchar_sat(num) #define DEPTH_0 #elif depth == 2 #define DATA_TYPE ushort #define MAX_NUM 65535 #define HALF_MAX_NUM 32768 #define COEFF_TYPE int #define SAT_CAST(num) convert_ushort_sat(num) #define DEPTH_2 #elif depth == 5 #define DATA_TYPE float #define MAX_NUM 1.0f #define HALF_MAX_NUM 0.5f #define COEFF_TYPE float #define SAT_CAST(num) (num) #define DEPTH_5 #else #error "invalid depth: should be 0 (CV_8U), 2 (CV_16U) or 5 (CV_32F)" #endif #define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n)) enum { yuv_shift = 14, R2Y = 4899, G2Y = 9617, B2Y = 1868, }; #define B2YF 0.114f #define G2YF 0.587f #define R2YF 0.299f #define YCBF 0.564f #define YCRF 0.713f #define YCBI 9241 #define YCRI 11682 #define B2UF 0.492f #define R2VF 0.877f #define B2UI 8061 #define R2VI 14369 #define U2BF 2.032f #define U2GF -0.395f #define V2GF -0.581f #define V2RF 1.140f #define U2BI 33292 #define U2GI -6472 #define V2GI -9519 #define V2RI 18678 #define CR2RF 1.403f #define CB2GF -0.344f #define CR2GF -0.714f #define CB2BF 1.773f #define CR2RI 22987 #define CB2GI -5636 #define CR2GI -11698 #define CB2BI 29049 #define scnbytes ((int)sizeof(DATA_TYPE)*scn) #define dcnbytes ((int)sizeof(DATA_TYPE)*dcn) #if bidx == 0 #define R_COMP z #define G_COMP y #define B_COMP x #else #define R_COMP x #define G_COMP y #define B_COMP z #endif #ifndef uidx #define uidx 0 #endif #ifndef yidx #define yidx 0 #endif #ifndef PIX_PER_WI_X #define PIX_PER_WI_X 1 #endif #define __CAT(x, y) x##y #define CAT(x, y) __CAT(x, y) #define DATA_TYPE_4 CAT(DATA_TYPE, 4) #define DATA_TYPE_3 CAT(DATA_TYPE, 3) __constant float c_RGB2YUVCoeffs_f[5] = { B2YF, G2YF, R2YF, B2UF, R2VF }; __constant int c_RGB2YUVCoeffs_i[5] = { B2Y, G2Y, R2Y, B2UI, R2VI }; __kernel void RGB2YUV(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dt_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dt_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const DATA_TYPE* src = (__global const DATA_TYPE*)(srcptr + src_index); __global DATA_TYPE* dst = (__global DATA_TYPE*)(dstptr + dst_index); DATA_TYPE_3 src_pix = vload3(0, src); DATA_TYPE b = src_pix.B_COMP, g = src_pix.G_COMP, r = src_pix.R_COMP; #ifdef DEPTH_5 __constant float * coeffs = c_RGB2YUVCoeffs_f; const DATA_TYPE Y = fma(b, coeffs[0], fma(g, coeffs[1], r * coeffs[2])); const DATA_TYPE U = fma(b - Y, coeffs[3], HALF_MAX_NUM); const DATA_TYPE V = fma(r - Y, coeffs[4], HALF_MAX_NUM); #else __constant int * coeffs = c_RGB2YUVCoeffs_i; const int delta = HALF_MAX_NUM * (1 << yuv_shift); const int Y = CV_DESCALE(mad24(b, coeffs[0], mad24(g, coeffs[1], mul24(r, coeffs[2]))), yuv_shift); const int U = CV_DESCALE(mad24(b - Y, coeffs[3], delta), yuv_shift); const int V = CV_DESCALE(mad24(r - Y, coeffs[4], delta), yuv_shift); #endif dst[0] = SAT_CAST( Y ); dst[1] = SAT_CAST( U ); dst[2] = SAT_CAST( V ); ++y; dst_index += dst_step; src_index += src_step; } } } } __constant float c_YUV2RGBCoeffs_f[4] = { U2BF, U2GF, V2GF, V2RF }; __constant int c_YUV2RGBCoeffs_i[4] = { U2BI, U2GI, V2GI, V2RI }; __kernel void YUV2RGB(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dt_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dt_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const DATA_TYPE* src = (__global const DATA_TYPE*)(srcptr + src_index); __global DATA_TYPE* dst = (__global DATA_TYPE*)(dstptr + dst_index); DATA_TYPE_4 src_pix = vload4(0, src); DATA_TYPE Y = src_pix.x, U = src_pix.y, V = src_pix.z; #ifdef DEPTH_5 __constant float * coeffs = c_YUV2RGBCoeffs_f; float r = fma(V - HALF_MAX_NUM, coeffs[3], Y); float g = fma(V - HALF_MAX_NUM, coeffs[2], fma(U - HALF_MAX_NUM, coeffs[1], Y)); float b = fma(U - HALF_MAX_NUM, coeffs[0], Y); #else __constant int * coeffs = c_YUV2RGBCoeffs_i; const int r = Y + CV_DESCALE(mul24(V - HALF_MAX_NUM, coeffs[3]), yuv_shift); const int g = Y + CV_DESCALE(mad24(V - HALF_MAX_NUM, coeffs[2], mul24(U - HALF_MAX_NUM, coeffs[1])), yuv_shift); const int b = Y + CV_DESCALE(mul24(U - HALF_MAX_NUM, coeffs[0]), yuv_shift); #endif dst[bidx] = SAT_CAST( b ); dst[1] = SAT_CAST( g ); dst[bidx^2] = SAT_CAST( r ); #if dcn == 4 dst[3] = MAX_NUM; #endif ++y; dst_index += dst_step; src_index += src_step; } } } } __constant float c_YUV2RGBCoeffs_420[5] = { 1.163999557f, 2.017999649f, -0.390999794f, -0.812999725f, 1.5959997177f }; __kernel void YUV2RGB_NVx(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dt_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols / 2) { #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows / 2 ) { __global const uchar* ysrc = srcptr + mad24(y << 1, src_step, (x << 1) + src_offset); __global const uchar* usrc = srcptr + mad24(rows + y, src_step, (x << 1) + src_offset); __global uchar* dst1 = dstptr + mad24(y << 1, dst_step, mad24(x, dcn<<1, dt_offset)); __global uchar* dst2 = dst1 + dst_step; float Y1 = ysrc[0]; float Y2 = ysrc[1]; float Y3 = ysrc[src_step]; float Y4 = ysrc[src_step + 1]; float U = ((float)usrc[uidx]) - HALF_MAX_NUM; float V = ((float)usrc[1-uidx]) - HALF_MAX_NUM; __constant float* coeffs = c_YUV2RGBCoeffs_420; float ruv = fma(coeffs[4], V, 0.5f); float guv = fma(coeffs[3], V, fma(coeffs[2], U, 0.5f)); float buv = fma(coeffs[1], U, 0.5f); Y1 = max(0.f, Y1 - 16.f) * coeffs[0]; dst1[2 - bidx] = convert_uchar_sat(Y1 + ruv); dst1[1] = convert_uchar_sat(Y1 + guv); dst1[bidx] = convert_uchar_sat(Y1 + buv); #if dcn == 4 dst1[3] = 255; #endif Y2 = max(0.f, Y2 - 16.f) * coeffs[0]; dst1[dcn + 2 - bidx] = convert_uchar_sat(Y2 + ruv); dst1[dcn + 1] = convert_uchar_sat(Y2 + guv); dst1[dcn + bidx] = convert_uchar_sat(Y2 + buv); #if dcn == 4 dst1[7] = 255; #endif Y3 = max(0.f, Y3 - 16.f) * coeffs[0]; dst2[2 - bidx] = convert_uchar_sat(Y3 + ruv); dst2[1] = convert_uchar_sat(Y3 + guv); dst2[bidx] = convert_uchar_sat(Y3 + buv); #if dcn == 4 dst2[3] = 255; #endif Y4 = max(0.f, Y4 - 16.f) * coeffs[0]; dst2[dcn + 2 - bidx] = convert_uchar_sat(Y4 + ruv); dst2[dcn + 1] = convert_uchar_sat(Y4 + guv); dst2[dcn + bidx] = convert_uchar_sat(Y4 + buv); #if dcn == 4 dst2[7] = 255; #endif } ++y; } } } #if uidx < 2 __kernel void YUV2RGB_YV12_IYUV(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dt_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols / 2) { #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows / 2 ) { __global const uchar* ysrc = srcptr + mad24(y << 1, src_step, (x << 1) + src_offset); __global uchar* dst1 = dstptr + mad24(y << 1, dst_step, x * (dcn<<1) + dt_offset); __global uchar* dst2 = dst1 + dst_step; float Y1 = ysrc[0]; float Y2 = ysrc[1]; float Y3 = ysrc[src_step]; float Y4 = ysrc[src_step + 1]; #ifdef SRC_CONT __global const uchar* uvsrc = srcptr + mad24(rows, src_step, src_offset); int u_ind = mad24(y, cols >> 1, x); float uv[2] = { ((float)uvsrc[u_ind]) - HALF_MAX_NUM, ((float)uvsrc[u_ind + ((rows * cols) >> 2)]) - HALF_MAX_NUM }; #else int vsteps[2] = { cols >> 1, src_step - (cols >> 1)}; __global const uchar* usrc = srcptr + mad24(rows + (y>>1), src_step, src_offset + (y%2)*(cols >> 1) + x); __global const uchar* vsrc = usrc + mad24(rows >> 2, src_step, rows % 4 ? vsteps[y%2] : 0); float uv[2] = { ((float)usrc[0]) - HALF_MAX_NUM, ((float)vsrc[0]) - HALF_MAX_NUM }; #endif float U = uv[uidx]; float V = uv[1-uidx]; __constant float* coeffs = c_YUV2RGBCoeffs_420; float ruv = fma(coeffs[4], V, 0.5f); float guv = fma(coeffs[3], V, fma(coeffs[2], U, 0.5f)); float buv = fma(coeffs[1], U, 0.5f); Y1 = max(0.f, Y1 - 16.f) * coeffs[0]; dst1[2 - bidx] = convert_uchar_sat(Y1 + ruv); dst1[1] = convert_uchar_sat(Y1 + guv); dst1[bidx] = convert_uchar_sat(Y1 + buv); #if dcn == 4 dst1[3] = 255; #endif Y2 = max(0.f, Y2 - 16.f) * coeffs[0]; dst1[dcn + 2 - bidx] = convert_uchar_sat(Y2 + ruv); dst1[dcn + 1] = convert_uchar_sat(Y2 + guv); dst1[dcn + bidx] = convert_uchar_sat(Y2 + buv); #if dcn == 4 dst1[7] = 255; #endif Y3 = max(0.f, Y3 - 16.f) * coeffs[0]; dst2[2 - bidx] = convert_uchar_sat(Y3 + ruv); dst2[1] = convert_uchar_sat(Y3 + guv); dst2[bidx] = convert_uchar_sat(Y3 + buv); #if dcn == 4 dst2[3] = 255; #endif Y4 = max(0.f, Y4 - 16.f) * coeffs[0]; dst2[dcn + 2 - bidx] = convert_uchar_sat(Y4 + ruv); dst2[dcn + 1] = convert_uchar_sat(Y4 + guv); dst2[dcn + bidx] = convert_uchar_sat(Y4 + buv); #if dcn == 4 dst2[7] = 255; #endif } ++y; } } } #endif #if uidx < 2 __constant float c_RGB2YUVCoeffs_420[8] = { 0.256999969f, 0.50399971f, 0.09799957f, -0.1479988098f, -0.2909994125f, 0.438999176f, -0.3679990768f, -0.0709991455f }; __kernel void RGB2YUV_YV12_IYUV(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0) * PIX_PER_WI_X; int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols/2) { int src_index = mad24(y << 1, src_step, mad24(x << 1, scn, src_offset)); int ydst_index = mad24(y << 1, dst_step, (x << 1) + dst_offset); int y_rows = rows / 3 * 2; int vsteps[2] = { cols >> 1, dst_step - (cols >> 1)}; __constant float* coeffs = c_RGB2YUVCoeffs_420; #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows / 3) { __global const uchar* src1 = srcptr + src_index; __global const uchar* src2 = src1 + src_step; __global uchar* ydst1 = dstptr + ydst_index; __global uchar* ydst2 = ydst1 + dst_step; __global uchar* udst = dstptr + mad24(y_rows + (y>>1), dst_step, dst_offset + (y%2)*(cols >> 1) + x); __global uchar* vdst = udst + mad24(y_rows >> 2, dst_step, y_rows % 4 ? vsteps[y%2] : 0); #if PIX_PER_WI_X == 2 int s11 = *((__global const int*) src1); int s12 = *((__global const int*) src1 + 1); int s13 = *((__global const int*) src1 + 2); #if scn == 4 int s14 = *((__global const int*) src1 + 3); #endif int s21 = *((__global const int*) src2); int s22 = *((__global const int*) src2 + 1); int s23 = *((__global const int*) src2 + 2); #if scn == 4 int s24 = *((__global const int*) src2 + 3); #endif float src_pix1[scn * 4], src_pix2[scn * 4]; *((float4*) src_pix1) = convert_float4(as_uchar4(s11)); *((float4*) src_pix1 + 1) = convert_float4(as_uchar4(s12)); *((float4*) src_pix1 + 2) = convert_float4(as_uchar4(s13)); #if scn == 4 *((float4*) src_pix1 + 3) = convert_float4(as_uchar4(s14)); #endif *((float4*) src_pix2) = convert_float4(as_uchar4(s21)); *((float4*) src_pix2 + 1) = convert_float4(as_uchar4(s22)); *((float4*) src_pix2 + 2) = convert_float4(as_uchar4(s23)); #if scn == 4 *((float4*) src_pix2 + 3) = convert_float4(as_uchar4(s24)); #endif uchar4 y1, y2; y1.x = convert_uchar_sat(fma(coeffs[0], src_pix1[ 2-bidx], fma(coeffs[1], src_pix1[ 1], fma(coeffs[2], src_pix1[ bidx], 16.5f)))); y1.y = convert_uchar_sat(fma(coeffs[0], src_pix1[ scn+2-bidx], fma(coeffs[1], src_pix1[ scn+1], fma(coeffs[2], src_pix1[ scn+bidx], 16.5f)))); y1.z = convert_uchar_sat(fma(coeffs[0], src_pix1[2*scn+2-bidx], fma(coeffs[1], src_pix1[2*scn+1], fma(coeffs[2], src_pix1[2*scn+bidx], 16.5f)))); y1.w = convert_uchar_sat(fma(coeffs[0], src_pix1[3*scn+2-bidx], fma(coeffs[1], src_pix1[3*scn+1], fma(coeffs[2], src_pix1[3*scn+bidx], 16.5f)))); y2.x = convert_uchar_sat(fma(coeffs[0], src_pix2[ 2-bidx], fma(coeffs[1], src_pix2[ 1], fma(coeffs[2], src_pix2[ bidx], 16.5f)))); y2.y = convert_uchar_sat(fma(coeffs[0], src_pix2[ scn+2-bidx], fma(coeffs[1], src_pix2[ scn+1], fma(coeffs[2], src_pix2[ scn+bidx], 16.5f)))); y2.z = convert_uchar_sat(fma(coeffs[0], src_pix2[2*scn+2-bidx], fma(coeffs[1], src_pix2[2*scn+1], fma(coeffs[2], src_pix2[2*scn+bidx], 16.5f)))); y2.w = convert_uchar_sat(fma(coeffs[0], src_pix2[3*scn+2-bidx], fma(coeffs[1], src_pix2[3*scn+1], fma(coeffs[2], src_pix2[3*scn+bidx], 16.5f)))); *((__global int*) ydst1) = as_int(y1); *((__global int*) ydst2) = as_int(y2); float uv[4] = { fma(coeffs[3], src_pix1[ 2-bidx], fma(coeffs[4], src_pix1[ 1], fma(coeffs[5], src_pix1[ bidx], 128.5f))), fma(coeffs[5], src_pix1[ 2-bidx], fma(coeffs[6], src_pix1[ 1], fma(coeffs[7], src_pix1[ bidx], 128.5f))), fma(coeffs[3], src_pix1[2*scn+2-bidx], fma(coeffs[4], src_pix1[2*scn+1], fma(coeffs[5], src_pix1[2*scn+bidx], 128.5f))), fma(coeffs[5], src_pix1[2*scn+2-bidx], fma(coeffs[6], src_pix1[2*scn+1], fma(coeffs[7], src_pix1[2*scn+bidx], 128.5f))) }; udst[0] = convert_uchar_sat(uv[uidx] ); vdst[0] = convert_uchar_sat(uv[1 - uidx]); udst[1] = convert_uchar_sat(uv[2 + uidx]); vdst[1] = convert_uchar_sat(uv[3 - uidx]); #else float4 src_pix1 = convert_float4(vload4(0, src1)); float4 src_pix2 = convert_float4(vload4(0, src1+scn)); float4 src_pix3 = convert_float4(vload4(0, src2)); float4 src_pix4 = convert_float4(vload4(0, src2+scn)); ydst1[0] = convert_uchar_sat(fma(coeffs[0], src_pix1.R_COMP, fma(coeffs[1], src_pix1.G_COMP, fma(coeffs[2], src_pix1.B_COMP, 16.5f)))); ydst1[1] = convert_uchar_sat(fma(coeffs[0], src_pix2.R_COMP, fma(coeffs[1], src_pix2.G_COMP, fma(coeffs[2], src_pix2.B_COMP, 16.5f)))); ydst2[0] = convert_uchar_sat(fma(coeffs[0], src_pix3.R_COMP, fma(coeffs[1], src_pix3.G_COMP, fma(coeffs[2], src_pix3.B_COMP, 16.5f)))); ydst2[1] = convert_uchar_sat(fma(coeffs[0], src_pix4.R_COMP, fma(coeffs[1], src_pix4.G_COMP, fma(coeffs[2], src_pix4.B_COMP, 16.5f)))); float uv[2] = { fma(coeffs[3], src_pix1.R_COMP, fma(coeffs[4], src_pix1.G_COMP, fma(coeffs[5], src_pix1.B_COMP, 128.5f))), fma(coeffs[5], src_pix1.R_COMP, fma(coeffs[6], src_pix1.G_COMP, fma(coeffs[7], src_pix1.B_COMP, 128.5f))) }; udst[0] = convert_uchar_sat(uv[uidx] ); vdst[0] = convert_uchar_sat(uv[1-uidx]); #endif ++y; src_index += 2*src_step; ydst_index += 2*dst_step; } } } } #endif __kernel void YUV2RGB_422(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols / 2) { __global const uchar* src = srcptr + mad24(y, src_step, (x << 2) + src_offset); __global uchar* dst = dstptr + mad24(y, dst_step, mad24(x << 1, dcn, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows ) { __constant float* coeffs = c_YUV2RGBCoeffs_420; #ifndef USE_OPTIMIZED_LOAD float U = ((float) src[uidx]) - HALF_MAX_NUM; float V = ((float) src[(2 + uidx) % 4]) - HALF_MAX_NUM; float y00 = max(0.f, ((float) src[yidx]) - 16.f) * coeffs[0]; float y01 = max(0.f, ((float) src[yidx + 2]) - 16.f) * coeffs[0]; #else int load_src = *((__global int*) src); float vec_src[4] = { load_src & 0xff, (load_src >> 8) & 0xff, (load_src >> 16) & 0xff, (load_src >> 24) & 0xff}; float U = vec_src[uidx] - HALF_MAX_NUM; float V = vec_src[(2 + uidx) % 4] - HALF_MAX_NUM; float y00 = max(0.f, vec_src[yidx] - 16.f) * coeffs[0]; float y01 = max(0.f, vec_src[yidx + 2] - 16.f) * coeffs[0]; #endif float ruv = fma(coeffs[4], V, 0.5f); float guv = fma(coeffs[3], V, fma(coeffs[2], U, 0.5f)); float buv = fma(coeffs[1], U, 0.5f); dst[2 - bidx] = convert_uchar_sat(y00 + ruv); dst[1] = convert_uchar_sat(y00 + guv); dst[bidx] = convert_uchar_sat(y00 + buv); #if dcn == 4 dst[3] = 255; #endif dst[dcn + 2 - bidx] = convert_uchar_sat(y01 + ruv); dst[dcn + 1] = convert_uchar_sat(y01 + guv); dst[dcn + bidx] = convert_uchar_sat(y01 + buv); #if dcn == 4 dst[7] = 255; #endif } ++y; src += src_step; dst += dst_step; } } } __constant float c_RGB2YCrCbCoeffs_f[5] = {R2YF, G2YF, B2YF, YCRF, YCBF}; __constant int c_RGB2YCrCbCoeffs_i[5] = {R2Y, G2Y, B2Y, YCRI, YCBI}; __kernel void RGB2YCrCb(__global const uchar* srcptr, int src_step, int src_offset, __global uchar* dstptr, int dst_step, int dt_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dt_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const DATA_TYPE* src = (__global const DATA_TYPE*)(srcptr + src_index); __global DATA_TYPE* dst = (__global DATA_TYPE*)(dstptr + dst_index); DATA_TYPE_4 src_pix = vload4(0, src); DATA_TYPE b = src_pix.B_COMP, g = src_pix.G_COMP, r = src_pix.R_COMP; #ifdef DEPTH_5 __constant float * coeffs = c_RGB2YCrCbCoeffs_f; DATA_TYPE Y = fma(b, coeffs[2], fma(g, coeffs[1], r * coeffs[0])); DATA_TYPE Cr = fma(r - Y, coeffs[3], HALF_MAX_NUM); DATA_TYPE Cb = fma(b - Y, coeffs[4], HALF_MAX_NUM); #else __constant int * coeffs = c_RGB2YCrCbCoeffs_i; int delta = HALF_MAX_NUM * (1 << yuv_shift); int Y = CV_DESCALE(mad24(b, coeffs[2], mad24(g, coeffs[1], mul24(r, coeffs[0]))), yuv_shift); int Cr = CV_DESCALE(mad24(r - Y, coeffs[3], delta), yuv_shift); int Cb = CV_DESCALE(mad24(b - Y, coeffs[4], delta), yuv_shift); #endif dst[0] = SAT_CAST( Y ); dst[1] = SAT_CAST( Cr ); dst[2] = SAT_CAST( Cb ); ++y; dst_index += dst_step; src_index += src_step; } } } } __constant float c_YCrCb2RGBCoeffs_f[4] = { CR2RF, CR2GF, CB2GF, CB2BF }; __constant int c_YCrCb2RGBCoeffs_i[4] = { CR2RI, CR2GI, CB2GI, CB2BI }; __kernel void YCrCb2RGB(__global const uchar* src, int src_step, int src_offset, __global uchar* dst, int dst_step, int dst_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1) * PIX_PER_WI_Y; if (x < cols) { int src_index = mad24(y, src_step, mad24(x, scnbytes, src_offset)); int dst_index = mad24(y, dst_step, mad24(x, dcnbytes, dst_offset)); #pragma unroll for (int cy = 0; cy < PIX_PER_WI_Y; ++cy) { if (y < rows) { __global const DATA_TYPE * srcptr = (__global const DATA_TYPE*)(src + src_index); __global DATA_TYPE * dstptr = (__global DATA_TYPE*)(dst + dst_index); DATA_TYPE_4 src_pix = vload4(0, srcptr); DATA_TYPE yp = src_pix.x, cr = src_pix.y, cb = src_pix.z; #ifdef DEPTH_5 __constant float * coeff = c_YCrCb2RGBCoeffs_f; float r = fma(coeff[0], cr - HALF_MAX_NUM, yp); float g = fma(coeff[1], cr - HALF_MAX_NUM, fma(coeff[2], cb - HALF_MAX_NUM, yp)); float b = fma(coeff[3], cb - HALF_MAX_NUM, yp); #else __constant int * coeff = c_YCrCb2RGBCoeffs_i; int r = yp + CV_DESCALE(coeff[0] * (cr - HALF_MAX_NUM), yuv_shift); int g = yp + CV_DESCALE(mad24(coeff[1], cr - HALF_MAX_NUM, coeff[2] * (cb - HALF_MAX_NUM)), yuv_shift); int b = yp + CV_DESCALE(coeff[3] * (cb - HALF_MAX_NUM), yuv_shift); #endif dstptr[(bidx^2)] = SAT_CAST(r); dstptr[1] = SAT_CAST(g); dstptr[bidx] = SAT_CAST(b); #if dcn == 4 dstptr[3] = MAX_NUM; #endif ++y; dst_index += dst_step; src_index += src_step; } } } } 5c9da97816c27d6319efa89b2fd7c1ea#ifdef BORDER_CONSTANT #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, maxV) \ { \ x = max(min(x, maxV - 1), 0); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, maxV) \ { \ if (x < 0) \ x -= ((x - maxV + 1) / maxV) * maxV; \ if (x >= maxV) \ x %= maxV; \ } #elif defined(BORDER_REFLECT) || defined(BORDER_REFLECT101) #define EXTRAPOLATE_(x, maxV, delta) \ { \ if (maxV == 1) \ x = 0; \ else \ do \ { \ if ( x < 0 ) \ x = -x - 1 + delta; \ else \ x = maxV - 1 - (x - maxV) - delta; \ } \ while (x >= maxV || x < 0); \ } #ifdef BORDER_REFLECT #define EXTRAPOLATE(x, maxV) EXTRAPOLATE_(x, maxV, 0) #else #define EXTRAPOLATE(x, maxV) EXTRAPOLATE_(x, maxV, 1) #endif #else #error No extrapolation method #endif #define THREADS 256 __kernel void corner(__global const float * Dx, int dx_step, int dx_offset, int dx_whole_rows, int dx_whole_cols, __global const float * Dy, int dy_step, int dy_offset, int dy_whole_rows, int dy_whole_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, float k) { int col = get_local_id(0); int gX = get_group_id(0); int gY = get_group_id(1); int gly = get_global_id(1); int dx_x_off = (dx_offset % dx_step) >> 2; int dx_y_off = dx_offset / dx_step; int dy_x_off = (dy_offset % dy_step) >> 2; int dy_y_off = dy_offset / dy_step; int dst_x_off = (dst_offset % dst_step) >> 2; int dst_y_off = dst_offset / dst_step; int dx_startX = gX * (THREADS-ksX+1) - anX + dx_x_off; int dx_startY = (gY << 1) - anY + dx_y_off; int dy_startX = gX * (THREADS-ksX+1) - anX + dy_x_off; int dy_startY = (gY << 1) - anY + dy_y_off; int dst_startX = gX * (THREADS-ksX+1) + dst_x_off; int dst_startY = (gY << 1) + dst_y_off; float data[3][ksY+1]; __local float temp[6][THREADS]; #ifdef BORDER_CONSTANT for (int i=0; i < ksY+1; i++) { bool dx_con = dx_startX+col >= 0 && dx_startX+col < dx_whole_cols && dx_startY+i >= 0 && dx_startY+i < dx_whole_rows; int indexDx = mad24(dx_startY+i, dx_step>>2, dx_startX+col); float dx_s = dx_con ? Dx[indexDx] : 0.0f; bool dy_con = dy_startX+col >= 0 && dy_startX+col < dy_whole_cols && dy_startY+i >= 0 && dy_startY+i < dy_whole_rows; int indexDy = mad24(dy_startY+i, dy_step>>2, dy_startX+col); float dy_s = dy_con ? Dy[indexDy] : 0.0f; data[0][i] = dx_s * dx_s; data[1][i] = dx_s * dy_s; data[2][i] = dy_s * dy_s; } #else int clamped_col = min(2*dst_cols, col); for (int i=0; i < ksY+1; i++) { int dx_selected_row = dx_startY+i, dx_selected_col = dx_startX+clamped_col; EXTRAPOLATE(dx_selected_row, dx_whole_rows) EXTRAPOLATE(dx_selected_col, dx_whole_cols) float dx_s = Dx[mad24(dx_selected_row, dx_step>>2, dx_selected_col)]; int dy_selected_row = dy_startY+i, dy_selected_col = dy_startX+clamped_col; EXTRAPOLATE(dy_selected_row, dy_whole_rows) EXTRAPOLATE(dy_selected_col, dy_whole_cols) float dy_s = Dy[mad24(dy_selected_row, dy_step>>2, dy_selected_col)]; data[0][i] = dx_s * dx_s; data[1][i] = dx_s * dy_s; data[2][i] = dy_s * dy_s; } #endif float sum0 = 0.0f, sum1 = 0.0f, sum2 = 0.0f; for (int i=1; i < ksY; i++) { sum0 += data[0][i]; sum1 += data[1][i]; sum2 += data[2][i]; } float sum01 = sum0 + data[0][0]; float sum02 = sum0 + data[0][ksY]; temp[0][col] = sum01; temp[1][col] = sum02; float sum11 = sum1 + data[1][0]; float sum12 = sum1 + data[1][ksY]; temp[2][col] = sum11; temp[3][col] = sum12; float sum21 = sum2 + data[2][0]; float sum22 = sum2 + data[2][ksY]; temp[4][col] = sum21; temp[5][col] = sum22; barrier(CLK_LOCAL_MEM_FENCE); if (col < (THREADS - (ksX - 1))) { col += anX; int posX = dst_startX - dst_x_off + col - anX; int posY = (gly << 1); int till = (ksX + 1) & 1; float tmp_sum[6] = { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f }; for (int k=0; k<6; k++) { float temp_sum = 0; for (int i=-anX; i<=anX - till; i++) temp_sum += temp[k][col+i]; tmp_sum[k] = temp_sum; } #ifdef CORNER_HARRIS if (posX < dst_cols && (posY) < dst_rows) { int dst_index = mad24(dst_step, dst_startY, (int)sizeof(float) * (dst_startX + col - anX)); *(__global float *)(dst + dst_index) = tmp_sum[0] * tmp_sum[4] - tmp_sum[2] * tmp_sum[2] - k * (tmp_sum[0] + tmp_sum[4]) * (tmp_sum[0] + tmp_sum[4]); } if (posX < dst_cols && (posY + 1) < dst_rows) { int dst_index = mad24(dst_step, dst_startY + 1, (int)sizeof(float) * (dst_startX + col - anX)); *(__global float *)(dst + dst_index) = tmp_sum[1] * tmp_sum[5] - tmp_sum[3] * tmp_sum[3] - k * (tmp_sum[1] + tmp_sum[5]) * (tmp_sum[1] + tmp_sum[5]); } #elif defined CORNER_MINEIGENVAL if (posX < dst_cols && (posY) < dst_rows) { int dst_index = mad24(dst_step, dst_startY, (int)sizeof(float) * (dst_startX + col - anX)); float a = tmp_sum[0] * 0.5f; float b = tmp_sum[2]; float c = tmp_sum[4] * 0.5f; *(__global float *)(dst + dst_index) = (float)((a+c) - native_sqrt((a-c)*(a-c) + b*b)); } if (posX < dst_cols && (posY + 1) < dst_rows) { int dst_index = mad24(dst_step, dst_startY + 1, (int)sizeof(float) * (dst_startX + col - anX)); float a = tmp_sum[1] * 0.5f; float b = tmp_sum[3]; float c = tmp_sum[5] * 0.5f; *(__global float *)(dst + dst_index) = (float)((a+c) - native_sqrt((a-c)*(a-c) + b*b)); } #else #error "No such corners type" #endif } } 0b0ba9ee4305009cb2433737f7ed5bcdcovardata#ifdef BORDER_CONSTANT #define EXTRAPOLATE(x, maxV) #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, maxV) \ { \ (x) = clamp((x), 0, (maxV)-1); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, maxV) \ { \ (x) = ( (x) + (maxV) ) % (maxV); \ } #elif defined BORDER_REFLECT #define EXTRAPOLATE(x, maxV) \ { \ (x) = min( mad24((maxV)-1,2,-(x))+1 , max((x),-(x)-1) ); \ } #elif defined BORDER_REFLECT_101 || defined BORDER_REFLECT101 #define EXTRAPOLATE(x, maxV) \ { \ (x) = min( mad24((maxV)-1,2,-(x)), max((x),-(x)) ); \ } #else #error No extrapolation method #endif #define SRC(_x,_y) convert_float(((global SRCTYPE*)(Src+(_y)*src_step))[_x]) #ifdef BORDER_CONSTANT #define ELEM(_x,_y,r_edge,t_edge,const_v) (_x)<0 | (_x) >= (r_edge) | (_y)<0 | (_y) >= (t_edge) ? (const_v) : SRC((_x),(_y)) #else #define ELEM(_x,_y,r_edge,t_edge,const_v) SRC((_x),(_y)) #endif #define DSTX(_x,_y) (((global float*)(DstX+DstXOffset+(_y)*DstXPitch))[_x]) #define DSTY(_x,_y) (((global float*)(DstY+DstYOffset+(_y)*DstYPitch))[_x]) #define INIT_AND_READ_LOCAL_SOURCE(width, height, fill_const, kernel_border) \ int srcX = x + srcOffsetX - (kernel_border); \ int srcY = y + srcOffsetY - (kernel_border); \ int xb = srcX; \ int yb = srcY; \ \ EXTRAPOLATE(xb, (width)); \ EXTRAPOLATE(yb, (height)); \ lsmem[liy][lix] = ELEM(xb, yb, (width), (height), (fill_const) ); \ \ if(lix < ((kernel_border)*2)) \ { \ int xb = srcX+BLK_X; \ EXTRAPOLATE(xb,(width)); \ lsmem[liy][lix+BLK_X] = ELEM(xb, yb, (width), (height), (fill_const) ); \ } \ if(liy< ((kernel_border)*2)) \ { \ int yb = srcY+BLK_Y; \ EXTRAPOLATE(yb, (height)); \ lsmem[liy+BLK_Y][lix] = ELEM(xb, yb, (width), (height), (fill_const) ); \ } \ if(lix<((kernel_border)*2) && liy<((kernel_border)*2)) \ { \ int xb = srcX+BLK_X; \ int yb = srcY+BLK_Y; \ EXTRAPOLATE(xb,(width)); \ EXTRAPOLATE(yb,(height)); \ lsmem[liy+BLK_Y][lix+BLK_X] = ELEM(xb, yb, (width), (height), (fill_const) ); \ } __kernel void sobel3(__global const uchar * Src, int src_step, int srcOffsetX, int srcOffsetY, __global uchar * DstX, int DstXPitch, int DstXOffset, __global uchar * DstY, int DstYPitch, int DstYOffset, int dstHeight, int dstWidth, int height, int width, float scale) { __local float lsmem[BLK_Y+2][BLK_X+2]; int lix = get_local_id(0); int liy = get_local_id(1); int x = (int)get_global_id(0); int y = (int)get_global_id(1); INIT_AND_READ_LOCAL_SOURCE(width, height, 0, 1) barrier(CLK_LOCAL_MEM_FENCE); if( x >= dstWidth || y >=dstHeight ) return; float u1 = lsmem[liy][lix]; float u2 = lsmem[liy][lix+1]; float u3 = lsmem[liy][lix+2]; float m1 = lsmem[liy+1][lix]; float m3 = lsmem[liy+1][lix+2]; float b1 = lsmem[liy+2][lix]; float b2 = lsmem[liy+2][lix+1]; float b3 = lsmem[liy+2][lix+2]; #ifdef SCHARR DSTX(x,y) = mad(10.0f, m3 - m1, 3.0f * (u3 - u1 + b3 - b1)) * scale; DSTY(x,y) = mad(10.0f, b2 - u2, 3.0f * (b1 - u1 + b3 - u3)) * scale; #else DSTX(x,y) = mad(2.0f, m3 - m1, u3 - u1 + b3 - b1) * scale; DSTY(x,y) = mad(2.0f, b2 - u2, b1 - u1 + b3 - u3) * scale; #endif } __kernel void sobel5(__global const uchar * Src, int src_step, int srcOffsetX, int srcOffsetY, __global uchar * DstX, int DstXPitch, int DstXOffset, __global uchar * DstY, int DstYPitch, int DstYOffset, int dstHeight, int dstWidth, int height, int width, float scale) { __local float lsmem[BLK_Y+4][BLK_X+4]; int lix = get_local_id(0); int liy = get_local_id(1); int x = (int)get_global_id(0); int y = (int)get_global_id(1); INIT_AND_READ_LOCAL_SOURCE(width, height, 0, 2) barrier(CLK_LOCAL_MEM_FENCE); if( x >= dstWidth || y >=dstHeight ) return; float t1 = lsmem[liy][lix]; float t2 = lsmem[liy][lix+1]; float t3 = lsmem[liy][lix+2]; float t4 = lsmem[liy][lix+3]; float t5 = lsmem[liy][lix+4]; float u1 = lsmem[liy+1][lix]; float u2 = lsmem[liy+1][lix+1]; float u3 = lsmem[liy+1][lix+2]; float u4 = lsmem[liy+1][lix+3]; float u5 = lsmem[liy+1][lix+4]; float m1 = lsmem[liy+2][lix]; float m2 = lsmem[liy+2][lix+1]; float m4 = lsmem[liy+2][lix+3]; float m5 = lsmem[liy+2][lix+4]; float l1 = lsmem[liy+3][lix]; float l2 = lsmem[liy+3][lix+1]; float l3 = lsmem[liy+3][lix+2]; float l4 = lsmem[liy+3][lix+3]; float l5 = lsmem[liy+3][lix+4]; float b1 = lsmem[liy+4][lix]; float b2 = lsmem[liy+4][lix+1]; float b3 = lsmem[liy+4][lix+2]; float b4 = lsmem[liy+4][lix+3]; float b5 = lsmem[liy+4][lix+4]; DSTX(x,y) = scale * mad(12.0f, m4 - m2, mad(6.0f, m5 - m1, mad(8.0f, u4 - u2 + l4 - l2, mad(4.0f, u5 - u1 + l5 - l1, mad(2.0f, t4 - t2 + b4 - b2, t5 - t1 + b5 - b1 ) ) ) ) ); DSTY(x,y) = scale * mad(12.0f, l3 - u3, mad(6.0f, b3 - t3, mad(8.0f, l2 - u2 + l4 - u4, mad(4.0f, b2 - t2 + b4 - t4, mad(2.0f, l1 - u1 + l5 - u5, b1 - t1 + b5 - t5 ) ) ) ) ); } __kernel void sobel7(__global const uchar * Src, int src_step, int srcOffsetX, int srcOffsetY, __global uchar * DstX, int DstXPitch, int DstXOffset, __global uchar * DstY, int DstYPitch, int DstYOffset, int dstHeight, int dstWidth, int height, int width, float scale) { __local float lsmem[BLK_Y+6][BLK_X+6]; int lix = get_local_id(0); int liy = get_local_id(1); int x = (int)get_global_id(0); int y = (int)get_global_id(1); INIT_AND_READ_LOCAL_SOURCE(width, height, 0, 3) barrier(CLK_LOCAL_MEM_FENCE); if( x >= dstWidth || y >=dstHeight ) return; float tt1 = lsmem[liy][lix]; float tt2 = lsmem[liy][lix+1]; float tt3 = lsmem[liy][lix+2]; float tt4 = lsmem[liy][lix+3]; float tt5 = lsmem[liy][lix+4]; float tt6 = lsmem[liy][lix+5]; float tt7 = lsmem[liy][lix+6]; float t1 = lsmem[liy+1][lix]; float t2 = lsmem[liy+1][lix+1]; float t3 = lsmem[liy+1][lix+2]; float t4 = lsmem[liy+1][lix+3]; float t5 = lsmem[liy+1][lix+4]; float t6 = lsmem[liy+1][lix+5]; float t7 = lsmem[liy+1][lix+6]; float u1 = lsmem[liy+2][lix]; float u2 = lsmem[liy+2][lix+1]; float u3 = lsmem[liy+2][lix+2]; float u4 = lsmem[liy+2][lix+3]; float u5 = lsmem[liy+2][lix+4]; float u6 = lsmem[liy+2][lix+5]; float u7 = lsmem[liy+2][lix+6]; float m1 = lsmem[liy+3][lix]; float m2 = lsmem[liy+3][lix+1]; float m3 = lsmem[liy+3][lix+2]; float m5 = lsmem[liy+3][lix+4]; float m6 = lsmem[liy+3][lix+5]; float m7 = lsmem[liy+3][lix+6]; float l1 = lsmem[liy+4][lix]; float l2 = lsmem[liy+4][lix+1]; float l3 = lsmem[liy+4][lix+2]; float l4 = lsmem[liy+4][lix+3]; float l5 = lsmem[liy+4][lix+4]; float l6 = lsmem[liy+4][lix+5]; float l7 = lsmem[liy+4][lix+6]; float b1 = lsmem[liy+5][lix]; float b2 = lsmem[liy+5][lix+1]; float b3 = lsmem[liy+5][lix+2]; float b4 = lsmem[liy+5][lix+3]; float b5 = lsmem[liy+5][lix+4]; float b6 = lsmem[liy+5][lix+5]; float b7 = lsmem[liy+5][lix+6]; float bb1 = lsmem[liy+6][lix]; float bb2 = lsmem[liy+6][lix+1]; float bb3 = lsmem[liy+6][lix+2]; float bb4 = lsmem[liy+6][lix+3]; float bb5 = lsmem[liy+6][lix+4]; float bb6 = lsmem[liy+6][lix+5]; float bb7 = lsmem[liy+6][lix+6]; DSTX(x,y) = scale * mad(100.0f, m5 - m3, mad(80.0f, m6 - m2, mad(20.0f, m7 - m1, mad(75.0f, u5 - u3 + l5 - l3, mad(60.0f, u6 - u2 + l6 - l2, mad(15.0f, u7 - u1 + l7 - l1, mad(30.0f, t5 - t3 + b5 - b3, mad(24.0f, t6 - t2 + b6 - b2, mad(6.0f, t7 - t1 + b7 - b1, mad(5.0f, tt5 - tt3 + bb5 - bb3, mad(4.0f, tt6 - tt2 + bb6 - bb2, tt7 - tt1 + bb7 - bb1 ) ) ) ) ) ) ) ) ) ) ); DSTY(x,y) = scale * mad(100.0f, l4 - u4, mad(80.0f, b4 - t4, mad(20.0f, bb4 - tt4, mad(75.0f, l5 - u5 + l3 - u3, mad(60.0f, b5 - t5 + b3 - t3, mad(15.0f, bb5 - tt5 + bb3 - tt3, mad(30.0f, l6 - u6 + l2 - u2, mad(24.0f, b6 - t6 + b2 - t2, mad(6.0f, bb6 - tt6 + bb2 - tt2, mad(5.0f, l7 - u7 + l1 - u1, mad(4.0f, b7 - t7 + b1 - t1, bb7 - tt7 + bb1 - tt1 ) ) ) ) ) ) ) ) ) ) ); } 97cb1ffd4e7c1bc93caba596bf9c6e55#ifdef EXTRA_EXTRAPOLATION #ifdef BORDER_CONSTANT #define EXTRAPOLATE(x, minV, maxV) #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, minV, maxV) \ { \ (x) = clamp((x), (minV), (maxV)-1); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, minV, maxV) \ { \ if ((x) < (minV)) \ (x) += ((maxV) - (minV)); \ if ((x) >= (maxV)) \ (x) -= ((maxV) - (minV)); \ } #elif defined BORDER_REFLECT #define EXTRAPOLATE(x, minV, maxV) \ { \ if ((maxV) - (minV) == 1) \ (x) = (minV); \ else \ while ((x) >= (maxV) || (x) < (minV)) \ { \ if ((x) < (minV)) \ (x) = (minV) - ((x) - (minV)) - 1; \ else \ (x) = (maxV) - 1 - ((x) - (maxV)); \ } \ } #elif defined BORDER_REFLECT_101 || defined BORDER_REFLECT101 #define EXTRAPOLATE(x, minV, maxV) \ { \ if ((maxV) - (minV) == 1) \ (x) = (minV); \ else \ while ((x) >= (maxV) || (x) < (minV)) \ { \ if ((x) < (minV)) \ (x) = (minV) - ((x) - (minV)); \ else \ (x) = (maxV) - 1 - ((x) - (maxV)) - 1; \ } \ } #else #error No extrapolation method #endif #else #ifdef BORDER_CONSTANT #define EXTRAPOLATE(x, minV, maxV) #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, minV, maxV) \ { \ (x) = clamp((x), (minV), (maxV)-1); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, minV, maxV) \ { \ if ((x) < (minV)) \ (x) += (((minV) - (x)) / ((maxV) - (minV)) + 1) * ((maxV) - (minV)); \ if ((x) >= (maxV)) \ (x) = ((x) - (minV)) % ((maxV) - (minV)) + (minV); \ } #elif defined BORDER_REFLECT #define EXTRAPOLATE(x, minV, maxV) \ { \ (x) = clamp((x), 2 * (minV) - (x) - 1, 2 * (maxV) - (x) - 1); \ } #elif defined BORDER_REFLECT_101 || defined BORDER_REFLECT101 #define EXTRAPOLATE(x, minV, maxV) \ { \ (x) = clamp((x), 2 * (minV) - (x), 2 * (maxV) - (x) - 2); \ } #else #error No extrapolation method #endif #endif #ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if cn != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define SRCSIZE (int)sizeof(srcT) #define DSTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define SRCSIZE (int)sizeof(srcT1) * cn #define DSTSIZE (int)sizeof(dstT1) * cn #endif #define UPDATE_COLUMN_SUM(col) \ __constant WT1 * k = &kernelData[KERNEL_SIZE_Y2_ALIGNED * col]; \ WT tmp_sum = 0; \ for (int sy = 0; sy < KERNEL_SIZE_Y; sy++) \ tmp_sum += data[sy] * k[sy]; \ sumOfCols[local_id] = tmp_sum; \ barrier(CLK_LOCAL_MEM_FENCE); #define UPDATE_TOTAL_SUM(col) \ int id = local_id + col - ANCHOR_X; \ if (id >= 0 && id < LOCAL_SIZE) \ total_sum += sumOfCols[id]; \ barrier(CLK_LOCAL_MEM_FENCE); #define noconvert #define DIG(a) a, __constant WT1 kernelData[] = { COEFF }; __kernel void filter2D(__global const uchar * srcptr, int src_step, int srcOffsetX, int srcOffsetY, int srcEndX, int srcEndY, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols, float delta) { int local_id = get_local_id(0); int x = local_id + (LOCAL_SIZE - (KERNEL_SIZE_X - 1)) * get_group_id(0) - ANCHOR_X; int y = get_global_id(1); WT data[KERNEL_SIZE_Y]; __local WT sumOfCols[LOCAL_SIZE]; #ifdef BORDER_ISOLATED int srcBeginX = srcOffsetX; int srcBeginY = srcOffsetY; #else int srcBeginX = 0; int srcBeginY = 0; #endif int srcX = srcOffsetX + x; int srcY = srcOffsetY + y - ANCHOR_Y; __global dstT *dst = (__global dstT *)(dstptr + mad24(y, dst_step, mad24(x, DSTSIZE, dst_offset))); #ifdef BORDER_CONSTANT if (srcX >= srcBeginX && srcX < srcEndX) { for (int sy = 0, sy_index = 0; sy < KERNEL_SIZE_Y; sy++, srcY++) { if (srcY >= srcBeginY && srcY < srcEndY) data[sy + sy_index] = convertToWT(loadpix(srcptr + mad24(srcY, src_step, srcX * SRCSIZE))); else data[sy + sy_index] = (WT)(0); } } else { for (int sy = 0, sy_index = 0; sy < KERNEL_SIZE_Y; sy++, srcY++) { data[sy + sy_index] = (WT)(0); } } #else EXTRAPOLATE(srcX, srcBeginX, srcEndX); for (int sy = 0, sy_index = 0; sy < KERNEL_SIZE_Y; sy++, srcY++) { int tempY = srcY; EXTRAPOLATE(tempY, srcBeginY, srcEndY); data[sy + sy_index] = convertToWT(loadpix(srcptr + mad24(tempY, src_step, srcX * SRCSIZE))); } #endif WT total_sum = 0; for (int sx = 0; sx < ANCHOR_X; sx++) { UPDATE_COLUMN_SUM(sx); UPDATE_TOTAL_SUM(sx); } __constant WT1 * k = &kernelData[KERNEL_SIZE_Y2_ALIGNED * ANCHOR_X]; for (int sy = 0; sy < KERNEL_SIZE_Y; sy++) total_sum += data[sy] * k[sy]; for (int sx = ANCHOR_X + 1; sx < KERNEL_SIZE_X; sx++) { UPDATE_COLUMN_SUM(sx); UPDATE_TOTAL_SUM(sx); } if (local_id >= ANCHOR_X && local_id < LOCAL_SIZE - (KERNEL_SIZE_X - 1 - ANCHOR_X) && x >= 0 && x < cols) storepix(convertToDstT(total_sum + (WT)(delta)), dst); } 77e935928055f243ff9082b1879a0b2c#ifdef BORDER_REPLICATE #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? (l_edge) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? (r_edge)-1 : (addr)) #define ADDR_H(i, t_edge, b_edge) ((i) < (t_edge) ? (t_edge) :(i)) #define ADDR_B(i, b_edge, addr) ((i) >= (b_edge) ? (b_edge)-1 :(addr)) #endif #ifdef BORDER_REFLECT #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? -(i)-1 : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? -(i)-1+((r_edge)<<1) : (addr)) #define ADDR_H(i, t_edge, b_edge) ((i) < (t_edge) ? -(i)-1 : (i)) #define ADDR_B(i, b_edge, addr) ((i) >= (b_edge) ? -(i)-1+((b_edge)<<1) : (addr)) #endif #ifdef BORDER_REFLECT_101 #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? -(i) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? -(i)-2+((r_edge)<<1) : (addr)) #define ADDR_H(i, t_edge, b_edge) ((i) < (t_edge) ? -(i) : (i)) #define ADDR_B(i, b_edge, addr) ((i) >= (b_edge) ? -(i)-2+((b_edge)<<1) : (addr)) #endif #ifdef BORDER_WRAP #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? (i)+(r_edge) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? (i)-(r_edge) : (addr)) #define ADDR_H(i, t_edge, b_edge) ((i) < (t_edge) ? (i)+(b_edge) : (i)) #define ADDR_B(i, b_edge, addr) ((i) >= (b_edge) ? (i)-(b_edge) : (addr)) #endif #ifdef BORDER_ISOLATED #define ISOLATED_MIN(VAL) (VAL) #else #define ISOLATED_MIN(VAL) 0 #endif #ifdef EXTRA_EXTRAPOLATION #ifdef BORDER_CONSTANT #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) \ { \ x = max(min(x, maxX - 1), minX); \ y = max(min(y, maxY - 1), minY); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) \ { \ if (x < minX) \ x -= ((x - maxX + 1) / maxX) * maxX; \ if (x >= maxX) \ x %= maxX; \ if (y < minY) \ y -= ((y - maxY + 1) / maxY) * maxY; \ if (y >= maxY) \ y %= maxY; \ } #elif defined(BORDER_REFLECT) || defined(BORDER_REFLECT_101) #define EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, delta) \ { \ if (maxX - minX == 1) \ x = minX; \ else \ do \ { \ if (x < minX) \ x = minX - (x - minX) - 1 + delta; \ else \ x = maxX - 1 - (x - maxX) - delta; \ } \ while (x >= maxX || x < minX); \ \ if (maxY - minY == 1) \ y = minY; \ else \ do \ { \ if (y < minY) \ y = minY - (y - minY) - 1 + delta; \ else \ y = maxY - 1 - (y - maxY) - delta; \ } \ while (y >= maxY || y < minY); \ } #ifdef BORDER_REFLECT #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, 0) #elif defined(BORDER_REFLECT_101) || defined(BORDER_REFLECT101) #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, 1) #endif #else #error No extrapolation method #endif #else #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) \ { \ int _row = y - ISOLATED_MIN(minY), _col = x - ISOLATED_MIN(minX); \ _row = ADDR_H(_row, 0, maxY - ISOLATED_MIN(minY)); \ _row = ADDR_B(_row, maxY - ISOLATED_MIN(minY), _row); \ y = _row + ISOLATED_MIN(minY); \ \ _col = ADDR_L(_col, 0, maxX - ISOLATED_MIN(minX)); \ _col = ADDR_R(_col, maxX - ISOLATED_MIN(minX), _col); \ x = _col + ISOLATED_MIN(minX); \ } #endif #ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if cn != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define SRCSIZE (int)sizeof(srcT) #define DSTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define SRCSIZE (int)sizeof(srcT1) * cn #define DSTSIZE (int)sizeof(dstT1) * cn #endif #define noconvert struct RectCoords { int x1, y1, x2, y2; }; #ifdef BORDER_ISOLATED inline bool isBorder(const struct RectCoords bounds, int2 coord, int numPixels) { return (coord.x < bounds.x1 || coord.y < bounds.y1 || coord.x + numPixels > bounds.x2 || coord.y >= bounds.y2); } #else inline bool isBorder(const struct RectCoords bounds, int2 coord, int numPixels) { return (coord.x < 0 || coord.y < 0 || coord.x + numPixels > bounds.x2 || coord.y >= bounds.y2); } #endif inline WT getBorderPixel(const struct RectCoords bounds, int2 coord, __global const uchar* srcptr, int srcstep) { #ifdef BORDER_CONSTANT return (WT)(0); #else int selected_col = coord.x; int selected_row = coord.y; EXTRAPOLATE(selected_col, selected_row, bounds.x1, bounds.y1, bounds.x2, bounds.y2 ); coord = (int2)(selected_col, selected_row); __global const uchar* ptr = srcptr + mul24(coord.y, srcstep) + coord.x * SRCSIZE; return convertToWT(loadpix(ptr)); #endif } inline WT readSrcPixelSingle(int2 pos, __global const uchar* srcptr, int srcstep, const struct RectCoords srcCoords) { if (!isBorder(srcCoords, pos, 1)) { __global const uchar* ptr = srcptr + mul24(pos.y, srcstep) + pos.x * SRCSIZE; return convertToWT(loadpix(ptr)); } else { return getBorderPixel(srcCoords, pos, srcptr, srcstep); } } #define __CAT(x, y) x##y #define CAT(x, y) __CAT(x, y) #define vload1(OFFSET, PTR) (*(PTR + OFFSET)) #define PX_LOAD_VEC_TYPE CAT(srcT1, PX_LOAD_VEC_SIZE) #define PX_LOAD_FLOAT_VEC_TYPE CAT(WT1, PX_LOAD_VEC_SIZE) #if PX_LOAD_VEC_SIZE == 1 #define PX_LOAD_FLOAT_VEC_CONV (float) #elif PX_LOAD_VEC_SIZE == 2 #define PX_LOAD_FLOAT_VEC_CONV convert_float2 #elif PX_LOAD_VEC_SIZE == 3 #define PX_LOAD_FLOAT_VEC_CONV convert_float3 #elif PX_LOAD_VEC_SIZE == 4 #define PX_LOAD_FLOAT_VEC_CONV convert_float4 #endif #define PX_LOAD CAT(vload, PX_LOAD_VEC_SIZE) #define float1 float inline PX_LOAD_FLOAT_VEC_TYPE readSrcPixelGroup(int2 pos, __global const uchar* srcptr, int srcstep, const struct RectCoords srcCoords) { __global const srcT1* ptr = (__global const srcT1*) (srcptr + mul24(pos.y, srcstep) + pos.x * SRCSIZE); return PX_LOAD_FLOAT_VEC_CONV(PX_LOAD(0, ptr)); } #define LOOP1(VAR, STMT) (STMT); (VAR)++; #define LOOP2(VAR, STMT) LOOP1(VAR, STMT); (STMT); (VAR)++; #define LOOP3(VAR, STMT) LOOP2(VAR, STMT); (STMT); (VAR)++; #define LOOP4(VAR, STMT) LOOP3(VAR, STMT); (STMT); (VAR)++; #define LOOP5(VAR, STMT) LOOP4(VAR, STMT); (STMT); (VAR)++; #define LOOP6(VAR, STMT) LOOP5(VAR, STMT); (STMT); (VAR)++; #define LOOP7(VAR, STMT) LOOP6(VAR, STMT); (STMT); (VAR)++; #define LOOP8(VAR, STMT) LOOP7(VAR, STMT); (STMT); (VAR)++; #define LOOP9(VAR, STMT) LOOP8(VAR, STMT); (STMT); (VAR)++; #define LOOP10(VAR, STMT) LOOP9(VAR, STMT); (STMT); (VAR)++; #define LOOP11(VAR, STMT) LOOP10(VAR, STMT); (STMT); (VAR)++; #define LOOP12(VAR, STMT) LOOP11(VAR, STMT); (STMT); (VAR)++; #define LOOP13(VAR, STMT) LOOP12(VAR, STMT); (STMT); (VAR)++; #define LOOP(N, VAR, STMT) CAT(LOOP, N)((VAR), (STMT)) #define DIG(a) a, __constant WT1 kernelData[] = { COEFF }; __kernel void filter2DSmall(__global const uchar * srcptr, int src_step, int srcOffsetX, int srcOffsetY, int srcEndX, int srcEndY, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols, float delta) { const struct RectCoords srcCoords = { srcOffsetX, srcOffsetY, srcEndX, srcEndY }; const int startX = get_global_id(0) * PX_PER_WI_X; const int startY = get_global_id(1) * PX_PER_WI_Y; if ((startX >= cols) || (startY >= rows)) { return; } WT privateData[PX_PER_WI_Y + KERNEL_SIZE_Y - 1][PRIV_DATA_WIDTH]; int py = 0; LOOP(PX_LOAD_Y_ITERATIONS, py, { int y = startY + py; int px = 0; LOOP(PX_LOAD_X_ITERATIONS, px, { int x = startX + (px * PX_LOAD_NUM_PX); int2 srcPos = (int2)(srcCoords.x1 + x - ANCHOR_X, srcCoords.y1 + y - ANCHOR_Y); if (!isBorder(srcCoords, srcPos, PX_LOAD_NUM_PX)) { PX_LOAD_FLOAT_VEC_TYPE p = readSrcPixelGroup(srcPos, srcptr, src_step, srcCoords); *((PX_LOAD_FLOAT_VEC_TYPE*)&privateData[py][px * PX_LOAD_NUM_PX]) = p; } else { int lx = 0; LOOP(PX_LOAD_NUM_PX, lx, { WT p = readSrcPixelSingle(srcPos, srcptr, src_step, srcCoords); *((WT*)&privateData[py][px * PX_LOAD_NUM_PX + lx]) = p; srcPos.x++; }); } }); }); py = 0; LOOP(PX_PER_WI_Y, py, { int y = startY + py; int px = 0; LOOP(PX_PER_WI_X, px, { int x = startX + px; WT total_sum = 0; int sy = 0; int kernelIndex = 0; LOOP(KERNEL_SIZE_Y, sy, { int sx = 0; LOOP(KERNEL_SIZE_X, sx, { total_sum = mad(kernelData[kernelIndex++], privateData[py + sy][px + sx], total_sum); }); }); __global dstT* dstPtr = (__global dstT*)(dstptr + y * dst_step + dst_offset + x * DSTSIZE); storepix(convertToDstT(total_sum + (WT)(delta)), dstPtr); }); }); } 030d23b1d64d51e6485f8941af1e3fc3filterSepCol#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define READ_TIMES_COL ((2*(RADIUSY+LSIZE1)-1)/LSIZE1) #define RADIUS 1 #define noconvert #if CN != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define SRCSIZE (int)sizeof(srcT) #define DSTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define SRCSIZE (int)sizeof(srcT1)*3 #define DSTSIZE (int)sizeof(dstT1)*3 #endif #define DIG(a) a, #if defined(INTEGER_ARITHMETIC) __constant int mat_kernel[] = { COEFF }; #else __constant srcT1 mat_kernel[] = { COEFF }; #endif __kernel void col_filter(__global const uchar * src, int src_step, int src_offset, int src_whole_rows, int src_whole_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, float delta) { int x = get_global_id(0); int y = get_global_id(1); int l_x = get_local_id(0); int l_y = get_local_id(1); int start_addr = mad24(y, src_step, x * SRCSIZE); int end_addr = mad24(src_whole_rows - 1, src_step, src_whole_cols * SRCSIZE); srcT sum, temp[READ_TIMES_COL]; __local srcT LDS_DAT[LSIZE1 * READ_TIMES_COL][LSIZE0 + 1]; for (int i = 0; i < READ_TIMES_COL; ++i) { int current_addr = mad24(i, LSIZE1 * src_step, start_addr); current_addr = current_addr < end_addr ? current_addr : 0; temp[i] = loadpix(src + current_addr); } for (int i = 0; i < READ_TIMES_COL; ++i) LDS_DAT[mad24(i, LSIZE1, l_y)][l_x] = temp[i]; barrier(CLK_LOCAL_MEM_FENCE); sum = LDS_DAT[l_y + RADIUSY][l_x] * mat_kernel[RADIUSY] + (srcT)delta; for (int i = 1; i <= RADIUSY; ++i) { temp[0] = LDS_DAT[l_y + RADIUSY - i][l_x]; temp[1] = LDS_DAT[l_y + RADIUSY + i][l_x]; #if defined(INTEGER_ARITHMETIC) sum += mad24(temp[0],mat_kernel[RADIUSY - i], temp[1] * mat_kernel[RADIUSY + i]); #else sum += mad(temp[0], mat_kernel[RADIUSY - i], temp[1] * mat_kernel[RADIUSY + i]); #endif } if (x < dst_cols && y < dst_rows) { #if defined(SHIFT_BITS) && SHIFT_BITS > 0 dstT result = convertToDstT(convertToFloatT(sum) * (floatT)(1.0f / (1 << SHIFT_BITS))); #else dstT result = convertToDstT(sum); #endif start_addr = mad24(y, dst_step, mad24(DSTSIZE, x, dst_offset)); storepix(result, dst + start_addr); } } ab9607013c121ef09706d5eddedeebe9filterSepRow#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define READ_TIMES_ROW ((2*(RADIUSX+LSIZE0)-1)/LSIZE0) #define RADIUS 1 #ifdef BORDER_REPLICATE #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? (l_edge) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? (r_edge)-1 : (addr)) #endif #ifdef BORDER_REFLECT #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? -(i)-1 : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? -(i)-1+((r_edge)<<1) : (addr)) #endif #ifdef BORDER_REFLECT_101 #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? -(i) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? -(i)-2+((r_edge)<<1) : (addr)) #endif #ifdef BORDER_WRAP #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? (i)+(r_edge) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? (i)-(r_edge) : (addr)) #endif #ifdef EXTRA_EXTRAPOLATION #ifdef BORDER_CONSTANT #define ELEM(i,l_edge,r_edge,elem1,elem2) (i)<(l_edge) | (i) >= (r_edge) ? (elem1) : (elem2) #elif defined BORDER_REPLICATE #define EXTRAPOLATE(t, minT, maxT) \ { \ t = max(min(t, (maxT) - 1), (minT)); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, minT, maxT) \ { \ if (t < (minT)) \ t -= ((t - (maxT) + 1) / (maxT)) * (maxT); \ if (t >= (maxT)) \ t %= (maxT); \ } #elif defined(BORDER_REFLECT) || defined(BORDER_REFLECT_101) #define EXTRAPOLATE_(t, minT, maxT, delta) \ { \ if ((maxT) - (minT) == 1) \ t = (minT); \ else \ do \ { \ if (t < (minT)) \ t = (minT) - (t - (minT)) - 1 + delta; \ else \ t = (maxT) - 1 - (t - (maxT)) - delta; \ } \ while (t >= (maxT) || t < (minT)); \ \ } #ifdef BORDER_REFLECT #define EXTRAPOLATE(t, minT, maxT) EXTRAPOLATE_(t, minT, maxT, 0) #elif defined(BORDER_REFLECT_101) #define EXTRAPOLATE(t, minT, maxT) EXTRAPOLATE_(t, minT, maxT, 1) #endif #else #error No extrapolation method #endif #else #ifdef BORDER_CONSTANT #define ELEM(i,l_edge,r_edge,elem1,elem2) (i)<(l_edge) | (i) >= (r_edge) ? (elem1) : (elem2) #else #define EXTRAPOLATE(t, minT, maxT) \ { \ int _delta = t - (minT); \ _delta = ADDR_L(_delta, 0, (maxT) - (minT)); \ _delta = ADDR_R(_delta, (maxT) - (minT), _delta); \ t = _delta + (minT); \ } #endif #endif #define noconvert #if CN != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define SRCSIZE (int)sizeof(srcT) #define DSTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define SRCSIZE (int)sizeof(srcT1)*3 #define DSTSIZE (int)sizeof(dstT1)*3 #endif #define DIG(a) a, #if defined(INTEGER_ARITHMETIC) __constant int mat_kernel[] = { COEFF }; #else __constant dstT1 mat_kernel[] = { COEFF }; #endif #if defined(INTEGER_ARITHMETIC) #define dstT4 int4 #define convertDstVec convert_int4 #else #define dstT4 float4 #define convertDstVec convert_float4 #endif __kernel void row_filter_C1_D0(__global const uchar * src, int src_step_in_pixel, int src_offset_x, int src_offset_y, int src_cols, int src_rows, int src_whole_cols, int src_whole_rows, __global float * dst, int dst_step_in_pixel, int dst_cols, int dst_rows, int radiusy) { int x = get_global_id(0)<<2; int y = get_global_id(1); int l_x = get_local_id(0); int l_y = get_local_id(1); int start_x = x + src_offset_x - RADIUSX & 0xfffffffc; int offset = src_offset_x - RADIUSX & 3; int start_y = y + src_offset_y - radiusy; int start_addr = mad24(start_y, src_step_in_pixel, start_x); dstT4 sum; uchar4 temp[READ_TIMES_ROW]; __local uchar4 LDS_DAT[LSIZE1][READ_TIMES_ROW * LSIZE0 + 1]; #ifdef BORDER_CONSTANT int end_addr = mad24(src_whole_rows - 1, src_step_in_pixel, src_whole_cols); for (int i = 0; i < READ_TIMES_ROW; ++i) { int current_addr = mad24(i, LSIZE0 << 2, start_addr); current_addr = current_addr < end_addr && current_addr > 0 ? current_addr : 0; temp[i] = *(__global const uchar4 *)&src[current_addr]; } #ifdef BORDER_ISOLATED for (int i = 0; i < READ_TIMES_ROW; ++i) { temp[i].x = ELEM(start_x+i*LSIZE0*4, src_offset_x, src_offset_x + src_cols, 0, temp[i].x); temp[i].y = ELEM(start_x+i*LSIZE0*4+1, src_offset_x, src_offset_x + src_cols, 0, temp[i].y); temp[i].z = ELEM(start_x+i*LSIZE0*4+2, src_offset_x, src_offset_x + src_cols, 0, temp[i].z); temp[i].w = ELEM(start_x+i*LSIZE0*4+3, src_offset_x, src_offset_x + src_cols, 0, temp[i].w); temp[i] = ELEM(start_y, src_offset_y, src_offset_y + src_rows, (uchar4)0, temp[i]); } #else for (int i = 0; i < READ_TIMES_ROW; ++i) { temp[i].x = ELEM(start_x+i*LSIZE0*4, 0, src_whole_cols, 0, temp[i].x); temp[i].y = ELEM(start_x+i*LSIZE0*4+1, 0, src_whole_cols, 0, temp[i].y); temp[i].z = ELEM(start_x+i*LSIZE0*4+2, 0, src_whole_cols, 0, temp[i].z); temp[i].w = ELEM(start_x+i*LSIZE0*4+3, 0, src_whole_cols, 0, temp[i].w); temp[i] = ELEM(start_y, 0, src_whole_rows, (uchar4)0, temp[i]); } #endif #else #ifdef BORDER_ISOLATED int not_all_in_range = (start_xsrc_offset_x + src_cols)| (start_y= src_offset_y + src_rows); #else int not_all_in_range = (start_x<0) | (start_x + READ_TIMES_ROW*LSIZE0*4+4>src_whole_cols)| (start_y<0) | (start_y >= src_whole_rows); #endif int4 index[READ_TIMES_ROW], addr; int s_y; if (not_all_in_range) { for (int i = 0; i < READ_TIMES_ROW; ++i) { index[i] = (int4)(mad24(i, LSIZE0 << 2, start_x)) + (int4)(0, 1, 2, 3); #ifdef BORDER_ISOLATED EXTRAPOLATE(index[i].x, src_offset_x, src_offset_x + src_cols); EXTRAPOLATE(index[i].y, src_offset_x, src_offset_x + src_cols); EXTRAPOLATE(index[i].z, src_offset_x, src_offset_x + src_cols); EXTRAPOLATE(index[i].w, src_offset_x, src_offset_x + src_cols); #else EXTRAPOLATE(index[i].x, 0, src_whole_cols); EXTRAPOLATE(index[i].y, 0, src_whole_cols); EXTRAPOLATE(index[i].z, 0, src_whole_cols); EXTRAPOLATE(index[i].w, 0, src_whole_cols); #endif } s_y = start_y; #ifdef BORDER_ISOLATED EXTRAPOLATE(s_y, src_offset_y, src_offset_y + src_rows); #else EXTRAPOLATE(s_y, 0, src_whole_rows); #endif for (int i = 0; i < READ_TIMES_ROW; ++i) { addr = mad24((int4)s_y, (int4)src_step_in_pixel, index[i]); temp[i].x = src[addr.x]; temp[i].y = src[addr.y]; temp[i].z = src[addr.z]; temp[i].w = src[addr.w]; } } else { for (int i = 0; i < READ_TIMES_ROW; ++i) temp[i] = *(__global uchar4*)&src[mad24(i, LSIZE0 << 2, start_addr)]; } #endif for (int i = 0; i < READ_TIMES_ROW; ++i) LDS_DAT[l_y][mad24(i, LSIZE0, l_x)] = temp[i]; barrier(CLK_LOCAL_MEM_FENCE); sum = convertDstVec(vload4(0,(__local uchar *)&LDS_DAT[l_y][l_x]+RADIUSX+offset)) * mat_kernel[RADIUSX]; for (int i = 1; i <= RADIUSX; ++i) { temp[0] = vload4(0, (__local uchar*)&LDS_DAT[l_y][l_x] + RADIUSX + offset - i); temp[1] = vload4(0, (__local uchar*)&LDS_DAT[l_y][l_x] + RADIUSX + offset + i); #if defined(INTEGER_ARITHMETIC) sum += mad24(convertDstVec(temp[0]), mat_kernel[RADIUSX-i], convertDstVec(temp[1]) * mat_kernel[RADIUSX + i]); #else sum += mad(convertDstVec(temp[0]), mat_kernel[RADIUSX-i], convertDstVec(temp[1]) * mat_kernel[RADIUSX + i]); #endif } start_addr = mad24(y, dst_step_in_pixel, x); if ((x+3= 0 ? current_addr : 0; temp[i] = loadpix(src + current_addr); } #ifdef BORDER_ISOLATED for (int i = 0; i < READ_TIMES_ROW; ++i) { temp[i] = ELEM(mad24(i, LSIZE0, start_x), src_offset_x, src_offset_x + src_cols, (srcT)(0), temp[i]); temp[i] = ELEM(start_y, src_offset_y, src_offset_y + src_rows, (srcT)(0), temp[i]); } #else for (int i = 0; i < READ_TIMES_ROW; ++i) { temp[i] = ELEM(mad24(i, LSIZE0, start_x), 0, src_whole_cols, (srcT)(0), temp[i]); temp[i] = ELEM(start_y, 0, src_whole_rows, (srcT)(0), temp[i]); } #endif #else int index[READ_TIMES_ROW], s_x, s_y; for (int i = 0; i < READ_TIMES_ROW; ++i) { s_x = mad24(i, LSIZE0, start_x); s_y = start_y; #ifdef BORDER_ISOLATED EXTRAPOLATE(s_x, src_offset_x, src_offset_x + src_cols); EXTRAPOLATE(s_y, src_offset_y, src_offset_y + src_rows); #else EXTRAPOLATE(s_x, 0, src_whole_cols); EXTRAPOLATE(s_y, 0, src_whole_rows); #endif index[i] = mad24(s_y, src_step, s_x * SRCSIZE); } for (int i = 0; i < READ_TIMES_ROW; ++i) temp[i] = loadpix(src + index[i]); #endif for (int i = 0; i < READ_TIMES_ROW; ++i) LDS_DAT[l_y][mad24(i, LSIZE0, l_x)] = temp[i]; barrier(CLK_LOCAL_MEM_FENCE); sum = convertToDstT(LDS_DAT[l_y][l_x + RADIUSX]) * mat_kernel[RADIUSX]; for (int i = 1; i <= RADIUSX; ++i) { temp[0] = LDS_DAT[l_y][l_x + RADIUSX - i]; temp[1] = LDS_DAT[l_y][l_x + RADIUSX + i]; #if defined(INTEGER_ARITHMETIC) sum += mad24(convertToDstT(temp[0]), mat_kernel[RADIUSX - i], convertToDstT(temp[1]) * mat_kernel[RADIUSX + i]); #else sum += mad(convertToDstT(temp[0]), mat_kernel[RADIUSX - i], convertToDstT(temp[1]) * mat_kernel[RADIUSX + i]); #endif } if (x < dst_cols && y < dst_rows) { start_addr = mad24(y, dst_step, x * DSTSIZE); storepix(sum, dst + start_addr); } } 048b140c890d74acfb2bc8b5d43a4cbffilterSep_singlePass#ifdef BORDER_CONSTANT #define EXTRAPOLATE(x, maxV) #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, maxV) \ { \ (x) = clamp((x), 0, (maxV)-1); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, maxV) \ { \ (x) = ( (x) + (maxV) ) % (maxV); \ } #elif defined BORDER_REFLECT #define EXTRAPOLATE(x, maxV) \ { \ (x) = min(((maxV)-1)*2-(x)+1, max((x),-(x)-1) ); \ } #elif defined BORDER_REFLECT_101 || defined BORDER_REFLECT101 #define EXTRAPOLATE(x, maxV) \ { \ (x) = min(((maxV)-1)*2-(x), max((x),-(x)) ); \ } #else #error No extrapolation method #endif #if CN != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define SRCSIZE (int)sizeof(srcT) #define DSTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define SRCSIZE (int)sizeof(srcT1)*3 #define DSTSIZE (int)sizeof(dstT1)*3 #endif #define SRC(_x,_y) convertToWT(loadpix(Src + mad24(_y, src_step, SRCSIZE * _x))) #ifdef BORDER_CONSTANT #define ELEM(_x,_y,r_edge,t_edge,const_v) (_x)<0 | (_x) >= (r_edge) | (_y)<0 | (_y) >= (t_edge) ? (const_v) : SRC((_x),(_y)) #else #define ELEM(_x,_y,r_edge,t_edge,const_v) SRC((_x),(_y)) #endif #define noconvert #define DIG(a) a, __constant WT1 mat_kernelX[] = { KERNEL_MATRIX_X }; __constant WT1 mat_kernelY[] = { KERNEL_MATRIX_Y }; __kernel void sep_filter(__global uchar* Src, int src_step, int srcOffsetX, int srcOffsetY, int height, int width, __global uchar* Dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, float delta) { __local WT lsmem[BLK_Y + 2 * RADIUSY][BLK_X + 2 * RADIUSX]; __local WT lsmemDy[BLK_Y][BLK_X + 2 * RADIUSX]; int lix = get_local_id(0); int liy = get_local_id(1); int x = get_global_id(0); int srcX = x + srcOffsetX - RADIUSX; int clocY = liy; do { int yb = clocY + srcOffsetY - RADIUSY; EXTRAPOLATE(yb, (height)); int clocX = lix; int cSrcX = srcX; do { int xb = cSrcX; EXTRAPOLATE(xb,(width)); lsmem[clocY][clocX] = ELEM(xb, yb, (width), (height), 0 ); clocX += BLK_X; cSrcX += BLK_X; } while(clocX < BLK_X+(RADIUSX*2)); clocY += BLK_Y; } while (clocY < BLK_Y+(RADIUSY*2)); barrier(CLK_LOCAL_MEM_FENCE); for (int y = 0; y < dst_rows; y+=BLK_Y) { int i, clocX = lix; WT sum = (WT) 0; do { sum = (WT) 0; for (i=0; i<=2*RADIUSY; i++) #if defined(INTEGER_ARITHMETIC) sum = mad24(lsmem[liy + i][clocX], mat_kernelY[i], sum); #else sum = mad(lsmem[liy + i][clocX], mat_kernelY[i], sum); #endif lsmemDy[liy][clocX] = sum; clocX += BLK_X; } while(clocX < BLK_X+(RADIUSX*2)); barrier(CLK_LOCAL_MEM_FENCE); if ((x < dst_cols) && (y + liy < dst_rows)) { sum = (WT)(delta); for (i=0; i<=2*RADIUSX; i++) #if defined(INTEGER_ARITHMETIC) sum = mad24(lsmemDy[liy][lix+i], mat_kernelX[i], sum); #else sum = mad(lsmemDy[liy][lix+i], mat_kernelX[i], sum); #endif #if defined(SHIFT_BITS) && SHIFT_BITS > 0 #if !defined(INTEGER_ARITHMETIC) sum = sum * (1.0f / (1 << SHIFT_BITS)); #else sum = (sum + (1 << (SHIFT_BITS-1))) >> SHIFT_BITS; #endif #endif storepix(convertToDstT(sum), Dst + mad24(y + liy, dst_step, mad24(x, DSTSIZE, dst_offset))); } barrier(CLK_LOCAL_MEM_FENCE); for (int i = liy * BLK_X + lix; i < (RADIUSY*2) * (BLK_X+(RADIUSX*2)); i += BLK_X * BLK_Y) { int clocX = i % (BLK_X+(RADIUSX*2)); int clocY = i / (BLK_X+(RADIUSX*2)); lsmem[clocY][clocX] = lsmem[clocY + BLK_Y][clocX]; } barrier(CLK_LOCAL_MEM_FENCE); int yb = y + liy + BLK_Y + srcOffsetY + RADIUSY; EXTRAPOLATE(yb, (height)); clocX = lix; int cSrcX = x + srcOffsetX - RADIUSX; do { int xb = cSrcX; EXTRAPOLATE(xb,(width)); lsmem[liy + 2*RADIUSY][clocX] = ELEM(xb, yb, (width), (height), 0 ); clocX += BLK_X; cSrcX += BLK_X; } while(clocX < BLK_X+(RADIUSX*2)); barrier(CLK_LOCAL_MEM_FENCE); } } 478db57624f9e361da43e649f0a44c8f#ifdef BORDER_REPLICATE #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? (l_edge) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? (r_edge)-1 : (addr)) #define ADDR_H(i, t_edge, b_edge) ((i) < (t_edge) ? (t_edge) :(i)) #define ADDR_B(i, b_edge, addr) ((i) >= (b_edge) ? (b_edge)-1 :(addr)) #endif #ifdef BORDER_REFLECT #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? -(i)-1 : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? -(i)-1+((r_edge)<<1) : (addr)) #define ADDR_H(i, t_edge, b_edge) ((i) < (t_edge) ? -(i)-1 : (i)) #define ADDR_B(i, b_edge, addr) ((i) >= (b_edge) ? -(i)-1+((b_edge)<<1) : (addr)) #endif #ifdef BORDER_REFLECT_101 #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? -(i) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? -(i)-2+((r_edge)<<1) : (addr)) #define ADDR_H(i, t_edge, b_edge) ((i) < (t_edge) ? -(i) : (i)) #define ADDR_B(i, b_edge, addr) ((i) >= (b_edge) ? -(i)-2+((b_edge)<<1) : (addr)) #endif #ifdef BORDER_WRAP #define ADDR_L(i, l_edge, r_edge) ((i) < (l_edge) ? (i)+(r_edge) : (i)) #define ADDR_R(i, r_edge, addr) ((i) >= (r_edge) ? (i)-(r_edge) : (addr)) #define ADDR_H(i, t_edge, b_edge) ((i) < (t_edge) ? (i)+(b_edge) : (i)) #define ADDR_B(i, b_edge, addr) ((i) >= (b_edge) ? (i)-(b_edge) : (addr)) #endif #ifdef BORDER_ISOLATED #define ISOLATED_MIN(VAL) (VAL) #else #define ISOLATED_MIN(VAL) 0 #endif #ifdef EXTRA_EXTRAPOLATION #ifdef BORDER_CONSTANT #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) \ { \ x = max(min(x, maxX - 1), minX); \ y = max(min(y, maxY - 1), minY); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) \ { \ if (x < minX) \ x -= ((x - maxX + 1) / maxX) * maxX; \ if (x >= maxX) \ x %= maxX; \ if (y < minY) \ y -= ((y - maxY + 1) / maxY) * maxY; \ if (y >= maxY) \ y %= maxY; \ } #elif defined(BORDER_REFLECT) || defined(BORDER_REFLECT_101) #define EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, delta) \ { \ if (maxX - minX == 1) \ x = minX; \ else \ do \ { \ if (x < minX) \ x = minX - (x - minX) - 1 + delta; \ else \ x = maxX - 1 - (x - maxX) - delta; \ } \ while (x >= maxX || x < minX); \ \ if (maxY - minY == 1) \ y = minY; \ else \ do \ { \ if (y < minY) \ y = minY - (y - minY) - 1 + delta; \ else \ y = maxY - 1 - (y - maxY) - delta; \ } \ while (y >= maxY || y < minY); \ } #ifdef BORDER_REFLECT #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, 0) #elif defined(BORDER_REFLECT_101) || defined(BORDER_REFLECT101) #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) EXTRAPOLATE_(x, y, minX, minY, maxX, maxY, 1) #endif #else #error No extrapolation method #endif #else #define EXTRAPOLATE(x, y, minX, minY, maxX, maxY) \ { \ int _row = y - ISOLATED_MIN(minY), _col = x - ISOLATED_MIN(minX); \ _row = ADDR_H(_row, 0, maxY - ISOLATED_MIN(minY)); \ _row = ADDR_B(_row, maxY - ISOLATED_MIN(minY), _row); \ y = _row + ISOLATED_MIN(minY); \ \ _col = ADDR_L(_col, 0, maxX - ISOLATED_MIN(minX)); \ _col = ADDR_R(_col, maxX - ISOLATED_MIN(minX), _col); \ x = _col + ISOLATED_MIN(minX); \ } #endif #ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if cn != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define SRCSIZE (int)sizeof(srcT) #define DSTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define SRCSIZE (int)sizeof(srcT1) * cn #define DSTSIZE (int)sizeof(dstT1) * cn #endif #define noconvert struct RectCoords { int x1, y1, x2, y2; }; #ifdef BORDER_ISOLATED inline bool isBorder(const struct RectCoords bounds, int2 coord, int numPixels) { return coord.x < bounds.x1 || coord.y < bounds.y1 || coord.x + numPixels > bounds.x2 || coord.y >= bounds.y2; } #else inline bool isBorder(const struct RectCoords bounds, int2 coord, int numPixels) { return coord.x < 0 || coord.y < 0 || coord.x + numPixels > bounds.x2 || coord.y >= bounds.y2; } #endif #define float1 float #define double1 double #define uchar1 uchar #define int1 int #define uint1 unit #define __CAT(x, y) x##y #define CAT(x, y) __CAT(x, y) #define vload1(OFFSET, PTR) (*(PTR + OFFSET)) #define PX_LOAD_VEC_TYPE CAT(srcT1, PX_LOAD_VEC_SIZE) #define PX_LOAD_FLOAT_VEC_TYPE CAT(WT1, PX_LOAD_VEC_SIZE) #define PX_LOAD CAT(vload, PX_LOAD_VEC_SIZE) inline PX_LOAD_FLOAT_VEC_TYPE readSrcPixelGroup(int2 pos, __global const uchar * srcptr, int srcstep, const struct RectCoords srcCoords) { __global const srcT1 * ptr = (__global const srcT1 *) (srcptr + mad24(pos.y, srcstep, pos.x * SRCSIZE)); return PX_LOAD_FLOAT_VEC_CONV(PX_LOAD(0, ptr)); } #define LOOP1(VAR, STMT) (STMT); (VAR)++; #define LOOP2(VAR, STMT) LOOP1(VAR, STMT); (STMT); (VAR)++; #define LOOP3(VAR, STMT) LOOP2(VAR, STMT); (STMT); (VAR)++; #define LOOP4(VAR, STMT) LOOP3(VAR, STMT); (STMT); (VAR)++; #define LOOP5(VAR, STMT) LOOP4(VAR, STMT); (STMT); (VAR)++; #define LOOP6(VAR, STMT) LOOP5(VAR, STMT); (STMT); (VAR)++; #define LOOP7(VAR, STMT) LOOP6(VAR, STMT); (STMT); (VAR)++; #define LOOP8(VAR, STMT) LOOP7(VAR, STMT); (STMT); (VAR)++; #define LOOP9(VAR, STMT) LOOP8(VAR, STMT); (STMT); (VAR)++; #define LOOP10(VAR, STMT) LOOP9(VAR, STMT); (STMT); (VAR)++; #define LOOP11(VAR, STMT) LOOP10(VAR, STMT); (STMT); (VAR)++; #define LOOP12(VAR, STMT) LOOP11(VAR, STMT); (STMT); (VAR)++; #define LOOP13(VAR, STMT) LOOP12(VAR, STMT); (STMT); (VAR)++; #define LOOP(N, VAR, STMT) CAT(LOOP, N)((VAR), (STMT)) #ifdef OP_BOX_FILTER #define PROCESS_ELEM \ WT total_sum = (WT)(0); \ int sy = 0; \ LOOP(KERNEL_SIZE_Y, sy, \ { \ int sx = 0; \ LOOP(KERNEL_SIZE_X, sx, \ { \ total_sum += privateData[py + sy][px + sx]; \ }); \ }) #elif defined OP_FILTER2D #define DIG(a) a, __constant WT1 kernelData[] = { COEFF }; #define PROCESS_ELEM \ WT total_sum = 0; \ int sy = 0; \ int kernelIndex = 0; \ LOOP(KERNEL_SIZE_Y, sy, \ { \ int sx = 0; \ LOOP(KERNEL_SIZE_X, sx, \ { \ total_sum = fma(kernelData[kernelIndex++], privateData[py + sy][px + sx], total_sum); \ }); \ }) #elif defined OP_ERODE || defined OP_DILATE #ifdef DEPTH_0 #define MIN_VAL 0 #define MAX_VAL UCHAR_MAX #elif defined DEPTH_1 #define MIN_VAL SCHAR_MIN #define MAX_VAL SCHAR_MAX #elif defined DEPTH_2 #define MIN_VAL 0 #define MAX_VAL USHRT_MAX #elif defined DEPTH_3 #define MIN_VAL SHRT_MIN #define MAX_VAL SHRT_MAX #elif defined DEPTH_4 #define MIN_VAL INT_MIN #define MAX_VAL INT_MAX #elif defined DEPTH_5 #define MIN_VAL (-FLT_MAX) #define MAX_VAL FLT_MAX #elif defined DEPTH_6 #define MIN_VAL (-DBL_MAX) #define MAX_VAL DBL_MAX #endif #ifdef OP_ERODE #define VAL (WT)MAX_VAL #elif defined OP_DILATE #define VAL (WT)MIN_VAL #else #error "Unknown operation" #endif #define convert_float1 convert_float #define convert_uchar1 convert_uchar #define convert_int1 convert_int #define convert_uint1 convert_uint #ifdef OP_ERODE #if defined INTEL_DEVICE && defined DEPTH_0 #define WA_CONVERT_1 CAT(convert_uint, cn) #define WA_CONVERT_2 CAT(convert_, srcT) #define MORPH_OP(A, B) ((A) < (B) ? (A) : (B)) #else #define MORPH_OP(A, B) min((A), (B)) #endif #endif #ifdef OP_DILATE #define MORPH_OP(A, B) max((A), (B)) #endif #define PROCESS(_y, _x) \ total_sum = convertToWT(MORPH_OP(convertToWT(total_sum), convertToWT(privateData[py + _y][px + _x]))); #define PROCESS_ELEM \ WT total_sum = convertToWT(VAL); \ PROCESS_ELEM_ #else #error "No processing is specified" #endif #if defined OP_GRADIENT || defined OP_TOPHAT || defined OP_BLACKHAT #define EXTRA_PARAMS , __global const uchar * matptr, int mat_step, int mat_offset #else #define EXTRA_PARAMS #endif inline WT getBorderPixel(const struct RectCoords bounds, int2 coord, __global const uchar * srcptr, int srcstep) { #ifdef BORDER_CONSTANT #ifdef OP_ERODE return (WT)(MAX_VAL); #elif defined OP_DILATE return (WT)(MIN_VAL); #else return (WT)(0); #endif #else int selected_col = coord.x; int selected_row = coord.y; EXTRAPOLATE(selected_col, selected_row, bounds.x1, bounds.y1, bounds.x2, bounds.y2); __global const uchar* ptr = srcptr + mad24(selected_row, srcstep, selected_col * SRCSIZE); return convertToWT(loadpix(ptr)); #endif } inline WT readSrcPixelSingle(int2 pos, __global const uchar * srcptr, int srcstep, const struct RectCoords srcCoords) { if (!isBorder(srcCoords, pos, 1)) { __global const uchar * ptr = srcptr + mad24(pos.y, srcstep, pos.x * SRCSIZE); return convertToWT(loadpix(ptr)); } else return getBorderPixel(srcCoords, pos, srcptr, srcstep); } __kernel void filterSmall(__global const uchar * srcptr, int src_step, int srcOffsetX, int srcOffsetY, int srcEndX, int srcEndY, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols #ifdef NORMALIZE , float alpha #endif EXTRA_PARAMS ) { const struct RectCoords srcCoords = { srcOffsetX, srcOffsetY, srcEndX, srcEndY }; const int startX = get_global_id(0) * PX_PER_WI_X; const int startY = get_global_id(1) * PX_PER_WI_Y; if (startX >= cols || startY >= rows) return; WT privateData[PX_PER_WI_Y + KERNEL_SIZE_Y - 1][PRIV_DATA_WIDTH]; int py = 0; LOOP(PX_LOAD_Y_ITERATIONS, py, { int y = startY + py; int px = 0; LOOP(PX_LOAD_X_ITERATIONS, px, { int x = startX + (px * PX_LOAD_NUM_PX); int2 srcPos = (int2)(srcCoords.x1 + x - ANCHOR_X, srcCoords.y1 + y - ANCHOR_Y); if (!isBorder(srcCoords, srcPos, PX_LOAD_NUM_PX)) { PX_LOAD_FLOAT_VEC_TYPE p = readSrcPixelGroup(srcPos, srcptr, src_step, srcCoords); #ifdef SQR *((PX_LOAD_FLOAT_VEC_TYPE *)&privateData[py][px * PX_LOAD_NUM_PX]) = p * p; #else *((PX_LOAD_FLOAT_VEC_TYPE *)&privateData[py][px * PX_LOAD_NUM_PX]) = p; #endif } else { int lx = 0; LOOP(PX_LOAD_NUM_PX, lx, { WT p = readSrcPixelSingle(srcPos, srcptr, src_step, srcCoords); #ifdef SQR *((WT*)&privateData[py][px * PX_LOAD_NUM_PX + lx]) = p * p; #else *((WT*)&privateData[py][px * PX_LOAD_NUM_PX + lx]) = p; #endif srcPos.x++; }); } }); }); py = 0; LOOP(PX_PER_WI_Y, py, { int y = startY + py; int px = 0; LOOP(PX_PER_WI_X, px, { int x = startX + px; PROCESS_ELEM; int dst_index = mad24(y, dst_step, mad24(x, DSTSIZE, dst_offset)); __global dstT * dstPtr = (__global dstT *)(dstptr + dst_index); #ifdef NORMALIZE total_sum *= (WT)(alpha); #endif #if defined OP_GRADIENT || defined OP_TOPHAT || defined OP_BLACKHAT int mat_index = mad24(y, mat_step, mad24(x, SRCSIZE, mat_offset)); WT value = convertToWT(loadpix(matptr + mat_index)); #ifdef OP_GRADIENT storepix(convertToDstT(convertToWT(total_sum) - convertToWT(value)), dstPtr ); #elif defined OP_TOPHAT storepix(convertToDstT(convertToWT(value) - convertToWT(total_sum)), dstPtr ); #elif defined OP_BLACKHAT storepix(convertToDstT(convertToWT(total_sum) - convertToWT(value)), dstPtr ); #endif #else storepix(convertToDstT(total_sum), dstPtr); #endif }); }); } 791281c9ee1a2ff7234c85b09b6af6bfgaussianBlur3x3#define DIG(a) a, __constant float kx[] = { KERNEL_MATRIX_X }; __constant float ky[] = { KERNEL_MATRIX_Y }; #define OP(delta, y, x) (convert_float16(arr[(y + delta) * 3 + x]) * ky[y] * kx[x]) __kernel void gaussianBlur3x3_8UC1_cols16_rows2(__global const uint* src, int src_step, __global uint* dst, int dst_step, int rows, int cols) { int block_x = get_global_id(0); int y = get_global_id(1) * 2; int ssx, dsx; if ((block_x * 16) >= cols || y >= rows) return; uint4 line[4]; uint4 line_out[2]; uchar a; uchar16 b; uchar c; uchar d; uchar16 e; uchar f; uchar g; uchar16 h; uchar i; uchar j; uchar16 k; uchar l; ssx = dsx = 1; int src_index = block_x * 4 * ssx + (y - 1) * (src_step / 4); line[1] = vload4(0, src + src_index + (src_step / 4)); line[2] = vload4(0, src + src_index + 2 * (src_step / 4)); #ifdef BORDER_CONSTANT line[0] = (y == 0) ? (uint4)0 : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? (uint4)0 : vload4(0, src + src_index + 3 * (src_step / 4)); #elif defined BORDER_REFLECT_101 line[0] = (y == 0) ? line[2] : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? line[1] : vload4(0, src + src_index + 3 * (src_step / 4)); #elif defined (BORDER_REPLICATE) || defined(BORDER_REFLECT) line[0] = (y == 0) ? line[1] : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? line[2] : vload4(0, src + src_index + 3 * (src_step / 4)); #endif __global uchar *src_p = (__global uchar *)src; src_index = block_x * 16 * ssx + (y - 1) * src_step; bool line_end = ((block_x + 1) * 16 == cols); b = as_uchar16(line[0]); e = as_uchar16(line[1]); h = as_uchar16(line[2]); k = as_uchar16(line[3]); #ifdef BORDER_CONSTANT a = (block_x == 0 || y == 0) ? 0 : src_p[src_index - 1]; c = (line_end || y == 0) ? 0 : src_p[src_index + 16]; d = (block_x == 0) ? 0 : src_p[src_index + src_step - 1]; f = line_end ? 0 : src_p[src_index + src_step + 16]; g = (block_x == 0) ? 0 : src_p[src_index + 2 * src_step - 1]; i = line_end ? 0 : src_p[src_index + 2 * src_step + 16]; j = (block_x == 0 || y == (rows - 2)) ? 0 : src_p[src_index + 3 * src_step - 1]; l = (line_end || y == (rows - 2))? 0 : src_p[src_index + 3 * src_step + 16]; #elif defined BORDER_REFLECT_101 int offset; offset = (y == 0) ? (2 * src_step) : 0; a = (block_x == 0) ? src_p[src_index + offset + 1] : src_p[src_index + offset - 1]; c = line_end ? src_p[src_index + offset + 14] : src_p[src_index + offset + 16]; d = (block_x == 0) ? src_p[src_index + src_step + 1] : src_p[src_index + src_step - 1]; f = line_end ? src_p[src_index + src_step + 14] : src_p[src_index + src_step + 16]; g = (block_x == 0) ? src_p[src_index + 2 * src_step + 1] : src_p[src_index + 2 * src_step - 1]; i = line_end ? src_p[src_index + 2 * src_step + 14] : src_p[src_index + 2 * src_step + 16]; offset = (y == (rows - 2)) ? (1 * src_step) : (3 * src_step); j = (block_x == 0) ? src_p[src_index + offset + 1] : src_p[src_index + offset - 1]; l = line_end ? src_p[src_index + offset + 14] : src_p[src_index + offset + 16]; #elif defined (BORDER_REPLICATE) || defined(BORDER_REFLECT) int offset; offset = (y == 0) ? (1 * src_step) : 0; a = (block_x == 0) ? src_p[src_index + offset] : src_p[src_index + offset - 1]; c = line_end ? src_p[src_index + offset + 15] : src_p[src_index + offset + 16]; d = (block_x == 0) ? src_p[src_index + src_step] : src_p[src_index + src_step - 1]; f = line_end ? src_p[src_index + src_step + 15] : src_p[src_index + src_step + 16]; g = (block_x == 0) ? src_p[src_index + 2 * src_step] : src_p[src_index + 2 * src_step - 1]; i = line_end ? src_p[src_index + 2 * src_step + 15] : src_p[src_index + 2 * src_step + 16]; offset = (y == (rows - 2)) ? (2 * src_step) : (3 * src_step); j = (block_x == 0) ? src_p[src_index + offset] : src_p[src_index + offset - 1]; l = line_end ? src_p[src_index + offset + 15] : src_p[src_index + offset + 16]; #endif uchar16 arr[12]; float16 sum[2]; arr[0] = (uchar16)(a, b.s0123, b.s456789ab, b.scde); arr[1] = b; arr[2] = (uchar16)(b.s123, b.s4567, b.s89abcdef, c); arr[3] = (uchar16)(d, e.s0123, e.s456789ab, e.scde); arr[4] = e; arr[5] = (uchar16)(e.s123, e.s4567, e.s89abcdef, f); arr[6] = (uchar16)(g, h.s0123, h.s456789ab, h.scde); arr[7] = h; arr[8] = (uchar16)(h.s123, h.s4567, h.s89abcdef, i); arr[9] = (uchar16)(j, k.s0123, k.s456789ab, k.scde); arr[10] = k; arr[11] = (uchar16)(k.s123, k.s4567, k.s89abcdef, l); sum[0] = OP(0, 0, 0) + OP(0, 0, 1) + OP(0, 0, 2) + OP(0, 1, 0) + OP(0, 1, 1) + OP(0, 1, 2) + OP(0, 2, 0) + OP(0, 2, 1) + OP(0, 2, 2); sum[1] = OP(1, 0, 0) + OP(1, 0, 1) + OP(1, 0, 2) + OP(1, 1, 0) + OP(1, 1, 1) + OP(1, 1, 2) + OP(1, 2, 0) + OP(1, 2, 1) + OP(1, 2, 2); line_out[0] = as_uint4(convert_uchar16_sat_rte(sum[0])); line_out[1] = as_uint4(convert_uchar16_sat_rte(sum[1])); int dst_index = block_x * 4 * dsx + y * (dst_step / 4); vstore4(line_out[0], 0, dst + dst_index); vstore4(line_out[1], 0, dst + dst_index + (dst_step / 4)); } dbbc069449fa882036a00c7734ead4c1gaussianBlur5x5#define DIG(a) a, __constant float kx[] = { KERNEL_MATRIX_X }; __constant float ky[] = { KERNEL_MATRIX_Y }; #define OP(y, x) (convert_float4(arr[y * 5 + x]) * ky[y] * kx[x]) #define FILL_ARR(s1, s2, n, e1, e2) \ arr[5 * n + 0] = row_s ? (uchar4)(s1, s2, line[n].s23) : (uchar4)(line[n].s0123); \ arr[5 * n + 1] = row_s ? (uchar4)(s2, line[n].s234) : (uchar4)(line[n].s1234); \ arr[5 * n + 2] = (uchar4)(line[n].s2345); \ arr[5 * n + 3] = row_e ? (uchar4)(line[n].s345, e1) : (uchar4)(line[n].s3456); \ arr[5 * n + 4] = row_e ? (uchar4)(line[n].s45, e1, e2) : (uchar4)(line[n].s4567); __kernel void gaussianBlur5x5_8UC1_cols4(__global const uchar* src, int src_step, __global uint* dst, int dst_step, int rows, int cols) { int x = get_global_id(0) * 4; int y = get_global_id(1); if (x >= cols || y >= rows) return; uchar8 line[5]; int offset, src_index; src_index = x + (y - 2) * src_step - 2; offset = max(0, src_index + 2 * src_step); line[2] = vload8(0, src + offset); if (offset == 0) line[2] = (uchar8)(0, 0, line[2].s0123, line[2].s45); #if defined BORDER_CONSTANT || defined BORDER_REPLICATE uchar8 tmp; #ifdef BORDER_CONSTANT tmp = (uchar8)0; #elif defined BORDER_REPLICATE tmp = line[2]; #endif line[0] = line[1] = tmp; if (y > 1) { offset = max(0, src_index); line[0] = vload8(0, src + offset); if (offset == 0) line[0] = (uchar8)(0, 0, line[0].s0123, line[0].s45); } if (y > 0) { offset = max(0, src_index + src_step); line[1] = vload8(0, src + offset); if (offset == 0) line[1] = (uchar8)(0, 0, line[1].s0123, line[1].s45); } line[3] = (y == (rows - 1)) ? tmp : vload8(0, src + src_index + 3 * src_step); line[4] = (y >= (rows - 2)) ? tmp : vload8(0, src + src_index + 4 * src_step); #elif BORDER_REFLECT int t; t = (y <= 1) ? (abs(y - 1) - y + 2) : 0; offset = max(0, src_index + t * src_step); line[0] = vload8(0, src + offset); if (offset == 0) line[0] = (uchar8)(0, 0, line[0].s0123, line[0].s45); if (y == 0) line[1] = line[2]; else { offset = max(0, src_index + 1 * src_step); line[1] = vload8(0, src + offset); if (offset == 0) line[1] = (uchar8)(0, 0, line[1].s0123, line[0].s45); } line[3] = (y == (rows - 1)) ? line[2] : vload8(0, src + src_index + 3 * src_step); t = (y >= (rows - 2)) ? (abs(y - (rows - 1)) - (y - (rows - 2)) + 2) : 4; line[4] = vload8(0, src + src_index + t * src_step); #elif BORDER_REFLECT_101 if (y == 1) line[0] = line[2]; else { offset = (y == 0) ? (src_index + 4 * src_step) : max(0, src_index); line[0] = vload8(0, src + offset); if (offset == 0) line[0] = (uchar8)(0, 0, line[0].s0123, line[0].s45); } offset = (y == 0) ? (src_index + 3 * src_step) : max(0, src_index + 1 * src_step); line[1] = vload8(0, src + offset); if (offset == 0) line[1] = (uchar8)(0, 0, line[1].s0123, line[1].s45); line[3] = vload8(0, src + src_index + ((y == (rows - 1)) ? 1 : 3) * src_step); if (y == (rows - 2)) line[4] = line[2]; else { line[4] = vload8(0, src + src_index + ((y == (rows - 1)) ? 1 : 4) * src_step); } #endif bool row_s = (x == 0); bool row_e = ((x + 4) == cols); uchar4 arr[25]; uchar s, e; #ifdef BORDER_CONSTANT s = e = 0; FILL_ARR(s, s, 0, e, e); FILL_ARR(s, s, 1, e, e); FILL_ARR(s, s, 2, e, e); FILL_ARR(s, s, 3, e, e); FILL_ARR(s, s, 4, e, e); #elif defined BORDER_REPLICATE s = line[0].s2; e = line[0].s5; FILL_ARR(s, s, 0, e, e); s = line[1].s2; e = line[1].s5; FILL_ARR(s, s, 1, e, e); s = line[2].s2; e = line[2].s5; FILL_ARR(s, s, 2, e, e); s = line[3].s2; e = line[3].s5; FILL_ARR(s, s, 3, e, e); s = line[4].s2; e = line[4].s5; FILL_ARR(s, s, 4, e, e); #elif BORDER_REFLECT uchar s1, s2; uchar e1, e2; s1 = line[0].s3; s2 = line[0].s2; e1 = line[0].s5; e2 = line[0].s4; FILL_ARR(s1, s2, 0, e1, e2); s1 = line[1].s3; s2 = line[1].s2; e1 = line[1].s5; e2 = line[1].s4; FILL_ARR(s1, s2, 1, e1, e2); s1 = line[2].s3; s2 = line[2].s2; e1 = line[2].s5; e2 = line[2].s4; FILL_ARR(s1, s2, 2, e1, e2); s1 = line[3].s3; s2 = line[3].s2; e1 = line[3].s5; e2 = line[3].s4; FILL_ARR(s1, s2, 3, e1, e2); s1 = line[4].s3; s2 = line[4].s2; e1 = line[4].s5; e2 = line[4].s4; FILL_ARR(s1, s2, 4, e1, e2); #elif BORDER_REFLECT_101 s = line[0].s4; e = line[0].s3; FILL_ARR(s, e, 0, s, e); s = line[1].s4; e = line[1].s3; FILL_ARR(s, e, 1, s, e); s = line[2].s4; e = line[2].s3; FILL_ARR(s, e, 2, s, e); s = line[3].s4; e = line[3].s3; FILL_ARR(s, e, 3, s, e); s = line[4].s4; e = line[4].s3; FILL_ARR(s, e, 4, s, e); #endif float4 sum; sum = OP(0, 0) + OP(0, 1) + OP(0, 2) + OP(0, 3) + OP(0, 4) + OP(1, 0) + OP(1, 1) + OP(1, 2) + OP(1, 3) + OP(1, 4) + OP(2, 0) + OP(2, 1) + OP(2, 2) + OP(2, 3) + OP(2, 4) + OP(3, 0) + OP(3, 1) + OP(3, 2) + OP(3, 3) + OP(3, 4) + OP(4, 0) + OP(4, 1) + OP(4, 2) + OP(4, 3) + OP(4, 4); int dst_index = (x / 4) + y * (dst_step / 4); dst[dst_index] = as_uint(convert_uchar4_sat_rte(sum)); } ece5030c9920436f23ce25e35dc12303gftt#ifdef OP_MAX_EIGEN_VAL __kernel void maxEigenVal(__global const uchar * srcptr, int src_step, int src_offset, int cols, int total, __global uchar * dstptr #ifdef HAVE_MASK , __global const uchar * maskptr, int mask_step, int mask_offset #endif ) { int lid = get_local_id(0); int gid = get_group_id(0); int id = get_global_id(0); __local float localmem_max[WGS2_ALIGNED]; float maxval = -FLT_MAX; for (int grain = groupnum * WGS; id < total; id += grain) { int src_index = mad24(id / cols, src_step, mad24((id % cols), (int)sizeof(float), src_offset)); #ifdef HAVE_MASK int mask_index = mad24(id / cols, mask_step, id % cols + mask_offset); if (maskptr[mask_index]) #endif maxval = max(maxval, *(__global const float *)(srcptr + src_index)); } if (lid < WGS2_ALIGNED) localmem_max[lid] = maxval; barrier(CLK_LOCAL_MEM_FENCE); if (lid >= WGS2_ALIGNED && total >= WGS2_ALIGNED) localmem_max[lid - WGS2_ALIGNED] = max(maxval, localmem_max[lid - WGS2_ALIGNED]); barrier(CLK_LOCAL_MEM_FENCE); for (int lsize = WGS2_ALIGNED >> 1; lsize > 0; lsize >>= 1) { if (lid < lsize) { int lid2 = lsize + lid; localmem_max[lid] = max(localmem_max[lid], localmem_max[lid2]); } barrier(CLK_LOCAL_MEM_FENCE); } if (lid == 0) *(__global float *)(dstptr + (int)sizeof(float) * gid) = localmem_max[0]; } __kernel void maxEigenValTask(__global float * dst, float qualityLevel, __global int * cornersptr) { float maxval = -FLT_MAX; #pragma unroll for (int x = 0; x < groupnum; ++x) maxval = max(maxval, dst[x]); dst[0] = maxval * qualityLevel; cornersptr[0] = 0; } #elif OP_FIND_CORNERS #define GET_SRC_32F(_y, _x) *(__global const float *)(eigptr + (_y) * eig_step + (_x) * (int)sizeof(float) ) __kernel void findCorners(__global const uchar * eigptr, int eig_step, int eig_offset, #ifdef HAVE_MASK __global const uchar * mask, int mask_step, int mask_offset, #endif __global uchar * cornersptr, int rows, int cols, __constant float * threshold, int max_corners) { int x = get_global_id(0); int y = get_global_id(1); __global int* counter = (__global int*) cornersptr; __global float2 * corners = (__global float2 *)(cornersptr + (int)sizeof(float2)); if (y < rows && x < cols #ifdef HAVE_MASK && mask[mad24(y, mask_step, x + mask_offset)] #endif ) { ++x, ++y; float val = GET_SRC_32F(y, x); if (val > threshold[0]) { float maxVal = val; maxVal = max(GET_SRC_32F(y - 1, x - 1), maxVal); maxVal = max(GET_SRC_32F(y - 1, x ), maxVal); maxVal = max(GET_SRC_32F(y - 1, x + 1), maxVal); maxVal = max(GET_SRC_32F(y , x - 1), maxVal); maxVal = max(GET_SRC_32F(y , x + 1), maxVal); maxVal = max(GET_SRC_32F(y + 1, x - 1), maxVal); maxVal = max(GET_SRC_32F(y + 1, x ), maxVal); maxVal = max(GET_SRC_32F(y + 1, x + 1), maxVal); if (val == maxVal) { int ind = atomic_inc(counter); if (ind < max_corners) { corners[ind].x = val; corners[ind].y = as_float(y | (x << 16)); } } } } } #endif cb2cfd26f04e14ae047e2f5eb28c8e11histogram#ifndef kercn #define kercn 1 #endif #ifndef T #define T uchar #endif #define noconvert __kernel void calculate_histogram(__global const uchar * src_ptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * histptr, int total) { int lid = get_local_id(0); int id = get_global_id(0) * kercn; int gid = get_group_id(0); __local int localhist[BINS]; #pragma unroll for (int i = lid; i < BINS; i += WGS) localhist[i] = 0; barrier(CLK_LOCAL_MEM_FENCE); __global const uchar * src = src_ptr + src_offset; int src_index; for (int grain = HISTS_COUNT * WGS * kercn; id < total; id += grain) { #ifdef HAVE_SRC_CONT src_index = id; #else src_index = mad24(id / src_cols, src_step, id % src_cols); #endif #if kercn == 1 atomic_inc(localhist + convert_int(src[src_index])); #elif kercn == 4 int value = *(__global const int *)(src + src_index); atomic_inc(localhist + (value & 0xff)); atomic_inc(localhist + ((value >> 8) & 0xff)); atomic_inc(localhist + ((value >> 16) & 0xff)); atomic_inc(localhist + ((value >> 24) & 0xff)); #elif kercn >= 2 T value = *(__global const T *)(src + src_index); atomic_inc(localhist + value.s0); atomic_inc(localhist + value.s1); #if kercn >= 4 atomic_inc(localhist + value.s2); atomic_inc(localhist + value.s3); #if kercn >= 8 atomic_inc(localhist + value.s4); atomic_inc(localhist + value.s5); atomic_inc(localhist + value.s6); atomic_inc(localhist + value.s7); #if kercn == 16 atomic_inc(localhist + value.s8); atomic_inc(localhist + value.s9); atomic_inc(localhist + value.sA); atomic_inc(localhist + value.sB); atomic_inc(localhist + value.sC); atomic_inc(localhist + value.sD); atomic_inc(localhist + value.sE); atomic_inc(localhist + value.sF); #endif #endif #endif #endif } barrier(CLK_LOCAL_MEM_FENCE); __global int * hist = (__global int *)(histptr + gid * BINS * (int)sizeof(int)); #pragma unroll for (int i = lid; i < BINS; i += WGS) hist[i] = localhist[i]; } #ifndef HT #define HT int #endif #ifndef convertToHT #define convertToHT noconvert #endif __kernel void merge_histogram(__global const int * ghist, __global uchar * histptr, int hist_step, int hist_offset) { int lid = get_local_id(0); __global HT * hist = (__global HT *)(histptr + hist_offset); #if WGS >= BINS HT res = (HT)(0); #else #pragma unroll for (int i = lid; i < BINS; i += WGS) hist[i] = (HT)(0); #endif #pragma unroll for (int i = 0; i < HISTS_COUNT; ++i) { #pragma unroll for (int j = lid; j < BINS; j += WGS) #if WGS >= BINS res += convertToHT(ghist[j]); #else hist[j] += convertToHT(ghist[j]); #endif ghist += BINS; } #if WGS >= BINS if (lid < BINS) *(__global HT *)(histptr + mad24(lid, hist_step, hist_offset)) = res; #endif } __kernel void calcLUT(__global uchar * dst, __global const int * ghist, int total) { int lid = get_local_id(0); __local int sumhist[BINS]; __local float scale; #if WGS >= BINS int res = 0; #else #pragma unroll for (int i = lid; i < BINS; i += WGS) sumhist[i] = 0; #endif #pragma unroll for (int i = 0; i < HISTS_COUNT; ++i) { #pragma unroll for (int j = lid; j < BINS; j += WGS) #if WGS >= BINS res += ghist[j]; #else sumhist[j] += ghist[j]; #endif ghist += BINS; } #if WGS >= BINS if (lid < BINS) sumhist[lid] = res; #endif barrier(CLK_LOCAL_MEM_FENCE); if (lid == 0) { int sum = 0, i = 0; while (!sumhist[i]) ++i; if (total == sumhist[i]) { scale = 1; for (int j = 0; j < BINS; ++j) sumhist[i] = i; } else { scale = 255.f / (total - sumhist[i]); for (sumhist[i++] = 0; i < BINS; i++) { sum += sumhist[i]; sumhist[i] = sum; } } } barrier(CLK_LOCAL_MEM_FENCE); #pragma unroll for (int i = lid; i < BINS; i += WGS) dst[i]= convert_uchar_sat_rte(convert_float(sumhist[i]) * scale); } 3bfd6703e639c8a36eb7cdd5f3eefda6hough_lines#define ACCUM(ptr) *((__global int*)(ptr)) #ifdef MAKE_POINTS_LIST __kernel void make_point_list(__global const uchar * src_ptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * list_ptr, int list_step, int list_offset, __global int* global_offset) { int x = get_local_id(0); int y = get_group_id(1); __local int l_index, l_offset; __local int l_points[LOCAL_SIZE]; __global const uchar * src = src_ptr + mad24(y, src_step, src_offset); __global int * list = (__global int*)(list_ptr + list_offset); if (x == 0) l_index = 0; barrier(CLK_LOCAL_MEM_FENCE); if (y < src_rows) { y <<= 16; for (int i=x; i < src_cols; i+=GROUP_SIZE) { if (src[i]) { int val = y | i; int index = atomic_inc(&l_index); l_points[index] = val; } } } barrier(CLK_LOCAL_MEM_FENCE); if (x == 0) l_offset = atomic_add(global_offset, l_index); barrier(CLK_LOCAL_MEM_FENCE); list += l_offset; for (int i=x; i < l_index; i+=GROUP_SIZE) { list[i] = l_points[i]; } } #elif defined FILL_ACCUM_GLOBAL __kernel void fill_accum_global(__global const uchar * list_ptr, int list_step, int list_offset, __global uchar * accum_ptr, int accum_step, int accum_offset, int total_points, float irho, float theta, int numrho, int numangle) { int theta_idx = get_global_id(1); int count_idx = get_global_id(0); int glob_size = get_global_size(0); float cosVal; float sinVal = sincos(theta * ((float)theta_idx), &cosVal); sinVal *= irho; cosVal *= irho; __global const int * list = (__global const int*)(list_ptr + list_offset); __global int* accum = (__global int*)(accum_ptr + mad24(theta_idx + 1, accum_step, accum_offset)); const int shift = (numrho - 1) / 2; if (theta_idx < numangle) { for (int i = count_idx; i < total_points; i += glob_size) { const int val = list[i]; const int x = (val & 0xFFFF); const int y = (val >> 16) & 0xFFFF; int r = convert_int_rte(mad((float)x, cosVal, y * sinVal)) + shift; atomic_inc(accum + r + 1); } } } #elif defined FILL_ACCUM_LOCAL __kernel void fill_accum_local(__global const uchar * list_ptr, int list_step, int list_offset, __global uchar * accum_ptr, int accum_step, int accum_offset, int total_points, float irho, float theta, int numrho, int numangle) { int theta_idx = get_group_id(1); int count_idx = get_local_id(0); __local int l_accum[BUFFER_SIZE]; if (theta_idx > 0 && theta_idx < numangle + 1) { float cosVal; float sinVal = sincos(theta * (float) (theta_idx-1), &cosVal); sinVal *= irho; cosVal *= irho; for (int i=count_idx; i> 16; int r = convert_int_rte(mad((float)x, cosVal, y * sinVal)) + shift; atomic_inc(l_accum + r + 1); } barrier(CLK_LOCAL_MEM_FENCE); __global int* accum = (__global int*)(accum_ptr + mad24(theta_idx, accum_step, accum_offset)); for (int i=count_idx; i threshold && curVote > ACCUM(accum - sizeof(int)) && curVote >= ACCUM(accum + sizeof(int)) && curVote > ACCUM(accum - accum_step) && curVote >= ACCUM(accum + accum_step)) { int index = atomic_inc(lines_index); if (index < linesMax) { float radius = (x - (accum_cols - 3) * 0.5f) * rho; float angle = y * theta; lines[index] = (float2)(radius, angle); } } accum += glob_size * (int) sizeof(int); } } } #elif GET_LINES_PROBABOLISTIC __kernel void get_lines(__global const uchar * accum_ptr, int accum_step, int accum_offset, int accum_rows, int accum_cols, __global const uchar * src_ptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * lines_ptr, int lines_step, int lines_offset, __global int* lines_index_ptr, int linesMax, int threshold, int lineLength, int lineGap, float rho, float theta) { int x = get_global_id(0); int y = get_global_id(1); if (y < accum_rows-2) { __global const uchar* accum = accum_ptr + mad24(y+1, accum_step, mad24(x+1, (int) sizeof(int), accum_offset)); __global int4* lines = (__global int4*)(lines_ptr + lines_offset); __global int* lines_index = lines_index_ptr + 1; int curVote = ACCUM(accum); if (curVote >= threshold && curVote > ACCUM(accum - accum_step - sizeof(int)) && curVote > ACCUM(accum - accum_step) && curVote > ACCUM(accum - accum_step + sizeof(int)) && curVote > ACCUM(accum - sizeof(int)) && curVote > ACCUM(accum + sizeof(int)) && curVote > ACCUM(accum + accum_step - sizeof(int)) && curVote > ACCUM(accum + accum_step) && curVote > ACCUM(accum + accum_step + sizeof(int))) { const float radius = (x - (accum_cols - 2 - 1) * 0.5f) * rho; const float angle = y * theta; float cosa; float sina = sincos(angle, &cosa); float2 p0 = (float2)(cosa * radius, sina * radius); float2 dir = (float2)(-sina, cosa); float2 pb[4] = { (float2)(-1, -1), (float2)(-1, -1), (float2)(-1, -1), (float2)(-1, -1) }; float a; if (dir.x != 0) { a = -p0.x / dir.x; pb[0].x = 0; pb[0].y = p0.y + a * dir.y; a = (src_cols - 1 - p0.x) / dir.x; pb[1].x = src_cols - 1; pb[1].y = p0.y + a * dir.y; } if (dir.y != 0) { a = -p0.y / dir.y; pb[2].x = p0.x + a * dir.x; pb[2].y = 0; a = (src_rows - 1 - p0.y) / dir.y; pb[3].x = p0.x + a * dir.x; pb[3].y = src_rows - 1; } if (pb[0].x == 0 && (pb[0].y >= 0 && pb[0].y < src_rows)) { p0 = pb[0]; if (dir.x < 0) dir = -dir; } else if (pb[1].x == src_cols - 1 && (pb[1].y >= 0 && pb[1].y < src_rows)) { p0 = pb[1]; if (dir.x > 0) dir = -dir; } else if (pb[2].y == 0 && (pb[2].x >= 0 && pb[2].x < src_cols)) { p0 = pb[2]; if (dir.y < 0) dir = -dir; } else if (pb[3].y == src_rows - 1 && (pb[3].x >= 0 && pb[3].x < src_cols)) { p0 = pb[3]; if (dir.y > 0) dir = -dir; } dir /= max(fabs(dir.x), fabs(dir.y)); float2 line_end[2]; int gap; bool inLine = false; if (p0.x < 0 || p0.x >= src_cols || p0.y < 0 || p0.y >= src_rows) return; for (;;) { if (*(src_ptr + mad24(p0.y, src_step, p0.x + src_offset))) { gap = 0; if (!inLine) { line_end[0] = p0; line_end[1] = p0; inLine = true; } else { line_end[1] = p0; } } else if (inLine) { if (++gap > lineGap) { bool good_line = fabs(line_end[1].x - line_end[0].x) >= lineLength || fabs(line_end[1].y - line_end[0].y) >= lineLength; if (good_line) { int index = atomic_inc(lines_index); if (index < linesMax) lines[index] = (int4)(line_end[0].x, line_end[0].y, line_end[1].x, line_end[1].y); } gap = 0; inLine = false; } } p0 = p0 + dir; if (p0.x < 0 || p0.x >= src_cols || p0.y < 0 || p0.y >= src_rows) { if (inLine) { bool good_line = fabs(line_end[1].x - line_end[0].x) >= lineLength || fabs(line_end[1].y - line_end[0].y) >= lineLength; if (good_line) { int index = atomic_inc(lines_index); if (index < linesMax) lines[index] = (int4)(line_end[0].x, line_end[0].y, line_end[1].x, line_end[1].y); } } break; } } } } } #endif e6ccdb4eda8b85085da0ea6fa9ce4569integral_sum#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #ifndef LOCAL_SUM_SIZE #define LOCAL_SUM_SIZE 16 #endif #define LOCAL_SUM_STRIDE (LOCAL_SUM_SIZE + 1) kernel void integral_sum_cols(__global const uchar *src_ptr, int src_step, int src_offset, int rows, int cols, __global uchar *buf_ptr, int buf_step, int buf_offset #ifdef SUM_SQUARE ,__global uchar *buf_sq_ptr, int buf_sq_step, int buf_sq_offset #endif ) { __local sumT lm_sum[LOCAL_SUM_STRIDE * LOCAL_SUM_SIZE]; #ifdef SUM_SQUARE __local sumSQT lm_sum_sq[LOCAL_SUM_STRIDE * LOCAL_SUM_SIZE]; #endif int lid = get_local_id(0); int gid = get_group_id(0); int x = get_global_id(0); int src_index = x + src_offset; sumT accum = 0; #ifdef SUM_SQUARE sumSQT accum_sq = 0; #endif for (int y = 0; y < rows; y += LOCAL_SUM_SIZE) { int lsum_index = lid; #pragma unroll for (int yin = 0; yin < LOCAL_SUM_SIZE; yin++, src_index+=src_step, lsum_index += LOCAL_SUM_STRIDE) { if ((x < cols) && (y + yin < rows)) { __global const uchar *src = src_ptr + src_index; accum += src[0]; #ifdef SUM_SQUARE sumSQT temp = src[0] * src[0]; accum_sq += temp; #endif } lm_sum[lsum_index] = accum; #ifdef SUM_SQUARE lm_sum_sq[lsum_index] = accum_sq; #endif } barrier(CLK_LOCAL_MEM_FENCE); int buf_index = mad24(buf_step, LOCAL_SUM_SIZE * gid, mad24((int)sizeof(sumT), y + lid, buf_offset)); #ifdef SUM_SQUARE int buf_sq_index = mad24(buf_sq_step, LOCAL_SUM_SIZE * gid, mad24((int)sizeof(sumSQT), y + lid, buf_sq_offset)); #endif lsum_index = LOCAL_SUM_STRIDE * lid; #pragma unroll for (int yin = 0; yin < LOCAL_SUM_SIZE; yin++, lsum_index ++) { __global sumT *buf = (__global sumT *)(buf_ptr + buf_index); buf[0] = lm_sum[lsum_index]; buf_index += buf_step; #ifdef SUM_SQUARE __global sumSQT *bufsq = (__global sumSQT *)(buf_sq_ptr + buf_sq_index); bufsq[0] = lm_sum_sq[lsum_index]; buf_sq_index += buf_sq_step; #endif } barrier(CLK_LOCAL_MEM_FENCE); } } kernel void integral_sum_rows(__global const uchar *buf_ptr, int buf_step, int buf_offset, #ifdef SUM_SQUARE __global uchar *buf_sq_ptr, int buf_sq_step, int buf_sq_offset, #endif __global uchar *dst_ptr, int dst_step, int dst_offset, int rows, int cols #ifdef SUM_SQUARE ,__global uchar *dst_sq_ptr, int dst_sq_step, int dst_sq_offset #endif ) { __local sumT lm_sum[LOCAL_SUM_STRIDE * LOCAL_SUM_SIZE]; #ifdef SUM_SQUARE __local sumSQT lm_sum_sq[LOCAL_SUM_STRIDE * LOCAL_SUM_SIZE]; #endif int lid = get_local_id(0); int gid = get_group_id(0); int gs = get_global_size(0); int x = get_global_id(0); __global sumT *dst = (__global sumT *)(dst_ptr + dst_offset); for (int xin = x; xin < cols; xin += gs) { dst[xin] = 0; } dst_offset += dst_step; if (x < rows - 1) { dst = (__global sumT *)(dst_ptr + mad24(x, dst_step, dst_offset)); dst[0] = 0; } int buf_index = mad24((int)sizeof(sumT), x, buf_offset); sumT accum = 0; #ifdef SUM_SQUARE __global sumSQT *dst_sq = (__global sumSQT *)(dst_sq_ptr + dst_sq_offset); for (int xin = x; xin < cols; xin += gs) { dst_sq[xin] = 0; } dst_sq_offset += dst_sq_step; if (x < rows - 1) { dst_sq = (__global sumSQT *)(dst_sq_ptr + mad24(x, dst_sq_step, dst_sq_offset)); dst_sq[0] = 0; } int buf_sq_index = mad24((int)sizeof(sumSQT), x, buf_sq_offset); sumSQT accum_sq = 0; #endif for (int y = 1; y < cols; y += LOCAL_SUM_SIZE) { int lsum_index = lid; #pragma unroll for (int yin = 0; yin < LOCAL_SUM_SIZE; yin++, lsum_index += LOCAL_SUM_STRIDE) { __global const sumT *buf = (__global const sumT *)(buf_ptr + buf_index); accum += buf[0]; lm_sum[lsum_index] = accum; buf_index += buf_step; #ifdef SUM_SQUARE __global const sumSQT *buf_sq = (__global const sumSQT *)(buf_sq_ptr + buf_sq_index); accum_sq += buf_sq[0]; lm_sum_sq[lsum_index] = accum_sq; buf_sq_index += buf_sq_step; #endif } barrier(CLK_LOCAL_MEM_FENCE); if (y + lid < cols) { int dst_index = mad24(dst_step, LOCAL_SUM_SIZE * gid, mad24((int)sizeof(sumT), y + lid, dst_offset)); #ifdef SUM_SQUARE int dst_sq_index = mad24(dst_sq_step, LOCAL_SUM_SIZE * gid, mad24((int)sizeof(sumSQT), y + lid, dst_sq_offset)); #endif lsum_index = LOCAL_SUM_STRIDE * lid; int yin_max = min(rows - 1 - LOCAL_SUM_SIZE * gid, LOCAL_SUM_SIZE); #pragma unroll for (int yin = 0; yin < yin_max; yin++, lsum_index++) { dst = (__global sumT *)(dst_ptr + dst_index); dst[0] = lm_sum[lsum_index]; dst_index += dst_step; #ifdef SUM_SQUARE dst_sq = (__global sumSQT *)(dst_sq_ptr + dst_sq_index); dst_sq[0] = lm_sum_sq[lsum_index]; dst_sq_index += dst_sq_step; #endif } } barrier(CLK_LOCAL_MEM_FENCE); } } ed75bf92c46b18f3cbb1b0b85ed3d46dlaplacian3#define DIG(a) a, __constant float kx[] = { KERNEL_MATRIX }; #define OP(delta, x) (convert_float16(arr[delta + x]) * kx[x]) __kernel void laplacian3_8UC1_cols16_rows2(__global const uint* src, int src_step, __global uint* dst, int dst_step, int rows, int cols, float delta) { int block_x = get_global_id(0); int y = get_global_id(1) * 2; int ssx, dsx; if ((block_x * 16) >= cols || y >= rows) return; uint4 line[4]; uint4 line_out[2]; uchar a; uchar16 b; uchar c; uchar d; uchar16 e; uchar f; uchar g; uchar16 h; uchar i; uchar j; uchar16 k; uchar l; ssx = dsx = 1; int src_index = block_x * 4 * ssx + (y - 1) * (src_step / 4); line[1] = vload4(0, src + src_index + (src_step / 4)); line[2] = vload4(0, src + src_index + 2 * (src_step / 4)); #ifdef BORDER_CONSTANT line[0] = (y == 0) ? (uint4)0 : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? (uint4)0 : vload4(0, src + src_index + 3 * (src_step / 4)); #elif defined BORDER_REFLECT_101 line[0] = (y == 0) ? line[2] : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? line[1] : vload4(0, src + src_index + 3 * (src_step / 4)); #elif defined (BORDER_REPLICATE) || defined(BORDER_REFLECT) line[0] = (y == 0) ? line[1] : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? line[2] : vload4(0, src + src_index + 3 * (src_step / 4)); #endif __global uchar *src_p = (__global uchar *)src; src_index = block_x * 16 * ssx + (y - 1) * src_step; bool line_end = ((block_x + 1) * 16 == cols); b = as_uchar16(line[0]); e = as_uchar16(line[1]); h = as_uchar16(line[2]); k = as_uchar16(line[3]); #ifdef BORDER_CONSTANT a = (block_x == 0 || y == 0) ? 0 : src_p[src_index - 1]; c = (line_end || y == 0) ? 0 : src_p[src_index + 16]; d = (block_x == 0) ? 0 : src_p[src_index + src_step - 1]; f = line_end ? 0 : src_p[src_index + src_step + 16]; g = (block_x == 0) ? 0 : src_p[src_index + 2 * src_step - 1]; i = line_end ? 0 : src_p[src_index + 2 * src_step + 16]; j = (block_x == 0 || y == (rows - 2)) ? 0 : src_p[src_index + 3 * src_step - 1]; l = (line_end || y == (rows - 2))? 0 : src_p[src_index + 3 * src_step + 16]; #elif defined BORDER_REFLECT_101 int offset; offset = (y == 0) ? (2 * src_step) : 0; a = (block_x == 0) ? src_p[src_index + offset + 1] : src_p[src_index + offset - 1]; c = line_end ? src_p[src_index + offset + 14] : src_p[src_index + offset + 16]; d = (block_x == 0) ? src_p[src_index + src_step + 1] : src_p[src_index + src_step - 1]; f = line_end ? src_p[src_index + src_step + 14] : src_p[src_index + src_step + 16]; g = (block_x == 0) ? src_p[src_index + 2 * src_step + 1] : src_p[src_index + 2 * src_step - 1]; i = line_end ? src_p[src_index + 2 * src_step + 14] : src_p[src_index + 2 * src_step + 16]; offset = (y == (rows - 2)) ? (1 * src_step) : (3 * src_step); j = (block_x == 0) ? src_p[src_index + offset + 1] : src_p[src_index + offset - 1]; l = line_end ? src_p[src_index + offset + 14] : src_p[src_index + offset + 16]; #elif defined (BORDER_REPLICATE) || defined(BORDER_REFLECT) int offset; offset = (y == 0) ? (1 * src_step) : 0; a = (block_x == 0) ? src_p[src_index + offset] : src_p[src_index + offset - 1]; c = line_end ? src_p[src_index + offset + 15] : src_p[src_index + offset + 16]; d = (block_x == 0) ? src_p[src_index + src_step] : src_p[src_index + src_step - 1]; f = line_end ? src_p[src_index + src_step + 15] : src_p[src_index + src_step + 16]; g = (block_x == 0) ? src_p[src_index + 2 * src_step] : src_p[src_index + 2 * src_step - 1]; i = line_end ? src_p[src_index + 2 * src_step + 15] : src_p[src_index + 2 * src_step + 16]; offset = (y == (rows - 2)) ? (2 * src_step) : (3 * src_step); j = (block_x == 0) ? src_p[src_index + offset] : src_p[src_index + offset - 1]; l = line_end ? src_p[src_index + offset + 15] : src_p[src_index + offset + 16]; #endif uchar16 arr[12]; float16 sum[2]; arr[0] = (uchar16)(a, b.s0123, b.s456789ab, b.scde); arr[1] = b; arr[2] = (uchar16)(b.s123, b.s4567, b.s89abcdef, c); arr[3] = (uchar16)(d, e.s0123, e.s456789ab, e.scde); arr[4] = e; arr[5] = (uchar16)(e.s123, e.s4567, e.s89abcdef, f); arr[6] = (uchar16)(g, h.s0123, h.s456789ab, h.scde); arr[7] = h; arr[8] = (uchar16)(h.s123, h.s4567, h.s89abcdef, i); arr[9] = (uchar16)(j, k.s0123, k.s456789ab, k.scde); arr[10] = k; arr[11] = (uchar16)(k.s123, k.s4567, k.s89abcdef, l); sum[0] = OP(0, 0) + OP(0, 1) + OP(0, 2) + OP(0, 3) + OP(0, 4) + OP(0, 5) + OP(0, 6) + OP(0, 7) + OP(0, 8); sum[1] = OP(3, 0) + OP(3, 1) + OP(3, 2) + OP(3, 3) + OP(3, 4) + OP(3, 5) + OP(3, 6) + OP(3, 7) + OP(3, 8); line_out[0] = as_uint4(convert_uchar16_sat_rte(sum[0] + delta)); line_out[1] = as_uint4(convert_uchar16_sat_rte(sum[1] + delta)); int dst_index = block_x * 4 * dsx + y * (dst_step / 4); vstore4(line_out[0], 0, dst + dst_index); vstore4(line_out[1], 0, dst + dst_index + (dst_step / 4)); } c7b7eb4f034bd214e42f2dccc9ffd970laplacian5#define noconvert #ifdef ONLY_SUM_CONVERT __kernel void sumConvert(__global const uchar * src1ptr, int src1_step, int src1_offset, __global const uchar * src2ptr, int src2_step, int src2_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, coeffT scale, coeffT delta) { int x = get_global_id(0); int y = get_global_id(1); if (y < dst_rows && x < dst_cols) { int src1_index = mad24(y, src1_step, mad24(x, (int)sizeof(srcT), src1_offset)); int src2_index = mad24(y, src2_step, mad24(x, (int)sizeof(srcT), src2_offset)); int dst_index = mad24(y, dst_step, mad24(x, (int)sizeof(dstT), dst_offset)); __global const srcT * src1 = (__global const srcT *)(src1ptr + src1_index); __global const srcT * src2 = (__global const srcT *)(src2ptr + src2_index); __global dstT * dst = (__global dstT *)(dstptr + dst_index); #if wdepth <= 4 dst[0] = convertToDT( mad24((WT)(scale), convertToWT(src1[0]) + convertToWT(src2[0]), (WT)(delta)) ); #else dst[0] = convertToDT( mad((WT)(scale), convertToWT(src1[0]) + convertToWT(src2[0]), (WT)(delta)) ); #endif } } #else #ifdef BORDER_CONSTANT #define EXTRAPOLATE(x, maxV) #elif defined BORDER_REPLICATE #define EXTRAPOLATE(x, maxV) \ { \ (x) = clamp((x), 0, (maxV)-1); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(x, maxV) \ { \ (x) = ( (x) + (maxV) ) % (maxV); \ } #elif defined BORDER_REFLECT #define EXTRAPOLATE(x, maxV) \ { \ (x) = min(((maxV)-1)*2-(x)+1, max((x),-(x)-1) ); \ } #elif defined BORDER_REFLECT_101 #define EXTRAPOLATE(x, maxV) \ { \ (x) = min(((maxV)-1)*2-(x), max((x),-(x)) ); \ } #else #error No extrapolation method #endif #if CN != 3 #define loadpix(addr) *(__global const srcT *)(addr) #define storepix(val, addr) *(__global dstT *)(addr) = val #define SRCSIZE (int)sizeof(srcT) #define DSTSIZE (int)sizeof(dstT) #else #define loadpix(addr) vload3(0, (__global const srcT1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global dstT1 *)(addr)) #define SRCSIZE (int)sizeof(srcT1)*3 #define DSTSIZE (int)sizeof(dstT1)*3 #endif #define SRC(_x,_y) convertToWT(loadpix(Src + mad24(_y, src_step, SRCSIZE * _x))) #ifdef BORDER_CONSTANT #define ELEM(_x,_y,r_edge,t_edge,const_v) (_x)<0 | (_x) >= (r_edge) | (_y)<0 | (_y) >= (t_edge) ? (const_v) : SRC((_x),(_y)) #else #define ELEM(_x,_y,r_edge,t_edge,const_v) SRC((_x),(_y)) #endif #define DIG(a) a, __constant WT1 mat_kernelX[] = { KERNEL_MATRIX_X }; __constant WT1 mat_kernelY[] = { KERNEL_MATRIX_Y }; __kernel void laplacian(__global uchar* Src, int src_step, int srcOffsetX, int srcOffsetY, int height, int width, __global uchar* Dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, WT1 scale, WT1 delta) { __local WT lsmem[BLK_Y + 2 * RADIUS][BLK_X + 2 * RADIUS]; __local WT lsmemDy1[BLK_Y][BLK_X + 2 * RADIUS]; __local WT lsmemDy2[BLK_Y][BLK_X + 2 * RADIUS]; int lix = get_local_id(0); int liy = get_local_id(1); int x = get_global_id(0); int srcX = x + srcOffsetX - RADIUS; int clocY = liy; do { int yb = clocY + srcOffsetY - RADIUS; EXTRAPOLATE(yb, (height)); int clocX = lix; int cSrcX = srcX; do { int xb = cSrcX; EXTRAPOLATE(xb,(width)); lsmem[clocY][clocX] = ELEM(xb, yb, (width), (height), 0 ); clocX += BLK_X; cSrcX += BLK_X; } while(clocX < BLK_X+(RADIUS*2)); clocY += BLK_Y; } while (clocY < BLK_Y+(RADIUS*2)); barrier(CLK_LOCAL_MEM_FENCE); WT scale_v = (WT)scale; WT delta_v = (WT)delta; for (int y = 0; y < dst_rows; y+=BLK_Y) { int i, clocX = lix; WT sum1 = (WT) 0; WT sum2 = (WT) 0; do { sum1 = (WT) 0; sum2 = (WT) 0; for (i=0; i<=2*RADIUS; i++) { sum1 = mad(lsmem[liy + i][clocX], mat_kernelY[i], sum1); sum2 = mad(lsmem[liy + i][clocX], mat_kernelX[i], sum2); } lsmemDy1[liy][clocX] = sum1; lsmemDy2[liy][clocX] = sum2; clocX += BLK_X; } while(clocX < BLK_X+(RADIUS*2)); barrier(CLK_LOCAL_MEM_FENCE); if ((x < dst_cols) && (y + liy < dst_rows)) { sum1 = (WT) 0; sum2 = (WT) 0; for (i=0; i<=2*RADIUS; i++) { sum1 = mad(lsmemDy1[liy][lix+i], mat_kernelX[i], sum1); sum2 = mad(lsmemDy2[liy][lix+i], mat_kernelY[i], sum2); } WT sum = mad(scale_v, (sum1 + sum2), delta_v); storepix(convertToDT(sum), Dst + mad24(y + liy, dst_step, mad24(x, DSTSIZE, dst_offset))); } for (int i = liy * BLK_X + lix; i < (RADIUS*2) * (BLK_X+(RADIUS*2)); i += BLK_X * BLK_Y) { int clocX = i % (BLK_X+(RADIUS*2)); int clocY = i / (BLK_X+(RADIUS*2)); lsmem[clocY][clocX] = lsmem[clocY + BLK_Y][clocX]; } barrier(CLK_LOCAL_MEM_FENCE); int yb = y + liy + BLK_Y + srcOffsetY + RADIUS; EXTRAPOLATE(yb, (height)); clocX = lix; int cSrcX = x + srcOffsetX - RADIUS; do { int xb = cSrcX; EXTRAPOLATE(xb,(width)); lsmem[liy + 2*RADIUS][clocX] = ELEM(xb, yb, (width), (height), 0 ); clocX += BLK_X; cSrcX += BLK_X; } while(clocX < BLK_X+(RADIUS*2)); barrier(CLK_LOCAL_MEM_FENCE); } } #endif 3ce3fc1a1c2e6be3a8fd0d2f51afeaf1match_template#if cn != 3 #define loadpix(addr) *(__global const T *)(addr) #define TSIZE (int)sizeof(T) #else #define loadpix(addr) vload3(0, (__global const T1 *)(addr)) #define TSIZE ((int)sizeof(T1)*3) #endif #define SQSUMS_PTR(ox, oy) mad24(y + oy, src_sqsums_step, mad24(x + ox, cn, src_sqsums_offset)) #define SUMS_PTR(ox, oy) mad24(y + oy, src_sums_step, mad24(x + ox, cn, src_sums_offset)) #define SUMS(ox, oy) mad24(y+oy, src_sums_step, mad24(x+ox, (int)sizeof(T1)*cn, src_sums_offset)) #define SQ_SUMS(ox, oy) mad24(y+oy, src_sqsums_step, mad24(x+ox, (int)sizeof(T1)*cn, src_sqsums_offset)) inline float normAcc(float num, float denum) { if (fabs(num) < denum) return num / denum; if (fabs(num) < denum * 1.125f) return num > 0 ? 1 : -1; return 0; } inline float normAcc_SQDIFF(float num, float denum) { if (fabs(num) < denum) return num / denum; if (fabs(num) < denum * 1.125f) return num > 0 ? 1 : -1; return 1; } #define noconvert #if cn == 1 #define convertToDT(value) (float)(value) #elif cn == 2 #define convertToDT(value) (float)(value.x + value.y) #elif cn == 3 #define convertToDT(value) (float)(value.x + value.y + value.z) #elif cn == 4 #define convertToDT(value) (float)(value.x + value.y + value.z + value.w) #else #error "cn should be 1-4" #endif #ifdef CALC_SUM __kernel void calcSum(__global const uchar * srcptr, int src_step, int src_offset, int cols, int total, __global float * dst) { int lid = get_local_id(0), id = get_global_id(0); __local WT localmem[WGS2_ALIGNED]; WT accumulator = (WT)(0), tmp; for ( ; id < total; id += WGS) { int src_index = mad24(id / cols, src_step, mad24(id % cols, TSIZE, src_offset)); T src = loadpix(srcptr + src_index); tmp = convertToWT(src); accumulator = mad(tmp, tmp, accumulator); } if (lid < WGS2_ALIGNED) localmem[lid] = accumulator; barrier(CLK_LOCAL_MEM_FENCE); if (lid >= WGS2_ALIGNED && total >= WGS2_ALIGNED) localmem[lid - WGS2_ALIGNED] += accumulator; barrier(CLK_LOCAL_MEM_FENCE); for (int lsize = WGS2_ALIGNED >> 1; lsize > 0; lsize >>= 1) { if (lid < lsize) { int lid2 = lsize + lid; localmem[lid] += localmem[lid2]; } barrier(CLK_LOCAL_MEM_FENCE); } if (lid == 0) dst[0] = convertToDT(localmem[0]); } #elif defined FIRST_CHANNEL __kernel void extractFirstChannel( const __global uchar* img, int img_step, int img_offset, __global uchar* res, int res_step, int res_offset, int rows, int cols) { int x = get_global_id(0); int y = get_global_id(1)*PIX_PER_WI_Y; if(x < cols ) { #pragma unroll for (int cy=0; cy < PIX_PER_WI_Y && y < rows; ++cy, ++y) { T1 image = *(__global const T1*)(img + mad24(y, img_step, mad24(x, (int)sizeof(T1)*cn, img_offset)));; int res_idx = mad24(y, res_step, mad24(x, (int)sizeof(float), res_offset)); *(__global float *)(res + res_idx) = image; } } } #elif defined CCORR #if cn==1 && PIX_PER_WI_X==4 __kernel void matchTemplate_Naive_CCORR(__global const uchar * srcptr, int src_step, int src_offset, __global const uchar * templateptr, int template_step, int template_offset, int template_rows, int template_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int x0 = get_global_id(0)*PIX_PER_WI_X; int y = get_global_id(1); if (y < dst_rows) { if (x0 + PIX_PER_WI_X <= dst_cols) { WT sum = (WT)(0); int ind = mad24(y, src_step, mad24(x0, (int)sizeof(T1), src_offset)); __global const T1 * template = (__global const T1*)(templateptr + template_offset); for (int i = 0; i < template_rows; ++i) { for (int j = 0; j < template_cols; ++j) { T temp = (T)(template[j]); T src = vload4(0, (__global const T1*)(srcptr + ind + j*(int)sizeof(T1))); sum = mad(convertToWT(src), convertToWT(temp), sum); } ind += src_step; template = (__global const T1 *)((__global const uchar *)template + template_step); } T temp = (T)(template[0]); int dst_idx = mad24(y, dst_step, mad24(x0, (int)sizeof(float), dst_offset)); *(__global float4 *)(dst + dst_idx) = convert_float4(sum); } else { WT1 sum [PIX_PER_WI_X]; #pragma unroll for (int i=0; i < PIX_PER_WI_X; i++) sum[i] = 0; __global const T1 * src = (__global const T1 *)(srcptr + mad24(y, src_step, mad24(x0, (int)sizeof(T1), src_offset))); __global const T1 * template = (__global const T1 *)(templateptr + template_offset); for (int i = 0; i < template_rows; ++i) { for (int j = 0; j < template_cols; ++j) { #pragma unroll for (int cx=0, x = x0; cx < PIX_PER_WI_X && x < dst_cols; ++cx, ++x) { sum[cx] = mad(convertToWT1(src[j+cx]), convertToWT1(template[j]), sum[cx]); } } src = (__global const T1 *)((__global const uchar *)src + src_step); template = (__global const T1 *)((__global const uchar *)template + template_step); } #pragma unroll for (int cx=0; cx < PIX_PER_WI_X && x0 < dst_cols; ++cx, ++x0) { int dst_idx = mad24(y, dst_step, mad24(x0, (int)sizeof(float), dst_offset)); *(__global float *)(dst + dst_idx) = convertToDT(sum[cx]); } } } } #else __kernel void matchTemplate_Naive_CCORR(__global const uchar * srcptr, int src_step, int src_offset, __global const uchar * templateptr, int template_step, int template_offset, int template_rows, int template_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { WT sum = (WT)(0); for (int i = 0; i < template_rows; ++i) { for (int j = 0; j < template_cols; ++j) { T src = loadpix(srcptr + mad24(y+i, src_step, mad24(x+j, TSIZE, src_offset))); T template = loadpix(templateptr + mad24(i, template_step, mad24(j, TSIZE, template_offset))); sum = mad(convertToWT(src), convertToWT(template), sum); } } int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); *(__global float *)(dst + dst_idx) = convertToDT(sum); } } #endif #elif defined CCORR_NORMED __kernel void matchTemplate_CCORR_NORMED(__global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int template_rows, int template_cols, __global const float * template_sqsum) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { __global const float * sqsum = (__global const float *)(src_sqsums); src_sqsums_step /= sizeof(float); src_sqsums_offset /= sizeof(float); float image_sqsum_ = (float)(sqsum[SQSUMS_PTR(template_cols, template_rows)] - sqsum[SQSUMS_PTR(template_cols, 0)] - sqsum[SQSUMS_PTR(0, template_rows)] + sqsum[SQSUMS_PTR(0, 0)]); int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); __global float * dstult = (__global float *)(dst + dst_idx); *dstult = normAcc(*dstult, sqrt(image_sqsum_ * template_sqsum[0])); } } #elif defined SQDIFF __kernel void matchTemplate_Naive_SQDIFF(__global const uchar * srcptr, int src_step, int src_offset, __global const uchar * templateptr, int template_step, int template_offset, int template_rows, int template_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { WT sum = (WT)(0), value; for (int i = 0; i < template_rows; ++i) { for (int j = 0; j < template_cols; ++j) { T src = loadpix(srcptr + mad24(y+i, src_step, mad24(x+j, TSIZE, src_offset))); T template = loadpix(templateptr + mad24(i, template_step, mad24(j, TSIZE, template_offset))); value = convertToWT(src) - convertToWT(template); sum = mad(value, value, sum); } } int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); *(__global float *)(dst + dst_idx) = convertToDT(sum); } } #elif defined SQDIFF_PREPARED __kernel void matchTemplate_Prepared_SQDIFF(__global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int template_rows, int template_cols, __global const float * template_sqsum) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { src_sqsums_step /= sizeof(float); src_sqsums_offset /= sizeof(float); __global const float * sqsum = (__global const float *)(src_sqsums); float image_sqsum_ = (float)( (sqsum[SQSUMS_PTR(template_cols, template_rows)] - sqsum[SQSUMS_PTR(template_cols, 0)]) - (sqsum[SQSUMS_PTR(0, template_rows)] - sqsum[SQSUMS_PTR(0, 0)])); float template_sqsum_value = template_sqsum[0]; int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); __global float * dstult = (__global float *)(dst + dst_idx); *dstult = image_sqsum_ - 2.0f * dstult[0] + template_sqsum_value; } } #elif defined SQDIFF_NORMED __kernel void matchTemplate_SQDIFF_NORMED(__global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int template_rows, int template_cols, __global const float * template_sqsum) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { src_sqsums_step /= sizeof(float); src_sqsums_offset /= sizeof(float); __global const float * sqsum = (__global const float *)(src_sqsums); float image_sqsum_ = (float)( (sqsum[SQSUMS_PTR(template_cols, template_rows)] - sqsum[SQSUMS_PTR(template_cols, 0)]) - (sqsum[SQSUMS_PTR(0, template_rows)] - sqsum[SQSUMS_PTR(0, 0)])); float template_sqsum_value = template_sqsum[0]; int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); __global float * dstult = (__global float *)(dst + dst_idx); *dstult = normAcc_SQDIFF(image_sqsum_ - 2.0f * dstult[0] + template_sqsum_value, sqrt(image_sqsum_ * template_sqsum_value)); } } #elif defined CCOEFF #if cn == 1 __kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int src_sums_step, int src_sums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int template_rows, int template_cols, float template_sum) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { __global const T* sum = (__global const T*)(src_sums + mad24(y, src_sums_step, mad24(x, (int)sizeof(T), src_sums_offset))); int step = src_sums_step/(int)sizeof(T); T image_sum = (T)(0), value; value = (T)(sum[mad24(template_rows, step, template_cols)] - sum[mad24(template_rows, step, 0)] - sum[template_cols] + sum[0]); image_sum = mad(value, template_sum , image_sum); int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); *(__global float *)(dst + dst_idx) -= convertToDT(image_sum); } } #elif cn==3 __kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int src_sums_step, int src_sums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int template_rows, int template_cols, float4 template_sum) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { T image_sum = (T)(0), value, temp_sum; temp_sum.x = template_sum.x; temp_sum.y = template_sum.y; temp_sum.z = template_sum.z; value = vload3(0, (__global const T1 *)(src_sums + SUMS(template_cols, template_rows))); value -= vload3(0, (__global const T1 *)(src_sums + SUMS(0, template_rows))); value -= vload3(0, (__global const T1 *)(src_sums + SUMS(template_cols, 0))); value += vload3(0, (__global const T1 *)(src_sums + SUMS(0, 0))); image_sum = mad(value, temp_sum , 0); int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); *(__global float *)(dst + dst_idx) -= convertToDT(image_sum); } } #elif (cn==2 || cn==4) __kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int src_sums_step, int src_sums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int template_rows, int template_cols, float4 template_sum) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { __global const T* sum = (__global const T*)(src_sums + mad24(y, src_sums_step, mad24(x, (int)sizeof(T), src_sums_offset))); int step = src_sums_step/(int)sizeof(T); T image_sum = (T)(0), value, temp_sum; #if cn==2 temp_sum.x = template_sum.x; temp_sum.y = template_sum.y; #else temp_sum = template_sum; #endif value = (sum[mad24(template_rows, step, template_cols)] - sum[mad24(template_rows, step, 0)] - sum[template_cols] + sum[0]); image_sum = mad(value, temp_sum , image_sum); int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); *(__global float *)(dst + dst_idx) -= convertToDT(image_sum); } } #else #error "cn should be 1-4" #endif #elif defined CCOEFF_NORMED #if cn == 1 __kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int src_sums_step, int src_sums_offset, __global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int t_rows, int t_cols, float weight, float template_sum, float template_sqsum) { int x = get_global_id(0); int y = get_global_id(1); float sum_[2]; float sqsum_[2]; if (x < dst_cols && y < dst_rows) { int step = src_sums_step/(int)sizeof(T); __global const T* sum = (__global const T*)(src_sums + mad24(y, src_sums_step, mad24(x, (int)sizeof(T), src_sums_offset))); __global const T* sqsum = (__global const T*)(src_sqsums + mad24(y, src_sqsums_step, mad24(x, (int)sizeof(T), src_sqsums_offset))); T value_sum = sum[mad24(t_rows, step, t_cols)] - sum[mad24(t_rows, step, 0)] - sum[t_cols] + sum[0]; T value_sqsum = sqsum[mad24(t_rows, step, t_cols)] - sqsum[mad24(t_rows, step, 0)] - sqsum[t_cols] + sqsum[0]; float num = convertToDT(mad(value_sum, template_sum, (float)0)); value_sqsum -= weight * value_sum * value_sum; float denum = sqrt(mad(template_sqsum, convertToDT(value_sqsum), (float)0)); int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); __global float * dstult = (__global float *)(dst+dst_idx); *dstult = normAcc((*dstult) - num, denum); } } #elif cn==3 __kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int src_sums_step, int src_sums_offset, __global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int t_rows, int t_cols, float weight, float4 template_sum, float template_sqsum) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { int step = src_sums_step/(int)sizeof(T); T temp_sum, value_sum, value_sqsum; temp_sum.x = template_sum.x; temp_sum.y = template_sum.y; temp_sum.z = template_sum.z; value_sum = vload3(0, (__global const T1 *)(src_sums + SUMS(t_cols, t_rows))); value_sum -= vload3(0, (__global const T1 *)(src_sums + SUMS(0, t_rows))); value_sum -= vload3(0, (__global const T1 *)(src_sums + SUMS(t_cols, 0))); value_sum += vload3(0, (__global const T1 *)(src_sums + SUMS(0, 0))); value_sqsum = vload3(0, (__global const T1 *)(src_sqsums + SQ_SUMS(t_cols, t_rows))); value_sqsum -= vload3(0, (__global const T1 *)(src_sqsums + SQ_SUMS(0, t_rows))); value_sqsum -= vload3(0, (__global const T1 *)(src_sqsums + SQ_SUMS(t_cols, 0))); value_sqsum += vload3(0, (__global const T1 *)(src_sqsums + SQ_SUMS(0, 0))); float num = convertToDT(mad(value_sum, temp_sum, 0)); value_sqsum -= weight * value_sum * value_sum; float denum = sqrt(mad(template_sqsum, convertToDT(value_sqsum), (float)0)); int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); __global float * dstult = (__global float *)(dst+dst_idx); *dstult = normAcc((*dstult) - num, denum); } } #elif (cn==2 || cn==4) __kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int src_sums_step, int src_sums_offset, __global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, int t_rows, int t_cols, float weight, float4 template_sum, float template_sqsum) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { int step = src_sums_step/(int)sizeof(T); T temp_sum; __global const T* sum = (__global const T*)(src_sums + mad24(y, src_sums_step, mad24(x, (int)sizeof(T), src_sums_offset))); __global const T* sqsum = (__global const T*)(src_sqsums + mad24(y, src_sqsums_step, mad24(x, (int)sizeof(T), src_sqsums_offset))); T value_sum = sum[mad24(t_rows, step, t_cols)] - sum[mad24(t_rows, step, 0)] - sum[t_cols] + sum[0]; T value_sqsum = sqsum[mad24(t_rows, step, t_cols)] - sqsum[mad24(t_rows, step, 0)] - sqsum[t_cols] + sqsum[0]; #if cn==2 temp_sum.x = template_sum.x; temp_sum.y = template_sum.y; #else temp_sum = template_sum; #endif float num = convertToDT(mad(value_sum, temp_sum, 0)); value_sqsum -= weight * value_sum * value_sum; float denum = sqrt(mad(template_sqsum, convertToDT(value_sqsum), (float)0)); int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset)); __global float * dstult = (__global float *)(dst+dst_idx); *dstult = normAcc((*dstult) - num, denum); } } #else #error "cn should be 1-4" #endif #endif b1f65f1ba4717552e461b432297031d6medianFilter#if cn != 3 #define loadpix(addr) *(__global const T *)(addr) #define storepix(val, addr) *(__global T *)(addr) = val #define TSIZE (int)sizeof(T) #else #define loadpix(addr) vload3(0, (__global const T1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global T1 *)(addr)) #define TSIZE (int)sizeof(T1) * cn #endif #define OP(a,b) { mid=a; a=min(a,b); b=max(mid,b);} #ifdef USE_4OPT #if cn == 1 #define LOAD4(val, offs) (val) = vload4(0, (__global T1 *)(srcptr + src_index + (offs))) #define STORE4(val, offs) vstore4((val), 0, (__global T1 *)(dstptr + (offs))) #define SHUFFLE4_3(src0, src1, src2, dst0, dst1, dst2) { dst1 = src1; \ dst0 = (T4)(src0, dst1.xyz); \ dst2 = (T4)(dst1.yzw, src2); } #define SHUFFLE4_5(src0, src1, src2, src3, src4, dst0, dst1, dst2, dst3, dst4) { dst2 = src2; \ dst0 = (T4)(src0, src1, dst2.xy); \ dst1 = (T4)(src1, dst2.xyz); \ dst3 = (T4)(dst2.yzw, src3); \ dst4 = (T4)(dst2.zw, src3, src4); } #elif cn == 2 #define LOAD4(val, offs) (val) = vload8(0, (__global T1 *)(srcptr + src_index + (offs))) #define STORE4(val, offs) vstore8((val), 0, (__global T1 *)(dstptr + (offs))) #define SHUFFLE4_3(src0, src1, src2, dst0, dst1, dst2) { dst1 = src1; \ dst0 = (T4)(src0, dst1.s012345); \ dst2 = (T4)(dst1.s234567, src2); } #define SHUFFLE4_5(src0, src1, src2, src3, src4, dst0, dst1, dst2, dst3, dst4) { dst2 = src2; \ dst0 = (T4)(src0, src1, dst2.s0123); \ dst1 = (T4)(src1, dst2.s012345); \ dst3 = (T4)(dst2.s234567, src3); \ dst4 = (T4)(dst2.s4567, src3, src4); } #elif cn == 4 #define LOAD4(val, offs) (val) = vload16(0, (__global T1 *)(srcptr + src_index + (offs))) #define STORE4(val, offs) vstore16((val), 0, (__global T1 *)(dstptr + (offs))) #define SHUFFLE4_3(src0, src1, src2, dst0, dst1, dst2) { dst1 = src1; \ dst0 = (T4)(src0, dst1.s0123456789ab ); \ dst2 = (T4)(dst1.s456789abcdef, src2); } #define SHUFFLE4_5(src0, src1, src2, src3, src4, dst0, dst1, dst2, dst3, dst4) { dst2 = src2; \ dst0 = (T4)(src0, src1, dst2.s01234567); \ dst1 = (T4)(src1, dst2.s0123456789ab); \ dst3 = (T4)(dst2.s456789abcdef, src3); \ dst4 = (T4)(dst2.s89abcdef, src3, src4); } #endif __kernel void medianFilter3_u(__global const uchar* srcptr, int srcStep, int srcOffset, __global uchar* dstptr, int dstStep, int dstOffset, int rows, int cols) { int gx= get_global_id(0) << 2; int gy= get_global_id(1) << 2; if( gy >= rows || gx >= cols) return; T c0; T4 c1; T c2; T c3; T4 c4; T c5; T c6; T4 c7; T c8; int x_left = mad24(max(gx-1, 0), TSIZE, srcOffset); int x_central = mad24(gx, TSIZE, srcOffset); int x_right = mad24(min(gx+4, cols-1), TSIZE, srcOffset); int xdst = mad24(gx, TSIZE, dstOffset); int src_index = max(gy-1, 0)*srcStep; c0 = *(__global T *)(srcptr + src_index + x_left); LOAD4(c1, x_central); c2 = *(__global T *)(srcptr + src_index + x_right); src_index = gy*srcStep; c3 = *(__global T *)(srcptr + src_index + x_left); LOAD4(c4, x_central); c5 = *(__global T *)(srcptr + src_index + x_right); #define ITER3(k) { \ src_index = min(gy+k+1, rows-1)*srcStep; \ c6 = *(__global T *)(srcptr + src_index + x_left); \ LOAD4(c7, x_central); \ c8 = *(__global T *)(srcptr + src_index + x_right); \ T4 p0, p1, p2, p3, p4, p5, p6, p7, p8; \ SHUFFLE4_3(c0, c1, c2, p0, p1, p2); \ SHUFFLE4_3(c3, c4, c5, p3, p4, p5); \ SHUFFLE4_3(c6, c7, c8, p6, p7, p8); \ T4 mid; \ OP(p1, p2); OP(p4, p5); OP(p7, p8); OP(p0, p1); \ OP(p3, p4); OP(p6, p7); OP(p1, p2); OP(p4, p5); \ OP(p7, p8); OP(p0, p3); OP(p5, p8); OP(p4, p7); \ OP(p3, p6); OP(p1, p4); OP(p2, p5); OP(p4, p7); \ OP(p4, p2); OP(p6, p4); OP(p4, p2); \ int dst_index = mad24( gy+k, dstStep, xdst); \ STORE4(p4, dst_index); \ c0 = c3; c1 = c4; c2 = c5; \ c3 = c6; c4 = c7; c5 = c8; \ } ITER3(0); ITER3(1); ITER3(2); ITER3(3); } __kernel void medianFilter5_u(__global const uchar* srcptr, int srcStep, int srcOffset, __global uchar* dstptr, int dstStep, int dstOffset, int rows, int cols) { int gx= get_global_id(0) << 2; int gy= get_global_id(1) << 2; if( gy >= rows || gx >= cols) return; T c0; T c1; T4 c2; T c3; T c4; T c5; T c6; T4 c7; T c8; T c9; T c10; T c11; T4 c12; T c13; T c14; T c15; T c16; T4 c17; T c18; T c19; T c20; T c21; T4 c22; T c23; T c24; int x_leftmost = mad24(max(gx-2, 0), TSIZE, srcOffset); int x_left = mad24(max(gx-1, 0), TSIZE, srcOffset); int x_central = mad24(gx, TSIZE, srcOffset); int x_right = mad24(min(gx+4, cols-1), TSIZE, srcOffset); int x_rightmost= mad24(min(gx+5, cols-1), TSIZE, srcOffset); int xdst = mad24(gx, TSIZE, dstOffset); int src_index = max(gy-2, 0)*srcStep; c0 = *(__global T *)(srcptr + src_index + x_leftmost); c1 = *(__global T *)(srcptr + src_index + x_left); LOAD4(c2, x_central); c3 = *(__global T *)(srcptr + src_index + x_right); c4 = *(__global T *)(srcptr + src_index + x_rightmost); src_index = max(gy-1, 0)*srcStep; c5 = *(__global T *)(srcptr + src_index + x_leftmost); c6 = *(__global T *)(srcptr + src_index + x_left); LOAD4(c7, x_central); c8 = *(__global T *)(srcptr + src_index + x_right); c9 = *(__global T *)(srcptr + src_index + x_rightmost); src_index = gy*srcStep; c10 = *(__global T *)(srcptr + src_index + x_leftmost); c11 = *(__global T *)(srcptr + src_index + x_left); LOAD4(c12, x_central); c13 = *(__global T *)(srcptr + src_index + x_right); c14 = *(__global T *)(srcptr + src_index + x_rightmost); src_index = (gy+1)*srcStep; c15 = *(__global T *)(srcptr + src_index + x_leftmost); c16 = *(__global T *)(srcptr + src_index + x_left); LOAD4(c17, x_central); c18 = *(__global T *)(srcptr + src_index + x_right); c19 = *(__global T *)(srcptr + src_index + x_rightmost); for(int k = 0; k < 4; k++) { src_index = min(gy+k+2, rows-1) * srcStep; c20 = *(__global T *)(srcptr + src_index + x_leftmost); c21 = *(__global T *)(srcptr + src_index + x_left); LOAD4(c22, x_central); c23 = *(__global T *)(srcptr + src_index + x_right); c24 = *(__global T *)(srcptr + src_index + x_rightmost); T4 p0, p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, p20, p21, p22, p23, p24; SHUFFLE4_5(c0, c1, c2, c3, c4, p0, p1, p2, p3, p4); SHUFFLE4_5(c5, c6, c7, c8, c9, p5, p6, p7, p8, p9); SHUFFLE4_5(c10, c11, c12, c13, c14, p10, p11, p12, p13, p14); SHUFFLE4_5(c15, c16, c17, c18, c19, p15, p16, p17, p18, p19); SHUFFLE4_5(c20, c21, c22, c23, c24, p20, p21, p22, p23, p24); T4 mid; OP(p1, p2); OP(p0, p1); OP(p1, p2); OP(p4, p5); OP(p3, p4); OP(p4, p5); OP(p0, p3); OP(p2, p5); OP(p2, p3); OP(p1, p4); OP(p1, p2); OP(p3, p4); OP(p7, p8); OP(p6, p7); OP(p7, p8); OP(p10, p11); OP(p9, p10); OP(p10, p11); OP(p6, p9); OP(p8, p11); OP(p8, p9); OP(p7, p10); OP(p7, p8); OP(p9, p10); OP(p0, p6); OP(p4, p10); OP(p4, p6); OP(p2, p8); OP(p2, p4); OP(p6, p8); OP(p1, p7); OP(p5, p11); OP(p5, p7); OP(p3, p9); OP(p3, p5); OP(p7, p9); OP(p1, p2); OP(p3, p4); OP(p5, p6); OP(p7, p8); OP(p9, p10); OP(p13, p14); OP(p12, p13); OP(p13, p14); OP(p16, p17); OP(p15, p16); OP(p16, p17); OP(p12, p15); OP(p14, p17); OP(p14, p15); OP(p13, p16); OP(p13, p14); OP(p15, p16); OP(p19, p20); OP(p18, p19); OP(p19, p20); OP(p21, p22); OP(p23, p24); OP(p21, p23); OP(p22, p24); OP(p22, p23); OP(p18, p21); OP(p20, p23); OP(p20, p21); OP(p19, p22); OP(p22, p24); OP(p19, p20); OP(p21, p22); OP(p23, p24); OP(p12, p18); OP(p16, p22); OP(p16, p18); OP(p14, p20); OP(p20, p24); OP(p14, p16); OP(p18, p20); OP(p22, p24); OP(p13, p19); OP(p17, p23); OP(p17, p19); OP(p15, p21); OP(p15, p17); OP(p19, p21); OP(p13, p14); OP(p15, p16); OP(p17, p18); OP(p19, p20); OP(p21, p22); OP(p23, p24); OP(p0, p12); OP(p8, p20); OP(p8, p12); OP(p4, p16); OP(p16, p24); OP(p12, p16); OP(p2, p14); OP(p10, p22); OP(p10, p14); OP(p6, p18); OP(p6, p10); OP(p10, p12); OP(p1, p13); OP(p9, p21); OP(p9, p13); OP(p5, p17); OP(p13, p17); OP(p3, p15); OP(p11, p23); OP(p11, p15); OP(p7, p19); OP(p7, p11); OP(p11, p13); OP(p11, p12); int dst_index = mad24( gy+k, dstStep, xdst); STORE4(p12, dst_index); c0=c5; c1=c6; c2=c7; c3=c8; c4=c9; c5=c10; c6=c11; c7=c12; c8=c13; c9=c14; c10=c15; c11=c16; c12=c17; c13=c18; c14=c19; c15=c20; c16=c21; c17=c22; c18=c23; c19=c24; } } #endif __kernel void medianFilter3(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols) { __local T data[18][18]; int x = get_local_id(0); int y = get_local_id(1); int gx = get_global_id(0); int gy = get_global_id(1); int dx = gx - x - 1; int dy = gy - y - 1; int id = min(mad24(x, 16, y), 9*18-1); int dr = id / 18; int dc = id % 18; int c = clamp(dx + dc, 0, dst_cols - 1); int r = clamp(dy + dr, 0, dst_rows - 1); int index1 = mad24(r, src_step, mad24(c, TSIZE, src_offset)); r = clamp(dy + dr + 9, 0, dst_rows - 1); int index9 = mad24(r, src_step, mad24(c, TSIZE, src_offset)); data[dr][dc] = loadpix(srcptr + index1); data[dr+9][dc] = loadpix(srcptr + index9); barrier(CLK_LOCAL_MEM_FENCE); T p0 = data[y][x], p1 = data[y][(x+1)], p2 = data[y][(x+2)]; T p3 = data[y+1][x], p4 = data[y+1][(x+1)], p5 = data[y+1][(x+2)]; T p6 = data[y+2][x], p7 = data[y+2][(x+1)], p8 = data[y+2][(x+2)]; T mid; OP(p1, p2); OP(p4, p5); OP(p7, p8); OP(p0, p1); OP(p3, p4); OP(p6, p7); OP(p1, p2); OP(p4, p5); OP(p7, p8); OP(p0, p3); OP(p5, p8); OP(p4, p7); OP(p3, p6); OP(p1, p4); OP(p2, p5); OP(p4, p7); OP(p4, p2); OP(p6, p4); OP(p4, p2); int dst_index = mad24( gy, dst_step, mad24(gx, TSIZE, dst_offset)); if (gy < dst_rows && gx < dst_cols) storepix(p4, dstptr + dst_index); } __kernel void medianFilter5(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols) { __local T data[20][20]; int x = get_local_id(0); int y = get_local_id(1); int gx = get_global_id(0); int gy = get_global_id(1); int dx = gx - x - 2; int dy = gy - y - 2; int id = min(mad24(x, 16, y), 10*20-1); int dr = id / 20; int dc = id % 20; int c = clamp(dx + dc, 0, dst_cols - 1); int r = clamp(dy + dr, 0, dst_rows - 1); int index1 = mad24(r, src_step, mad24(c, TSIZE, src_offset)); r = clamp(dy + dr + 10, 0, dst_rows - 1); int index10 = mad24(r, src_step, mad24(c, TSIZE, src_offset)); data[dr][dc] = loadpix(srcptr + index1); data[dr+10][dc] = loadpix(srcptr + index10); barrier(CLK_LOCAL_MEM_FENCE); T p0 = data[y][x], p1 = data[y][x+1], p2 = data[y][x+2], p3 = data[y][x+3], p4 = data[y][x+4]; T p5 = data[y+1][x], p6 = data[y+1][x+1], p7 = data[y+1][x+2], p8 = data[y+1][x+3], p9 = data[y+1][x+4]; T p10 = data[y+2][x], p11 = data[y+2][x+1], p12 = data[y+2][x+2], p13 = data[y+2][x+3], p14 = data[y+2][x+4]; T p15 = data[y+3][x], p16 = data[y+3][x+1], p17 = data[y+3][x+2], p18 = data[y+3][x+3], p19 = data[y+3][x+4]; T p20 = data[y+4][x], p21 = data[y+4][x+1], p22 = data[y+4][x+2], p23 = data[y+4][x+3], p24 = data[y+4][x+4]; T mid; OP(p1, p2); OP(p0, p1); OP(p1, p2); OP(p4, p5); OP(p3, p4); OP(p4, p5); OP(p0, p3); OP(p2, p5); OP(p2, p3); OP(p1, p4); OP(p1, p2); OP(p3, p4); OP(p7, p8); OP(p6, p7); OP(p7, p8); OP(p10, p11); OP(p9, p10); OP(p10, p11); OP(p6, p9); OP(p8, p11); OP(p8, p9); OP(p7, p10); OP(p7, p8); OP(p9, p10); OP(p0, p6); OP(p4, p10); OP(p4, p6); OP(p2, p8); OP(p2, p4); OP(p6, p8); OP(p1, p7); OP(p5, p11); OP(p5, p7); OP(p3, p9); OP(p3, p5); OP(p7, p9); OP(p1, p2); OP(p3, p4); OP(p5, p6); OP(p7, p8); OP(p9, p10); OP(p13, p14); OP(p12, p13); OP(p13, p14); OP(p16, p17); OP(p15, p16); OP(p16, p17); OP(p12, p15); OP(p14, p17); OP(p14, p15); OP(p13, p16); OP(p13, p14); OP(p15, p16); OP(p19, p20); OP(p18, p19); OP(p19, p20); OP(p21, p22); OP(p23, p24); OP(p21, p23); OP(p22, p24); OP(p22, p23); OP(p18, p21); OP(p20, p23); OP(p20, p21); OP(p19, p22); OP(p22, p24); OP(p19, p20); OP(p21, p22); OP(p23, p24); OP(p12, p18); OP(p16, p22); OP(p16, p18); OP(p14, p20); OP(p20, p24); OP(p14, p16); OP(p18, p20); OP(p22, p24); OP(p13, p19); OP(p17, p23); OP(p17, p19); OP(p15, p21); OP(p15, p17); OP(p19, p21); OP(p13, p14); OP(p15, p16); OP(p17, p18); OP(p19, p20); OP(p21, p22); OP(p23, p24); OP(p0, p12); OP(p8, p20); OP(p8, p12); OP(p4, p16); OP(p16, p24); OP(p12, p16); OP(p2, p14); OP(p10, p22); OP(p10, p14); OP(p6, p18); OP(p6, p10); OP(p10, p12); OP(p1, p13); OP(p9, p21); OP(p9, p13); OP(p5, p17); OP(p13, p17); OP(p3, p15); OP(p11, p23); OP(p11, p15); OP(p7, p19); OP(p7, p11); OP(p11, p13); OP(p11, p12); int dst_index = mad24(gy, dst_step, mad24(gx, TSIZE, dst_offset)); if (gy < dst_rows && gx < dst_cols) storepix(p12, dstptr + dst_index); } f082457348bfbcb2e2de3014f46093a8#if TILE_SIZE != 32 #error "TILE SIZE should be 32" #endif __kernel void moments(__global const uchar* src, int src_step, int src_offset, int src_rows, int src_cols, __global int* mom0, int xtiles) { int x0 = get_global_id(0); int y0 = get_group_id(1); int x, y = get_local_id(1); int x_min = x0*TILE_SIZE; int ypix = y0*TILE_SIZE + y; __local int mom[TILE_SIZE][10]; if (x_min < src_cols && y0*TILE_SIZE < src_rows) { if (ypix < src_rows) { int x_max = min(src_cols - x_min, TILE_SIZE); __global const uchar* ptr = src + src_offset + ypix*src_step + x_min; int4 S = (int4)(0, 0, 0, 0), p; #define SUM_ELEM(elem, ofs) \ (int4)(1, (ofs), (ofs)*(ofs), (ofs)*(ofs)*(ofs))*elem x = x_max & -4; if (x_max >= 4) { p = convert_int4(vload4(0, ptr)); #ifdef OP_MOMENTS_BINARY p = min(p, 1); #endif S += (int4)(p.s0, 0, 0, 0) + (int4)(p.s1, p.s1, p.s1, p.s1) + (int4)(p.s2, p.s2 * 2, p.s2 * 4, p.s2 * 8) + (int4)(p.s3, p.s3 * 3, p.s3 * 9, p.s3 * 27); if (x_max >= 8) { p = convert_int4(vload4(0, ptr + 4)); #ifdef OP_MOMENTS_BINARY p = min(p, 1); #endif S += (int4)(p.s0, p.s0 * 4, p.s0 * 16, p.s0 * 64) + (int4)(p.s1, p.s1 * 5, p.s1 * 25, p.s1 * 125) + (int4)(p.s2, p.s2 * 6, p.s2 * 36, p.s2 * 216) + (int4)(p.s3, p.s3 * 7, p.s3 * 49, p.s3 * 343); if (x_max >= 12) { p = convert_int4(vload4(0, ptr + 8)); #ifdef OP_MOMENTS_BINARY p = min(p, 1); #endif S += (int4)(p.s0, p.s0 * 8, p.s0 * 64, p.s0 * 512) + (int4)(p.s1, p.s1 * 9, p.s1 * 81, p.s1 * 729) + (int4)(p.s2, p.s2 * 10, p.s2 * 100, p.s2 * 1000) + (int4)(p.s3, p.s3 * 11, p.s3 * 121, p.s3 * 1331); if (x_max >= 16) { p = convert_int4(vload4(0, ptr + 12)); #ifdef OP_MOMENTS_BINARY p = min(p, 1); #endif S += (int4)(p.s0, p.s0 * 12, p.s0 * 144, p.s0 * 1728) + (int4)(p.s1, p.s1 * 13, p.s1 * 169, p.s1 * 2197) + (int4)(p.s2, p.s2 * 14, p.s2 * 196, p.s2 * 2744) + (int4)(p.s3, p.s3 * 15, p.s3 * 225, p.s3 * 3375); } } } } if (x_max >= 20) { p = convert_int4(vload4(0, ptr + 16)); #ifdef OP_MOMENTS_BINARY p = min(p, 1); #endif S += (int4)(p.s0, p.s0 * 16, p.s0 * 256, p.s0 * 4096) + (int4)(p.s1, p.s1 * 17, p.s1 * 289, p.s1 * 4913) + (int4)(p.s2, p.s2 * 18, p.s2 * 324, p.s2 * 5832) + (int4)(p.s3, p.s3 * 19, p.s3 * 361, p.s3 * 6859); if (x_max >= 24) { p = convert_int4(vload4(0, ptr + 20)); #ifdef OP_MOMENTS_BINARY p = min(p, 1); #endif S += (int4)(p.s0, p.s0 * 20, p.s0 * 400, p.s0 * 8000) + (int4)(p.s1, p.s1 * 21, p.s1 * 441, p.s1 * 9261) + (int4)(p.s2, p.s2 * 22, p.s2 * 484, p.s2 * 10648) + (int4)(p.s3, p.s3 * 23, p.s3 * 529, p.s3 * 12167); if (x_max >= 28) { p = convert_int4(vload4(0, ptr + 24)); #ifdef OP_MOMENTS_BINARY p = min(p, 1); #endif S += (int4)(p.s0, p.s0 * 24, p.s0 * 576, p.s0 * 13824) + (int4)(p.s1, p.s1 * 25, p.s1 * 625, p.s1 * 15625) + (int4)(p.s2, p.s2 * 26, p.s2 * 676, p.s2 * 17576) + (int4)(p.s3, p.s3 * 27, p.s3 * 729, p.s3 * 19683); if (x_max >= 32) { p = convert_int4(vload4(0, ptr + 28)); #ifdef OP_MOMENTS_BINARY p = min(p, 1); #endif S += (int4)(p.s0, p.s0 * 28, p.s0 * 784, p.s0 * 21952) + (int4)(p.s1, p.s1 * 29, p.s1 * 841, p.s1 * 24389) + (int4)(p.s2, p.s2 * 30, p.s2 * 900, p.s2 * 27000) + (int4)(p.s3, p.s3 * 31, p.s3 * 961, p.s3 * 29791); } } } } if (x < x_max) { int ps = ptr[x]; #ifdef OP_MOMENTS_BINARY ps = min(ps, 1); #endif S += SUM_ELEM(ps, x); if (x + 1 < x_max) { ps = ptr[x + 1]; #ifdef OP_MOMENTS_BINARY ps = min(ps, 1); #endif S += SUM_ELEM(ps, x + 1); if (x + 2 < x_max) { ps = ptr[x + 2]; #ifdef OP_MOMENTS_BINARY ps = min(ps, 1); #endif S += SUM_ELEM(ps, x + 2); } } } int sy = y*y; mom[y][0] = S.s0; mom[y][1] = S.s1; mom[y][2] = y*S.s0; mom[y][3] = S.s2; mom[y][4] = y*S.s1; mom[y][5] = sy*S.s0; mom[y][6] = S.s3; mom[y][7] = y*S.s2; mom[y][8] = sy*S.s1; mom[y][9] = y*sy*S.s0; } else mom[y][0] = mom[y][1] = mom[y][2] = mom[y][3] = mom[y][4] = mom[y][5] = mom[y][6] = mom[y][7] = mom[y][8] = mom[y][9] = 0; barrier(CLK_LOCAL_MEM_FENCE); #define REDUCE(d) \ if (y < d) \ { \ mom[y][0] += mom[y + d][0]; \ mom[y][1] += mom[y + d][1]; \ mom[y][2] += mom[y + d][2]; \ mom[y][3] += mom[y + d][3]; \ mom[y][4] += mom[y + d][4]; \ mom[y][5] += mom[y + d][5]; \ mom[y][6] += mom[y + d][6]; \ mom[y][7] += mom[y + d][7]; \ mom[y][8] += mom[y + d][8]; \ mom[y][9] += mom[y + d][9]; \ } \ barrier(CLK_LOCAL_MEM_FENCE) REDUCE(16); REDUCE(8); REDUCE(4); REDUCE(2); if (y < 10) { __global int* momout = mom0 + (y0*xtiles + x0) * 10; momout[y] = mom[0][y] + mom[1][y]; } } } 1d0545282b5860ed7eeeb6860fa9edc3#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define noconvert #if cn != 3 #define loadpix(addr) *(__global const T *)(addr) #define storepix(val, addr) *(__global T *)(addr) = val #define TSIZE (int)sizeof(T) #else #define loadpix(addr) vload3(0, (__global const T1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global T1 *)(addr)) #define TSIZE ((int)sizeof(T1)*3) #endif #ifdef DEPTH_0 #define MIN_VAL 0 #define MAX_VAL UCHAR_MAX #elif defined DEPTH_1 #define MIN_VAL SCHAR_MIN #define MAX_VAL SCHAR_MAX #elif defined DEPTH_2 #define MIN_VAL 0 #define MAX_VAL USHRT_MAX #elif defined DEPTH_3 #define MIN_VAL SHRT_MIN #define MAX_VAL SHRT_MAX #elif defined DEPTH_4 #define MIN_VAL INT_MIN #define MAX_VAL INT_MAX #elif defined DEPTH_5 #define MIN_VAL (-FLT_MAX) #define MAX_VAL FLT_MAX #elif defined DEPTH_6 #define MIN_VAL (-DBL_MAX) #define MAX_VAL DBL_MAX #endif #ifdef OP_ERODE #define VAL MAX_VAL #elif defined OP_DILATE #define VAL MIN_VAL #else #error "Unknown operation" #endif #ifdef OP_ERODE #if defined INTEL_DEVICE && defined DEPTH_0 #define MORPH_OP(A, B) ((A) < (B) ? (A) : (B)) #else #define MORPH_OP(A, B) min((A), (B)) #endif #endif #ifdef OP_DILATE #define MORPH_OP(A, B) max((A), (B)) #endif #define PROCESS(y, x) \ temp = LDS_DAT[mad24(l_y + y, width, l_x + x)]; \ res = MORPH_OP(res, temp); #define ELEM(i, l_edge, r_edge, elem1, elem2) (i) < (l_edge) | (i) >= (r_edge) ? (elem1) : (elem2) #if defined OP_GRADIENT || defined OP_TOPHAT || defined OP_BLACKHAT #define EXTRA_PARAMS , __global const uchar * matptr, int mat_step, int mat_offset #else #define EXTRA_PARAMS #endif __kernel void morph(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int src_offset_x, int src_offset_y, int cols, int rows, int src_whole_cols, int src_whole_rows EXTRA_PARAMS) { int gidx = get_global_id(0), gidy = get_global_id(1); int l_x = get_local_id(0), l_y = get_local_id(1); int x = get_group_id(0) * LSIZE0, y = get_group_id(1) * LSIZE1; int start_x = x + src_offset_x - RADIUSX; int width = mad24(RADIUSX, 2, LSIZE0 + 1); int start_y = y + src_offset_y - RADIUSY; int point1 = mad24(l_y, LSIZE0, l_x); int point2 = point1 + LSIZE0 * LSIZE1; int tl_x = point1 % width, tl_y = point1 / width; int tl_x2 = point2 % width, tl_y2 = point2 / width; int cur_x = start_x + tl_x, cur_y = start_y + tl_y; int cur_x2 = start_x + tl_x2, cur_y2 = start_y + tl_y2; int start_addr = mad24(cur_y, src_step, cur_x * TSIZE); int start_addr2 = mad24(cur_y2, src_step, cur_x2 * TSIZE); __local T LDS_DAT[2 * LSIZE1 * LSIZE0]; int end_addr = mad24(src_whole_rows - 1, src_step, src_whole_cols * TSIZE); start_addr = start_addr < end_addr && start_addr > 0 ? start_addr : 0; start_addr2 = start_addr2 < end_addr && start_addr2 > 0 ? start_addr2 : 0; T temp0 = loadpix(srcptr + start_addr); T temp1 = loadpix(srcptr + start_addr2); temp0 = ELEM(cur_x, 0, src_whole_cols, (T)(VAL), temp0); temp0 = ELEM(cur_y, 0, src_whole_rows, (T)(VAL), temp0); temp1 = ELEM(cur_x2, 0, src_whole_cols, (T)(VAL), temp1); temp1 = ELEM(cur_y2, 0, src_whole_rows, (T)(VAL), temp1); LDS_DAT[point1] = temp0; LDS_DAT[point2] = temp1; barrier(CLK_LOCAL_MEM_FENCE); if (gidx < cols && gidy < rows) { T res = (T)(VAL), temp; PROCESS_ELEMS; int dst_index = mad24(gidy, dst_step, mad24(gidx, TSIZE, dst_offset)); #if defined OP_GRADIENT || defined OP_TOPHAT || defined OP_BLACKHAT int mat_index = mad24(gidy, mat_step, mad24(gidx, TSIZE, mat_offset)); T value = loadpix(matptr + mat_index); #ifdef OP_GRADIENT storepix(convertToT(convertToWT(res) - convertToWT(value)), dstptr + dst_index); #elif defined OP_TOPHAT storepix(convertToT(convertToWT(value) - convertToWT(res)), dstptr + dst_index); #elif defined OP_BLACKHAT storepix(convertToT(convertToWT(res) - convertToWT(value)), dstptr + dst_index); #endif #else storepix(res, dstptr + dst_index); #endif } } 232e712bff362e53c55027da6e1e1584morph3x3#ifdef OP_ERODE #define OP(m1, m2) min(m1, m2) #define VAL UCHAR_MAX #endif #ifdef OP_DILATE #define OP(m1, m2) max(m1, m2) #define VAL 0 #endif #if defined OP_GRADIENT || defined OP_TOPHAT || defined OP_BLACKHAT #define EXTRA_PARAMS , __global const uchar * matptr, int mat_step, int mat_offset #else #define EXTRA_PARAMS #endif #define PROCESS(_y, _x) \ line_out[0] = OP(line_out[0], arr[_x + 3 * _y]); \ line_out[1] = OP(line_out[1], arr[_x + 3 * (_y + 1)]); #define PROCESS_ELEM \ line_out[0] = (uchar16)VAL; \ line_out[1] = (uchar16)VAL; \ PROCESS_ELEM_ __kernel void morph3x3_8UC1_cols16_rows2(__global const uint* src, int src_step, __global uint* dst, int dst_step, int rows, int cols EXTRA_PARAMS) { int block_x = get_global_id(0); int y = get_global_id(1) * 2; int ssx = 1, dsx = 1; if ((block_x * 16) >= cols || y >= rows) return; uchar a; uchar16 b; uchar c; uchar d; uchar16 e; uchar f; uchar g; uchar16 h; uchar i; uchar j; uchar16 k; uchar l; uchar16 line[4]; uchar16 line_out[2]; int src_index = block_x * 4 * ssx + (y - 1) * (src_step / 4); line[0] = (y == 0) ? (uchar16)VAL: as_uchar16(vload4(0, src + src_index)); line[1] = as_uchar16(vload4(0, src + src_index + (src_step / 4))); line[2] = as_uchar16(vload4(0, src + src_index + 2 * (src_step / 4))); line[3] = (y == (rows - 2)) ? (uchar16)VAL: as_uchar16(vload4(0, src + src_index + 3 * (src_step / 4))); __global uchar *src_p = (__global uchar *)src; bool line_end = ((block_x + 1) * 16 == cols); src_index = block_x * 16 * ssx + (y - 1) * src_step; a = (block_x == 0 || y == 0) ? VAL : src_p[src_index - 1]; b = line[0]; c = (line_end || y == 0) ? VAL : src_p[src_index + 16]; d = (block_x == 0) ? VAL : src_p[src_index + src_step - 1]; e = line[1]; f = line_end ? VAL : src_p[src_index + src_step + 16]; g = (block_x == 0) ? VAL : src_p[src_index + 2 * src_step - 1]; h = line[2]; i = line_end ? VAL : src_p[src_index + 2 * src_step + 16]; j = (block_x == 0 || y == (rows - 2)) ? VAL : src_p[src_index + 3 * src_step - 1]; k = line[3]; l = (line_end || y == (rows - 2)) ? VAL : src_p[src_index + 3 * src_step + 16]; uchar16 arr[12]; arr[0] = (uchar16)(a, b.s01234567, b.s89ab, b.scde); arr[1] = b; arr[2] = (uchar16)(b.s12345678, b.s9abc, b.sdef, c); arr[3] = (uchar16)(d, e.s01234567, e.s89ab, e.scde); arr[4] = e; arr[5] = (uchar16)(e.s12345678, e.s9abc, e.sdef, f); arr[6] = (uchar16)(g, h.s01234567, h.s89ab, h.scde); arr[7] = h; arr[8] = (uchar16)(h.s12345678, h.s9abc, h.sdef, i); arr[9] = (uchar16)(j, k.s01234567, k.s89ab, k.scde); arr[10] = k; arr[11] = (uchar16)(k.s12345678, k.s9abc, k.sdef, l); PROCESS_ELEM; int dst_index = block_x * 4 * dsx + y * (dst_step / 4); #if defined OP_GRADIENT || defined OP_TOPHAT || defined OP_BLACKHAT int mat_index = y * mat_step + block_x * 16 * ssx + mat_offset; uchar16 val0 = vload16(0, matptr + mat_index); uchar16 val1 = vload16(0, matptr + mat_index + mat_step); #ifdef OP_GRADIENT line_out[0] = convert_uchar16_sat(convert_int16(line_out[0]) - convert_int16(val0)); line_out[1] = convert_uchar16_sat(convert_int16(line_out[1]) - convert_int16(val1)); vstore4(as_uint4(line_out[0]), 0, dst + dst_index); vstore4(as_uint4(line_out[1]), 0, dst + dst_index + (dst_step / 4)); #elif defined OP_TOPHAT line_out[0] = convert_uchar16_sat(convert_int16(val0) - convert_int16(line_out[0])); line_out[1] = convert_uchar16_sat(convert_int16(val1) - convert_int16(line_out[1])); vstore4(as_uint4(line_out[0]), 0, dst + dst_index); vstore4(as_uint4(line_out[1]), 0, dst + dst_index + (dst_step / 4)); #elif defined OP_BLACKHAT line_out[0] = convert_uchar16_sat(convert_int16(line_out[0]) - convert_int16(val0)); line_out[1] = convert_uchar16_sat(convert_int16(line_out[1]) - convert_int16(val1)); vstore4(as_uint4(line_out[0]), 0, dst + dst_index); vstore4(as_uint4(line_out[1]), 0, dst + dst_index + (dst_step / 4)); #endif #else vstore4(as_uint4(line_out[0]), 0, dst + dst_index); vstore4(as_uint4(line_out[1]), 0, dst + dst_index + (dst_step / 4)); #endif } 69fd431a8819a531ceca227a115c0a07precornerdetect__kernel void preCornerDetect(__global const uchar * Dxptr, int dx_step, int dx_offset, __global const uchar * Dyptr, int dy_step, int dy_offset, __global const uchar * D2xptr, int d2x_step, int d2x_offset, __global const uchar * D2yptr, int d2y_step, int d2y_offset, __global const uchar * Dxyptr, int dxy_step, int dxy_offset, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, float factor) { int x = get_global_id(0); int y = get_global_id(1); if (x < dst_cols && y < dst_rows) { int dx_index = mad24(dx_step, y, (int)sizeof(float) * x + dx_offset); int dy_index = mad24(dy_step, y, (int)sizeof(float) * x + dy_offset); int d2x_index = mad24(d2x_step, y, (int)sizeof(float) * x + d2x_offset); int d2y_index = mad24(d2y_step, y, (int)sizeof(float) * x + d2y_offset); int dxy_index = mad24(dxy_step, y, (int)sizeof(float) * x + dxy_offset); int dst_index = mad24(dst_step, y, (int)sizeof(float) * x + dst_offset); float dx = *(__global const float *)(Dxptr + dx_index); float dy = *(__global const float *)(Dyptr + dy_index); float d2x = *(__global const float *)(D2xptr + d2x_index); float d2y = *(__global const float *)(D2yptr + d2y_index); float dxy = *(__global const float *)(Dxyptr + dxy_index); __global float * dst = (__global float *)(dstptr + dst_index); dst[0] = factor * (dx*dx*d2y + dy*dy*d2x - 2*dx*dy*dxy); } } 14a94db70b88aa76ff8840f03f3ad556pyr_down#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if defined BORDER_REPLICATE #define EXTRAPOLATE(x, maxV) clamp((x), 0, (maxV)-1) #elif defined BORDER_WRAP #define EXTRAPOLATE(x, maxV) ( (x) + (maxV) ) % (maxV) #elif defined BORDER_REFLECT #define EXTRAPOLATE(x, maxV) clamp(min(((maxV)-1)*2-(x)+1, max((x),-(x)-1) ), 0, (maxV)-1) #elif defined BORDER_REFLECT_101 || defined BORDER_REFLECT101 #define EXTRAPOLATE(x, maxV) clamp(min(((maxV)-1)*2-(x), max((x),-(x)) ), 0, (maxV)-1) #else #error No extrapolation method #endif #if cn != 3 #define loadpix(addr) *(__global const T*)(addr) #define storepix(val, addr) *(__global T*)(addr) = (val) #define PIXSIZE ((int)sizeof(T)) #else #define loadpix(addr) vload3(0, (__global const T1*)(addr)) #define storepix(val, addr) vstore3((val), 0, (__global T1*)(addr)) #define PIXSIZE ((int)sizeof(T1)*3) #endif #define SRC(_x,_y) convertToFT(loadpix(srcData + mad24(_y, src_step, PIXSIZE * _x))) #if kercn == 4 #define SRC4(_x,_y) convert_float4(vload4(0, srcData + mad24(_y, src_step, PIXSIZE * _x))) #endif #ifdef INTEL_DEVICE #define MAD(x,y,z) fma((x),(y),(z)) #else #define MAD(x,y,z) mad((x),(y),(z)) #endif #define LOAD_LOCAL(col_gl, col_lcl) \ sum0 = co3* SRC(col_gl, EXTRAPOLATE_(src_y - 2, src_rows)); \ sum0 = MAD(co2, SRC(col_gl, EXTRAPOLATE_(src_y - 1, src_rows)), sum0); \ temp = SRC(col_gl, EXTRAPOLATE_(src_y, src_rows)); \ sum0 = MAD(co1, temp, sum0); \ sum1 = co3 * temp; \ temp = SRC(col_gl, EXTRAPOLATE_(src_y + 1, src_rows)); \ sum0 = MAD(co2, temp, sum0); \ sum1 = MAD(co2, temp, sum1); \ temp = SRC(col_gl, EXTRAPOLATE_(src_y + 2, src_rows)); \ sum0 = MAD(co3, temp, sum0); \ sum1 = MAD(co1, temp, sum1); \ smem[0][col_lcl] = sum0; \ sum1 = MAD(co2, SRC(col_gl, EXTRAPOLATE_(src_y + 3, src_rows)), sum1); \ sum1 = MAD(co3, SRC(col_gl, EXTRAPOLATE_(src_y + 4, src_rows)), sum1); \ smem[1][col_lcl] = sum1; #if kercn == 4 #define LOAD_LOCAL4(col_gl, col_lcl) \ sum40 = co3* SRC4(col_gl, EXTRAPOLATE_(src_y - 2, src_rows)); \ sum40 = MAD(co2, SRC4(col_gl, EXTRAPOLATE_(src_y - 1, src_rows)), sum40); \ temp4 = SRC4(col_gl, EXTRAPOLATE_(src_y, src_rows)); \ sum40 = MAD(co1, temp4, sum40); \ sum41 = co3 * temp4; \ temp4 = SRC4(col_gl, EXTRAPOLATE_(src_y + 1, src_rows)); \ sum40 = MAD(co2, temp4, sum40); \ sum41 = MAD(co2, temp4, sum41); \ temp4 = SRC4(col_gl, EXTRAPOLATE_(src_y + 2, src_rows)); \ sum40 = MAD(co3, temp4, sum40); \ sum41 = MAD(co1, temp4, sum41); \ vstore4(sum40, col_lcl, (__local float*) &smem[0][2]); \ sum41 = MAD(co2, SRC4(col_gl, EXTRAPOLATE_(src_y + 3, src_rows)), sum41); \ sum41 = MAD(co3, SRC4(col_gl, EXTRAPOLATE_(src_y + 4, src_rows)), sum41); \ vstore4(sum41, col_lcl, (__local float*) &smem[1][2]); #endif #define noconvert __kernel void pyrDown(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { const int x = get_global_id(0)*kercn; const int y = 2*get_global_id(1); __local FT smem[2][LOCAL_SIZE + 4]; __global uchar * dstData = dst + dst_offset; __global const uchar * srcData = src + src_offset; FT sum0, sum1, temp; FT co1 = 0.375f; FT co2 = 0.25f; FT co3 = 0.0625f; const int src_y = 2*y; int col; if (src_y >= 2 && src_y < src_rows - 4) { #undef EXTRAPOLATE_ #define EXTRAPOLATE_(val, maxVal) val #if kercn == 1 col = EXTRAPOLATE(x, src_cols); LOAD_LOCAL(col, 2 + get_local_id(0)) #else if (x < src_cols-4) { float4 sum40, sum41, temp4; LOAD_LOCAL4(x, get_local_id(0)) } else { for (int i=0; i<4; i++) { col = EXTRAPOLATE(x+i, src_cols); LOAD_LOCAL(col, 2 + 4 * get_local_id(0) + i) } } #endif if (get_local_id(0) < 2) { col = EXTRAPOLATE((int)(get_group_id(0)*LOCAL_SIZE + get_local_id(0) - 2), src_cols); LOAD_LOCAL(col, get_local_id(0)) } else if (get_local_id(0) < 4) { col = EXTRAPOLATE((int)((get_group_id(0)+1)*LOCAL_SIZE + get_local_id(0) - 2), src_cols); LOAD_LOCAL(col, LOCAL_SIZE + get_local_id(0)) } } else { #undef EXTRAPOLATE_ #define EXTRAPOLATE_(val, maxVal) EXTRAPOLATE(val, maxVal) #if kercn == 1 col = EXTRAPOLATE(x, src_cols); LOAD_LOCAL(col, 2 + get_local_id(0)) #else if (x < src_cols-4) { float4 sum40, sum41, temp4; LOAD_LOCAL4(x, get_local_id(0)) } else { for (int i=0; i<4; i++) { col = EXTRAPOLATE(x+i, src_cols); LOAD_LOCAL(col, 2 + 4*get_local_id(0) + i) } } #endif if (get_local_id(0) < 2) { col = EXTRAPOLATE((int)(get_group_id(0)*LOCAL_SIZE + get_local_id(0) - 2), src_cols); LOAD_LOCAL(col, get_local_id(0)) } else if (get_local_id(0) < 4) { col = EXTRAPOLATE((int)((get_group_id(0)+1)*LOCAL_SIZE + get_local_id(0) - 2), src_cols); LOAD_LOCAL(col, LOCAL_SIZE + get_local_id(0)) } } barrier(CLK_LOCAL_MEM_FENCE); #if kercn == 1 if (get_local_id(0) < LOCAL_SIZE / 2) { const int tid2 = get_local_id(0) * 2; const int dst_x = (get_group_id(0) * get_local_size(0) + tid2) / 2; if (dst_x < dst_cols) { for (int yin = y, y1 = min(dst_rows, y + 2); yin < y1; yin++) { #if cn == 1 #if fdepth <= 5 FT sum = dot(vload4(0, (__local float*) (&smem) + tid2 + (yin - y) * (LOCAL_SIZE + 4)), (float4)(co3, co2, co1, co2)); #else FT sum = dot(vload4(0, (__local double*) (&smem) + tid2 + (yin - y) * (LOCAL_SIZE + 4)), (double4)(co3, co2, co1, co2)); #endif #else FT sum = co3 * smem[yin - y][2 + tid2 - 2]; sum = MAD(co2, smem[yin - y][2 + tid2 - 1], sum); sum = MAD(co1, smem[yin - y][2 + tid2 ], sum); sum = MAD(co2, smem[yin - y][2 + tid2 + 1], sum); #endif sum = MAD(co3, smem[yin - y][2 + tid2 + 2], sum); storepix(convertToT(sum), dstData + yin * dst_step + dst_x * PIXSIZE); } } } #else int tid4 = get_local_id(0) * 4; int dst_x = (get_group_id(0) * LOCAL_SIZE + tid4) / 2; if (dst_x < dst_cols - 1) { for (int yin = y, y1 = min(dst_rows, y + 2); yin < y1; yin++) { FT sum = co3* smem[yin - y][2 + tid4 + 2]; sum = MAD(co3, smem[yin - y][2 + tid4 - 2], sum); sum = MAD(co2, smem[yin - y][2 + tid4 - 1], sum); sum = MAD(co1, smem[yin - y][2 + tid4 ], sum); sum = MAD(co2, smem[yin - y][2 + tid4 + 1], sum); storepix(convertToT(sum), dstData + mad24(yin, dst_step, dst_x * PIXSIZE)); dst_x ++; sum = co3* smem[yin - y][2 + tid4 + 4]; sum = MAD(co3, smem[yin - y][2 + tid4 ], sum); sum = MAD(co2, smem[yin - y][2 + tid4 + 1], sum); sum = MAD(co1, smem[yin - y][2 + tid4 + 2], sum); sum = MAD(co2, smem[yin - y][2 + tid4 + 3], sum); storepix(convertToT(sum), dstData + mad24(yin, dst_step, dst_x * PIXSIZE)); dst_x --; } } else if (dst_x < dst_cols) { for (int yin = y, y1 = min(dst_rows, y + 2); yin < y1; yin++) { FT sum = co3* smem[yin - y][2 + tid4 + 2]; sum = MAD(co3, smem[yin - y][2 + tid4 - 2], sum); sum = MAD(co2, smem[yin - y][2 + tid4 - 1], sum); sum = MAD(co1, smem[yin - y][2 + tid4 ], sum); sum = MAD(co2, smem[yin - y][2 + tid4 + 1], sum); storepix(convertToT(sum), dstData + mad24(yin, dst_step, dst_x * PIXSIZE)); } } #endif } a5f2dccf982eb988b2ed0e11453d00b9pyr_up#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #if cn != 3 #define loadpix(addr) *(__global const T*)(addr) #define storepix(val, addr) *(__global T*)(addr) = (val) #define PIXSIZE ((int)sizeof(T)) #else #define loadpix(addr) vload3(0, (__global const T1*)(addr)) #define storepix(val, addr) vstore3((val), 0, (__global T1*)(addr)) #define PIXSIZE ((int)sizeof(T1)*3) #endif #define EXTRAPOLATE(x, maxV) min(maxV - 1, (int) abs(x)) #define noconvert __kernel void pyrUp(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { const int x = get_global_id(0); const int y = get_global_id(1); const int tidx = get_local_id(0); const int tidy = get_local_id(1); __local FT s_srcPatch[LOCAL_SIZE/2 + 2][LOCAL_SIZE/2 + 2]; __local FT s_dstPatch[LOCAL_SIZE/2 + 2][LOCAL_SIZE]; __global uchar * dstData = dst + dst_offset; __global const uchar * srcData = src + src_offset; if( tidx < (LOCAL_SIZE/2 + 2) && tidy < LOCAL_SIZE/2 + 2 ) { int srcx = EXTRAPOLATE(mad24((int)get_group_id(0), LOCAL_SIZE/2, tidx) - 1, src_cols); int srcy = EXTRAPOLATE(mad24((int)get_group_id(1), LOCAL_SIZE/2, tidy) - 1, src_rows); s_srcPatch[tidy][tidx] = convertToFT(loadpix(srcData + srcy * src_step + srcx * PIXSIZE)); } barrier(CLK_LOCAL_MEM_FENCE); FT sum = 0.f; const FT co1 = 0.75f; const FT co2 = 0.5f; const FT co3 = 0.125f; const FT coef1 = (tidx & 1) == 0 ? co1 : (FT) 0; const FT coef2 = (tidx & 1) == 0 ? co3 : co2; const FT coefy1 = (tidy & 1) == 0 ? co1 : (FT) 0; const FT coefy2 = (tidy & 1) == 0 ? co3 : co2; if(tidy < LOCAL_SIZE/2 + 2) { sum = coef2* s_srcPatch[tidy][1 + ((tidx - 1) >> 1)]; sum = mad(coef1, s_srcPatch[tidy][1 + ((tidx ) >> 1)], sum); sum = mad(coef2, s_srcPatch[tidy][1 + ((tidx + 2) >> 1)], sum); s_dstPatch[tidy][tidx] = sum; } barrier(CLK_LOCAL_MEM_FENCE); sum = coefy2* s_dstPatch[1 + ((tidy - 1) >> 1)][tidx]; sum = mad(coefy1, s_dstPatch[1 + ((tidy ) >> 1)][tidx], sum); sum = mad(coefy2, s_dstPatch[1 + ((tidy + 2) >> 1)][tidx], sum); if ((x < dst_cols) && (y < dst_rows)) storepix(convertToT(sum), dstData + y * dst_step + x * PIXSIZE); } __kernel void pyrUp_unrolled(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { const int lx = 2*get_local_id(0); const int ly = 2*get_local_id(1); __local FT s_srcPatch[LOCAL_SIZE+2][LOCAL_SIZE+2]; __local FT s_dstPatch[LOCAL_SIZE+2][2*LOCAL_SIZE]; __global uchar * dstData = dst + dst_offset; __global const uchar * srcData = src + src_offset; if( lx < (LOCAL_SIZE+2) && ly < (LOCAL_SIZE+2) ) { int srcx = mad24((int)get_group_id(0), LOCAL_SIZE, lx) - 1; int srcy = mad24((int)get_group_id(1), LOCAL_SIZE, ly) - 1; int srcx1 = EXTRAPOLATE(srcx, src_cols); int srcx2 = EXTRAPOLATE(srcx+1, src_cols); int srcy1 = EXTRAPOLATE(srcy, src_rows); int srcy2 = EXTRAPOLATE(srcy+1, src_rows); s_srcPatch[ly][lx] = convertToFT(loadpix(srcData + srcy1 * src_step + srcx1 * PIXSIZE)); s_srcPatch[ly+1][lx] = convertToFT(loadpix(srcData + srcy2 * src_step + srcx1 * PIXSIZE)); s_srcPatch[ly][lx+1] = convertToFT(loadpix(srcData + srcy1 * src_step + srcx2 * PIXSIZE)); s_srcPatch[ly+1][lx+1] = convertToFT(loadpix(srcData + srcy2 * src_step + srcx2 * PIXSIZE)); } barrier(CLK_LOCAL_MEM_FENCE); FT sum; const FT co1 = 0.75f; const FT co2 = 0.5f; const FT co3 = 0.125f; sum = co3 * s_srcPatch[1 + (ly >> 1)][1 + ((lx - 2) >> 1)]; sum = mad(co1, s_srcPatch[1 + (ly >> 1)][1 + ((lx ) >> 1)], sum); sum = mad(co3, s_srcPatch[1 + (ly >> 1)][1 + ((lx + 2) >> 1)], sum); s_dstPatch[1 + get_local_id(1)][lx] = sum; sum = co2 * s_srcPatch[1 + (ly >> 1)][1 + ((lx + 1 - 1) >> 1)]; sum = mad(co2, s_srcPatch[1 + (ly >> 1)][1 + ((lx + 1 + 1) >> 1)], sum); s_dstPatch[1 + get_local_id(1)][lx+1] = sum; if (ly < 1) { sum = co3 * s_srcPatch[0][1 + ((lx - 2) >> 1)]; sum = mad(co1, s_srcPatch[0][1 + ((lx ) >> 1)], sum); sum = mad(co3, s_srcPatch[0][1 + ((lx + 2) >> 1)], sum); s_dstPatch[0][lx] = sum; sum = co2 * s_srcPatch[0][1 + ((lx + 1 - 1) >> 1)]; sum = mad(co2, s_srcPatch[0][1 + ((lx + 1 + 1) >> 1)], sum); s_dstPatch[0][lx+1] = sum; } if (ly > 2*LOCAL_SIZE-3) { sum = co3 * s_srcPatch[LOCAL_SIZE+1][1 + ((lx - 2) >> 1)]; sum = mad(co1, s_srcPatch[LOCAL_SIZE+1][1 + ((lx ) >> 1)], sum); sum = mad(co3, s_srcPatch[LOCAL_SIZE+1][1 + ((lx + 2) >> 1)], sum); s_dstPatch[LOCAL_SIZE+1][lx] = sum; sum = co2 * s_srcPatch[LOCAL_SIZE+1][1 + ((lx + 1 - 1) >> 1)]; sum = mad(co2, s_srcPatch[LOCAL_SIZE+1][1 + ((lx + 1 + 1) >> 1)], sum); s_dstPatch[LOCAL_SIZE+1][lx+1] = sum; } barrier(CLK_LOCAL_MEM_FENCE); int dst_x = 2*get_global_id(0); int dst_y = 2*get_global_id(1); if ((dst_x < dst_cols) && (dst_y < dst_rows)) { sum = co3 * s_dstPatch[1 + get_local_id(1) - 1][lx]; sum = mad(co1, s_dstPatch[1 + get_local_id(1) ][lx], sum); sum = mad(co3, s_dstPatch[1 + get_local_id(1) + 1][lx], sum); storepix(convertToT(sum), dstData + dst_y * dst_step + dst_x * PIXSIZE); sum = co3 * s_dstPatch[1 + get_local_id(1) - 1][lx+1]; sum = mad(co1, s_dstPatch[1 + get_local_id(1) ][lx+1], sum); sum = mad(co3, s_dstPatch[1 + get_local_id(1) + 1][lx+1], sum); storepix(convertToT(sum), dstData + dst_y * dst_step + (dst_x+1) * PIXSIZE); sum = co2 * s_dstPatch[1 + get_local_id(1) ][lx]; sum = mad(co2, s_dstPatch[1 + get_local_id(1) + 1][lx], sum); storepix(convertToT(sum), dstData + (dst_y+1) * dst_step + dst_x * PIXSIZE); sum = co2 * s_dstPatch[1 + get_local_id(1) ][lx+1]; sum = mad(co2, s_dstPatch[1 + get_local_id(1) + 1][lx+1], sum); storepix(convertToT(sum), dstData + (dst_y+1) * dst_step + (dst_x+1) * PIXSIZE); } } e48abb0036bd5e090ad06600b018eec9pyramid_up__constant float kx[] = { 0.125, 0.5, 0.75, 0.5, 0.125 }; __constant float ky[] = { 0.125, 0.5, 0.75, 0.5, 0.125 }; #define OP(delta, y, x) (convert_float4(arr[(y + delta) * 5 + x]) * ky[y] * kx[x]) __kernel void pyrUp_cols2(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int block_x = get_global_id(0); int y = get_global_id(1) * 2; if ((block_x * 4) >= dst_cols || y >= dst_rows) return; uchar8 line[6]; uchar4 line_out; int offset, src_index; src_index = block_x * 2 + (y / 2 - 1) * src_step - 1 + src_offset; uchar4 tmp; line[0] = line[2] = line[4] = (uchar8)0; line[1] = line[3] = line[5] = (uchar8)0; offset = max(0, src_index + 1 * src_step); tmp = vload4(0, src + offset); if (offset == 0) tmp = (uchar4)(0, tmp.s012); line[2].even = tmp; offset = max(0, src_index + ((y == 0) ? 2 : 0) * src_step); tmp = vload4(0, src + offset); if (offset == 0) tmp = (uchar4)(0, tmp.s012); line[0].even = tmp; if (y == (dst_rows - 2)) line[4] = line[2]; else line[4].even = vload4(0, src + src_index + 2 * src_step); bool row_s = (block_x == 0); bool row_e = ((block_x + 1) * 4 == dst_cols); uchar4 arr[30]; uchar s, e; s = line[0].s4; e = line[0].s3; arr[0] = row_s ? (uchar4)(s, e, line[0].s23) : (uchar4)(line[0].s0123); arr[1] = row_s ? (uchar4)(e, line[0].s234) : (uchar4)(line[0].s1234); arr[2] = (uchar4)(line[0].s2345); arr[3] = row_e ? (uchar4)(line[0].s345, s) : (uchar4)(line[0].s3456); arr[4] = row_e ? (uchar4)(line[0].s45, s, e) : (uchar4)(line[0].s4567); s = line[1].s4; e = line[1].s3; arr[5] = row_s ? (uchar4)(s, e, line[1].s23) : (uchar4)(line[1].s0123); arr[6] = row_s ? (uchar4)(e, line[1].s234) : (uchar4)(line[1].s1234); arr[7] = (uchar4)(line[1].s2345); arr[8] = row_e ? (uchar4)(line[1].s345, s) : (uchar4)(line[1].s3456); arr[9] = row_e ? (uchar4)(line[1].s45, s, e) : (uchar4)(line[1].s4567); s = line[2].s4; e = line[2].s3; arr[10] = row_s ? (uchar4)(s, e, line[2].s23) : (uchar4)(line[2].s0123); arr[11] = row_s ? (uchar4)(e, line[2].s234) : (uchar4)(line[2].s1234); arr[12] = (uchar4)(line[2].s2345); arr[13] = row_e ? (uchar4)(line[2].s345, s) : (uchar4)(line[2].s3456); arr[14] = row_e ? (uchar4)(line[2].s45, s, e) : (uchar4)(line[2].s4567); s = line[3].s4; e = line[3].s3; arr[15] = row_s ? (uchar4)(s, e, line[3].s23) : (uchar4)(line[3].s0123); arr[16] = row_s ? (uchar4)(e, line[3].s234) : (uchar4)(line[3].s1234); arr[17] = (uchar4)(line[3].s2345); arr[18] = row_e ? (uchar4)(line[3].s345, s) : (uchar4)(line[3].s3456); arr[19] = row_e ? (uchar4)(line[3].s45, s, e) : (uchar4)(line[3].s4567); s = line[4].s4; e = line[4].s3; arr[20] = row_s ? (uchar4)(s, e, line[4].s23) : (uchar4)(line[4].s0123); arr[21] = row_s ? (uchar4)(e, line[4].s234) : (uchar4)(line[4].s1234); arr[22] = (uchar4)(line[4].s2345); arr[23] = row_e ? (uchar4)(line[4].s345, s) : (uchar4)(line[4].s3456); arr[24] = row_e ? (uchar4)(line[4].s45, s, e) : (uchar4)(line[4].s4567); s = line[5].s4; e = line[5].s3; arr[25] = row_s ? (uchar4)(s, e, line[5].s23) : (uchar4)(line[5].s0123); arr[26] = row_s ? (uchar4)(e, line[5].s234) : (uchar4)(line[5].s1234); arr[27] = (uchar4)(line[5].s2345); arr[28] = row_e ? (uchar4)(line[5].s345, s) : (uchar4)(line[5].s3456); arr[29] = row_e ? (uchar4)(line[5].s45, s, e) : (uchar4)(line[5].s4567); float4 sum[2]; sum[0] = OP(0, 0, 0) + OP(0, 0, 1) + OP(0, 0, 2) + OP(0, 0, 3) + OP(0, 0, 4) + OP(0, 1, 0) + OP(0, 1, 1) + OP(0, 1, 2) + OP(0, 1, 3) + OP(0, 1, 4) + OP(0, 2, 0) + OP(0, 2, 1) + OP(0, 2, 2) + OP(0, 2, 3) + OP(0, 2, 4) + OP(0, 3, 0) + OP(0, 3, 1) + OP(0, 3, 2) + OP(0, 3, 3) + OP(0, 3, 4) + OP(0, 4, 0) + OP(0, 4, 1) + OP(0, 4, 2) + OP(0, 4, 3) + OP(0, 4, 4); sum[1] = OP(1, 0, 0) + OP(1, 0, 1) + OP(1, 0, 2) + OP(1, 0, 3) + OP(1, 0, 4) + OP(1, 1, 0) + OP(1, 1, 1) + OP(1, 1, 2) + OP(1, 1, 3) + OP(1, 1, 4) + OP(1, 2, 0) + OP(1, 2, 1) + OP(1, 2, 2) + OP(1, 2, 3) + OP(1, 2, 4) + OP(1, 3, 0) + OP(1, 3, 1) + OP(1, 3, 2) + OP(1, 3, 3) + OP(1, 3, 4) + OP(1, 4, 0) + OP(1, 4, 1) + OP(1, 4, 2) + OP(1, 4, 3) + OP(1, 4, 4); int dst_index = block_x * 4 + y * dst_step + dst_offset; vstore4(convert_uchar4_sat_rte(sum[0]), 0, dst + dst_index); vstore4(convert_uchar4_sat_rte(sum[1]), 0, dst + dst_index + dst_step); } 46bae9fe0213f767045e3c63f9ffc6a0#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define noconvert #if cn != 3 #define loadpix(addr) *(__global const T*)(addr) #define storepix(val, addr) *(__global T*)(addr) = val #define TSIZE ((int)sizeof(T)) #define convertScalar(a) (a) #else #define loadpix(addr) vload3(0, (__global const T1*)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global T1*)(addr)) #define TSIZE ((int)sizeof(T1)*3) #define convertScalar(a) (T)(a.x, a.y, a.z) #endif enum { INTER_BITS = 5, INTER_TAB_SIZE = 1 << INTER_BITS, INTER_TAB_SIZE2 = INTER_TAB_SIZE * INTER_TAB_SIZE }; #ifdef INTER_NEAREST #define convertToWT #endif #ifdef BORDER_CONSTANT #define EXTRAPOLATE(v2, v) v = scalar; #elif defined BORDER_REPLICATE #define EXTRAPOLATE(v2, v) \ { \ v2 = max(min(v2, (int2)(src_cols - 1, src_rows - 1)), (int2)(0)); \ v = convertToWT(loadpix((__global const T*)(srcptr + mad24(v2.y, src_step, v2.x * TSIZE + src_offset)))); \ } #elif defined BORDER_WRAP #define EXTRAPOLATE(v2, v) \ { \ if (v2.x < 0) \ v2.x -= ((v2.x - src_cols + 1) / src_cols) * src_cols; \ if (v2.x >= src_cols) \ v2.x %= src_cols; \ \ if (v2.y < 0) \ v2.y -= ((v2.y - src_rows + 1) / src_rows) * src_rows; \ if( v2.y >= src_rows ) \ v2.y %= src_rows; \ v = convertToWT(loadpix((__global const T*)(srcptr + mad24(v2.y, src_step, v2.x * TSIZE + src_offset)))); \ } #elif defined(BORDER_REFLECT) || defined(BORDER_REFLECT_101) #ifdef BORDER_REFLECT #define DELTA int delta = 0 #else #define DELTA int delta = 1 #endif #define EXTRAPOLATE(v2, v) \ { \ DELTA; \ if (src_cols == 1) \ v2.x = 0; \ else \ do \ { \ if( v2.x < 0 ) \ v2.x = -v2.x - 1 + delta; \ else \ v2.x = src_cols - 1 - (v2.x - src_cols) - delta; \ } \ while (v2.x >= src_cols || v2.x < 0); \ \ if (src_rows == 1) \ v2.y = 0; \ else \ do \ { \ if( v2.y < 0 ) \ v2.y = -v2.y - 1 + delta; \ else \ v2.y = src_rows - 1 - (v2.y - src_rows) - delta; \ } \ while (v2.y >= src_rows || v2.y < 0); \ v = convertToWT(loadpix((__global const T*)(srcptr + mad24(v2.y, src_step, v2.x * TSIZE + src_offset)))); \ } #else #error No extrapolation method #endif #define NEED_EXTRAPOLATION(gx, gy) (gx >= src_cols || gy >= src_rows || gx < 0 || gy < 0) #ifdef INTER_NEAREST __kernel void remap_2_32FC1(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global const uchar * map1ptr, int map1_step, int map1_offset, __global const uchar * map2ptr, int map2_step, int map2_offset, ST nVal) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < dst_cols) { T scalar = convertScalar(nVal); int map1_index = mad24(y, map1_step, mad24(x, (int)sizeof(float), map1_offset)); int map2_index = mad24(y, map2_step, mad24(x, (int)sizeof(float), map2_offset)); int dst_index = mad24(y, dst_step, mad24(x, TSIZE, dst_offset)); #pragma unroll for (int i = 0; i < rowsPerWI; ++i, ++y, map1_index += map1_step, map2_index += map2_step, dst_index += dst_step) if (y < dst_rows) { __global const float * map1 = (__global const float *)(map1ptr + map1_index); __global const float * map2 = (__global const float *)(map2ptr + map2_index); __global T * dst = (__global T *)(dstptr + dst_index); int gx = convert_int_sat_rte(map1[0]); int gy = convert_int_sat_rte(map2[0]); if (NEED_EXTRAPOLATION(gx, gy)) { #ifndef BORDER_CONSTANT int2 gxy = (int2)(gx, gy); #endif T v; EXTRAPOLATE(gxy, v) storepix(v, dst); } else { int src_index = mad24(gy, src_step, mad24(gx, TSIZE, src_offset)); storepix(loadpix((__global const T*)(srcptr + src_index)), dst); } } } } __kernel void remap_32FC2(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global const uchar * mapptr, int map_step, int map_offset, ST nVal) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < dst_cols) { T scalar = convertScalar(nVal); int dst_index = mad24(y, dst_step, mad24(x, TSIZE, dst_offset)); int map_index = mad24(y, map_step, mad24(x, (int)sizeof(float2), map_offset)); #pragma unroll for (int i = 0; i < rowsPerWI; ++i, ++y, map_index += map_step, dst_index += dst_step) if (y < dst_rows) { __global const float2 * map = (__global const float2 *)(mapptr + map_index); __global T * dst = (__global T *)(dstptr + dst_index); int2 gxy = convert_int2_sat_rte(map[0]); int gx = gxy.x, gy = gxy.y; if (NEED_EXTRAPOLATION(gx, gy)) { T v; EXTRAPOLATE(gxy, v) storepix(v, dst); } else { int src_index = mad24(gy, src_step, mad24(gx, TSIZE, src_offset)); storepix(loadpix((__global const T *)(srcptr + src_index)), dst); } } } } __kernel void remap_16SC2(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global const uchar * mapptr, int map_step, int map_offset, ST nVal) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < dst_cols) { T scalar = convertScalar(nVal); int dst_index = mad24(y, dst_step, mad24(x, TSIZE, dst_offset)); int map_index = mad24(y, map_step, mad24(x, (int)sizeof(short2), map_offset)); #pragma unroll for (int i = 0; i < rowsPerWI; ++i, ++y, map_index += map_step, dst_index += dst_step) if (y < dst_rows) { __global const short2 * map = (__global const short2 *)(mapptr + map_index); __global T * dst = (__global T *)(dstptr + dst_index); int2 gxy = convert_int2(map[0]); int gx = gxy.x, gy = gxy.y; if (NEED_EXTRAPOLATION(gx, gy)) { T v; EXTRAPOLATE(gxy, v) storepix(v, dst); } else { int src_index = mad24(gy, src_step, mad24(gx, TSIZE, src_offset)); storepix(loadpix((__global const T *)(srcptr + src_index)), dst); } } } } __kernel void remap_16SC2_16UC1(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global const uchar * map1ptr, int map1_step, int map1_offset, __global const uchar * map2ptr, int map2_step, int map2_offset, ST nVal) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < dst_cols) { T scalar = convertScalar(nVal); int dst_index = mad24(y, dst_step, mad24(x, TSIZE, dst_offset)); int map1_index = mad24(y, map1_step, mad24(x, (int)sizeof(short2), map1_offset)); int map2_index = mad24(y, map2_step, mad24(x, (int)sizeof(ushort), map2_offset)); #pragma unroll for (int i = 0; i < rowsPerWI; ++i, ++y, map1_index += map1_step, map2_index += map2_step, dst_index += dst_step) if (y < dst_rows) { __global const short2 * map1 = (__global const short2 *)(map1ptr + map1_index); __global const ushort * map2 = (__global const ushort *)(map2ptr + map2_index); __global T * dst = (__global T *)(dstptr + dst_index); int map2Value = convert_int(map2[0]) & (INTER_TAB_SIZE2 - 1); int dx = (map2Value & (INTER_TAB_SIZE - 1)) < (INTER_TAB_SIZE >> 1) ? 1 : 0; int dy = (map2Value >> INTER_BITS) < (INTER_TAB_SIZE >> 1) ? 1 : 0; int2 gxy = convert_int2(map1[0]) + (int2)(dx, dy); int gx = gxy.x, gy = gxy.y; if (NEED_EXTRAPOLATION(gx, gy)) { T v; EXTRAPOLATE(gxy, v) storepix(v, dst); } else { int src_index = mad24(gy, src_step, mad24(gx, TSIZE, src_offset)); storepix(loadpix((__global const T *)(srcptr + src_index)), dst); } } } } #elif defined INTER_LINEAR __constant float coeffs[64] = { 1.000000f, 0.000000f, 0.968750f, 0.031250f, 0.937500f, 0.062500f, 0.906250f, 0.093750f, 0.875000f, 0.125000f, 0.843750f, 0.156250f, 0.812500f, 0.187500f, 0.781250f, 0.218750f, 0.750000f, 0.250000f, 0.718750f, 0.281250f, 0.687500f, 0.312500f, 0.656250f, 0.343750f, 0.625000f, 0.375000f, 0.593750f, 0.406250f, 0.562500f, 0.437500f, 0.531250f, 0.468750f, 0.500000f, 0.500000f, 0.468750f, 0.531250f, 0.437500f, 0.562500f, 0.406250f, 0.593750f, 0.375000f, 0.625000f, 0.343750f, 0.656250f, 0.312500f, 0.687500f, 0.281250f, 0.718750f, 0.250000f, 0.750000f, 0.218750f, 0.781250f, 0.187500f, 0.812500f, 0.156250f, 0.843750f, 0.125000f, 0.875000f, 0.093750f, 0.906250f, 0.062500f, 0.937500f, 0.031250f, 0.968750f }; __kernel void remap_16SC2_16UC1(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global const uchar * map1ptr, int map1_step, int map1_offset, __global const uchar * map2ptr, int map2_step, int map2_offset, ST nVal) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < dst_cols) { WT scalar = convertToWT(convertScalar(nVal)); int dst_index = mad24(y, dst_step, mad24(x, TSIZE, dst_offset)); int map1_index = mad24(y, map1_step, mad24(x, (int)sizeof(short2), map1_offset)); int map2_index = mad24(y, map2_step, mad24(x, (int)sizeof(ushort), map2_offset)); #pragma unroll for (int i = 0; i < rowsPerWI; ++i, ++y, map1_index += map1_step, map2_index += map2_step, dst_index += dst_step) if (y < dst_rows) { __global const short2 * map1 = (__global const short2 *)(map1ptr + map1_index); __global const ushort * map2 = (__global const ushort *)(map2ptr + map2_index); __global T * dst = (__global T *)(dstptr + dst_index); int2 map_dataA = convert_int2(map1[0]); int2 map_dataB = (int2)(map_dataA.x + 1, map_dataA.y); int2 map_dataC = (int2)(map_dataA.x, map_dataA.y + 1); int2 map_dataD = (int2)(map_dataA.x + 1, map_dataA.y + 1); ushort map2Value = (ushort)(map2[0] & (INTER_TAB_SIZE2 - 1)); WT2 u = (WT2)(map2Value & (INTER_TAB_SIZE - 1), map2Value >> INTER_BITS) / (WT2)(INTER_TAB_SIZE); WT a = scalar, b = scalar, c = scalar, d = scalar; if (!NEED_EXTRAPOLATION(map_dataA.x, map_dataA.y)) a = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataA.y, src_step, map_dataA.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataA, a); if (!NEED_EXTRAPOLATION(map_dataB.x, map_dataB.y)) b = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataB.y, src_step, map_dataB.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataB, b); if (!NEED_EXTRAPOLATION(map_dataC.x, map_dataC.y)) c = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataC.y, src_step, map_dataC.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataC, c); if (!NEED_EXTRAPOLATION(map_dataD.x, map_dataD.y)) d = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataD.y, src_step, map_dataD.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataD, d); WT dst_data = a * (1 - u.x) * (1 - u.y) + b * (u.x) * (1 - u.y) + c * (1 - u.x) * (u.y) + d * (u.x) * (u.y); storepix(convertToT(dst_data), dst); } } } __kernel void remap_2_32FC1(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global const uchar * map1ptr, int map1_step, int map1_offset, __global const uchar * map2ptr, int map2_step, int map2_offset, ST nVal) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < dst_cols) { WT scalar = convertToWT(convertScalar(nVal)); int dst_index = mad24(y, dst_step, mad24(x, TSIZE, dst_offset)); int map1_index = mad24(y, map1_step, mad24(x, (int)sizeof(float), map1_offset)); int map2_index = mad24(y, map2_step, mad24(x, (int)sizeof(float), map2_offset)); #pragma unroll for (int i = 0; i < rowsPerWI; ++i, ++y, map1_index += map1_step, map2_index += map2_step, dst_index += dst_step) if (y < dst_rows) { __global const float * map1 = (__global const float *)(map1ptr + map1_index); __global const float * map2 = (__global const float *)(map2ptr + map2_index); __global T * dst = (__global T *)(dstptr + dst_index); #if defined BORDER_CONSTANT float xf = map1[0], yf = map2[0]; int sx = convert_int_sat_rtz(mad(xf, (float)INTER_TAB_SIZE, 0.5f)) >> INTER_BITS; int sy = convert_int_sat_rtz(mad(yf, (float)INTER_TAB_SIZE, 0.5f)) >> INTER_BITS; __constant float * coeffs_x = coeffs + ((convert_int_rte(xf * INTER_TAB_SIZE) & (INTER_TAB_SIZE - 1)) << 1); __constant float * coeffs_y = coeffs + ((convert_int_rte(yf * INTER_TAB_SIZE) & (INTER_TAB_SIZE - 1)) << 1); WT sum = (WT)(0), xsum; int src_index = mad24(sy, src_step, mad24(sx, TSIZE, src_offset)); #pragma unroll for (int yp = 0; yp < 2; ++yp, src_index += src_step) { if (sy + yp >= 0 && sy + yp < src_rows) { xsum = (WT)(0); if (sx >= 0 && sx + 2 < src_cols) { #if depth == 0 && cn == 1 uchar2 value = vload2(0, srcptr + src_index); xsum = dot(convert_float2(value), (float2)(coeffs_x[0], coeffs_x[1])); #else #pragma unroll for (int xp = 0; xp < 2; ++xp) xsum = fma(convertToWT(loadpix(srcptr + mad24(xp, TSIZE, src_index))), coeffs_x[xp], xsum); #endif } else { #pragma unroll for (int xp = 0; xp < 2; ++xp) xsum = fma(sx + xp >= 0 && sx + xp < src_cols ? convertToWT(loadpix(srcptr + mad24(xp, TSIZE, src_index))) : scalar, coeffs_x[xp], xsum); } sum = fma(xsum, coeffs_y[yp], sum); } else sum = fma(scalar, coeffs_y[yp], sum); } storepix(convertToT(sum), dst); #else float2 map_data = (float2)(map1[0], map2[0]); int2 map_dataA = convert_int2_sat_rtn(map_data); int2 map_dataB = (int2)(map_dataA.x + 1, map_dataA.y); int2 map_dataC = (int2)(map_dataA.x, map_dataA.y + 1); int2 map_dataD = (int2)(map_dataA.x + 1, map_dataA.y + 1); float2 _u = map_data - convert_float2(map_dataA); WT2 u = convertToWT2(convert_int2_rte(convertToWT2(_u) * (WT2)INTER_TAB_SIZE)) / (WT2)INTER_TAB_SIZE; WT scalar = convertToWT(convertScalar(nVal)); WT a = scalar, b = scalar, c = scalar, d = scalar; if (!NEED_EXTRAPOLATION(map_dataA.x, map_dataA.y)) a = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataA.y, src_step, map_dataA.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataA, a); if (!NEED_EXTRAPOLATION(map_dataB.x, map_dataB.y)) b = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataB.y, src_step, map_dataB.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataB, b); if (!NEED_EXTRAPOLATION(map_dataC.x, map_dataC.y)) c = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataC.y, src_step, map_dataC.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataC, c); if (!NEED_EXTRAPOLATION(map_dataD.x, map_dataD.y)) d = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataD.y, src_step, map_dataD.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataD, d); WT dst_data = a * (1 - u.x) * (1 - u.y) + b * (u.x) * (1 - u.y) + c * (1 - u.x) * (u.y) + d * (u.x) * (u.y); storepix(convertToT(dst_data), dst); #endif } } } __kernel void remap_32FC2(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global const uchar * mapptr, int map_step, int map_offset, ST nVal) { int x = get_global_id(0); int y = get_global_id(1) * rowsPerWI; if (x < dst_cols) { WT scalar = convertToWT(convertScalar(nVal)); int dst_index = mad24(y, dst_step, mad24(x, TSIZE, dst_offset)); int map_index = mad24(y, map_step, mad24(x, (int)sizeof(float2), map_offset)); #pragma unroll for (int i = 0; i < rowsPerWI; ++i, ++y, map_index += map_step, dst_index += dst_step) if (y < dst_rows) { __global const float2 * map = (__global const float2 *)(mapptr + map_index); __global T * dst = (__global T *)(dstptr + dst_index); float2 map_data = map[0]; int2 map_dataA = convert_int2_sat_rtn(map_data); int2 map_dataB = (int2)(map_dataA.x + 1, map_dataA.y); int2 map_dataC = (int2)(map_dataA.x, map_dataA.y + 1); int2 map_dataD = (int2)(map_dataA.x + 1, map_dataA.y + 1); float2 _u = map_data - convert_float2(map_dataA); WT2 u = convertToWT2(convert_int2_rte(convertToWT2(_u) * (WT2)INTER_TAB_SIZE)) / (WT2)INTER_TAB_SIZE; WT a = scalar, b = scalar, c = scalar, d = scalar; if (!NEED_EXTRAPOLATION(map_dataA.x, map_dataA.y)) a = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataA.y, src_step, map_dataA.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataA, a); if (!NEED_EXTRAPOLATION(map_dataB.x, map_dataB.y)) b = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataB.y, src_step, map_dataB.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataB, b); if (!NEED_EXTRAPOLATION(map_dataC.x, map_dataC.y)) c = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataC.y, src_step, map_dataC.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataC, c); if (!NEED_EXTRAPOLATION(map_dataD.x, map_dataD.y)) d = convertToWT(loadpix((__global const T *)(srcptr + mad24(map_dataD.y, src_step, map_dataD.x * TSIZE + src_offset)))); else EXTRAPOLATE(map_dataD, d); WT dst_data = a * (1 - u.x) * (1 - u.y) + b * (u.x) * (1 - u.y) + c * (1 - u.x) * (u.y) + d * (u.x) * (u.y); storepix(convertToT(dst_data), dst); } } } #endif d71b990c30eb48e9063ba2446a0278c6#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define INC(x,l) min(x+1,l-1) #define noconvert #if cn != 3 #define loadpix(addr) *(__global const T *)(addr) #define storepix(val, addr) *(__global T *)(addr) = val #define TSIZE (int)sizeof(T) #else #define loadpix(addr) vload3(0, (__global const T1 *)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global T1 *)(addr)) #define TSIZE (int)sizeof(T1)*cn #endif #if defined USE_SAMPLER #if cn == 1 #define READ_IMAGE(X,Y,Z) read_imagef(X,Y,Z).x #define INTERMEDIATE_TYPE float #elif cn == 2 #define READ_IMAGE(X,Y,Z) read_imagef(X,Y,Z).xy #define INTERMEDIATE_TYPE float2 #elif cn == 3 #define READ_IMAGE(X,Y,Z) read_imagef(X,Y,Z).xyz #define INTERMEDIATE_TYPE float3 #elif cn == 4 #define READ_IMAGE(X,Y,Z) read_imagef(X,Y,Z) #define INTERMEDIATE_TYPE float4 #endif #define __CAT(x, y) x##y #define CAT(x, y) __CAT(x, y) #define float1 float #if depth == 0 #define RESULT_SCALE 255.0f #elif depth == 1 #define RESULT_SCALE 127.0f #elif depth == 2 #define RESULT_SCALE 65535.0f #elif depth == 3 #define RESULT_SCALE 32767.0f #else #define RESULT_SCALE 1.0f #endif __kernel void resizeSampler(__read_only image2d_t srcImage, __global uchar* dstptr, int dststep, int dstoffset, int dstrows, int dstcols, float ifx, float ify) { const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_LINEAR; int dx = get_global_id(0); int dy = get_global_id(1); float sx = ((dx+0.5f) * ifx), sy = ((dy+0.5f) * ify); INTERMEDIATE_TYPE intermediate = READ_IMAGE(srcImage, sampler, (float2)(sx, sy)); #if depth <= 4 T uval = convertToDT(round(intermediate * RESULT_SCALE)); #else T uval = convertToDT(intermediate * RESULT_SCALE); #endif if(dx < dstcols && dy < dstrows) { storepix(uval, dstptr + mad24(dy, dststep, dstoffset + dx*TSIZE)); } } #elif defined INTER_LINEAR_INTEGER __kernel void resizeLN(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __global const uchar * buffer) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { __global const int * xofs = (__global const int *)(buffer), * yofs = xofs + dst_cols; __global const short * ialpha = (__global const short *)(yofs + dst_rows); __global const short * ibeta = ialpha + ((dst_cols + dy) << 1); ialpha += dx << 1; int sx0 = xofs[dx], sy0 = clamp(yofs[dy], 0, src_rows - 1), sy1 = clamp(yofs[dy] + 1, 0, src_rows - 1); short a0 = ialpha[0], a1 = ialpha[1]; short b0 = ibeta[0], b1 = ibeta[1]; int src_index0 = mad24(sy0, src_step, mad24(sx0, TSIZE, src_offset)), src_index1 = mad24(sy1, src_step, mad24(sx0, TSIZE, src_offset)); WT data0 = convertToWT(loadpix(srcptr + src_index0)); WT data1 = convertToWT(loadpix(srcptr + src_index0 + TSIZE)); WT data2 = convertToWT(loadpix(srcptr + src_index1)); WT data3 = convertToWT(loadpix(srcptr + src_index1 + TSIZE)); WT val = ( (((data0 * a0 + data1 * a1) >> 4) * b0) >> 16) + ( (((data2 * a0 + data3 * a1) >> 4) * b1) >> 16); storepix(convertToDT((val + 2) >> 2), dstptr + mad24(dy, dst_step, mad24(dx, TSIZE, dst_offset))); } } #elif defined INTER_LINEAR __kernel void resizeLN(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, float ifx, float ify) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { float sx = ((dx+0.5f) * ifx - 0.5f), sy = ((dy+0.5f) * ify - 0.5f); int x = floor(sx), y = floor(sy); float u = sx - x, v = sy - y; if ( x<0 ) x=0,u=0; if ( x>=src_cols ) x=src_cols-1,u=0; if ( y<0 ) y=0,v=0; if ( y>=src_rows ) y=src_rows-1,v=0; int y_ = INC(y, src_rows); int x_ = INC(x, src_cols); #if depth <= 1 #define INTER_RESIZE_COEF_SCALE (1 << INTER_RESIZE_COEF_BITS) #define CAST_BITS (INTER_RESIZE_COEF_BITS << 1) u = u * INTER_RESIZE_COEF_SCALE; v = v * INTER_RESIZE_COEF_SCALE; int U = rint(u); int V = rint(v); int U1 = rint(INTER_RESIZE_COEF_SCALE - u); int V1 = rint(INTER_RESIZE_COEF_SCALE - v); WT data0 = convertToWT(loadpix(srcptr + mad24(y, src_step, mad24(x, TSIZE, src_offset)))); WT data1 = convertToWT(loadpix(srcptr + mad24(y, src_step, mad24(x_, TSIZE, src_offset)))); WT data2 = convertToWT(loadpix(srcptr + mad24(y_, src_step, mad24(x, TSIZE, src_offset)))); WT data3 = convertToWT(loadpix(srcptr + mad24(y_, src_step, mad24(x_, TSIZE, src_offset)))); WT val = mul24((WT)mul24(U1, V1), data0) + mul24((WT)mul24(U, V1), data1) + mul24((WT)mul24(U1, V), data2) + mul24((WT)mul24(U, V), data3); T uval = convertToDT((val + (1<<(CAST_BITS-1)))>>CAST_BITS); #else float u1 = 1.f - u; float v1 = 1.f - v; WT data0 = convertToWT(loadpix(srcptr + mad24(y, src_step, mad24(x, TSIZE, src_offset)))); WT data1 = convertToWT(loadpix(srcptr + mad24(y, src_step, mad24(x_, TSIZE, src_offset)))); WT data2 = convertToWT(loadpix(srcptr + mad24(y_, src_step, mad24(x, TSIZE, src_offset)))); WT data3 = convertToWT(loadpix(srcptr + mad24(y_, src_step, mad24(x_, TSIZE, src_offset)))); T uval = convertToDT((u1 * v1) * data0 + (u * v1) * data1 + (u1 * v) * data2 + (u * v) * data3); #endif storepix(uval, dstptr + mad24(dy, dst_step, mad24(dx, TSIZE, dst_offset))); } } #elif defined INTER_NEAREST __kernel void resizeNN(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, float ifx, float ify) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { float s1 = dx * ifx; float s2 = dy * ify; int sx = min(convert_int_rtz(s1), src_cols - 1); int sy = min(convert_int_rtz(s2), src_rows - 1); storepix(loadpix(srcptr + mad24(sy, src_step, mad24(sx, TSIZE, src_offset))), dstptr + mad24(dy, dst_step, mad24(dx, TSIZE, dst_offset))); } } #elif defined INTER_AREA #ifdef INTER_AREA_FAST __kernel void resizeAREA_FAST(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { int dst_index = mad24(dy, dst_step, dst_offset); int sx = XSCALE * dx; int sy = YSCALE * dy; WTV sum = (WTV)(0); #pragma unroll for (int py = 0; py < YSCALE; ++py) { int y = min(sy + py, src_rows - 1); int src_index = mad24(y, src_step, src_offset); #pragma unroll for (int px = 0; px < XSCALE; ++px) { int x = min(sx + px, src_cols - 1); sum += convertToWTV(loadpix(src + src_index + x*TSIZE)); } } storepix(convertToT(convertToWT2V(sum) * (WT2V)(SCALE)), dst + mad24(dx, TSIZE, dst_index)); } } #else __kernel void resizeAREA(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, float ifx, float ify, __global const int * ofs_tab, __global const int * map_tab, __global const float * alpha_tab) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { int dst_index = mad24(dy, dst_step, dst_offset); __global const int * xmap_tab = map_tab; __global const int * ymap_tab = (__global const int *)(map_tab + (src_cols << 1)); __global const float * xalpha_tab = alpha_tab; __global const float * yalpha_tab = (__global const float *)(alpha_tab + (src_cols << 1)); __global const int * xofs_tab = ofs_tab; __global const int * yofs_tab = (__global const int *)(ofs_tab + dst_cols + 1); int xk0 = xofs_tab[dx], xk1 = xofs_tab[dx + 1]; int yk0 = yofs_tab[dy], yk1 = yofs_tab[dy + 1]; int sy0 = ymap_tab[yk0], sy1 = ymap_tab[yk1 - 1]; int sx0 = xmap_tab[xk0], sx1 = xmap_tab[xk1 - 1]; WTV sum = (WTV)(0), buf; int src_index = mad24(sy0, src_step, src_offset); for (int sy = sy0, yk = yk0; sy <= sy1; ++sy, src_index += src_step, ++yk) { WTV beta = (WTV)(yalpha_tab[yk]); buf = (WTV)(0); for (int sx = sx0, xk = xk0; sx <= sx1; ++sx, ++xk) { WTV alpha = (WTV)(xalpha_tab[xk]); buf += convertToWTV(loadpix(src + mad24(sx, TSIZE, src_index))) * alpha; } sum += buf * beta; } storepix(convertToT(sum), dst + mad24(dx, TSIZE, dst_index)); } } #endif #endif bd157fcbb525be4b466f8d6b0b238701sepFilter3x3#define DIG(a) a, __constant float kx[] = { KERNEL_MATRIX_X }; __constant float ky[] = { KERNEL_MATRIX_Y }; #define OP(delta, y, x) (convert_float16(arr[(y + delta) * 3 + x]) * ky[y] * kx[x]) __kernel void sepFilter3x3_8UC1_cols16_rows2(__global const uint* src, int src_step, __global uint* dst, int dst_step, int rows, int cols, float delta) { int block_x = get_global_id(0); int y = get_global_id(1) * 2; int ssx, dsx; if ((block_x * 16) >= cols || y >= rows) return; uint4 line[4]; uint4 line_out[2]; uchar a; uchar16 b; uchar c; uchar d; uchar16 e; uchar f; uchar g; uchar16 h; uchar i; uchar j; uchar16 k; uchar l; ssx = dsx = 1; int src_index = block_x * 4 * ssx + (y - 1) * (src_step / 4); line[1] = vload4(0, src + src_index + (src_step / 4)); line[2] = vload4(0, src + src_index + 2 * (src_step / 4)); #ifdef BORDER_CONSTANT line[0] = (y == 0) ? (uint4)0 : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? (uint4)0 : vload4(0, src + src_index + 3 * (src_step / 4)); #elif defined BORDER_REFLECT_101 line[0] = (y == 0) ? line[2] : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? line[1] : vload4(0, src + src_index + 3 * (src_step / 4)); #elif defined (BORDER_REPLICATE) || defined(BORDER_REFLECT) line[0] = (y == 0) ? line[1] : vload4(0, src + src_index); line[3] = (y == (rows - 2)) ? line[2] : vload4(0, src + src_index + 3 * (src_step / 4)); #endif __global uchar *src_p = (__global uchar *)src; src_index = block_x * 16 * ssx + (y - 1) * src_step; bool line_end = ((block_x + 1) * 16 == cols); b = as_uchar16(line[0]); e = as_uchar16(line[1]); h = as_uchar16(line[2]); k = as_uchar16(line[3]); #ifdef BORDER_CONSTANT a = (block_x == 0 || y == 0) ? 0 : src_p[src_index - 1]; c = (line_end || y == 0) ? 0 : src_p[src_index + 16]; d = (block_x == 0) ? 0 : src_p[src_index + src_step - 1]; f = line_end ? 0 : src_p[src_index + src_step + 16]; g = (block_x == 0) ? 0 : src_p[src_index + 2 * src_step - 1]; i = line_end ? 0 : src_p[src_index + 2 * src_step + 16]; j = (block_x == 0 || y == (rows - 2)) ? 0 : src_p[src_index + 3 * src_step - 1]; l = (line_end || y == (rows - 2))? 0 : src_p[src_index + 3 * src_step + 16]; #elif defined BORDER_REFLECT_101 int offset; offset = (y == 0) ? (2 * src_step) : 0; a = (block_x == 0) ? src_p[src_index + offset + 1] : src_p[src_index + offset - 1]; c = line_end ? src_p[src_index + offset + 14] : src_p[src_index + offset + 16]; d = (block_x == 0) ? src_p[src_index + src_step + 1] : src_p[src_index + src_step - 1]; f = line_end ? src_p[src_index + src_step + 14] : src_p[src_index + src_step + 16]; g = (block_x == 0) ? src_p[src_index + 2 * src_step + 1] : src_p[src_index + 2 * src_step - 1]; i = line_end ? src_p[src_index + 2 * src_step + 14] : src_p[src_index + 2 * src_step + 16]; offset = (y == (rows - 2)) ? (1 * src_step) : (3 * src_step); j = (block_x == 0) ? src_p[src_index + offset + 1] : src_p[src_index + offset - 1]; l = line_end ? src_p[src_index + offset + 14] : src_p[src_index + offset + 16]; #elif defined (BORDER_REPLICATE) || defined(BORDER_REFLECT) int offset; offset = (y == 0) ? (1 * src_step) : 0; a = (block_x == 0) ? src_p[src_index + offset] : src_p[src_index + offset - 1]; c = line_end ? src_p[src_index + offset + 15] : src_p[src_index + offset + 16]; d = (block_x == 0) ? src_p[src_index + src_step] : src_p[src_index + src_step - 1]; f = line_end ? src_p[src_index + src_step + 15] : src_p[src_index + src_step + 16]; g = (block_x == 0) ? src_p[src_index + 2 * src_step] : src_p[src_index + 2 * src_step - 1]; i = line_end ? src_p[src_index + 2 * src_step + 15] : src_p[src_index + 2 * src_step + 16]; offset = (y == (rows - 2)) ? (2 * src_step) : (3 * src_step); j = (block_x == 0) ? src_p[src_index + offset] : src_p[src_index + offset - 1]; l = line_end ? src_p[src_index + offset + 15] : src_p[src_index + offset + 16]; #endif uchar16 arr[12]; float16 sum[2]; arr[0] = (uchar16)(a, b.s0123, b.s456789ab, b.scde); arr[1] = b; arr[2] = (uchar16)(b.s123, b.s4567, b.s89abcdef, c); arr[3] = (uchar16)(d, e.s0123, e.s456789ab, e.scde); arr[4] = e; arr[5] = (uchar16)(e.s123, e.s4567, e.s89abcdef, f); arr[6] = (uchar16)(g, h.s0123, h.s456789ab, h.scde); arr[7] = h; arr[8] = (uchar16)(h.s123, h.s4567, h.s89abcdef, i); arr[9] = (uchar16)(j, k.s0123, k.s456789ab, k.scde); arr[10] = k; arr[11] = (uchar16)(k.s123, k.s4567, k.s89abcdef, l); sum[0] = OP(0, 0, 0) + OP(0, 0, 1) + OP(0, 0, 2) + OP(0, 1, 0) + OP(0, 1, 1) + OP(0, 1, 2) + OP(0, 2, 0) + OP(0, 2, 1) + OP(0, 2, 2); sum[1] = OP(1, 0, 0) + OP(1, 0, 1) + OP(1, 0, 2) + OP(1, 1, 0) + OP(1, 1, 1) + OP(1, 1, 2) + OP(1, 2, 0) + OP(1, 2, 1) + OP(1, 2, 2); line_out[0] = as_uint4(convert_uchar16_sat_rte(sum[0] + delta)); line_out[1] = as_uint4(convert_uchar16_sat_rte(sum[1] + delta)); int dst_index = block_x * 4 * dsx + y * (dst_step / 4); vstore4(line_out[0], 0, dst + dst_index); vstore4(line_out[1], 0, dst + dst_index + (dst_step / 4)); } a8fb0c872c2ccd041ab86148ae012c62#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif __kernel void threshold(__global const uchar * srcptr, int src_step, int src_offset, __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols, T1 thresh, T1 max_val, T1 min_val) { int gx = get_global_id(0); int gy = get_global_id(1) * STRIDE_SIZE; if (gx < cols) { int src_index = mad24(gy, src_step, mad24(gx, (int)sizeof(T), src_offset)); int dst_index = mad24(gy, dst_step, mad24(gx, (int)sizeof(T), dst_offset)); #pragma unroll for (int i = 0; i < STRIDE_SIZE; i++) { if (gy < rows) { T sdata = *(__global const T *)(srcptr + src_index); __global T * dst = (__global T *)(dstptr + dst_index); #ifdef THRESH_BINARY dst[0] = sdata > (thresh) ? (T)(max_val) : (T)(0); #elif defined THRESH_BINARY_INV dst[0] = sdata > (thresh) ? (T)(0) : (T)(max_val); #elif defined THRESH_TRUNC dst[0] = clamp(sdata, (T)min_val, (T)(thresh)); #elif defined THRESH_TOZERO dst[0] = sdata > (thresh) ? sdata : (T)(0); #elif defined THRESH_TOZERO_INV dst[0] = sdata > (thresh) ? (T)(0) : sdata; #endif gy++; src_index += src_step; dst_index += dst_step; } } } } f464151682565a20de380a62e09ae458warp_affine#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define INTER_BITS 5 #define INTER_TAB_SIZE (1 << INTER_BITS) #define INTER_SCALE 1.f/INTER_TAB_SIZE #define AB_BITS max(10, (int)INTER_BITS) #define AB_SCALE (1 << AB_BITS) #define INTER_REMAP_COEF_BITS 15 #define INTER_REMAP_COEF_SCALE (1 << INTER_REMAP_COEF_BITS) #define ROUND_DELTA (1 << (AB_BITS - INTER_BITS - 1)) #define noconvert #ifndef ST #define ST T #endif #if cn != 3 #define loadpix(addr) *(__global const T*)(addr) #define storepix(val, addr) *(__global T*)(addr) = val #define scalar scalar_ #define pixsize (int)sizeof(T) #else #define loadpix(addr) vload3(0, (__global const T1*)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global T1*)(addr)) #ifdef INTER_NEAREST #define scalar (T)(scalar_.x, scalar_.y, scalar_.z) #else #define scalar (WT)(scalar_.x, scalar_.y, scalar_.z) #endif #define pixsize ((int)sizeof(T1)*3) #endif #ifdef INTER_NEAREST __kernel void warpAffine(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant CT * M, ST scalar_) { int dx = get_global_id(0); int dy0 = get_global_id(1) * rowsPerWI; if (dx < dst_cols) { int round_delta = (AB_SCALE >> 1); int X0_ = rint(M[0] * dx * AB_SCALE); int Y0_ = rint(M[3] * dx * AB_SCALE); int dst_index = mad24(dy0, dst_step, mad24(dx, pixsize, dst_offset)); for (int dy = dy0, dy1 = min(dst_rows, dy0 + rowsPerWI); dy < dy1; ++dy, dst_index += dst_step) { int X0 = X0_ + rint(fma(M[1], (CT)dy, M[2]) * AB_SCALE) + round_delta; int Y0 = Y0_ + rint(fma(M[4], (CT)dy, M[5]) * AB_SCALE) + round_delta; short sx = convert_short_sat(X0 >> AB_BITS); short sy = convert_short_sat(Y0 >> AB_BITS); if (sx >= 0 && sx < src_cols && sy >= 0 && sy < src_rows) { int src_index = mad24(sy, src_step, mad24(sx, pixsize, src_offset)); storepix(loadpix(srcptr + src_index), dstptr + dst_index); } else storepix(scalar, dstptr + dst_index); } } } #elif defined INTER_LINEAR __constant float coeffs[64] = { 1.000000f, 0.000000f, 0.968750f, 0.031250f, 0.937500f, 0.062500f, 0.906250f, 0.093750f, 0.875000f, 0.125000f, 0.843750f, 0.156250f, 0.812500f, 0.187500f, 0.781250f, 0.218750f, 0.750000f, 0.250000f, 0.718750f, 0.281250f, 0.687500f, 0.312500f, 0.656250f, 0.343750f, 0.625000f, 0.375000f, 0.593750f, 0.406250f, 0.562500f, 0.437500f, 0.531250f, 0.468750f, 0.500000f, 0.500000f, 0.468750f, 0.531250f, 0.437500f, 0.562500f, 0.406250f, 0.593750f, 0.375000f, 0.625000f, 0.343750f, 0.656250f, 0.312500f, 0.687500f, 0.281250f, 0.718750f, 0.250000f, 0.750000f, 0.218750f, 0.781250f, 0.187500f, 0.812500f, 0.156250f, 0.843750f, 0.125000f, 0.875000f, 0.093750f, 0.906250f, 0.062500f, 0.937500f, 0.031250f, 0.968750f }; __kernel void warpAffine(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant CT * M, ST scalar_) { int dx = get_global_id(0); int dy0 = get_global_id(1) * rowsPerWI; if (dx < dst_cols) { int tmp = dx << AB_BITS; int X0_ = rint(M[0] * tmp); int Y0_ = rint(M[3] * tmp); for (int dy = dy0, dy1 = min(dst_rows, dy0 + rowsPerWI); dy < dy1; ++dy) { int X0 = X0_ + rint(fma(M[1], (CT)dy, M[2]) * AB_SCALE) + ROUND_DELTA; int Y0 = Y0_ + rint(fma(M[4], (CT)dy, M[5]) * AB_SCALE) + ROUND_DELTA; X0 = X0 >> (AB_BITS - INTER_BITS); Y0 = Y0 >> (AB_BITS - INTER_BITS); short sx = convert_short_sat(X0 >> INTER_BITS), sy = convert_short_sat(Y0 >> INTER_BITS); short ax = convert_short(X0 & (INTER_TAB_SIZE-1)), ay = convert_short(Y0 & (INTER_TAB_SIZE-1)); #if defined AMD_DEVICE || depth > 4 WT v0 = scalar, v1 = scalar, v2 = scalar, v3 = scalar; if (sx >= 0 && sx < src_cols) { if (sy >= 0 && sy < src_rows) v0 = convertToWT(loadpix(srcptr + mad24(sy, src_step, mad24(sx, pixsize, src_offset)))); if (sy+1 >= 0 && sy+1 < src_rows) v2 = convertToWT(loadpix(srcptr + mad24(sy+1, src_step, mad24(sx, pixsize, src_offset)))); } if (sx+1 >= 0 && sx+1 < src_cols) { if (sy >= 0 && sy < src_rows) v1 = convertToWT(loadpix(srcptr + mad24(sy, src_step, mad24(sx+1, pixsize, src_offset)))); if (sy+1 >= 0 && sy+1 < src_rows) v3 = convertToWT(loadpix(srcptr + mad24(sy+1, src_step, mad24(sx+1, pixsize, src_offset)))); } float taby = 1.f/INTER_TAB_SIZE*ay; float tabx = 1.f/INTER_TAB_SIZE*ax; int dst_index = mad24(dy, dst_step, mad24(dx, pixsize, dst_offset)); #if depth <= 4 int itab0 = convert_short_sat_rte( (1.0f-taby)*(1.0f-tabx) * INTER_REMAP_COEF_SCALE ); int itab1 = convert_short_sat_rte( (1.0f-taby)*tabx * INTER_REMAP_COEF_SCALE ); int itab2 = convert_short_sat_rte( taby*(1.0f-tabx) * INTER_REMAP_COEF_SCALE ); int itab3 = convert_short_sat_rte( taby*tabx * INTER_REMAP_COEF_SCALE ); WT val = mad24(v0, itab0, mad24(v1, itab1, mad24(v2, itab2, v3 * itab3))); storepix(convertToT((val + (1 << (INTER_REMAP_COEF_BITS-1))) >> INTER_REMAP_COEF_BITS), dstptr + dst_index); #else float tabx2 = 1.0f - tabx, taby2 = 1.0f - taby; WT val = fma(tabx2, fma(v0, taby2, v2 * taby), tabx * fma(v1, taby2, v3 * taby)); storepix(convertToT(val), dstptr + dst_index); #endif #else __constant float * coeffs_y = coeffs + (ay << 1), * coeffs_x = coeffs + (ax << 1); int src_index0 = mad24(sy, src_step, mad24(sx, pixsize, src_offset)), src_index; int dst_index = mad24(dy, dst_step, mad24(dx, pixsize, dst_offset)); WT sum = (WT)(0), xsum; #pragma unroll for (int y = 0; y < 2; y++) { src_index = mad24(y, src_step, src_index0); if (sy + y >= 0 && sy + y < src_rows) { xsum = (WT)(0); if (sx >= 0 && sx + 2 < src_cols) { #if depth == 0 && cn == 1 uchar2 value = vload2(0, srcptr + src_index); xsum = dot(convert_float2(value), (float2)(coeffs_x[0], coeffs_x[1])); #else #pragma unroll for (int x = 0; x < 2; x++) xsum = fma(convertToWT(loadpix(srcptr + mad24(x, pixsize, src_index))), coeffs_x[x], xsum); #endif } else { #pragma unroll for (int x = 0; x < 2; x++) xsum = fma(sx + x >= 0 && sx + x < src_cols ? convertToWT(loadpix(srcptr + mad24(x, pixsize, src_index))) : scalar, coeffs_x[x], xsum); } sum = fma(xsum, coeffs_y[y], sum); } else sum = fma(scalar, coeffs_y[y], sum); } storepix(convertToT(sum), dstptr + dst_index); #endif } } } #elif defined INTER_CUBIC #ifdef AMD_DEVICE inline void interpolateCubic( float x, float* coeffs ) { const float A = -0.75f; coeffs[0] = fma(fma(fma(A, (x + 1.f), - 5.0f*A), (x + 1.f), 8.0f*A), x + 1.f, - 4.0f*A); coeffs[1] = fma(fma(A + 2.f, x, - (A + 3.f)), x*x, 1.f); coeffs[2] = fma(fma(A + 2.f, 1.f - x, - (A + 3.f)), (1.f - x)*(1.f - x), 1.f); coeffs[3] = 1.f - coeffs[0] - coeffs[1] - coeffs[2]; } #else __constant float coeffs[128] = { 0.000000f, 1.000000f, 0.000000f, 0.000000f, -0.021996f, 0.997841f, 0.024864f, -0.000710f, -0.041199f, 0.991516f, 0.052429f, -0.002747f, -0.057747f, 0.981255f, 0.082466f, -0.005974f, -0.071777f, 0.967285f, 0.114746f, -0.010254f, -0.083427f, 0.949837f, 0.149040f, -0.015450f, -0.092834f, 0.929138f, 0.185120f, -0.021423f, -0.100136f, 0.905418f, 0.222755f, -0.028038f, -0.105469f, 0.878906f, 0.261719f, -0.035156f, -0.108971f, 0.849831f, 0.301781f, -0.042641f, -0.110779f, 0.818420f, 0.342712f, -0.050354f, -0.111031f, 0.784904f, 0.384285f, -0.058159f, -0.109863f, 0.749512f, 0.426270f, -0.065918f, -0.107414f, 0.712471f, 0.468437f, -0.073494f, -0.103821f, 0.674011f, 0.510559f, -0.080750f, -0.099220f, 0.634361f, 0.552406f, -0.087547f, -0.093750f, 0.593750f, 0.593750f, -0.093750f, -0.087547f, 0.552406f, 0.634361f, -0.099220f, -0.080750f, 0.510559f, 0.674011f, -0.103821f, -0.073494f, 0.468437f, 0.712471f, -0.107414f, -0.065918f, 0.426270f, 0.749512f, -0.109863f, -0.058159f, 0.384285f, 0.784904f, -0.111031f, -0.050354f, 0.342712f, 0.818420f, -0.110779f, -0.042641f, 0.301781f, 0.849831f, -0.108971f, -0.035156f, 0.261719f, 0.878906f, -0.105469f, -0.028038f, 0.222755f, 0.905418f, -0.100136f, -0.021423f, 0.185120f, 0.929138f, -0.092834f, -0.015450f, 0.149040f, 0.949837f, -0.083427f, -0.010254f, 0.114746f, 0.967285f, -0.071777f, -0.005974f, 0.082466f, 0.981255f, -0.057747f, -0.002747f, 0.052429f, 0.991516f, -0.041199f, -0.000710f, 0.024864f, 0.997841f, -0.021996f }; #endif __kernel void warpAffine(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant CT * M, ST scalar_) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { int tmp = (dx << AB_BITS); int X0 = rint(M[0] * tmp) + rint(fma(M[1], (CT)dy, M[2]) * AB_SCALE) + ROUND_DELTA; int Y0 = rint(M[3] * tmp) + rint(fma(M[4], (CT)dy, M[5]) * AB_SCALE) + ROUND_DELTA; X0 = X0 >> (AB_BITS - INTER_BITS); Y0 = Y0 >> (AB_BITS - INTER_BITS); int sx = (short)(X0 >> INTER_BITS) - 1, sy = (short)(Y0 >> INTER_BITS) - 1; int ay = (short)(Y0 & (INTER_TAB_SIZE - 1)), ax = (short)(X0 & (INTER_TAB_SIZE - 1)); #ifdef AMD_DEVICE WT v[16]; #pragma unroll for (int y = 0; y < 4; y++) { if (sy+y >= 0 && sy+y < src_rows) { #pragma unroll for (int x = 0; x < 4; x++) v[mad24(y, 4, x)] = sx+x >= 0 && sx+x < src_cols ? convertToWT(loadpix(srcptr + mad24(sy+y, src_step, mad24(sx+x, pixsize, src_offset)))) : scalar; } else { #pragma unroll for (int x = 0; x < 4; x++) v[mad24(y, 4, x)] = scalar; } } float tab1y[4], tab1x[4]; float ayy = INTER_SCALE * ay; float axx = INTER_SCALE * ax; interpolateCubic(ayy, tab1y); interpolateCubic(axx, tab1x); int dst_index = mad24(dy, dst_step, mad24(dx, pixsize, dst_offset)); WT sum = (WT)(0); #if depth <= 4 int itab[16]; #pragma unroll for (int i = 0; i < 16; i++) itab[i] = rint(tab1y[(i>>2)] * tab1x[(i&3)] * INTER_REMAP_COEF_SCALE); #pragma unroll for (int i = 0; i < 16; i++) sum = mad24(v[i], itab[i], sum); storepix(convertToT( (sum + (1 << (INTER_REMAP_COEF_BITS-1))) >> INTER_REMAP_COEF_BITS ), dstptr + dst_index); #else #pragma unroll for (int i = 0; i < 16; i++) sum = fma(v[i], tab1y[(i>>2)] * tab1x[(i&3)], sum); storepix(convertToT( sum ), dstptr + dst_index); #endif #else __constant float * coeffs_y = coeffs + (ay << 2), * coeffs_x = coeffs + (ax << 2); int src_index0 = mad24(sy, src_step, mad24(sx, pixsize, src_offset)), src_index; int dst_index = mad24(dy, dst_step, mad24(dx, pixsize, dst_offset)); WT sum = (WT)(0), xsum; #pragma unroll for (int y = 0; y < 4; y++) { src_index = mad24(y, src_step, src_index0); if (sy + y >= 0 && sy + y < src_rows) { xsum = (WT)(0); if (sx >= 0 && sx + 4 < src_cols) { #if depth == 0 && cn == 1 uchar4 value = vload4(0, srcptr + src_index); xsum = dot(convert_float4(value), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); #else #pragma unroll for (int x = 0; x < 4; x++) xsum = fma(convertToWT(loadpix(srcptr + mad24(x, pixsize, src_index))), coeffs_x[x], xsum); #endif } else { #pragma unroll for (int x = 0; x < 4; x++) xsum = fma(sx + x >= 0 && sx + x < src_cols ? convertToWT(loadpix(srcptr + mad24(x, pixsize, src_index))) : scalar, coeffs_x[x], xsum); } sum = fma(xsum, coeffs_y[y], sum); } else sum = fma(scalar, coeffs_y[y], sum); } storepix(convertToT(sum), dstptr + dst_index); #endif } } #endif ad75e82949ec363a8853f25adb4b808ewarp_perspective#ifdef DOUBLE_SUPPORT #ifdef cl_amd_fp64 #pragma OPENCL EXTENSION cl_amd_fp64:enable #elif defined (cl_khr_fp64) #pragma OPENCL EXTENSION cl_khr_fp64:enable #endif #endif #define INTER_BITS 5 #define INTER_TAB_SIZE (1 << INTER_BITS) #define INTER_SCALE 1.f / INTER_TAB_SIZE #define AB_BITS max(10, (int)INTER_BITS) #define AB_SCALE (1 << AB_BITS) #define INTER_REMAP_COEF_BITS 15 #define INTER_REMAP_COEF_SCALE (1 << INTER_REMAP_COEF_BITS) #define noconvert #ifndef ST #define ST T #endif #if cn != 3 #define loadpix(addr) *(__global const T*)(addr) #define storepix(val, addr) *(__global T*)(addr) = val #define scalar scalar_ #define pixsize (int)sizeof(T) #else #define loadpix(addr) vload3(0, (__global const T1*)(addr)) #define storepix(val, addr) vstore3(val, 0, (__global T1*)(addr)) #ifdef INTER_NEAREST #define scalar (T)(scalar_.x, scalar_.y, scalar_.z) #else #define scalar (WT)(scalar_.x, scalar_.y, scalar_.z) #endif #define pixsize ((int)sizeof(T1)*3) #endif #ifdef INTER_NEAREST __kernel void warpPerspective(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant CT * M, ST scalar_) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { CT X0 = M[0] * dx + M[1] * dy + M[2]; CT Y0 = M[3] * dx + M[4] * dy + M[5]; CT W = M[6] * dx + M[7] * dy + M[8]; W = W != 0.0f ? 1.f / W : 0.0f; short sx = convert_short_sat_rte(X0*W); short sy = convert_short_sat_rte(Y0*W); int dst_index = mad24(dy, dst_step, dx * pixsize + dst_offset); if (sx >= 0 && sx < src_cols && sy >= 0 && sy < src_rows) { int src_index = mad24(sy, src_step, sx * pixsize + src_offset); storepix(loadpix(srcptr + src_index), dstptr + dst_index); } else storepix(scalar, dstptr + dst_index); } } #elif defined INTER_LINEAR __kernel void warpPerspective(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant CT * M, ST scalar_) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { CT X0 = M[0] * dx + M[1] * dy + M[2]; CT Y0 = M[3] * dx + M[4] * dy + M[5]; CT W = M[6] * dx + M[7] * dy + M[8]; W = W != 0.0f ? INTER_TAB_SIZE / W : 0.0f; int X = rint(X0 * W), Y = rint(Y0 * W); short sx = convert_short_sat(X >> INTER_BITS); short sy = convert_short_sat(Y >> INTER_BITS); short ay = (short)(Y & (INTER_TAB_SIZE - 1)); short ax = (short)(X & (INTER_TAB_SIZE - 1)); WT v0 = (sx >= 0 && sx < src_cols && sy >= 0 && sy < src_rows) ? convertToWT(loadpix(srcptr + mad24(sy, src_step, src_offset + sx * pixsize))) : scalar; WT v1 = (sx+1 >= 0 && sx+1 < src_cols && sy >= 0 && sy < src_rows) ? convertToWT(loadpix(srcptr + mad24(sy, src_step, src_offset + (sx+1) * pixsize))) : scalar; WT v2 = (sx >= 0 && sx < src_cols && sy+1 >= 0 && sy+1 < src_rows) ? convertToWT(loadpix(srcptr + mad24(sy+1, src_step, src_offset + sx * pixsize))) : scalar; WT v3 = (sx+1 >= 0 && sx+1 < src_cols && sy+1 >= 0 && sy+1 < src_rows) ? convertToWT(loadpix(srcptr + mad24(sy+1, src_step, src_offset + (sx+1) * pixsize))) : scalar; float taby = 1.f/INTER_TAB_SIZE*ay; float tabx = 1.f/INTER_TAB_SIZE*ax; int dst_index = mad24(dy, dst_step, dst_offset + dx * pixsize); #if depth <= 4 int itab0 = convert_short_sat_rte( (1.0f-taby)*(1.0f-tabx) * INTER_REMAP_COEF_SCALE ); int itab1 = convert_short_sat_rte( (1.0f-taby)*tabx * INTER_REMAP_COEF_SCALE ); int itab2 = convert_short_sat_rte( taby*(1.0f-tabx) * INTER_REMAP_COEF_SCALE ); int itab3 = convert_short_sat_rte( taby*tabx * INTER_REMAP_COEF_SCALE ); WT val = v0 * itab0 + v1 * itab1 + v2 * itab2 + v3 * itab3; storepix(convertToT((val + (1 << (INTER_REMAP_COEF_BITS-1))) >> INTER_REMAP_COEF_BITS), dstptr + dst_index); #else float tabx2 = 1.0f - tabx, taby2 = 1.0f - taby; WT val = v0 * tabx2 * taby2 + v1 * tabx * taby2 + v2 * tabx2 * taby + v3 * tabx * taby; storepix(convertToT(val), dstptr + dst_index); #endif } } #elif defined INTER_CUBIC inline void interpolateCubic( float x, float* coeffs ) { const float A = -0.75f; coeffs[0] = ((A*(x + 1.f) - 5.0f*A)*(x + 1.f) + 8.0f*A)*(x + 1.f) - 4.0f*A; coeffs[1] = ((A + 2.f)*x - (A + 3.f))*x*x + 1.f; coeffs[2] = ((A + 2.f)*(1.f - x) - (A + 3.f))*(1.f - x)*(1.f - x) + 1.f; coeffs[3] = 1.f - coeffs[0] - coeffs[1] - coeffs[2]; } __kernel void warpPerspective(__global const uchar * srcptr, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant CT * M, ST scalar_) { int dx = get_global_id(0); int dy = get_global_id(1); if (dx < dst_cols && dy < dst_rows) { CT X0 = M[0] * dx + M[1] * dy + M[2]; CT Y0 = M[3] * dx + M[4] * dy + M[5]; CT W = M[6] * dx + M[7] * dy + M[8]; W = W != 0.0f ? INTER_TAB_SIZE / W : 0.0f; int X = rint(X0 * W), Y = rint(Y0 * W); short sx = convert_short_sat(X >> INTER_BITS) - 1; short sy = convert_short_sat(Y >> INTER_BITS) - 1; short ay = (short)(Y & (INTER_TAB_SIZE-1)); short ax = (short)(X & (INTER_TAB_SIZE-1)); WT v[16]; #pragma unroll for (int y = 0; y < 4; y++) #pragma unroll for (int x = 0; x < 4; x++) v[mad24(y, 4, x)] = (sx+x >= 0 && sx+x < src_cols && sy+y >= 0 && sy+y < src_rows) ? convertToWT(loadpix(srcptr + mad24(sy+y, src_step, src_offset + (sx+x) * pixsize))) : scalar; float tab1y[4], tab1x[4]; float ayy = INTER_SCALE * ay; float axx = INTER_SCALE * ax; interpolateCubic(ayy, tab1y); interpolateCubic(axx, tab1x); int dst_index = mad24(dy, dst_step, dst_offset + dx * pixsize); WT sum = (WT)(0); #if depth <= 4 int itab[16]; #pragma unroll for (int i = 0; i < 16; i++) itab[i] = rint(tab1y[(i>>2)] * tab1x[(i&3)] * INTER_REMAP_COEF_SCALE); #pragma unroll for (int i = 0; i < 16; i++) sum += v[i] * itab[i]; storepix(convertToT( (sum + (1 << (INTER_REMAP_COEF_BITS-1))) >> INTER_REMAP_COEF_BITS ), dstptr + dst_index); #else #pragma unroll for (int i = 0; i < 16; i++) sum += v[i] * tab1y[(i>>2)] * tab1x[(i&3)]; storepix(convertToT( sum ), dstptr + dst_index); #endif } } #endif a369fbc4026cb59e20aead1fb3f896f0warp_transform__constant short4 vec_offset = (short4)(0, 1, 2, 3); #define GET_VAL(x, y) ((x) < 0 || (x) >= src_cols || (y) < 0 || (y) >= src_rows) ? scalar : src[src_offset + y * src_step + x] __kernel void warpAffine_nearest_8u(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant float * M, ST scalar_) { int x = get_global_id(0) * 4; int y = get_global_id(1); uchar scalar = convert_uchar_sat_rte(scalar_); if (x >= dst_cols || y >= dst_rows) return; short4 new_x, new_y; new_x = convert_short4_sat_rte(M[0] * convert_float4(vec_offset + (short4)(x)) + M[1] * convert_float4((short4)y) + M[2]); new_y = convert_short4_sat_rte(M[3] * convert_float4(vec_offset + (short4)(x)) + M[4] * convert_float4((short4)y) + M[5]); uchar4 pix = (uchar4)scalar; pix.s0 = GET_VAL(new_x.s0, new_y.s0); pix.s1 = GET_VAL(new_x.s1, new_y.s1); pix.s2 = GET_VAL(new_x.s2, new_y.s2); pix.s3 = GET_VAL(new_x.s3, new_y.s3); int dst_index = x + y * dst_step + dst_offset; vstore4(pix, 0, dst + dst_index); } uchar4 read_pixels(__global const uchar * src, short tx, short ty, int src_offset, int src_step, int src_cols, int src_rows, uchar scalar) { uchar2 pt, pb; short bx, by; bx = tx + 1; by = ty + 1; if (tx >= 0 && (tx + 1) < src_cols && ty >= 0 && ty < src_rows) { pt = vload2(0, src + src_offset + ty * src_step + tx); } else { pt.s0 = GET_VAL(tx, ty); pt.s1 = GET_VAL(bx, ty); } if (tx >= 0 && (tx + 1) < src_cols && by >= 0 && by < src_rows) { pb = vload2(0, src + src_offset + by * src_step + tx); } else { pb.s0 = GET_VAL(tx, by); pb.s1 = GET_VAL(bx, by); } return (uchar4)(pt, pb); } __kernel void warpAffine_linear_8u(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant float * M, ST scalar_) { int x = get_global_id(0) * 4; int y = get_global_id(1); uchar scalar = convert_uchar_sat_rte(scalar_); if (x >= dst_cols || y >= dst_rows) return; float4 nx, ny; nx = M[0] * convert_float4((vec_offset + (short4)x)) + M[1] * convert_float4((short4)y) + M[2]; ny = M[3] * convert_float4((vec_offset + (short4)x)) + M[4] * convert_float4((short4)y) + M[5]; float4 s, t; s = round((nx - floor(nx)) * 32.0f) / 32.0f; t = round((ny - floor(ny)) * 32.0f) / 32.0f; short4 tx, ty; tx = convert_short4_sat_rtn(nx); ty = convert_short4_sat_rtn(ny); uchar4 pix[4]; pix[0] = read_pixels(src, tx.s0, ty.s0, src_offset, src_step, src_cols, src_rows, scalar); pix[1] = read_pixels(src, tx.s1, ty.s1, src_offset, src_step, src_cols, src_rows, scalar); pix[2] = read_pixels(src, tx.s2, ty.s2, src_offset, src_step, src_cols, src_rows, scalar); pix[3] = read_pixels(src, tx.s3, ty.s3, src_offset, src_step, src_cols, src_rows, scalar); float4 tl, tr, bl, br; tl = convert_float4((uchar4)(pix[0].s0, pix[1].s0, pix[2].s0, pix[3].s0)); tr = convert_float4((uchar4)(pix[0].s1, pix[1].s1, pix[2].s1, pix[3].s1)); bl = convert_float4((uchar4)(pix[0].s2, pix[1].s2, pix[2].s2, pix[3].s2)); br = convert_float4((uchar4)(pix[0].s3, pix[1].s3, pix[2].s3, pix[3].s3)); float4 pixel; pixel = tl * (1 - s) * (1 - t) + tr * s * (1 - t) + bl * (1 - s) * t + br * s * t; int dst_index = x + y * dst_step + dst_offset; vstore4(convert_uchar4_sat_rte(pixel), 0, dst + dst_index); } __constant float coeffs[128] = { 0.000000f, 1.000000f, 0.000000f, 0.000000f, -0.021996f, 0.997841f, 0.024864f, -0.000710f, -0.041199f, 0.991516f, 0.052429f, -0.002747f, -0.057747f, 0.981255f, 0.082466f, -0.005974f, -0.071777f, 0.967285f, 0.114746f, -0.010254f, -0.083427f, 0.949837f, 0.149040f, -0.015450f, -0.092834f, 0.929138f, 0.185120f, -0.021423f, -0.100136f, 0.905418f, 0.222755f, -0.028038f, -0.105469f, 0.878906f, 0.261719f, -0.035156f, -0.108971f, 0.849831f, 0.301781f, -0.042641f, -0.110779f, 0.818420f, 0.342712f, -0.050354f, -0.111031f, 0.784904f, 0.384285f, -0.058159f, -0.109863f, 0.749512f, 0.426270f, -0.065918f, -0.107414f, 0.712471f, 0.468437f, -0.073494f, -0.103821f, 0.674011f, 0.510559f, -0.080750f, -0.099220f, 0.634361f, 0.552406f, -0.087547f, -0.093750f, 0.593750f, 0.593750f, -0.093750f, -0.087547f, 0.552406f, 0.634361f, -0.099220f, -0.080750f, 0.510559f, 0.674011f, -0.103821f, -0.073494f, 0.468437f, 0.712471f, -0.107414f, -0.065918f, 0.426270f, 0.749512f, -0.109863f, -0.058159f, 0.384285f, 0.784904f, -0.111031f, -0.050354f, 0.342712f, 0.818420f, -0.110779f, -0.042641f, 0.301781f, 0.849831f, -0.108971f, -0.035156f, 0.261719f, 0.878906f, -0.105469f, -0.028038f, 0.222755f, 0.905418f, -0.100136f, -0.021423f, 0.185120f, 0.929138f, -0.092834f, -0.015450f, 0.149040f, 0.949837f, -0.083427f, -0.010254f, 0.114746f, 0.967285f, -0.071777f, -0.005974f, 0.082466f, 0.981255f, -0.057747f, -0.002747f, 0.052429f, 0.991516f, -0.041199f, -0.000710f, 0.024864f, 0.997841f, -0.021996f }; uchar4 read_pixels_cubic(__global const uchar * src, int tx, int ty, int src_offset, int src_step, int src_cols, int src_rows, uchar scalar) { uchar4 pix; if (tx >= 0 && (tx + 3) < src_cols && ty >= 0 && ty < src_rows) { pix = vload4(0, src + src_offset + ty * src_step + tx); } else { pix.s0 = GET_VAL((tx + 0), ty); pix.s1 = GET_VAL((tx + 1), ty); pix.s2 = GET_VAL((tx + 2), ty); pix.s3 = GET_VAL((tx + 3), ty); } return pix; } __kernel void warpAffine_cubic_8u(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant float * M, ST scalar_) { int x = get_global_id(0) * 4; int y = get_global_id(1); uchar scalar = convert_uchar_sat_rte(scalar_); if (x >= dst_cols || y >= dst_rows) return; float4 nx, ny; nx = M[0] * convert_float4((vec_offset + (short4)x)) + M[1] * convert_float4((short4)y) + M[2]; ny = M[3] * convert_float4((vec_offset + (short4)x)) + M[4] * convert_float4((short4)y) + M[5]; int4 ax, ay; ax = convert_int4_sat_rte((nx - floor(nx)) * 32.0f) & 31; ay = convert_int4_sat_rte((ny - floor(ny)) * 32.0f) & 31; int4 tx, ty; int4 delta_x, delta_y; delta_x = select((int4)1, (int4)0, ((nx - floor(nx))) * 64 > 63); delta_y = select((int4)1, (int4)0, ((ny - floor(ny))) * 64 > 63); tx = convert_int4_sat_rtn(nx) - delta_x; ty = convert_int4_sat_rtn(ny) - delta_y; __constant float * coeffs_x, * coeffs_y; float4 sum = (float4)0.0f; uchar4 pix; float xsum; coeffs_x = coeffs + (ax.s0 << 2); coeffs_y = coeffs + (ay.s0 << 2); for (int i = 0; i < 4; i++) { pix = read_pixels_cubic(src, tx.s0, ty.s0 + i, src_offset, src_step, src_cols, src_rows, scalar); xsum = dot(convert_float4(pix), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); sum.s0 = fma(xsum, coeffs_y[i], sum.s0); } coeffs_x = coeffs + (ax.s1 << 2); coeffs_y = coeffs + (ay.s1 << 2); for (int i = 0; i < 4; i++) { pix = read_pixels_cubic(src, tx.s1, ty.s1 + i, src_offset, src_step, src_cols, src_rows, scalar); xsum = dot(convert_float4(pix), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); sum.s1 = fma(xsum, coeffs_y[i], sum.s1); } coeffs_x = coeffs + (ax.s2 << 2); coeffs_y = coeffs + (ay.s2 << 2); for (int i = 0; i < 4; i++) { pix = read_pixels_cubic(src, tx.s2, ty.s2 + i, src_offset, src_step, src_cols, src_rows, scalar); xsum = dot(convert_float4(pix), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); sum.s2 = fma(xsum, coeffs_y[i], sum.s2); } coeffs_x = coeffs + (ax.s3 << 2); coeffs_y = coeffs + (ay.s3 << 2); for (int i = 0; i < 4; i++) { pix = read_pixels_cubic(src, tx.s3, ty.s3 + i, src_offset, src_step, src_cols, src_rows, scalar); xsum = dot(convert_float4(pix), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); sum.s3 = fma(xsum, coeffs_y[i], sum.s3); } int dst_index = x + y * dst_step + dst_offset; vstore4(convert_uchar4_sat_rte(sum), 0, dst + dst_index); } __kernel void warpPerspective_nearest_8u(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant float * M, ST scalar_) { int x = get_global_id(0) * 4; int y = get_global_id(1); uchar scalar = convert_uchar_sat_rte(scalar_); if (x >= dst_cols || y >= dst_rows) return; float4 nx, ny, nz; nx = M[0] * convert_float4(vec_offset + (short4)(x)) + M[1] * convert_float4((short4)y) + M[2]; ny = M[3] * convert_float4(vec_offset + (short4)(x)) + M[4] * convert_float4((short4)y) + M[5]; nz = M[6] * convert_float4(vec_offset + (short4)(x)) + M[7] * convert_float4((short4)y) + M[8]; short4 new_x, new_y; float4 fz = select((float4)(0.0f), (float4)(1.0f / nz), nz != 0.0f); new_x = convert_short4_sat_rte(nx * fz); new_y = convert_short4_sat_rte(ny * fz); uchar4 pix = (uchar4)scalar; pix.s0 = GET_VAL(new_x.s0, new_y.s0); pix.s1 = GET_VAL(new_x.s1, new_y.s1); pix.s2 = GET_VAL(new_x.s2, new_y.s2); pix.s3 = GET_VAL(new_x.s3, new_y.s3); int dst_index = x + y * dst_step + dst_offset; vstore4(pix, 0, dst + dst_index); } __kernel void warpPerspective_linear_8u(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant float * M, ST scalar_) { int x = get_global_id(0) * 4; int y = get_global_id(1); uchar scalar = convert_uchar_sat_rte(scalar_); if (x >= dst_cols || y >= dst_rows) return; float4 nx, ny, nz; nx = M[0] * convert_float4(vec_offset + (short4)(x)) + M[1] * convert_float4((short4)y) + M[2]; ny = M[3] * convert_float4(vec_offset + (short4)(x)) + M[4] * convert_float4((short4)y) + M[5]; nz = M[6] * convert_float4(vec_offset + (short4)(x)) + M[7] * convert_float4((short4)y) + M[8]; float4 fz = select((float4)(0.0f), (float4)(1.0f / nz), nz != 0.0f); nx = nx * fz; ny = ny * fz; float4 s, t; s = round((nx - floor(nx)) * 32.0f) / (float4)32.0f; t = round((ny - floor(ny)) * 32.0f) / (float4)32.0f; short4 tx, ty; tx = convert_short4_sat_rtn(nx); ty = convert_short4_sat_rtn(ny); uchar4 pix[4]; pix[0] = read_pixels(src, tx.s0, ty.s0, src_offset, src_step, src_cols, src_rows, scalar); pix[1] = read_pixels(src, tx.s1, ty.s1, src_offset, src_step, src_cols, src_rows, scalar); pix[2] = read_pixels(src, tx.s2, ty.s2, src_offset, src_step, src_cols, src_rows, scalar); pix[3] = read_pixels(src, tx.s3, ty.s3, src_offset, src_step, src_cols, src_rows, scalar); float4 tl, tr, bl, br; tl = convert_float4((uchar4)(pix[0].s0, pix[1].s0, pix[2].s0, pix[3].s0)); tr = convert_float4((uchar4)(pix[0].s1, pix[1].s1, pix[2].s1, pix[3].s1)); bl = convert_float4((uchar4)(pix[0].s2, pix[1].s2, pix[2].s2, pix[3].s2)); br = convert_float4((uchar4)(pix[0].s3, pix[1].s3, pix[2].s3, pix[3].s3)); float4 pixel; pixel = tl * (1 - s) * (1 - t) + tr * s * (1 - t) + bl * (1 - s) * t + br * s * t; int dst_index = x + y * dst_step + dst_offset; vstore4(convert_uchar4_sat_rte(pixel), 0, dst + dst_index); } __kernel void warpPerspective_cubic_8u(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols, __global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols, __constant float * M, ST scalar_) { int x = get_global_id(0) * 4; int y = get_global_id(1); uchar scalar = convert_uchar_sat_rte(scalar_); if (x >= dst_cols || y >= dst_rows) return; float4 nx, ny, nz; nx = M[0] * convert_float4(vec_offset + (short4)(x)) + M[1] * convert_float4((short4)y) + M[2]; ny = M[3] * convert_float4(vec_offset + (short4)(x)) + M[4] * convert_float4((short4)y) + M[5]; nz = M[6] * convert_float4(vec_offset + (short4)(x)) + M[7] * convert_float4((short4)y) + M[8]; float4 fz = select((float4)(0.0f), (float4)(1.0f / nz), nz != 0.0f); nx = nx * fz; ny = ny * fz; int4 ax, ay; ax = convert_int4_sat_rte((nx - floor(nx)) * 32.0f) & 31; ay = convert_int4_sat_rte((ny - floor(ny)) * 32.0f) & 31; int4 tx, ty; int4 delta_x, delta_y; delta_x = select((int4)1, (int4)0, ((nx - floor(nx))) * 64 > 63); delta_y = select((int4)1, (int4)0, ((ny - floor(ny))) * 64 > 63); tx = convert_int4_sat_rtn(nx) - delta_x; ty = convert_int4_sat_rtn(ny) - delta_y; __constant float * coeffs_x, * coeffs_y; float4 sum = (float4)0.0f; uchar4 pix; float xsum; coeffs_x = coeffs + (ax.s0 << 2); coeffs_y = coeffs + (ay.s0 << 2); for (int i = 0; i < 4; i++) { pix = read_pixels_cubic(src, tx.s0, ty.s0 + i, src_offset, src_step, src_cols, src_rows, scalar); xsum = dot(convert_float4(pix), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); sum.s0 = fma(xsum, coeffs_y[i], sum.s0); } coeffs_x = coeffs + (ax.s1 << 2); coeffs_y = coeffs + (ay.s1 << 2); for (int i = 0; i < 4; i++) { pix = read_pixels_cubic(src, tx.s1, ty.s1 + i, src_offset, src_step, src_cols, src_rows, scalar); xsum = dot(convert_float4(pix), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); sum.s1 = fma(xsum, coeffs_y[i], sum.s1); } coeffs_x = coeffs + (ax.s2 << 2); coeffs_y = coeffs + (ay.s2 << 2); for (int i = 0; i < 4; i++) { pix = read_pixels_cubic(src, tx.s2, ty.s2 + i, src_offset, src_step, src_cols, src_rows, scalar); xsum = dot(convert_float4(pix), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); sum.s2 = fma(xsum, coeffs_y[i], sum.s2); } coeffs_x = coeffs + (ax.s3 << 2); coeffs_y = coeffs + (ay.s3 << 2); for (int i = 0; i < 4; i++) { pix = read_pixels_cubic(src, tx.s3, ty.s3 + i, src_offset, src_step, src_cols, src_rows, scalar); xsum = dot(convert_float4(pix), (float4)(coeffs_x[0], coeffs_x[1], coeffs_x[2], coeffs_x[3])); sum.s3 = fma(xsum, coeffs_y[i], sum.s3); } int dst_index = x + y * dst_step + dst_offset; vstore4(convert_uchar4_sat_rte(sum), 0, dst + dst_index); } 14b9aef8e98f5e09295cf556e35dbf81Ptr cv::opt_SSE4_1::getRowSumFilter(int, int, int, int)Ptr cv::opt_SSE4_1::getColumnSumFilter(int, int, int, int, double)Ptr cv::opt_SSE4_1::createBoxFilter(int, int, cv::Size, cv::Point, bool, int)virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = int]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = unsigned short]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = int]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = int]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = int, ST = int]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = float, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = double, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = unsigned char]virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = unsigned short]virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = short]virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = float]virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = int, T = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = int]virtual void cv::opt_SSE4_1::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = float, ST = double]virtual void cv::opt_SSE4_1::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = double, ST = double]int cv::opt_SSE4_1::FilterEngine__start(cv::FilterEngine &, const cv::Size &, const cv::Size &, const cv::Point &)int cv::opt_SSE4_1::FilterEngine__proceed(cv::FilterEngine &, const uchar *, int, int, uchar *, int)void cv::opt_SSE4_1::FilterEngine__apply(cv::FilterEngine &, const cv::Mat &, cv::Mat &, const cv::Size &, const cv::Point &)Ptr cv::opt_SSE4_1::getLinearRowFilter(int, int, const cv::Mat &, int, int)Ptr cv::opt_SSE4_1::getLinearColumnFilter(int, int, const cv::Mat &, int, int, double, int)Ptr cv::opt_SSE4_1::getLinearFilter(int, int, const cv::Mat &, cv::Point, double, int)virtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::opt_SSE4_1::SymmRowSmallVec_8u32s]int cv::opt_SSE4_1::SymmRowSmallVec_8u32s::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_SSE4_1::SymmRowSmallFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::opt_SSE4_1::SymmRowSmallVec_8u32s]virtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::opt_SSE4_1::SymmRowSmallVec_32f]int cv::opt_SSE4_1::SymmRowSmallVec_32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_SSE4_1::SymmRowSmallFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::opt_SSE4_1::SymmRowSmallVec_32f]virtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::opt_SSE4_1::RowVec_8u32s]int cv::opt_SSE4_1::RowVec_8u32s::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = float, VecOp = cv::opt_SSE4_1::RowVec_8u32f]int cv::opt_SSE4_1::RowVec_8u32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = double, VecOp = cv::opt_SSE4_1::RowNoVec]virtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned short, DT = float, VecOp = cv::opt_SSE4_1::RowNoVec]virtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned short, DT = double, VecOp = cv::opt_SSE4_1::RowNoVec]virtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = short, DT = float, VecOp = cv::opt_SSE4_1::RowVec_16s32f]int cv::opt_SSE4_1::RowVec_16s32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = short, DT = double, VecOp = cv::opt_SSE4_1::RowNoVec]virtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::opt_SSE4_1::RowVec_32f]int cv::opt_SSE4_1::RowVec_32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = double, VecOp = cv::opt_SSE4_1::RowNoVec]virtual void cv::opt_SSE4_1::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = double, DT = double, VecOp = cv::opt_SSE4_1::RowNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::FixedPtCastEx, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::FixedPtCastEx, VecOp = cv::opt_SSE4_1::SymmColumnVec_32s8u]int cv::opt_SSE4_1::SymmColumnVec_32s8u::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::FixedPtCastEx, VecOp = cv::opt_SSE4_1::SymmColumnVec_32s8u]virtual void cv::opt_SSE4_1::SymmColumnSmallFilter, cv::opt_SSE4_1::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::FixedPtCastEx, VecOp = cv::opt_SSE4_1::SymmColumnVec_32s8u]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnSmallVec_32s16s]int cv::opt_SSE4_1::SymmColumnSmallVec_32s16s::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnSmallVec_32s16s]virtual void cv::opt_SSE4_1::SymmColumnSmallFilter, cv::opt_SSE4_1::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnSmallVec_32s16s]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnSmallVec_32f]int cv::opt_SSE4_1::SymmColumnSmallVec_32f::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnSmallVec_32f]virtual void cv::opt_SSE4_1::SymmColumnSmallFilter, cv::opt_SSE4_1::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnSmallVec_32f]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::SymmColumnVec_32f8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnVec_32f8u]int cv::opt_SSE4_1::SymmColumnVec_32f8u::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::SymmColumnVec_32f8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnVec_32f8u]virtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::SymmColumnVec_32f16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnVec_32f16s]int cv::opt_SSE4_1::SymmColumnVec_32f16s::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::SymmColumnVec_32f16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnVec_32f16s]virtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]virtual void cv::opt_SSE4_1::ColumnFilter, cv::opt_SSE4_1::SymmColumnVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnVec_32f]int cv::opt_SSE4_1::SymmColumnVec_32f::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::SymmColumnVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::SymmColumnVec_32f]virtual void cv::opt_SSE4_1::SymmColumnFilter, cv::opt_SSE4_1::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_SSE4_1::Cast, VecOp = cv::opt_SSE4_1::ColumnNoVec]int cv::opt_SSE4_1::FilterVec_8u::operator()(const uchar **, uchar *, int) constint cv::opt_SSE4_1::FilterVec_8u16s::operator()(const uchar **, uchar *, int) constint cv::opt_SSE4_1::FilterVec_32f::operator()(const uchar **, uchar *, int) constvoid cv::hal::opt_SSE4_1::cvtBGRtoHSV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)void cv::hal::opt_SSE4_1::cvtHSVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2HSV_b]void cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2HSV_b::operator()(const uchar *, uchar *, int) constvirtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2HSV_f]void cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2HSV_f::operator()(const float *, float *, int) constvirtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2HLS_b]void cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2HLS_b::operator()(const uchar *, uchar *, int) constvoid cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2HLS_f::operator()(const float *, float *, int) constvirtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2HLS_f]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::HSV2RGB_b]void cv::hal::opt_SSE4_1::(anonymous namespace)::HSV2RGB_b::operator()(const uchar *, uchar *, int) constvirtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::HSV2RGB_f]void cv::hal::opt_SSE4_1::(anonymous namespace)::HSV2RGB_f::operator()(const float *, float *, int) constvirtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::HLS2RGB_b]void cv::hal::opt_SSE4_1::(anonymous namespace)::HLS2RGB_b::operator()(const uchar *, uchar *, int) constvoid cv::hal::opt_SSE4_1::(anonymous namespace)::HLS2RGB_f::operator()(const float *, float *, int) constvirtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::HLS2RGB_f]void cv::hal::opt_SSE4_1::cvtBGRtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, int, bool)void cv::hal::opt_SSE4_1::cvtBGRtoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_SSE4_1::cvtBGR5x5toBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_SSE4_1::cvtBGRtoGray(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool)void cv::hal::opt_SSE4_1::cvtGraytoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int)void cv::hal::opt_SSE4_1::cvtBGR5x5toGray(const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::cvtGraytoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_SSE4_1::cvtRGBAtoMultipliedRGBA(const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_SSE4_1::cvtMultipliedRGBAtoRGBA(const uchar *, size_t, uchar *, size_t, int, int)virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2RGB]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2RGB]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2RGB]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2RGB5x5]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB5x52RGB]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2Gray]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2Gray]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2Gray]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::Gray2RGB]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::Gray2RGB]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::Gray2RGB]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB5x52Gray]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::Gray2RGB5x5]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGBA2mRGBA]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::mRGBA2RGBA]void cv::hal::opt_SSE4_1::cvtBGRtoYUV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool)void cv::hal::opt_SSE4_1::cvtYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool)void cv::hal::opt_SSE4_1::cvtTwoPlaneYUVtoBGR(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_SSE4_1::cvtThreePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_SSE4_1::cvtBGRtoThreePlaneYUV(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_SSE4_1::cvtBGRtoTwoPlaneYUV(const uchar *, size_t, uchar *, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_SSE4_1::cvtOnePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int, int)virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2YCrCb_i]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2YCrCb_i]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::RGB2YCrCb_f]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::YCrCb2RGB_i]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::YCrCb2RGB_i]virtual void cv::hal::opt_SSE4_1::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_SSE4_1::(anonymous namespace)::YCrCb2RGB_f]void cv::opt_SSE4_1::medianBlur(const cv::Mat &, cv::Mat &, int)void cv::opt_SSE4_1::medianBlur_8u_Om(const cv::Mat &, cv::Mat &, int)void cv::opt_SSE4_1::medianBlur_8u_O1(const cv::Mat &, cv::Mat &, int)void cv::opt_SSE4_1::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinMax8u, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MinMaxVec8u]void cv::opt_SSE4_1::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinMax16u, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MinMaxVec16u]void cv::opt_SSE4_1::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinMax16s, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MinMaxVec16s]void cv::opt_SSE4_1::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinMax32f, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MinMaxVec32f]Ptr cv::opt_SSE4_1::getMorphologyRowFilter(int, int, int, int)Ptr cv::opt_SSE4_1::getMorphologyColumnFilter(int, int, int, int)Ptr cv::opt_SSE4_1::getMorphologyFilter(int, int, const cv::Mat &, cv::Point)virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowNoVec>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowNoVec]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphRowFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphRowNoVec>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphRowNoVec]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnNoVec]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphColumnFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphColumnNoVec]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMin]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphNoVec>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MinOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphNoVec]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphVec>]int cv::opt_SSE4_1::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_SSE4_1::(anonymous namespace)::VMax]virtual void cv::opt_SSE4_1::(anonymous namespace)::MorphFilter, cv::opt_SSE4_1::(anonymous namespace)::MorphNoVec>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_SSE4_1::(anonymous namespace)::MaxOp, VecOp = cv::opt_SSE4_1::(anonymous namespace)::MorphNoVec]void cv::opt_SSE4_1::GaussianBlurFixedPointImpl(const cv::Mat &, cv::Mat &, const RFT *, int, const RFT *, int, int) [RFT = unsigned short, ET = unsigned char, FT = cv::opt_SSE4_1::(anonymous namespace)::ufixedpoint16]void cv::opt_SSE4_1::GaussianBlurFixedPointImpl(const cv::Mat &, cv::Mat &, const RFT *, int, const RFT *, int, int) [RFT = unsigned int, ET = unsigned short, FT = cv::opt_SSE4_1::(anonymous namespace)::ufixedpoint32]void cv::opt_AVX2::bilateralFilterInvoker_8u(cv::Mat &, const cv::Mat &, int, int, int *, float *, float *)void cv::opt_AVX2::bilateralFilterInvoker_32f(int, int, int, int *, const cv::Mat &, cv::Mat &, float, float *, float *)virtual void cv::opt_AVX2::(anonymous namespace)::BilateralFilter_8u_Invoker::operator()(const cv::Range &) constvirtual void cv::opt_AVX2::(anonymous namespace)::BilateralFilter_32f_Invoker::operator()(const cv::Range &) constPtr cv::opt_AVX2::getRowSumFilter(int, int, int, int)Ptr cv::opt_AVX2::getColumnSumFilter(int, int, int, int, double)Ptr cv::opt_AVX2::createBoxFilter(int, int, cv::Size, cv::Point, bool, int)virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = int]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = unsigned short]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = int]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = int]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = int, ST = int]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = float, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::RowSum::operator()(const uchar *, uchar *, int, int) [T = double, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = unsigned char]virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = unsigned short]virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = short]virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int)virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = float]virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = int, T = double]virtual void cv::opt_AVX2::(anonymous namespace)::ColumnSum::operator()(const uchar **, uchar *, int, int, int) [ST = double, T = double]virtual void cv::opt_AVX2::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = int]virtual void cv::opt_AVX2::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned char, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = unsigned short, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = short, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = float, ST = double]virtual void cv::opt_AVX2::(anonymous namespace)::SqrRowSum::operator()(const uchar *, uchar *, int, int) [T = double, ST = double]int cv::opt_AVX2::FilterEngine__start(cv::FilterEngine &, const cv::Size &, const cv::Size &, const cv::Point &)int cv::opt_AVX2::FilterEngine__proceed(cv::FilterEngine &, const uchar *, int, int, uchar *, int)void cv::opt_AVX2::FilterEngine__apply(cv::FilterEngine &, const cv::Mat &, cv::Mat &, const cv::Size &, const cv::Point &)Ptr cv::opt_AVX2::getLinearRowFilter(int, int, const cv::Mat &, int, int)Ptr cv::opt_AVX2::getLinearColumnFilter(int, int, const cv::Mat &, int, int, double, int)Ptr cv::opt_AVX2::getLinearFilter(int, int, const cv::Mat &, cv::Point, double, int)virtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::opt_AVX2::SymmRowSmallVec_8u32s]int cv::opt_AVX2::SymmRowSmallVec_8u32s::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_AVX2::SymmRowSmallFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::opt_AVX2::SymmRowSmallVec_8u32s]virtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::opt_AVX2::SymmRowSmallVec_32f]int cv::opt_AVX2::SymmRowSmallVec_32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_AVX2::SymmRowSmallFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::opt_AVX2::SymmRowSmallVec_32f]virtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = int, VecOp = cv::opt_AVX2::RowVec_8u32s]int cv::opt_AVX2::RowVec_8u32s::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = float, VecOp = cv::opt_AVX2::RowVec_8u32f]int cv::opt_AVX2::RowVec_8u32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned char, DT = double, VecOp = cv::opt_AVX2::RowNoVec]virtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned short, DT = float, VecOp = cv::opt_AVX2::RowNoVec]virtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = unsigned short, DT = double, VecOp = cv::opt_AVX2::RowNoVec]virtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = short, DT = float, VecOp = cv::opt_AVX2::RowVec_16s32f]int cv::opt_AVX2::RowVec_16s32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = short, DT = double, VecOp = cv::opt_AVX2::RowNoVec]virtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = float, VecOp = cv::opt_AVX2::RowVec_32f]int cv::opt_AVX2::RowVec_32f::operator()(const uchar *, uchar *, int, int) constvirtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = float, DT = double, VecOp = cv::opt_AVX2::RowNoVec]virtual void cv::opt_AVX2::RowFilter::operator()(const uchar *, uchar *, int, int) [ST = double, DT = double, VecOp = cv::opt_AVX2::RowNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::FixedPtCastEx, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::FixedPtCastEx, VecOp = cv::opt_AVX2::SymmColumnVec_32s8u]int cv::opt_AVX2::SymmColumnVec_32s8u::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::FixedPtCastEx, VecOp = cv::opt_AVX2::SymmColumnVec_32s8u]virtual void cv::opt_AVX2::SymmColumnSmallFilter, cv::opt_AVX2::SymmColumnVec_32s8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::FixedPtCastEx, VecOp = cv::opt_AVX2::SymmColumnVec_32s8u]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnSmallVec_32s16s]int cv::opt_AVX2::SymmColumnSmallVec_32s16s::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnSmallVec_32s16s]virtual void cv::opt_AVX2::SymmColumnSmallFilter, cv::opt_AVX2::SymmColumnSmallVec_32s16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnSmallVec_32s16s]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnSmallVec_32f]int cv::opt_AVX2::SymmColumnSmallVec_32f::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnSmallVec_32f]virtual void cv::opt_AVX2::SymmColumnSmallFilter, cv::opt_AVX2::SymmColumnSmallVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnSmallVec_32f]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::SymmColumnVec_32f8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnVec_32f8u]int cv::opt_AVX2::SymmColumnVec_32f8u::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::SymmColumnVec_32f8u>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnVec_32f8u]virtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::SymmColumnVec_32f16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnVec_32f16s]int cv::opt_AVX2::SymmColumnVec_32f16s::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::SymmColumnVec_32f16s>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnVec_32f16s]virtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]virtual void cv::opt_AVX2::ColumnFilter, cv::opt_AVX2::SymmColumnVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnVec_32f]int cv::opt_AVX2::SymmColumnVec_32f::operator()(const uchar **, uchar *, int) constvirtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::SymmColumnVec_32f>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::SymmColumnVec_32f]virtual void cv::opt_AVX2::SymmColumnFilter, cv::opt_AVX2::ColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [CastOp = cv::opt_AVX2::Cast, VecOp = cv::opt_AVX2::ColumnNoVec]int cv::opt_AVX2::FilterVec_8u::operator()(const uchar **, uchar *, int) constint cv::opt_AVX2::FilterVec_8u16s::operator()(const uchar **, uchar *, int) constint cv::opt_AVX2::FilterVec_32f::operator()(const uchar **, uchar *, int) constvoid cv::hal::opt_AVX2::cvtBGRtoHSV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)void cv::hal::opt_AVX2::cvtHSVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool, bool)virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2HSV_b]void cv::hal::opt_AVX2::(anonymous namespace)::RGB2HSV_b::operator()(const uchar *, uchar *, int) constvirtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2HSV_f]void cv::hal::opt_AVX2::(anonymous namespace)::RGB2HSV_f::operator()(const float *, float *, int) constvirtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2HLS_b]void cv::hal::opt_AVX2::(anonymous namespace)::RGB2HLS_b::operator()(const uchar *, uchar *, int) constvoid cv::hal::opt_AVX2::(anonymous namespace)::RGB2HLS_f::operator()(const float *, float *, int) constvirtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2HLS_f]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::HSV2RGB_b]void cv::hal::opt_AVX2::(anonymous namespace)::HSV2RGB_b::operator()(const uchar *, uchar *, int) constvirtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::HSV2RGB_f]void cv::hal::opt_AVX2::(anonymous namespace)::HSV2RGB_f::operator()(const float *, float *, int) constvirtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::HLS2RGB_b]void cv::hal::opt_AVX2::(anonymous namespace)::HLS2RGB_b::operator()(const uchar *, uchar *, int) constvoid cv::hal::opt_AVX2::(anonymous namespace)::HLS2RGB_f::operator()(const float *, float *, int) constvirtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::HLS2RGB_f]void cv::hal::opt_AVX2::cvtBGRtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, int, bool)void cv::hal::opt_AVX2::cvtBGRtoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_AVX2::cvtBGR5x5toBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_AVX2::cvtBGRtoGray(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool)void cv::hal::opt_AVX2::cvtGraytoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int)void cv::hal::opt_AVX2::cvtBGR5x5toGray(const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::cvtGraytoBGR5x5(const uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX2::cvtRGBAtoMultipliedRGBA(const uchar *, size_t, uchar *, size_t, int, int)void cv::hal::opt_AVX2::cvtMultipliedRGBAtoRGBA(const uchar *, size_t, uchar *, size_t, int, int)virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2RGB]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2RGB]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2RGB]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2RGB5x5]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB5x52RGB]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2Gray]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2Gray]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2Gray]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::Gray2RGB]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::Gray2RGB]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::Gray2RGB]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB5x52Gray]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::Gray2RGB5x5]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGBA2mRGBA]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::mRGBA2RGBA]void cv::hal::opt_AVX2::cvtBGRtoYUV(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool)void cv::hal::opt_AVX2::cvtYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, int, bool, bool)void cv::hal::opt_AVX2::cvtTwoPlaneYUVtoBGR(const uchar *, size_t, const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_AVX2::cvtThreePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_AVX2::cvtBGRtoThreePlaneYUV(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_AVX2::cvtBGRtoTwoPlaneYUV(const uchar *, size_t, uchar *, uchar *, size_t, int, int, int, bool, int)void cv::hal::opt_AVX2::cvtOnePlaneYUVtoBGR(const uchar *, size_t, uchar *, size_t, int, int, int, bool, int, int)virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2YCrCb_i]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2YCrCb_i]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::RGB2YCrCb_f]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::YCrCb2RGB_i]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::YCrCb2RGB_i]virtual void cv::hal::opt_AVX2::(anonymous namespace)::CvtColorLoop_Invoker>::operator()(const cv::Range &) const [Cvt = cv::hal::opt_AVX2::(anonymous namespace)::YCrCb2RGB_f]void cv::opt_AVX2::medianBlur(const cv::Mat &, cv::Mat &, int)void cv::opt_AVX2::medianBlur_8u_Om(const cv::Mat &, cv::Mat &, int)void cv::opt_AVX2::medianBlur_8u_O1(const cv::Mat &, cv::Mat &, int)void cv::opt_AVX2::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinMax8u, VecOp = cv::opt_AVX2::(anonymous namespace)::MinMaxVec8u]void cv::opt_AVX2::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinMax16u, VecOp = cv::opt_AVX2::(anonymous namespace)::MinMaxVec16u]void cv::opt_AVX2::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinMax16s, VecOp = cv::opt_AVX2::(anonymous namespace)::MinMaxVec16s]void cv::opt_AVX2::(anonymous namespace)::medianBlur_SortNet(const cv::Mat &, cv::Mat &, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinMax32f, VecOp = cv::opt_AVX2::(anonymous namespace)::MinMaxVec32f]Ptr cv::opt_AVX2::getMorphologyRowFilter(int, int, int, int)Ptr cv::opt_AVX2::getMorphologyColumnFilter(int, int, int, int)Ptr cv::opt_AVX2::getMorphologyFilter(int, int, const cv::Mat &, cv::Point)virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowVec>]int cv::opt_AVX2::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowVec>]int cv::opt_AVX2::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowVec>]int cv::opt_AVX2::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowVec>]int cv::opt_AVX2::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowNoVec>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowNoVec]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowVec>]int cv::opt_AVX2::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowVec>]int cv::opt_AVX2::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowVec>]int cv::opt_AVX2::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowVec>>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowVec>]int cv::opt_AVX2::(anonymous namespace)::MorphRowVec>::operator()(const uchar *, uchar *, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphRowFilter, cv::opt_AVX2::(anonymous namespace)::MorphRowNoVec>::operator()(const uchar *, uchar *, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphRowNoVec]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>]int cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>]int cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>]int cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>]int cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnNoVec]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>]int cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>]int cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>]int cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>]int cv::opt_AVX2::(anonymous namespace)::MorphColumnVec>::operator()(const uchar **, uchar *, int, int, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphColumnFilter, cv::opt_AVX2::(anonymous namespace)::MorphColumnNoVec>::operator()(const uchar **, uchar *, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphColumnNoVec]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphVec>]int cv::opt_AVX2::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphVec>]int cv::opt_AVX2::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphVec>]int cv::opt_AVX2::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphVec>]int cv::opt_AVX2::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMin]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphNoVec>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MinOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphNoVec]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphVec>]int cv::opt_AVX2::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphVec>]int cv::opt_AVX2::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphVec>]int cv::opt_AVX2::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphVec>>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphVec>]int cv::opt_AVX2::(anonymous namespace)::MorphVec>::operator()(uchar **, int, uchar *, int) const [VecUpdate = cv::opt_AVX2::(anonymous namespace)::VMax]virtual void cv::opt_AVX2::(anonymous namespace)::MorphFilter, cv::opt_AVX2::(anonymous namespace)::MorphNoVec>::operator()(const uchar **, uchar *, int, int, int, int) [Op = cv::opt_AVX2::(anonymous namespace)::MaxOp, VecOp = cv::opt_AVX2::(anonymous namespace)::MorphNoVec]void cv::opt_AVX2::GaussianBlurFixedPointImpl(const cv::Mat &, cv::Mat &, const RFT *, int, const RFT *, int, int) [RFT = unsigned short, ET = unsigned char, FT = cv::opt_AVX2::(anonymous namespace)::ufixedpoint16]void cv::opt_AVX2::GaussianBlurFixedPointImpl(const cv::Mat &, cv::Mat &, const RFT *, int, const RFT *, int, int) [RFT = unsigned int, ET = unsigned short, FT = cv::opt_AVX2::(anonymous namespace)::ufixedpoint32]bool cv::hal::opt_AVX2::integral_SIMD(int, int, int, const uchar *, size_t, uchar *, size_t, uchar *, size_t, uchar *, size_t, int, int, int)bool cv::hal::opt_AVX512_SKX::integral_SIMD(int, int, int, const uchar *, size_t, uchar *, size_t, uchar *, size_t, uchar *, size_t, int, int, int)void cv::hal::opt_AVX512_SKX::calculate_integral_avx512(const uchar *, size_t, double *, size_t, double *, size_t, int, int, int)/Users/runner/work/opencv/opencv/modules/imgproc/src/sumpixels.avx512_skx.hppinput.type() == CV_8UC4 || input.type() == CV_8UC3 || input.type() == CV_8U/Users/runner/work/opencv/opencv/3rdparty/modules/img_hash/src/average_hash.cppgetLocalImpl/Users/runner/work/opencv/opencv/3rdparty/modules/img_hash/src/block_mean_hash.cppmode == BLOCK_MEAN_HASH_MODE_0 || mode == BLOCK_MEAN_HASH_MODE_1setMode/Users/runner/work/opencv/opencv/3rdparty/modules/img_hash/src/color_moment_hash.cpp/Users/runner/work/opencv/opencv/3rdparty/modules/img_hash/src/marr_hildreth_hash.cpp/Users/runner/work/opencv/opencv/3rdparty/modules/img_hash/src/phash.cpp/Users/runner/work/opencv/opencv/3rdparty/modules/img_hash/src/radial_variance_hash.cppsetNumOfAngleLinesetSigmahashOneF.cols == hashSize && hashOneF.cols == hashTwoF.colsOPENCV_IO_MAX_IMAGE_PARAMSOPENCV_IO_MAX_IMAGE_WIDTHOPENCV_IO_MAX_IMAGE_HEIGHTOPENCV_IO_MAX_IMAGE_PIXELScv::Mat cv::imread(const cv::String &, std::vector &, int)/Users/runner/work/opencv/opencv/modules/imgcodecs/src/loadsave.cppcv::Mat cv::dicomRawMatRead(cv::Mat &, const std::vector &, const cv::String &)dicomRawMatReadcv::Mat cv::dicomRawFileRead(const cv::String &, const std::vector &, const std::vector &, const std::vector &, const cv::String &)cv::Mat cv::dicomJpgFileRead(const cv::String &, const std::vector &, const std::vector &, int, int)segposition.size() == seglength.size()dicomJpgFileReadcv::Mat cv::dicomJpgWrite(cv::Mat &, const std::vector &, const cv::String &)!image.empty() && image.isContinuous()dicomJpgWritechannels == 1 || channels == 3 || channels == 4Cannot find encoder for compression type: %dencoder->isFormatSupported(CV_8U)Dicom Encoder does not support writing compressed data into a filebool cv::imreadmulti(const cv::String &, std::vector &, int)bool cv::imreadmulti(const cv::String &, std::vector &, int, int, int)size_t cv::imcount(const cv::String &, int)bool cv::imwrite(const cv::String &, cv::InputArray, const std::vector &)imwrite!img_vec.empty()cv::Mat cv::imdecode(cv::InputArray, int)cv::Mat cv::imdecode(cv::InputArray, int, cv::Mat *)bool cv::imencode(const cv::String &, cv::InputArray, std::vector &, const std::vector &)imencodecould not find encoder for the specified extensionimread_(''): can't read header: unknown exception'): can't read header: '): can't read data: unknown exception'): can't read data: validateInputImageSizestatic_cast(size.width) <= CV_IO_MAX_IMAGE_WIDTHstatic_cast(size.height) <= CV_IO_MAX_IMAGE_HEIGHTpixels <= CV_IO_MAX_IMAGE_PIXELS|cv::Mat cv::dicomRawReadFromStream(cv::Mat &, const std::vector &, const cv::String &, const bool, const cv::String &)!buf.empty() && buf.isContinuous()dicomRawReadFromStreamfailed to write image data to temporary fileadaptIfSupportsOnlyFileunable to remove temporary file:cv::Mat cv::dicomJpgReadFromStream(cv::Mat &, int, int, const cv::String &)dicomJpgReadFromStreambool cv::imreadmulti_(const cv::String &, int, std::vector &, int, int)Start index cannont be < 0imreadmulti_('imcount_('could not find a writer for the specified extensionimwrite_image.channels() == 1 || image.channels() == 3 || image.channels() == 4params.size() <= CV_IO_MAX_IMAGE_PARAMS*2imwrite_(''): can't open file for writing: permission denied'): can't write data: unknown exception'): can't write data: imdecode_buf.isContinuous()buf.checkVector(1, CV_8U) > 0imdecode_(''): can't open/read file: check file path/integrityfindDecoder(size_t)valueInt == szvalidateToInt/Users/runner/work/opencv/opencv/modules/imgcodecs/src/utils.cppRaw image encoder error: throwOnEror/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_base.cppreadHeader/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_bmp.cppm_rle_code_ >= 0 && m_rle_code_ <= BMP_BITFIELDSclrused >= 0 && clrused <= 256((uint64)m_height * m_width * nch < (CV_BIG_UINT(1) << 30)) && "BMP reader implementation doesn't support large images >= 1Gb"readData(size_t)sz < _src.size()Invalid/unsupported modeWindows bitmap (*.bmp;*.dib)BM???JPEG files (*.jpg)ERROR: 12-bit data cannot be encoded with JPEG baseline syntax (1.2.840.10008.1.2.4.50) ERROR: 16-bit data must be encoded with syntax 1.2.840.10008.1.2.4.57 or 1.2.840.10008.1.2.4.70 WARN: Force to use signed data as defined in DICOM JPEG-2000 files (*.jp2)Encode JPEG-2000 data error: unsupported number of image channels => /Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_dcm_jpeg2000.cppwriteCreated by dcm4che/OpenJPEG version %s????Read JPEG-LS header error: /Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_dcm_jpegls.cppDecode JPEG-LS data error: JPEG-LS files (*.jls)Encode JPEG-LS data error: unsupported number of image channels => Encode JPEG-LS data error: Use readDicomHeader() instead!Use readDicomData() instead!YBR_FULLMONOCHROME2MONOCHROME1YBR_FULL_422YBR_PARTIAL_422YBR_PARTIAL_420Unsupported image type! bps . Image data size < buffer size: /Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_dcm_raw.cppreadDicomDataFileRaw::readHeader(): unknown exceptionFile Raw CV (*.wcv).CVRAW#?RGBE#?RADIANCERadiance HDR (*.hdr;*.pic)input_img.channels() == 3 || input_img.channels() == 1/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_hdr.cppparams.empty() || params[0] == HDR_NONE || params[0] == HDR_RLEJPEG files (*.jpeg;*.jpg;*.jpe)/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_jpeg2000_openjpeg.cppOpenJPEG2000: Component %d/%d is signedOpenJPEG2000: Component %d/%d is duplicate alpha channelOpenJPEG2000: precision > 64 is not supportedOpenJPEG2000: Precision < 8 not supportedOpenJPEG2000: Decoding is failedOpenJPEG2000: Unsupported number of output channels. IN: %d OUT: 2OpenJPEG2000: Image has unknown or unspecified color space, SRGB is assumedOpenJPEG2000: Unsupported color space conversion: %s -> %sgrayvirtual bool cv::detail::Jpeg2KOpjDecoderBase::readData(cv::Mat &)OpenJPEG2000: tiles are not supported(int)comp.dx(int)comp.dy(int)comp.x0(int)comp.y0(int)comp.wimg.cols(int)comp.himg.rowscomp.data && "OpenJPEG2000: missing component data (unsupported / broken input)"params.size() % 2 == 0OpenJPEG2000: only BGR(a) and gray (+ alpha) images supportedOpenJPEG2000: can not create imageOpenJPEG2000: can not create compression codecOpenJPEG2000: Can not setup encoderOpenJPEG2000: Can not create streamOpenJPEG2000: Can not start compressionOpenJPEG2000: Encoding failedOpenJPEG2000: Can not end compressionOpenJPEG2000: can not set error log handlersetupLogCallbacksOpenJPEG2000: can not set warning log handlerOpenJPEG2000: %serrorLogCallbackwarningLogCallbackOpenJPEG2000: unsupported conversion from %d components to %d for SRGB image decodingdecodeSRGBDataonly depth CV_8U and CV16_U are supportedcopyToMatOpenJPEG2000: unsupported conversion from %d components to %d for Grayscale image decodingdecodeGrayscaleDataOpenJPEG2000: unsupported conversion from %d components to %d for YUV image decodingdecodeSYCCDataInvalid colorspacecolorspaceNameOpenJPEG2000: output precision > 16 not supported: target depth %dOpenJPEG2000: image precision > 16 not supported. Got: %dOpenJPEG2000(encoder): skip unsupported parameter: setupEncoderParameterscopyFromMat/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_libeijg12.cppemitMessageIllegal CallJPEG with 16 bits/sample only allowed with lossless compression/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_libeijg16.cpp/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_libeijg8.cppMust read header first!/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_libijg12.cppVirtual Memory exhaustedBuffer for decompressed image (8 bits/sample) too smallIJG codec suspension returnCodec does not support this kind of color conversion/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_libijg16.cpp/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_libijg8.cpp/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_pam.cppPortable arbitrary format (*.pam)WIDTH %d HEIGHT %d DEPTH %d MAXVAL %d TUPLTYPE %s ParseIntisdigit(str[pos])number < INT_MAXbasic_conversionUnexpected file type (expected P)/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_pfm.cppUnexpected file type (expected `f` or `F`)Unexpected header format (expected line break)Unexpected status in data streamfabs(m_scale_factor) > 0.0fPortable image format - float (*.pfm)Expected 1 or 3 channel image.intc >= -128 && intc < 128read_number?PNG  readDataFromBuf/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_png.cppPNG input buffer is incomplete1.6.37Portable Network Graphics files (*.png)encoder && encoder->m_bufwriteDataToBuf/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_pxm.cppPXM::readHeader(): unknown C++ exceptionm_maxval < 256 && m_maxval > 0CV_MAT_DEPTH(m_type) == CV_8Um_bpp is not supportedPXM::readData(): unknown exceptionPortable image format - auto (*.pnm)Portable image format - monochrome (*.pbm)Portable image format - gray (*.pgm)Portable image format - color (*.ppm)PxMEncoderPortable bitmap(.pgm) expects gray imagePortable bitmap(.ppm) expects BGR imageFor portable bitmap(.pbm) type must be CV_8UC1P%c %d %d %d % 4d% 6dPXM: Unexpected code in ReadNumber(): 0x%x (%d)ReadNumberval <= INT_MAX && "PXM: ReadNumber(): result is too large"m_offset == 32 + m_maplength/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_sunras.cppSun raster files (*.sr;*.ras)Y?j?normalizeChannelsNumber/Users/runner/work/opencv/opencv/modules/imgcodecs/src/grfmt_tiff.cpprOpenCV TIFF(line ): failed TIFFGetField(tif, TIFFTAG_IMAGEWIDTH, &wdth)OpenCV TIFF: failed TIFFGetField(tif, TIFFTAG_IMAGEWIDTH, &wdth)): failed TIFFGetField(tif, TIFFTAG_IMAGELENGTH, &hght)OpenCV TIFF: failed TIFFGetField(tif, TIFFTAG_IMAGELENGTH, &hght)): failed TIFFGetField(tif, TIFFTAG_PHOTOMETRIC, &photometric)OpenCV TIFF: failed TIFFGetField(tif, TIFFTAG_PHOTOMETRIC, &photometric)Invalid bitsperpixel value read from TIFF header! Must be 1, 8, 16, 32 or 64.): failed TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT)virtual bool cv::TiffDecoder::readData(cv::Mat &)depth == CV_8U || depth == CV_16U || depth == CV_32F || depth == CV_64FOpenCV TIFF: TIFFRGBAImageOK: ): failed TIFFGetField(tif, TIFFTAG_TILEWIDTH, &tile_width0)OpenCV TIFF: failed TIFFGetField(tif, TIFFTAG_TILEWIDTH, &tile_width0)): failed TIFFGetField(tif, TIFFTAG_TILELENGTH, &tile_height0)OpenCV TIFF: failed TIFFGetField(tif, TIFFTAG_TILELENGTH, &tile_height0)(int)tile_width0 > 0 && (int)tile_width0 <= TILE_MAX_WIDTH(int)tile_height0 > 0 && (int)tile_height0 <= TILE_MAX_HEIGHT(int)ncn4(int)bpp64((uint64_t)tile_width0 * tile_height0 * ncn * std::max(1, (int)(bpp / bitsPerByte)) < MAX_TILE_SIZE) && "TIFF tile size is too large: >= 1Gb"ncn == img.channels()): failed TIFFSetField(tif, TIFFTAG_SAMPLEFORMAT, SAMPLEFORMAT_IEEEFP)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_SAMPLEFORMAT, SAMPLEFORMAT_IEEEFP)): failed TIFFReadRGBAStrip(tif, y, (uint32*)buffer)OpenCV TIFF: failed TIFFReadRGBAStrip(tif, y, (uint32*)buffer)): failed TIFFReadRGBATile(tif, x, y, (uint32*)buffer)OpenCV TIFF: failed TIFFReadRGBATile(tif, x, y, (uint32*)buffer)TIFF-8bpp: BGR/BGRA images are supported onlywanted_channels3): failed (int)TIFFReadEncodedStrip(tif, tileidx, (uint32*)buffer, buffer_size) >= 0OpenCV TIFF: failed (int)TIFFReadEncodedStrip(tif, tileidx, (uint32*)buffer, buffer_size) >= 0): failed (int)TIFFReadEncodedTile(tif, tileidx, (uint32*)buffer, buffer_size) >= 0OpenCV TIFF: failed (int)TIFFReadEncodedTile(tif, tileidx, (uint32*)buffer, buffer_size) >= 0TIFF-16bpp: BGR/BGRA images are supported only): failed (int)TIFFReadEncodedStrip(tif, tileidx, buffer, buffer_size) >= 0OpenCV TIFF: failed (int)TIFFReadEncodedStrip(tif, tileidx, buffer, buffer_size) >= 0): failed (int)TIFFReadEncodedTile(tif, tileidx, buffer, buffer_size) >= 0OpenCV TIFF: failed (int)TIFFReadEncodedTile(tif, tileidx, buffer, buffer_size) >= 00 && "OpenCV TIFF: unsupported depth"photometric == PHOTOMETRIC_LOGLUVTIFF Files (*.tiff;*.tif)writeLibTiffbool cv::TiffEncoder::writeLibTiff(const std::vector &, const std::vector &)channels >= 1 && channels <= 4): failed TIFFSetField(tif, TIFFTAG_IMAGEWIDTH, width)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_IMAGEWIDTH, width)): failed TIFFSetField(tif, TIFFTAG_IMAGELENGTH, height)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_IMAGELENGTH, height)): failed TIFFSetField(tif, TIFFTAG_SUBFILETYPE, FILETYPE_PAGE)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_SUBFILETYPE, FILETYPE_PAGE)): failed TIFFSetField(tif, TIFFTAG_PAGENUMBER, page, img_vec.size())OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_PAGENUMBER, page, img_vec.size())): failed TIFFSetField(tif, TIFFTAG_BITSPERSAMPLE, bitsPerChannel)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_BITSPERSAMPLE, bitsPerChannel)): failed TIFFSetField(tif, TIFFTAG_COMPRESSION, page_compression)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_COMPRESSION, page_compression)): failed TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, colorspace)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, colorspace)): failed TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, channels)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, channels)): failed TIFFSetField(tif, TIFFTAG_PLANARCONFIG, PLANARCONFIG_CONTIG)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_PLANARCONFIG, PLANARCONFIG_CONTIG)): failed TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, rowsPerStrip)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, rowsPerStrip)): failed TIFFSetField(tif, TIFFTAG_SAMPLEFORMAT, depth >= CV_32F ? SAMPLEFORMAT_IEEEFP : SAMPLEFORMAT_UINT)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_SAMPLEFORMAT, depth >= CV_32F ? SAMPLEFORMAT_IEEEFP : SAMPLEFORMAT_UINT)): failed TIFFSetField(tif, TIFFTAG_PREDICTOR, predictor)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_PREDICTOR, predictor)): failed TIFFSetField(tif, TIFFTAG_RESOLUTIONUNIT, resUnit)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_RESOLUTIONUNIT, resUnit)): failed TIFFSetField(tif, TIFFTAG_XRESOLUTION, (float)dpiX)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_XRESOLUTION, (float)dpiX)): failed TIFFSetField(tif, TIFFTAG_YRESOLUTION, (float)dpiY)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_YRESOLUTION, (float)dpiY)): failed TIFFWriteScanline(tif, buffer, y, 0) == 1OpenCV TIFF: failed TIFFWriteScanline(tif, buffer, y, 0) == 1): failed TIFFWriteDirectory(tif)OpenCV TIFF: failed TIFFWriteDirectory(tif)write_32FC3_SGILOG): failed TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, 3)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_SAMPLESPERPIXEL, 3)): failed TIFFSetField(tif, TIFFTAG_BITSPERSAMPLE, 32)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_BITSPERSAMPLE, 32)): failed TIFFSetField(tif, TIFFTAG_COMPRESSION, COMPRESSION_SGILOG)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_COMPRESSION, COMPRESSION_SGILOG)): failed TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, PHOTOMETRIC_LOGLUV)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_PHOTOMETRIC, PHOTOMETRIC_LOGLUV)): failed TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, 1)OpenCV TIFF: failed TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, 1)): failed TIFFWriteEncodedStrip(tif, i, (tdata_t)img.ptr(i), strip_size * sizeof(float)) != (tsize_t)-1OpenCV TIFF: failed TIFFWriteEncodedStrip(tif, i, (tdata_t)img.ptr(i), strip_size * sizeof(float)) != (tsize_t)-1virtual bool cv::TiffEncoder::write(const cv::Mat &, const std::vector &)OpenCV TIFF: %s: Warning, . Unexpected end of input stream/Users/runner/work/opencv/opencv/modules/imgcodecs/src/bitstrm.cppisOpened() && pos >= 0setPosgetPospos >= m_block_posskipgetBytegetByteswriteBlockdata && m_current && count >= 0putBytesRADIANCE#?%s GAMMA=%g EXPOSURE=%g FORMAT=32-bit_rle_rgbe -Y %d +X %d GAMMA=%gEXPOSURE=%gmissing blank line after FORMAT specifiermissing FORMAT specifier-Y %d +X %dmissing image size specifierwrong scanline widthunable to allocate buffer spacebad scanline datargbe_error/Users/runner/work/opencv/opencv/modules/imgcodecs/src/rgbe.cppRGBE write errorRGBE bad file format: OpenCV version 2.1.2 (build opencv-4.5.5-libjpeg-turbo)Sorry, arithmetic coding is not implementedCopyright (C) 1991-2021 The libjpeg-turbo Project and many othersInvalid crop requestArithmetic table 0x%02x was not definedCorrupt JPEG data: bad arithmetic codeCorrupt JPEG data: bad ICC markerComponent index %d: mismatching sampling ratio %d:%d, %d:%d, %c%ld%cPotential overflow in png_zalloc()Application built with libpng- but running with Ignoring invalid time valueunexpected zlib return codeunexpected end of LZ streammissing LZ dictionaryzlib IO errorbad parameters to zlibdamaged LZ streaminsufficient memorytruncatedunsupported zlib versionunexpected zlib returngamma value out of rangeduplicateinvalid chromaticitiesinternal error checking chromaticitiessRGBinvalid sRGB rendering intentinconsistent rendering intentsduplicate sRGB information ignoredcHRM chunk does not match sRGBexceeds application limitslength does not match profileinvalid lengthtag count too largeinvalid rendering intentintent outside defined rangeinvalid signaturePCS illuminant is not D50RGB color space not permitted on grayscale PNGGray color space not permitted on RGB PNGinvalid ICC profile color spaceinvalid embedded Abstract ICC profileunexpected DeviceLink ICC profile classunexpected NamedColor ICC profile classunrecognized ICC profile classunexpected ICC PCS encodingICC profile tag outside profileICC profile tag start not a multiple of 4internal error handling cHRM coefficientsinternal error handling cHRM->XYZImage width is zero in IHDRInvalid image width in IHDRImage width exceeds user limit in IHDRImage height is zero in IHDRInvalid image height in IHDRImage height exceeds user limit in IHDRInvalid bit depth in IHDRInvalid color type in IHDRInvalid color type/bit depth combination in IHDRUnknown interlace method in IHDRUnknown compression method in IHDRMNG features are not allowed in a PNG datastreamUnknown filter method in IHDRInvalid filter method in IHDRInvalid IHDR datagamma table being rebuiltgamma value does not match sRGBgamma value does not match libpng estimateinconsistent chromaticitiesprofile 'h: too shortknown incorrect sRGB profileout-of-date sRGB profile with no signatureNot recognizing known sRGB profile that has been edited0123456789ABCDEF123456789fixed point overflow in Libpng jmp_buf still allocatedApplication jmp_buf size changedlibpng error: %sundefinedlibpng warning: %sinternal error: array allocinternal error: array reallocMissing IHDR before IDATMissing PLTE before IDATToo many IDATs foundpng_read_update_info/png_start_read_image: duplicate callpng_start_read_image/png_read_update_info: duplicate callInvalid attempt to read row databad adaptive filter valuesequential row overflowinternal sequential row size calculation errorInterlace handling should be turned on when using png_read_imageRead palette index exceeding num_palette.Too many IDATs found..Too many IDATs foundCall to NULL read functionRead ErrorCan't set both read_data_fn and write_data_fn in the same structureinvalid error action to rgb_to_grayignoring out of range rgb_to_gray coefficientsrgb to gray red coefficientrgb to gray green coefficientlibpng does not support gamma+background+rgb_to_grayinvalid background gamma typePalette is NULL in indexed imageNULL row bufferUninitialized rowpng_do_rgb_to_gray found nongray pixelpng_do_quantize returned rowbytes=0invalid after png_start_read_image or png_read_update_infoinvalid before the PNG header has been readpng_do_encode_alpha: unexpected callPNG unsigned integer out of rangeNot a PNG filePNG file corrupted by ASCII conversionCRC errorinvalid window size (libpng)out of placeinvalidmissing IHDRignored in grayscale PNGtRNS must be afterhIST must be afterbKGD must be afterinvalid valuestoo many profilesextra compressed databad compression methodbad keywordNo space in chunk cache for sPLTmalformed sPLT chunksPLT chunk has bad lengthsPLT chunk requires too much memoryinvalid with alpha channelinvalid indexinvalid gray levelinvalid colorincorrect byte-order specifierinvalid parameter countunrecognized equation typeinvalid datainvalid unitbad width formatnon-positive widthbad height formatnon-positive heightno space in chunk cacheInsufficient memory to process text chunkunknown compression typeRead failure in png_handle_zTXtbad compression infoerror in user chunkSaving unknown chunk:forcing save of an unhandled chunk; please call png_set_keep_unknown_chunksunhandled critical chunkinvalid chunk typechunk data is too largeinternal row logic errorinternal row size calculation errorinternal row width errorinvalid user transform pixel depthNot enough image dataExtra compressed dataToo much image dataRow has too many bytes to allocate in memory using zstreamzstream unclaimedinsufficient memory to read chunkunknown chunk exceeds memory limitsInsufficient memory for eXIf chunk dataInvalid palette size, hIST allocation skippedInsufficient memory for hIST chunk dataInvalid pCAL equation typeInvalid pCAL parameter countInvalid format for pCAL parameterInsufficient memory for pCAL purposeInsufficient memory for pCAL unitsInsufficient memory for pCAL paramsInsufficient memory for pCAL parameterInvalid sCAL unitInvalid sCAL widthInvalid sCAL heightMemory allocation failed while processing sCALInvalid palette lengthInvalid palettetoo many text chunkstext compression mode is out of rangetext chunk: out of memorytRNS chunk has out-of-range samples for bit_depthtoo many sPLT chunkspng_set_sPLT: invalid sPLTsPLT out of memorytoo many unknown chunksunknown chunk: out of memorykeyword truncatedkeyword "@1": bad character '0x@2'png_set_unknown_chunks now expects a valid locationinvalid location in png_set_unknown_chunksCall to NULL write functionWrite Errorprofile matches sRGB but writing iCCP insteadValid palette required for paletted imagesNo IDATs written into fileWrote palette index exceeding num_palettepng_write_info was never called before png_write_rowinternal write transform logic errorUnknown row filter for method 0png_set_filter: UP/AVG/PAETH cannot be added after startUnknown custom filter methodWriting zero-length unknown chunkInvalid bit depth for grayscale imageInvalid bit depth for RGB imageInvalid bit depth for paletted imageInvalid bit depth for grayscale+alpha imageInvalid bit depth for RGBA imageInvalid image color type specifiedInvalid compression type specifiedInvalid filter type specifiedInvalid interlace type specifiedInvalid number of colors in paletteIgnoring request to write a PLTE chunk in grayscale PNGZ_OK on Z_FINISH with output spaceInvalid sRGB rendering intent specifiedNo profile for iCCP chunkICC profile too shortICC profile length invalid (not a multiple of 4)iCCP: invalid keywordsPLT: invalid keywordInvalid sBIT depth specifiedInvalid number of transparent colors specifiedIgnoring attempt to write tRNS chunk out-of-range for bit_depthIgnoring attempt to write 16-bit tRNS chunk when bit_depth is 8Can't write tRNS with an alpha channelInvalid background palette indexIgnoring attempt to write 16-bit bKGD chunk when bit_depth is 8Ignoring attempt to write bKGD chunk out-of-range for bit_depthInvalid number of histogram entries specifiedtEXt: invalid keywordtEXt: text too longzTXt: invalid compression typezTXt: invalid keywordiTXt: invalid keywordiTXt: invalid compressioniTXt: uncompressed text too longUnrecognized unit type for oFFs chunkUnrecognized equation type for pCAL chunkpCAL: invalid keywordCan't write sCAL (buffer too small)Unrecognized unit type for pHYs chunkInvalid time specified for tIME chunklength exceeds PNG maximumin use by IDATdeflateEnd failed (ignored)compressed data too longerror writing ancillary chunked compressed dataInteger overflow in %sInvalid argument to _TIFFMultiplySSize() in %sInteger overflowCannot get "Predictor" tag as plugin is not configuredNo space for "TransferFunction" tagTag NoneLZWPackBitsThunderScanNeXTJPEGOld-style JPEGCCITT RLECCITT RLE/WCCITT Group 3CCITT Group 4ISO JBIGDeflateAdobeDeflatePixarLogSGILogSGILog24LZMAZSTDWEBP%s compression support is not configuredscanlineCompression algorithm does not support random access%s %s encoding is not implementedCompression scheme %u %s encoding is not implemented%s %s decoding is not implementedCompression scheme %u %s decoding is not implementedError writing directory linkTIFFSetField%s: Unknown %stag %upseudo-%s: Cannot modify tag "%s" while writingSamplesPerPixel tag value is changing, but SMinSampleValue tag was read with a different value. Canceling itSamplesPerPixel tag value is changing, but SMaxSampleValue tag was read with a different value. Canceling itSamplesPerPixel tag value is changing, but TransferFunction was read with a different value. Canceling itNonstandard tile width %u, convert fileNonstandard tile length %u, convert file%s: Sorry, cannot nest SubIFDs%s: Invalid %stag "%s" (not supported by codec)%s: Failed to allocate space for list of custom values%s: Bad field type %d for "%s"%s: Null count for "%s" (type %d, writecount %d, passcount %d)custom tag binary objectDotRangeTIFFLib: _TIFFVSetField()Rational2Double: .set_field_type in not 4 but %d%s: Bad value %u for "%s" tagUnknown%s: Bad value %f for "%s" tagExtraSamples tag value is changing, but TransferFunction was read with a different value. Canceling it%s: Invalid InkNames value; expecting %d names, found %d_TIFFVGetFieldTruncating NumberOfInks from %u to %uTIFFLib: _TIFFVGetField()Error fetching directory countError fetching directory link_TIFFSetupFieldsSetting up field info failedFailed to allocate fields arrayTIFFFieldWithTagInternal error, unknown tag 0x%xTag %dSubfileTypeOldSubfileTypeImageWidthBitsPerSamplePhotometricInterpretationThreshholdingCellWidthCellLengthFillOrderDocumentNameImageDescriptionMakeModelOrientationSamplesPerPixelRowsPerStripMinSampleValueMaxSampleValueXResolutionYResolutionPlanarConfigurationPageNameXPositionYPositionFreeOffsetsFreeByteCountsGrayResponseUnitGrayResponseCurveResolutionUnitPageNumberColorResponseUnitTransferFunctionSoftwareDateTimeArtistHostComputerWhitePointPrimaryChromaticitiesColorMapHalftoneHintsTileWidthTileLengthTileByteCountsSubIFDInkNamesNumberOfInksTargetPrinterExtraSamplesSampleFormatSMinSampleValueSMaxSampleValueClipPathXClipPathUnitsYClipPathUnitsYCbCrCoefficientsYCbCrSubsamplingYCbCrPositioningReferenceBlackWhiteXMLPacketMatteingDataTypeImageDepthTileDepthImageFullWidthImageFullLengthTextureFormatTextureWrapModesFieldOfViewCotangentMatrixWorldToScreenMatrixWorldToCameraCFARepeatPatternDimCFAPatternCopyrightRichTIFFIPTCPhotoshopEXIFIFDOffsetICC ProfileGPSIFDOffsetFaxRecvParamsFaxSubAddressFaxRecvTimeFaxDcsStoNitsInteroperabilityIFDOffsetDNGVersionDNGBackwardVersionUniqueCameraModelLocalizedCameraModelCFAPlaneColorCFALayoutLinearizationTableBlackLevelRepeatDimBlackLevelBlackLevelDeltaHBlackLevelDeltaVWhiteLevelDefaultScaleBestQualityScaleDefaultCropOriginDefaultCropSizeColorMatrix1ColorMatrix2CameraCalibration1CameraCalibration2ReductionMatrix1ReductionMatrix2AnalogBalanceAsShotNeutralAsShotWhiteXYBaselineExposureBaselineNoiseBaselineSharpnessBayerGreenSplitLinearResponseLimitCameraSerialNumberLensInfoChromaBlurRadiusAntiAliasStrengthShadowScaleDNGPrivateDataMakerNoteSafetyCalibrationIlluminant1CalibrationIlluminant2RawDataUniqueIDOriginalRawFileNameOriginalRawFileDataActiveAreaMaskedAreasAsShotICCProfileAsShotPreProfileMatrixCurrentICCProfileCurrentPreProfileMatrixPerSampleIndexedGlobalParametersIFDProfileTypeFaxProfileCodingMethodsVersionYearModeNumberDecodeImageBaseColorT82OptionsStripRowCountsImageLayerExposureTimeFNumberExposureProgramSpectralSensitivityISOSpeedRatingsOptoelectricConversionFactorSensitivityTypeStandardOutputSensitivityRecommendedExposureIndexISOSpeedISOSpeedLatitudeyyyISOSpeedLatitudezzzExifVersionDateTimeOriginalDateTimeDigitizedOffsetTimeOffsetTimeOriginalOffsetTimeDigitizedComponentsConfigurationCompressedBitsPerPixelShutterSpeedValueApertureValueBrightnessValueExposureBiasValueMaxApertureValueMeteringModeLightSourceFlashFocalLengthSubjectAreaMakerNoteUserCommentSubSecTimeSubSecTimeOriginalSubSecTimeDigitizedTemperatureHumidityPressureWaterDepthAccelerationCameraElevationAngleFlashpixVersionColorSpacePixelXDimensionPixelYDimensionRelatedSoundFileFlashEnergySpatialFrequencyResponseFocalPlaneXResolutionFocalPlaneYResolutionFocalPlaneResolutionUnitSubjectLocationExposureIndexSensingMethodFileSourceSceneTypeCustomRenderedExposureModeWhiteBalanceDigitalZoomRatioFocalLengthIn35mmFilmSceneCaptureTypeGainControlContrastSaturationSharpnessDeviceSettingDescriptionSubjectDistanceRangeImageUniqueIDCameraOwnerNameBodySerialNumberLensSpecificationLensMakeLensModelLensSerialNumberGammaCompositeImageSourceImageNumberOfCompositeImageSourceExposureTimesOfCompositeImageVersionIDLatitudeRefLatitudeLongitudeRefLongitudeAltitudeRefAltitudeTimeStampSatellitesStatusMeasureModeDOPSpeedRefSpeedTrackRefTrackImgDirectionRefImgDirectionMapDatumDestLatitudeRefDestLatitudeDestLongitudeRefDestLongitudeDestBearingRefDestBearingDestDistanceRefDestDistanceProcessingMethodAreaInformationDateStampDifferentialHorizontalPositioningErrorFailed to read directory at offset %luUnknown field with tag %d (0x%x) encounteredRegistering anonymous field with tag %d (0x%x) failedPlanarconfig tag value assumed incorrect, assuming data is contig instead of chunkyImageLengthCannot handle zero number of %stilesstripsTileOffsetsStripOffsetsunknown tagnameInvalid data type for tag %sIgnoring %s since BitsPerSample tag not foundIgnoring %s because BitsPerSample=%d>24Photometric tag is missing, assuming data is YCbCrPhotometric tag value assumed incorrect, assuming data is YCbCr instead of RGBBitsPerSample tag is missing, assuming 8 bits per sampleSamplesPerPixel tag is missing, assuming correct SamplesPerPixel value is 3SamplesPerPixel tag is missing, applying correct SamplesPerPixel value of 3Sum of Photometric type-related color channels and ExtraSamples doesn't match SamplesPerPixel. Defining non-color channels as ExtraSamples.Failed to allocate memory for temporary new sampleinfo array (%d 16 bit elements)ColormapStripByteCountsTIFF directory is missing required "StripByteCounts" field, calculating from imagelengthBogus "StripByteCounts" field, ignoring and calculating from imagelengthWrong "StripByteCounts" field, ignoring and calculating from imagelengthCannot handle zero scanline sizeCannot handle zero tile sizeCannot handle zero strip sizeIncorrect count for "%s"Incompatible type for "%s"IO error during reading of "%s"Incorrect value for "%s"Cannot handle different values per sample for "%s"Sanity check on size of "%s" value failedOut of memory reading of "%s"Incorrect count for "%s"; tag ignoredIncompatible type for "%s"; tag ignoredIO error during reading of "%s"; tag ignoredIncorrect value for "%s"; tag ignoredCannot handle different values per sample for "%s"; tag ignoredSanity check on size of "%s" value failed; tag ignoredOut of memory reading of "%s"; tag ignoredReadDirEntryArrayFailed to allocate memory for %s (%ld elements of %ld bytes each)TIFFReadDirEntryArrayInvalid TIFF directory; tags are not sorted in ascending orderfor "StripByteCounts" arrayCannot determine size of unknown tag type %dTIFF directory is missing required "%s" fieldTIFFCheckDirOffsetCannot handle more than 65535 TIFF directoriesfor IFD list%s: Seek error accessing TIFF directory%s: Can not read TIFF directory countSanity check on directory count failed, this is probably not a valid IFD offsetto read TIFF directory%.100s: Can not read TIFF directoryCan not read TIFF directory countSanity check on directory count failed, zero tag directories not supportedCan not read TIFF directoryNo definition found for tag %dASCII value for tag "%s" contains null byte in value; value incorrectly truncated during reading due to implementation limitationsASCII value for tag "%s" does not end in null byteincorrect count for field "%s", expected 2, got %dincorrect count for field "%s", expected %d, got %dASCII value for tag "%s" does not end in null byte. Forcing it to be nullLIBTIFF_STRILE_ARRAY_MAX_RESIZE_COUNTfor strip arraySubjectDistancefor chopped "StripByteCounts" arrayfor chopped "StripOffsets" arrayFile too shortCannot allocate strip offset and bytecount arraysInvalid type for [Strip|Tile][Offset/ByteCount] tagCannot read offset/size for strile %dCannot read offset/size for strile around ~%dFile opened in read-only modeError updating TIFF headerSanity check on tag count failed, likely corrupt TIFFMemory mapped files not currently supported for this operation.Attempt to reset field on directory not already on disk.%s: Can not read TIFF directory entry.%s: Could not find tag %d.for field buffer.Value exceeds 32bit range of output type.Value exceeds 16bit range of output type.Unhandled type conversion.%s: Can not write TIFF directory entry.Error post-encoding before directory writeError flushing data before directory writeCannot write tag %d (%s)TIFFLib: _TIFFWriteDirectorySec()Maximum TIFF file size exceededCannot find SubIFD tagIO error writing directoryIO error writing tag dataNegative value is illegalNot-a-number value is illegalTIFFLib: DoubleToRational() Negative Value for Unsigned Rational given. Num or Denom exceeds ULONG: val=%14.6f, num=%12llu, denom=%12llu | num2=%12llu, denom2=%12lluAttempt to write value larger than 0xFFFFFFFF in LONG array.Attempt to write value larger than 0xFFFF in SHORT array.TIFFWriteDirectoryTagCheckedLong8ArrayLONG8 not allowed for ClassicTIFFIllegal value for SubIFD tagTIFFWriteDirectoryTagCheckedSlong8ArraySLONG8 not allowed for ClassicTIFFTIFFLib: DoubleToSrational() Num or Denom exceeds LONG: val=%14.6f, num=%12llu, denom=%12llu | num2=%12llu, denom2=%12lluAttempt to write value larger than 0xFFFFFFFF in Classic TIFF file.Error writing SubIFD directory linkNot enough data for scanline %lu, expected a request for at most %lld bytes, got a request for %lld bytesTIFFInitCCITTFax3Merging CCITT Fax 3 codec-specific tags failedTIFFInitCCITTFax4Merging CCITT Fax 4 codec-specific tags failedMerging common CCITT Fax codec-specific tags failedNo space for state blockFaxModeFaxFillFuncBadFaxLinesCleanFaxDataConsecutiveBadFaxLines Group 4 Options:%suncompressed data Group 3 Options:%s2-d encoding+%sEOL padding (%lu = 0x%lx) Fax Data: clean receiver regenerated uncorrected errors (%u = 0x%x) Bad Fax Lines: %lu Consecutive Bad Fax Lines: %lu Bits/sample must be 1 for Group 3/4 encoding/decodingInconsistent number of bytes per row : rowbytes=%lu rowpixels=%luRow pixels integer overflow (rowpixels %u)for Group 3/4 run arraysNo space for Group 3/4 reference lineFractional scanlines cannot be readBuffer overflow at line %u of %s %uBad code word at line %u of %s %u (x %u)Premature EOF at line %u of %s %u (x %u)%s at line %u of %s %u (got %u, expected %u)Premature EOLLine length mismatchUncompressed data (not supported) at line %u of %s %u (x %u)Fractional scanlines cannot be writtenGroup3OptionsGroup4OptionsBuffer overrun detected : %d bytes available, %d bits neededDirectory has not yet been writtenDirectory has changes other than the strile arrays. TIFFRewriteDirectory() should be called insteadFunction not called together with TIFFDeferStrileArrayWriting()Sorry, requested compression method is not configuredSorry, can not handle images with %d-bit samplesSorry, can not handle images with IEEE floating-point samplesMissing needed %s tagSorry, can not handle contiguous data with %s=%d, and %s=%d and Bits/Sample=%dSamples/pixelSorry, can not handle RGB image with %s=%dColor channelsSorry, can not handle separated image with %s=%dInkSetSorry, LogL data must have %s=%dCompressionSorry, LogLuv data must have %s=%d or %dSorry, can not handle LogLuv images with %s=%dPlanarconfigurationSorry, can not handle image with %s=%d, %s=%dcolorchannelsSorry, can not handle image with %s=%d, %s=%d and %s=%dBits/sampleSorry, can not handle image with %s=%dMissing required "Colormap" tagOut of memory for colormap copySorry, can not handle imageNo "get" routine setupNo "put" routine setupl; probably can not handle image formatCan't use TIFFReadRGBAStrip() with tiled file.Row passed to TIFFReadRGBAStrip() must be first in a strip.Can't use TIFFReadRGBATile() with striped file.Row/col passed to TIFFReadRGBATile() must be topleft corner of a tile.No space for tile bufferunsupported tile size (too wide)Invalid vertical YCbCr subsamplingWidth overflowInteger overflow in gtStripContigOut of memoryAssuming 8-bit colormapNo space for photometric conversion tableNo space for B&W mapping tableNo space for Palette mapping tableNo space for YCbCr->RGB conversion stateInvalid values for YCbCrCoefficients tagInvalid values for ReferenceBlackWhite tagInvalid value for WhitePoint tag.No space for CIE L*a*b*->RGB conversion state.Failed to initialize CIE L*a*b*->RGB conversion state.gtTileSeparategtStripSeparateInteger overflow in gtStripSeparateTIFFInitJPEGMerging JPEG codec-specific tags failedNo space for JPEG state blockFailed to allocate memory for JPEG tablesJPEGLibJPEGTables JPEG Tables: (%lu bytes) Unable to allocate memory for auto-correcting of subsampling values; auto-correcting skippedUnable to auto-correct subsampling values, likely corrupt JPEG compressed data in first strip/tile; auto-correcting skippedSubsampling values inside JPEG compressed data have no TIFF equivalent, auto-correction of TIFF subsampling values failedAuto-corrected former TIFF subsampling values [%d,%d] to match subsampling values inside JPEG compressed data [%d,%d]JPEGSetupDecodeBogus JPEGTables fieldJPEGMEMImproper JPEG strip/tile size, expected %dx%d, got %dx%dJPEG strip size exceeds expected dimensions, expected %dx%d, got %dx%dJPEG strip/tile size exceeds expected dimensions, expected %dx%d, got %dx%dImproper JPEG component countImproper JPEG data precisionLIBTIFF_ALLOW_LARGE_LIBJPEG_MEM_ALLOCReading this image would require libjpeg to allocate at least %u bytes. This is disabled since above the %u threshold. You may override this restriction by defining the LIBTIFF_ALLOW_LARGE_LIBJPEG_MEM_ALLOC environment variable, or setting the JPEGMEM environment variable to a value greater or equal to '%uM'Improper JPEG sampling factors %d,%d Apparently should be %d,%d.Improper JPEG sampling factorsTIFFReadScanlinescanline oriented access is not supported for downsampled JPEG compressed images, consider enabling TIFF_JPEGCOLORMODE as JPEGCOLORMODE_RGB.JPEGDecodeRawapplication buffer not large enough for all data.application buffer not large enough for all data, possible subsampling issueLIBTIFF_JPEG_MAX_ALLOWED_SCAN_NUMBERTIFFjpeg_progress_monitorScan number %d exceeds maximum scans (%d). This limit can be raised through the LIBTIFF_JPEG_MAX_ALLOWED_SCAN_NUMBER environment variable.fractional scanline not readInvalig horizontal/vertical sampling valueBitsPerSample %d not allowed for JPEGPhotometricInterpretation %d not allowed for JPEGJPEG tile height must be multiple of %dJPEG tile width must be multiple of %dRowsPerStrip must be multiple of %d for JPEGTIFFjpeg_tables_destNo space for JPEGTablesStrip/tile too large for JPEGfractional scanline discardedJPEGEncodeFailed to allocate memoryMerging SGILog codec-specific tags failed%s: No space for LogLuv state blockSGILogDataFmtSGILogEncodeInappropriate photometric interpretation %d for SGILog compression; %smust be either LogLUV or LogLSGILog compression cannot handle non-contiguous dataNo support for converting user data format to LogLuvNo space for SGILog translation bufferTranslation buffer too shortNot enough data at row %lu (short %llu pixels)Sorry, can not handle LogL image with %s=%dNo support for converting user data format to LogLSGILog compression supported only for %s, or raw dataY, LXYZ, LuvUnknown data format %d for LogLuv compressionUnknown encoding %d for LogLuv compressionNo space for LZW state blockNo space for LZW code tableOld-style LZW codes, convert fileLZWDecode: Strip %d not terminated with EOI codeLZWDecode: Corrupted LZW table at scanline %dCorrupted LZW table at scanline %dWrong length of decoded string: data probably corrupted at scanline %dNot enough data at scanline %d (short %llu bytes)Bogus encoding, loop in the code table; scanline %dNo space for LZW hash tableUnsupported BitsPerSample = %dInvalid data for scanline %ldNot enough data for scanline %ld"%s": Bad mode%s: Out of memory (TIFF structure)One of the client procedures is NULL pointer.Cannot read TIFF headerError writing TIFF headerNot a TIFF or MDI file, bad magic number %d (0x%x)Not a TIFF file, bad version number %d (0x%x)Not a TIFF file, bad BigTIFF offsetsize %d (0x%x)Not a TIFF file, bad BigTIFF unused %d (0x%x)Discarding %lu bytes to avoid buffer overrunTerminating PackBitsDecode due to lack of data.Not enough data for scanline %luTIFFPredictorInitMerging Predictor codec-specific tags failedPredictor Predictor: none horizontal differencing floating point predictor %d (0x%x) Horizontal differencing "Predictor" not supported with %d-bit samplesFloating point "Predictor" not supported with %d data formatFloating point "Predictor" not supported with %d-bit samples"Predictor" value %d not supportedhorAcc8(cc%stride)!=0horAcc16cc%(2*stride))!=0horAcc32cc%(4*stride))!=0PredictorDecodeTileocc0%rowsize != 0fpAcccc%(bps*stride))!=0horDiff8(cc%(2*stride))!=0horDiff32(cc%(4*stride))!=0Out of memory allocating %ld byte temp buffer.(cc0%rowsize)!=0fpDiff(cc%(bps*stride))!=0No space for strip buffer%lu: Strip out of range, max %luInvalid strip byte count %llu, strip %luRead error on strip %lu; got %llu bytes, expected %lluData buffer too small to hold strip %lu%lu: Tile out of range, max %lu%llu: Invalid tile byte count, tile %luData buffer too small to hold tile %luInvalid buffer sizeNo space for data buffer at scanline %luFile not open for reading%lu: Row out of range, max %lu%lu: Sample out of range, max %luSeek error at scanline %lu, strip %luChunk size requested is larger than file size.Read error at scanline %lu; got %llu bytes, expected %lluRead error at row %lu, col %lu, tile %lu; got %llu bytes, expected %lluRead error at scanline %lu, strip %lu; got %llu bytes, expected %lluSeek error at row %lu, col %lu, tile %luRead error at row %lu, col %lu; got %llu bytes, expected %lluZero tilesCan not read tiles from a striped imageCan not read scanlines from a tiled imageTIFFNumberOfStripsInvalid td_samplesperpixel valueInvalid YCbCr subsampling (%dx%d)Invalid YCbCr subsamplingComputed scanline size is zeroWrong bitspersample value (%d), Thunder decoder only supports 4bits per sample.%s data at scanline %lu (%llu != %llu)Not enoughToo much%lu: Col out of range, max %lu%lu: Depth out of range, max %luTIFFNumberOfTilesTile length is zeroTile width is zeroSamples per pixel is zeroComputed tile row size is zeroCan not change "ImageLength" when using separate planesZero strips per imageCan not grow image by strips when using separate planesTIFFSetupStripsToo large Strip/Tile Offsets/ByteCounts arraysfor "StripOffsets" arrayFile not open for writingCan not write tiles to a striped imageCan not write scanlines to a tiled imageMust set "ImageWidth" before writing dataMust set "PlanarConfiguration" before writing dataNo space for %s arraystilestripNo space for output bufferNo space to expand strip arraysSeek error at scanline %luWrite error at scanline %luMerging Deflate codec-specific tags failedNo space for ZIP state blockInvalid ZipQuality value. Should be in [-1,%d] rangeZLib error: %sInvalid DeflateCodec value.DeflateCodec = DEFLATE_SUBCODEC_LIBDEFLATE unsupported in this buildDecoding error at scanline %lu, %sNot enough data at scanline %lu (short %lu bytes)Encoder error: %s%s: %s%s: Cannot openout of memory%s%s%sunexpected end of fileinternal error: inflate stream corruptcompressed data error1.2.11internal error: deflate stream corruptincorrect header checkunknown compression methodinvalid window sizeunknown header flags setheader crc mismatchinvalid block typeinvalid stored block lengthstoo many length or distance symbolsinvalid code lengths setinvalid bit length repeatinvalid code -- missing end-of-blockinvalid literal/lengths setinvalid distances setinvalid literal/length codeinvalid distance codeinvalid distance too far backincorrect data checkincorrect length checkneed dictionarystream endfile errorstream errordata errorbuffer errorincompatible versionStream reached its end ! Error on writing stream! Stream error! We do not support ROI in decoding HT codeblocks A malformed codeblock that has more than one coding pass, but zero length for 2nd and potentially the 3rd pass in an HT codeblock. We do not support more than 3 coding passes in an HT codeblock; This codeblocks has %d passes. 32 bits are not enough to decode this codeblock, since the number of bitplane, %d, is larger than 30. Malformed HT codeblock. Decoding this codeblock is stopped. There are %d zero bitplanes in %d bitplanes. Malformed HT codeblock. When the number of zero planes bitplanes is equal to the number of bitplanes, only the cleanup pass makes sense, but we have %d passes in this codeblock. Therefore, only the cleanup pass will be decoded. This message will not be displayed again. Malformed HT codeblock. Invalid codeblock length values. Malformed HT codeblock. One of the following condition is not met: 2 <= Scup <= min(Lcup, 4079) Malformed HT codeblock. Decoding this codeblock is stopped. U_q is larger than zero bitplanes + 1 Malformed HT codeblock. VLC code produces significant samples outside the codeblock area. Malformed HT codeblock. Decoding this codeblock is stopped. U_q islarger than bitplanes + 1 Invalid number of resolutions : %d not in range [1,%d] Invalid value for cblockw_init: %d not a power of 2 in range [4,1024] Invalid value for cblockh_init: %d not a power of 2 not in range [4,1024] Invalid value for cblockw_init * cblockh_init: should be <= 4096 Deprecated fields cp_cinema or cp_rsiz are used Please consider using only the rsiz field See openjpeg.h documentation for more details tcp_rates[%d]=%f (corrected as %f) should be strictly lesser than tcp_rates[%d]=%f (corrected as %f) tcp_rates[%d]=%f (corrected as %f) should be strictly lesser than tcp_rates[%d]=%f tcp_rates[%d]=%f should be strictly lesser than tcp_rates[%d]=%f (corrected as %f) tcp_rates[%d]=%f should be strictly lesser than tcp_rates[%d]=%f tcp_distoratio[%d]=%f should be strictly greater than tcp_distoratio[%d]=%f The desired maximum codestream size has limited at least one of the desired quality layers JPEG 2000 Scalable Digital Cinema profiles not yet supported JPEG 2000 Long Term Storage profile not yet supported JPEG 2000 Broadcast profiles not yet supported JPEG 2000 Part-2 profile defined but no Part-2 extension enabled. Profile set to NONE. Unsupported Part-2 extension enabled Profile set to NONE. Not enough memory to allocate copy of user encoding parameters matrix Not enough memory to allocate copy of comment string Created by OpenJPEG version Not enough memory to allocate comment string %s%sInvalid tile width Invalid tile height Invalid number of tiles : %u x %u (maximum fixed by jpeg2000 norm is 65535 tiles) Not enough memory to allocate tile coding parameters Invalid compno0 for POC %d Not enough memory to allocate tile component coding parameters Not enough memory to allocate temp buffer Not enough memory to allocate encoder MCT coding matrix Not enough memory to allocate encoder MCT decoding matrix Failed to inverse encoder MCT decoding matrix Not enough memory to allocate encoder MCT norms Failed to setup j2k mct encoding Cannot perform MCT on components with different sizes. Disabling MCT. Stream too short Inconsistent marker size Marker is not compliant with its position Marker size inconsistent with stream length Not enough memory to read header Not sure how that happened. Fail to read the current marker segment (%#x) Not enough memory to add tl marker opj_j2k_apply_nb_tile_parts_correction error Non conformant codestream TPsot==TNsot. Tile %u has TPsot == 0 and TNsot == 0, but no other tile-parts were found. EOC is also missing. Failed to merge PPT data Cannot decode tile, memory error Header of tile %d / %d has been read. Failed to decode. Stream does not end with EOC Stream too short, expected SOT opj_read_header() should be called before opj_set_decoded_components(). Invalid component index: %u Component index %u used several times Need to decode the main header before begin to decode the remaining codestream. No decoded area parameters, set the decoded area to the whole image Left position of the decoded area (region_x0=%d) should be >= 0. Left position of the decoded area (region_x0=%d) is outside the image area (Xsiz=%d). Left position of the decoded area (region_x0=%d) is outside the image area (XOsiz=%d). Up position of the decoded area (region_y0=%d) should be >= 0. Up position of the decoded area (region_y0=%d) is outside the image area (Ysiz=%d). Up position of the decoded area (region_y0=%d) is outside the image area (YOsiz=%d). Right position of the decoded area (region_x1=%d) should be > 0. Right position of the decoded area (region_x1=%d) is outside the image area (XOsiz=%d). Right position of the decoded area (region_x1=%d) is outside the image area (Xsiz=%d). Bottom position of the decoded area (region_y1=%d) should be > 0. Bottom position of the decoded area (region_y1=%d) is outside the image area (YOsiz=%d). Bottom position of the decoded area (region_y1=%d) is outside the image area (Ysiz=%d). Setting decoding area to %d,%d,%d,%d Wrong flag [DEV] Dump an image_header struct { Image info { %s x0=%d, y0=%d %s x1=%d, y1=%d %s numcomps=%d %s component %d { %s} } [DEV] Dump an image_comp_header struct { %s dx=%d, dy=%d %s prec=%d %s sgnd=%d We need an image previously created. Image has less components than codestream. Tile index provided by the user is incorrect %d (max = %d) Resolution factor is greater than the maximum resolution in the component. PLT=PLT=YESPLT=NOInvalid value for option: %s. TLM=TLM=YESTLM=NOGUARD_BITS=Invalid value for option: %s. Should be in [0,7] Invalid option: %s. Error allocating tile component data.Not enough memory to encode all tiles Size mismatch between tile data and sent data.Failed to allocate image header.Error while opj_j2k_pre_write_tile with tile index = %d Error while opj_j2k_post_write_tile with tile index = %d OPJ_NUM_THREADSALL_CPUSJPEG 2000 Profile-3 and 4 (2k/4k dc profile) requires: 1 single quality layer-> Number of layers forced to 1 (rather than %d) -> Rate of the last layer (%3.1f) will be usedJPEG 2000 Profile-3 (2k dc profile) requires: Number of decomposition levels <= 5 -> Number of decomposition levels forced to 5 (rather than %d) JPEG 2000 Profile-4 (4k dc profile) requires: Number of decomposition levels >= 1 && <= 6 -> Number of decomposition levels forced to 1 (rather than %d) JPEG 2000 Profile-4 (4k dc profile) requires: Number of decomposition levels >= 1 && <= 6 -> Number of decomposition levels forced to 6 (rather than %d) JPEG 2000 Profile-3 and 4 (2k/4k dc profile) requires: Maximum 1302083 compressed bytes @ 24fps As no rate has been given, this limit will be used. JPEG 2000 Profile-3 and 4 (2k/4k dc profile) requires: Maximum 1302083 compressed bytes @ 24fps -> Specified rate exceeds this limit. Rate will be forced to 1302083 bytes. JPEG 2000 Profile-3 and 4 (2k/4k dc profile) requires: Maximum 1041666 compressed bytes @ 24fps As no rate has been given, this limit will be used. JPEG 2000 Profile-3 and 4 (2k/4k dc profile) requires: Maximum 1041666 compressed bytes @ 24fps -> Specified rate exceeds this limit. Rate will be forced to 1041666 bytes. JPEG 2000 Profile-3 (2k dc profile) requires: 3 components-> Number of components of input image (%d) is not compliant -> Non-profile-3 codestream will be generated JPEG 2000 Profile-3 (2k dc profile) requires: Precision of each component shall be 12 bits unsigned-> At least component %d of input image (%d bits, %s) is not compliant -> Non-profile-3 codestream will be generated JPEG 2000 Profile-3 (2k dc profile) requires: width <= 2048 and height <= 1080 -> Input image size %d x %d is not compliant -> Non-profile-3 codestream will be generated JPEG 2000 Profile-4 (4k dc profile) requires: width <= 4096 and height <= 2160 -> Image size %d x %d is not compliant -> Non-profile-4 codestream will be generated IMF profile require mainlevel <= 11. -> %d is thus not compliant -> Non-IMF codestream will be generated IMF profile require sublevel <= %d for mainlevel = %d. -> %d is thus not compliant -> Non-IMF codestream will be generated IMF profiles require at most 3 components. -> Number of components of input image (%d) is not compliant -> Non-IMF codestream will be generated IMF profiles require image origin to be at 0,0. -> %d,%d is not compliant -> Non-IMF codestream will be generated IMF profiles require tile origin to be at 0,0. -> %d,%d is not compliant -> Non-IMF codestream will be generated IMF 2K/4K/8K single tile profiles require tile to be greater or equal to image size. -> %d,%d is lesser than %d,%d -> Non-IMF codestream will be generated IMF 2K_R/4K_R/8K_R single/multiple tile profiles require tile to be greater or equal to image size, or to be (1024,1024), or (2048,2048) for 4K_R/8K_R or (4096,4096) for 8K_R. -> %d,%d is non conformant -> Non-IMF codestream will be generated IMF profiles require precision of each component to b in [8-16] bits unsigned-> At least component %d of input image (%d bits, %s) is not compliant -> Non-IMF codestream will be generated IMF profiles require XRSiz1 == 1. Here it is set to %d. -> Non-IMF codestream will be generated IMF profiles require XRSiz2 == 1 or 2. Here it is set to %d. -> Non-IMF codestream will be generated IMF profiles require XRSiz%d to be the same as XRSiz2. Here it is set to %d instead of %d. -> Non-IMF codestream will be generated IMF profiles require YRsiz == 1. Here it is set to %d for component %d. -> Non-IMF codestream will be generated IMF 2K/2K_R profile require: width <= 2048 and height <= 1556 -> Input image size %d x %d is not compliant -> Non-IMF codestream will be generated IMF 4K/4K_R profile require: width <= 4096 and height <= 3112 -> Input image size %d x %d is not compliant -> Non-IMF codestream will be generated IMF 8K/8K_R profile require: width <= 8192 and height <= 6224 -> Input image size %d x %d is not compliant -> Non-IMF codestream will be generated IMF profile forbid RGN / region of interest marker. -> Compression parameters specify a ROI -> Non-IMF codestream will be generated IMF profile require code block size to be 32x32. -> Compression parameters set it to %dx%d. -> Non-IMF codestream will be generated IMF profile require progression order to be CPRL. -> Compression parameters set it to %d. -> Non-IMF codestream will be generated IMF profile forbid POC markers. -> Compression parameters set %d POC. -> Non-IMF codestream will be generated IMF profile forbid mode switch in code block style. -> Compression parameters set code block style to %d. -> Non-IMF codestream will be generated IMF 2K/4K/8K profiles require 9-7 Irreversible Transform. -> Compression parameters set it to reversible. -> Non-IMF codestream will be generated IMF 2K/4K/8K profiles require 5-3 reversible Transform. -> Compression parameters set it to irreversible. -> Non-IMF codestream will be generated IMF 2K/4K/8K profiles require 1 single quality layer. -> Number of layers is %d. -> Non-IMF codestream will be generated IMF 2K profile requires 1 <= NL <= 5: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 4K profile requires 1 <= NL <= 6: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 8K profile requires 1 <= NL <= 7: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 2K_R profile requires 1 <= NL <= 5 for XTsiz >= 2048: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 2K_R profile requires 1 <= NL <= 4 for XTsiz in [1024,2048[: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 4K_R profile requires 1 <= NL <= 6 for XTsiz >= 4096: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 4K_R profile requires 1 <= NL <= 5 for XTsiz in [2048,4096[: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 4K_R profile requires 1 <= NL <= 4 for XTsiz in [1024,2048[: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 4K_R profile requires 1 <= NL <= 7 for XTsiz >= 8192: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF 4K_R profile requires 1 <= NL <= 6 for XTsiz in [4096,8192[: -> Number of decomposition levels is %d. -> Non-IMF codestream will be generated IMF profiles require PPx = PPy = 7 for NLLL band, else 8. -> Supplied values are different from that. -> Non-IMF codestream will be generated Not enough memory for checking the poc values. Missing packets possible loss of data Expected a SOC marker A marker ID was expected (0xff--) instead of %.8x Unknown marker has been detected and generated error. Invalid marker size Marker handler function failed to read the marker segment Not enough memory to add mh marker required SIZ marker not found in main header required COD marker not found in main header required QCD marker not found in main header Failed to merge PPM data Main header has been correctly decoded. Start to read j2k main header (%lld). Unknown marker Not enough bytes to read Nppm Corrupted PPM markers Not enough memory to read PPM marker Error reading SOT marker Invalid tile number %d Invalid tile part index for tile number %d. Got %d, expected %d Empty SOT marker detected: Psot=%d. Psot value is not correct regards to the JPEG2000 norm: %d. Psot value of the current tile-part is equal to zero, we assuming it is the last tile-part of the codestream. In SOT marker, TPSot (%d) is not valid regards to the previous number of tile-part (%d), giving up In SOT marker, TPSot (%d) is not valid regards to the current number of tile-part (%d), giving up In SOT marker, TPSot (%d) is not valid regards to the current number of tile-part (header) (%d), giving up Not enough memory to read SOT marker. Tile index allocation failed Error reading COD marker Unknown Scod value in COD marker Unknown progression order in COD marker Invalid number of layers in COD marker : %d not in range [1-65535] Invalid multiple component transformation Error reading SPCod SPCoc element Invalid value for numresolutions : %d, max value is set in openjpeg.h at %d Error decoding component %d. The number of resolutions to remove (%d) is greater or equal than the number of resolutions of this component (%d) Modify the cp_reduce parameter. Error reading SPCod SPCoc element, Invalid cblkw/cblkh combination Error reading SPCod SPCoc element. Unsupported Mixed HT code-block style found Error reading SPCod SPCoc element, Invalid transformation found Invalid precinct size Error reading COC marker Error reading COC marker (bad number of components) Error reading RGN marker bad component number in RGN (%d when there are only %d) Error reading QCD marker Error reading SQcd or SQcc element While reading CCP_QNTSTY element inside QCD or QCC marker segment, number of subbands (%d) is greater to OPJ_J2K_MAXBANDS (%d). So we limit the number of elements stored to OPJ_J2K_MAXBANDS (%d) and skip the rest. Error reading QCC marker Invalid component number: %d, regarding the number of components %d Error reading POC marker Too many POCs %d Error with SIZ marker size Error with SIZ marker: number of component is illegal -> %d Error with SIZ marker: number of component is not compatible with the remaining number of parameters ( %d vs %d) Error with SIZ marker: negative or zero image size (%lld x %lld) Error with SIZ marker: invalid tile size (tdx: %d, tdy: %d) Error with SIZ marker: illegal tile offset Error with SIZ marker: IHDR w(%u) h(%u) vs. SIZ w(%u) h(%u) Not enough memory to take in charge SIZ marker Despite JP2 BPC!=255, precision and/or sgnd values for comp[%d] is different than comp[0]: [0] prec(%d) sgnd(%d) [%d] prec(%d) sgnd(%d) Invalid values for comp = %d : dx=%u dy=%u (should be between 1 and 255 according to the JPEG2000 norm) Invalid values for comp = %d : prec=%u (should be between 1 and 38 according to the JPEG2000 norm. OpenJpeg only supports up to 31) Error reading TLM marker Error reading PLM marker Error reading PLT marker Error reading PPM marker Zppm %u already read Error reading PPT marker Error reading PPT marker: packet header have been previously found in the main header (PPM marker). Not enough memory to read PPT marker Zppt %u already read Error reading CRG marker Error reading MCT marker Cannot take in charge mct data within multiple MCT records Not enough memory to read MCT marker Cannot take in charge multiple MCT markers Crror reading CBD marker Error reading MCC marker Cannot take in charge multiple data spanning Not enough memory to read MCC marker Cannot take in charge multiple collections Cannot take in charge collections other than array decorrelation Cannot take in charge collections with indix shuffle Cannot take in charge collections without same number of indixes Error reading MCO marker Cannot take in charge multiple transformation stages. Tile part length size inconsistent with stream length p_j2k->m_specific_param.m_decoder.m_sot_length > UINT_MAX - OPJ_COMMON_CBLK_DATA_EXTRA*l_tile_len > UINT_MAX - OPJ_COMMON_CBLK_DATA_EXTRA - p_j2k->m_specific_param.m_decoder.m_sot_lengthNot enough memory to decode tile opj_j2k_merge_ppt() has already been called Image coordinates above INT_MAX are not supported Size x of the decoded component image is incorrect (comp[%d].w=%d). Size y of the decoded component image is incorrect (comp[%d].h=%d). default tile { csty=%#x prg=%#x numlayers=%d mct=%x comp %d { csty=%#x numresolutions=%d cblkw=2^%d cblkh=2^%d cblksty=%#x qmfbid=%d preccintsize (w,h)=(%d,%d) qntsty=%d numgbits=%d stepsizes (m,e)= roishift=%d } } Codestream index from main header: { Main header start position=%lli Main header end position=%lli Marker list: { type=%#x, pos=%lli, len=%d Tile index: { nb of tile-part in tile [%d]=%d tile-part[%d]: star_pos=%lli, end_header=%lli, end_pos=%lli. Codestream info from main header: { tx0=%d, ty0=%d tdx=%d, tdy=%d tw=%d, th=%d Failed to decode tile 1/1 Failed to decode tile %d/%d Tile %d/%d has been decoded. Image data has been updated with tile %d. Failed to decode component %d Failed to decode all used components Problem with seek function Tile read, decoded and updated is not the desired one (%d vs %d). The given tile index does not match.tile number %d / %d Not enough bytes in output buffer to write SOT marker Not enough bytes in output buffer to write SOD marker Cannot encode tile: opj_tcd_marker_info_create() failed Cannot encode tile Cannot allocate memory More than 255 PLT markers would be needed for current tile-part ! Number of resolutions is too high in comparison to the size of tiles Not enough memory for the SIZ marker Not enough memory to write COD marker Error writing COD marker Error writing SPCod SPCoc element Not enough memory to write QCD marker Error writing QCD marker Error writing SQcd SQcc element Not enough memory to write COC marker Not enough memory to write QCC marker A maximum of 10921 tile-parts are supported currently when writing TLM marker Not enough memory to write TLM marker Not enough memory to write POC marker Not enough memory to write the COM marker Not enough memory to write CBD marker Not enough memory to write MCT marker Not enough memory to write MCC marker Not enough memory to write MCO marker Not enough memory to create Tile Coder Not enough memory to allocate m_encoded_tile_data. %u MB required Failed to decode the codestream in the JP2 file Invalid number of components specified while setting up JP2 encoder Not enough memory when setup the JP2 encoder Alpha channel specified but unknown enumcs. No cdef box will be created. Alpha channel specified but not enough image components for an automatic cdef box creation. Alpha channel position conflicts with color channel. No cdef box will be created. Multiple alpha channels specified. No cdef box will be created. Not enough memory to setup the JP2 encoder JP2H box missing. Required. IHDR box_missing. Required. JP2 box which are after the codestream will not be read by this function. Invalid component index %d (>= %d). Incomplete channel definitions. Unexpected OOM. Invalid value for cmap[%d].mtyp = %d. Invalid component/palette index for direct mapping %d. Component %d is mapped twice. Direct use at #%d however pcol=%d. Implementation limitation: for palette mapping, pcol[%d] should be equal to %d, but is equal to %d. Component %d doesn't have a mapping. Component mapping seems wrong. Trying to correct. image->comps[%d].data == NULL in opj_jp2_apply_pclr(). Memory allocation failure in opj_jp2_apply_pclr(). opj_jp2_apply_cdef: cn=%d, numcomps=%d opj_jp2_apply_cdef: acn=%d, numcomps=%d Failed to seek in the stream. Not enough memory to handle jpeg2000 file header bad placed jpeg codestream Cannot handle box of undefined sizes invalid box size %d (%x) Found a misplaced '%c%c%c%c' box outside jp2h box JPEG2000 Header box not read yet, '%c%c%c%c' box will be ignored Problem with skipping JPEG2000 box, stream error Invalid box size %d for box '%c%c%c%c'. Need %d bytes, %d bytes remaining Not enough memory to handle jpeg2000 box Problem with reading JPEG2000 box, stream error Malformed JP2 file format: first box must be JPEG 2000 signature box Malformed JP2 file format: second box must be file type box Cannot handle box sizes higher than 2^32 The signature box must be the first box in the file. Error with JP signature Box size Error with JP Signature : bad magic number The ftyp box must be the second box in the file. Error with FTYP signature Box size Not enough memory with FTYP Box The box must be the first box in the file. Stream error while reading JP2 Header box Stream error while reading JP2 Header box: box length is inconsistent. Stream error while reading JP2 Header box: no 'ihdr' box. Cannot handle box of less than 8 bytes Cannot handle XL box of less than 16 bytes Box length is inconsistent. Ignoring ihdr box. First ihdr box already read Bad image header box (bad size) Wrong values for: w(%d) h(%d) numcomps(%d) (ihdr) Invalid number of components (ihdr) Not enough memory to handle image header (ihdr) JP2 IHDR box: compression type indicate that the file is not a conforming JP2 file (%d) Bad COLR header box (bad size) A conforming JP2 reader shall ignore all Colour Specification boxes after the first, so we ignore this one. Bad COLR header box (bad size: %d) Not enough memory for cielab Bad COLR header box (CIELab, bad size: %d) COLR BOX meth value is not a regular value (%d), so we will ignore the entire Colour Specification box. A BPCC header box is available although BPC given by the IHDR box (%d) indicate components bit depth is constant Bad BPCC header box (bad size) Invalid PCLR box. Reports %d entries Invalid PCLR box. Reports 0 palette columns Need to read a PCLR box before the CMAP box. Only one CMAP box is allowed. Insufficient data for CMAP box. Insufficient data for CDEF box. Number of channel description is equal to zero in CDEF box. Not enough memory to handle ftyp data Error while writing ftyp data to stream Not enough memory to hold JP2 Header data Stream error while writing JP2 Header box 2.4.0Codec provided to the opj_setup_decoder function is not a decompressor handler. Codec provided to the opj_read_header function is not a decompressor handler. Codec provided to the opj_set_decoded_components function is not a decompressor handler. apply_color_transforms = OPJ_TRUE is not supported. opj_pi_next_lrcp(): invalid compno0/compno1 Invalid access to pi->includeopj_pi_next_rlcp(): invalid compno0/compno1 opj_pi_next_rpcl(): invalid compno0/compno1 opj_pi_next_pcrl(): invalid compno0/compno1 opj_pi_next_cprl(): invalid compno0/compno1 Cannot allocate cblk->decoded_data Cannot allocate Tier 1 handle Unable to set t1 handle as TLS opj_t1_decode_cblk(): unsupported bpno_plus_one = %d >= 31 PTERM check failure: %d remaining bytes in code block (%d used / %d) PTERM check failure: %d synthetized 0xFF markers read Invalid precinct Not enough space for expected SOP marker Expected SOP marker Not enough space for expected EPH marker Expected EPH marker Invalid bit number %d in opj_t2_read_packet_header() read: segment too long (%d) with max (%d) for codeblock %d (p=%d, b=%d, r=%d, c=%d) cannot allocate opj_tcd_seg_data_chunk_t* arrayopj_t2_encode_packet(): only %u bytes remaining in output buffer. %u needed. opj_t2_encode_packet(): accessing precno=%u >= %u skip: segment too long (%d) with max (%d) for codeblock %d (p=%d, b=%d, r=%d, c=%d) Size of tile data exceeds system limits Invalid tilec->win_xxx values Tile X coordinates are not supported Tile Y coordinates are not supported tiles require at least one resolution Not enough memory for tile resolutions Integer overflow Not enough memory to handle band precints Size of code block data exceeds system limits Not enough memory for current precinct codeblock element Tiles don't all have the same dimension. Skip the MCT step. Number of components (%d) is inconsistent with a MCT. Skip the MCT step. Not enough memory to create Tag-tree Not enough memory to create Tag-tree nodes Not enough memory to reinitialize the tag tree Not enough memory to add a new validation procedure SuccessInvalid argumentThe width argument is outside the supported range [1, 65535]The height argument is outside the supported range [1, 65535]The component count argument is outside the range [1, 255]The bit per sample argument is outside the range [2, 16]The interleave mode is not None, Sample, Line) or invalid in combination with component countThe near lossless argument is outside the range [0, 255]The argument for the entry size parameter is outside the range [0, 65528]The argument for the color component is not (None, Hp1, Hp2, Hp3) or invalid in combination with component countThe argument for the JPEG-LS preset coding parameters is not validInvalid JPEG-LS stream, first JPEG marker is not a Start Of Image (SOI) markerInvalid JPEG-LS stream, unexpected marker foundInvalid JPEG-LS stream, segment size of a marker segment is invalidInvalid JPEG-LS stream, more then one Start Of Image (SOI) markerInvalid JPEG-LS stream, more then one Start Of Frame (SOF) markerInvalid JPEG-LS stream, duplicate component identifier in the (SOF) segmentInvalid JPEG-LS stream, unexpected End Of Image (EOI) markerInvalid JPEG-LS stream, JPEG-LS preset parameters segment contains an invalid typeUnsupported JPEG-LS stream, JPEG-LS preset parameters segment contains an JPEG-LS Extended (ISO/IEC 14495-2) typeInvalid JPEG-LS stream, SPIFF header without End Of Directory (EOD) entryInvalid JPEG-LS stream, The bit per sample (sample precision) parameter is not in the range [2, 16]The JPEG-LS stream is encoded with a parameter value that is not supported by the CharLS decoderThe destination buffer is too small to hold all the outputThe source buffer is too small, more input data was expectedInvalid JPEG-LS stream, the encoded bit stream contains a general structural problemInvalid JPEG-LS stream, the decoding process is ready but the source buffer still contains encoded dataMethod call is invalid for the current stateThe bit depth for the transformation is not supportedThe color transform is not supportedInvalid JPEG-LS stream, the JPEG stream is not encoded with the JPEG-LS algorithmInvalid JPEG-LS stream, an unknown JPEG marker code was foundInvalid JPEG-LS stream, the leading start byte (0xFF) for a JPEG marker was not foundNo memory could be allocated for an internal bufferAn unexpected internal failure occurredInvalid JPEG-LS stream, the width (Number of samples per line) is already definedInvalid JPEG-LS stream, the height (Number of lines) is already definedInvalid JPEG-LS stream, component count in the SOF segment is outside the range [1, 255]Invalid JPEG-LS stream, interleave mode is outside the range [0, 2] or conflicts with component countInvalid JPEG-LS stream, near-lossless is outside the range [0, min(255, MAXVAL/2)]Invalid JPEG-LS stream, JPEG-LS preset coding parameters segment contains invalid valuescharls::jpeglsmrfxBogus message code %dSorry, there are legal restrictions on arithmetic codingALIGN_TYPE is wrong, please fixMAX_ALLOC_CHUNK is wrong, please fixBogus buffer control modeInvalid component ID %d in SOSDCT coefficient out of rangeIDCT output block size %d not supportedspatial difference out of rangeBogus Huffman table definitionBogus input colorspaceBogus JPEG colorspaceBogus marker lengthWrong JPEG library version: library is %d, caller expects %dInvalid lossless parameters Ss=%d Se=%d Ah=%d Al=%dInvalid lossless parameters at scan script entry %dSampling factors too large for interleaved scanInvalid memory pool code %dUnsupported JPEG data precision %dInvalid progressive parameters Ss=%d Se=%d Ah=%d Al=%dInvalid progressive parameters at scan script entry %dInvalid restart interval: %d, must be an integer multiple of the number of MCUs in an MCU_row (%d)Bogus sampling factorsInvalid scan script at entry %dImproper call to JPEG library in state %dJPEG parameter struct mismatch: library thinks size is %u, caller expects %uBogus virtual array accessBuffer passed to JPEG library is too smallSuspension not allowed hereCannot transcode to/from lossless JPEG datastreamsCCIR601 sampling not implemented yetToo many color components: %d, max %dUnsupported color conversion requestBogus DAC index %dBogus DAC value 0x%xBogus DHT index %dBogus DQT index %dEmpty JPEG image (DNL not supported)Read from EMS failedWrite to EMS failedDidn't expect more than one scanInput file read errorOutput file write error --- out of disk space?Fractional sampling not implemented yetHuffman code size table overflowMissing Huffman code table entryMaximum supported image dimension is %u pixelsEmpty input filePremature end of input fileCannot transcode due to multiple use of quantization table %dScan script does not transmit all dataInvalid color quantization mode changeNot implemented yetRequested feature was omitted at compile timeBacking store not supportedHuffman table 0x%02x was not definedJPEG datastream contains no imageLossless encoding was requested but no scan script was suppliedQuantization table 0x%02x was not definedNot a JPEG file: starts with 0x%02x 0x%02xInsufficient memory (case %d)Cannot quantize more than %d color componentsCannot quantize to fewer than %d colorsCannot quantize to more than %d colorsInvalid JPEG file structure: two SOF markersInvalid JPEG file structure: missing SOS markerUnsupported JPEG process: SOF type 0x%02xInvalid JPEG file structure: two SOI markersInvalid JPEG file structure: SOS before SOFFailed to create temporary file %sRead failed on temporary fileSeek failed on temporary fileWrite failed on temporary file --- out of disk space?Application transferred too few scanlinesUnsupported marker type 0x%02xVirtual array controller messed upImage too wide for this implementationRead from XMS failedWrite to XMS failedCopyright (C) 1998, Thomas G. Lane6b 27-Mar-1998Caution: quantization tables are too coarse for baseline JPEGAdobe APP14 marker: version %d, flags 0x%04x 0x%04x, transform %dUnknown APP0 marker (not JFIF), length %uUnknown APP14 marker (not Adobe), length %uDefine Arithmetic Table 0x%02x: 0x%02xDefine Huffman Table 0x%02xDefine Quantization Table %d precision %dDefine Restart Interval %uFreed EMS handle %uObtained EMS handle %uEnd Of Image %3d %3d %3d %3d %3d %3d %3d %3dJFIF APP0 marker: version %d.%02d, density %dx%d %dWarning: thumbnail image size does not match data length %uJFIF extension marker: type 0x%02x, length %u with %d x %d thumbnail imageMiscellaneous marker 0x%02x, length %uUnexpected marker 0x%02x %4u %4u %4u %4u %4u %4u %4u %4uQuantizing to %d = %d*%d*%d colorsQuantizing to %d colorsSelected %d colors for quantizationAt marker 0x%02x, recovery action %dRST%dSmoothing not supported with nonstandard sampling ratiosStart Of Frame 0x%02x: width=%u, height=%u, components=%d Component %d: %dhx%dv q=%dStart of ImageStart Of Scan: %d components Component %d: dc=%d ac=%d Ss=%d, Se=%d, Ah=%d, Al=%dClosed temporary file %sOpened temporary file %sJFIF extension marker: JPEG-compressed thumbnail image, length %uJFIF extension marker: palette thumbnail image, length %uJFIF extension marker: RGB thumbnail image, length %uUnrecognized component IDs %d %d %d, assuming RGBUnrecognized component IDs %d %d %d, assuming YCbCrFreed XMS handle %uObtained XMS handle %uUnknown Adobe color transform code %dInconsistent progression sequence for component %d coefficient %dCorrupt JPEG data: %u extraneous bytes before marker 0x%02xCorrupt JPEG data: premature end of data segmentCorrupt JPEG data: bad Huffman codeWarning: unknown JFIF revision number %d.%02dPremature end of JPEG fileMust downscale data from %d bits to %dCorrupt JPEG data: found marker 0x%02x instead of RST%dInvalid SOS parameters for sequential JPEGApplication transferred too many scanlinesdataWithBytes:length:allocinitWithCGImage:size:CGImageForProposedRect:context:hints: PT ?XQ?X!Q QaQQ!a Q?? @ؑ??.??? 1???5?%???G??8???Yp?K??Pi?Qc???v`?o????{??????!Џq%?ؑP@x7??A?7??D?7??E,8??Fd8?H?8?J?8? 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f??bitwise_orERKNS_11_InputArrayES2_RKNS_12_OutputArrayES2_??AsyncArray??getSeqElemEPK5CvSeqi??c??s??me??haveOpenVXEv??PCA??accumulateERKNS_11_InputArrayERKNS_17_InputOutputArrayES2_??drawMarkerERKNS_17_InputOutputArrayENS_6Point_IiEERKNS_7Scalar_IdEEiiii??w??HoughLinesERKNS_11_InputArrayERKNS_12_OutputArrayEddidddd??astMallocEm??itEllipseERKNS_11_InputArrayE????f??s֓multiplyERKNS_11_InputArrayES2_RKNS_12_OutputArrayEdiۚc??CholeskyEP??S??parallel??FileNode??i??tempfileEPKc?KeyPoint7ɖUMatData̙va_intel?logPolarERKNS_11_InputArrayERKNS_12_OutputArrayENS_6Point_IfEEdi??astFreeEPv˅il??зA?F??N??Or?Xor?S??MɡD??In??CʣR??G??P??L??EؾT??B??KMeans2•UseOptimized??Hough??Wa??2DRotationMatrix??lloc??ndݟd??bsDiff?vg??cc??pproxܺrcLength???ree_чl??i??astArctan???b??aϝm??c??findNonZeroERKNS_11_InputArrayERKNS_12_OutputArrayE??se??de??SVBackSubstERKNS_11_InputArrayES2_S2_S2_RKNS_12_OutputArrayE??polarToCartERKNS_11_InputArrayES2_RKNS_12_OutputArrayES5_b??MahalanobisERKNS_11_InputArrayES2_S2_??_InputArrayC?FileStorage??writeScalarERNS_11FileStorageE??randShuffleERKNS_17_InputOutputArrayEdPNS_3RNGE??R??getTextSizeERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEEidiPi??HoughLinesPERKNS_11_InputArrayERKNS_12_OutputArrayEddidd??linearPolarERKNS_11_InputArrayERKNS_12_OutputArrayENS_6Point_IfEEdi??imreadmultiERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEERNS0_6vectorINS_3MatENS4_ISA_EEEEi??itwise_?lendLinearERKNS_11_InputArrayES2_S2_S2_RKNS_12_OutputArrayE??andERKNS_11_InputArrayES2_RKNS_12_OutputArrayES2_??xorERKNS_11_InputArrayES2_RKNS_12_OutputArrayES2_??notERKNS_11_InputArrayERKNS_12_OutputArrayES2_?????????m?a??hal??Mat??d??SVD??L??expERKNS_??logERKNS_??powERKNS_??o??PCA??RNG??s??cosERKNS_10softdoubleE??ipp??EMDERKNS_11_InputArrayES2_iS2_PfRKNS_12_OutputArrayE??axE?inEؑRKNS_??dRKNS_3MatE??11_InputArrayES2_RKNS_12_OutputArrayEґ3MatE??4UMatES2_RS0_????RKNS_?dRKNS_3MatE?11_InputArrayES2_RKNS_12_OutputArrayE??3MatEߒ4UMatES2_RS0_????S2_˒d?RS0_ْ????S2_?d?RS0_??ۭ??????ddERKNS_11_InputArrayES2_RKNS_12_OutputArrayES2_iГbsERKNS_????ubtractERKNS_11_InputArrayES2_RKNS_12_OutputArrayES2_iɔcaleAddERKNS_11_InputArrayEdS2_RKNS_12_OutputArrayE????absdiffERKNS_11_InputArrayES2_RKNS_12_OutputArrayE˗compareERKNS_11_InputArrayES2_RKNS_12_OutputArrayEi?i?s??directx??M?hconcatE??vconcatE??noArrayEv??ellipseERKNS_17_InputOutputArrayE??p??grabCutERKNS_11_InputArrayERKNS_17_InputOutputArrayENS_5Rect_IiEES5_S5_ii??fitLineERKNS_11_InputArrayERKNS_12_OutputArrayEiddd??momentsERKNS_11_InputArrayEb??з cٙd?rȌseqPopEP5CvSeqPv??kmeansERKNS_11_InputArrayEiRKNS_17_InputOutputArrayENS_12TermCriteriaEiiRKNS_12_OutputArrayE??i??theRNGEv??mulAddERKNS_??formatEPKcz??plugin4impl10DynamicLib??ScharrERKNS_11_InputArrayERKNS_12_OutputArrayEiiiddi??opyToERKNS_11_InputArrayERKNS_12_OutputArrayES2_՚ircleERKNS_17_InputOutputArrayENS_6Point_IiEEiRKNS_7Scalar_IdEEiii??????i?etail??videEЛlateERKNS_11_InputArrayERKNS_12_OutputArrayES2_NS_6Point_IiEEiiRKNS_7Scalar_IdEE??RKNS_11_InputArrayES2_RKNS_12_OutputArrayEdi??dRKNS_11_InputArrayERKNS_12_OutputArrayEi?????UMat͜cuda?3??5?6??8??9¥4diagEi??7reshapeEii??1֩mulERKNS_11_InputArrayEdɝinvEi??dotERKNS_11_InputArrayE????ddWeightedERKNS_11_InputArrayEdS2_ddRKNS_12_OutputArrayEiܞrrowedLineERKNS_17_InputOutputArrayENS_6Point_IiEES4_RKNS_7Scalar_IdEEiiid??п??nRangeERKNS_11_InputArrayES2_S2_RKNS_12_OutputArrayE??m????oʟext??ulDevReport??tןrm??????S????S????S????????d??aptiveThreshold????S??Weighted? u??e?cal??plitȄaĻliceLength??t??o??V??quareAccǺmooth??b??m????RSástituteContour??????ul?i??aۤe΄o????Spectrums??Transposed??tiplyAccκiǢFT??CT??et??otProduct??rawContours??v?stTransform??late????????S????Range??it??sertNodeIntoTree??vert??tegral???SģН mp??rڽl??h??o?vt??brt??a??ircle????S????n??xChannels??S??MaxLoc??AreaRect2??EnclosingCircle??x??ke??halanobis??tch???S??Rect?????? 5ʥ6??9?1?4??7??8??3??2?? a֦sub8??m?xor8uEPKhmS2_mPhmiiPv??not8uEPKhmS2_mPhmiiPv??cmp8??div8۵D??LUȕQR??Morph6createEiiiiiiPhmiiiiiPKdibb??dd8??nd8uEPKhmS2_mPhmiiPv??uEPKhmS2_mPhmiiPv??sEPKamS2_mPamiiPv???? ?? add??subԩm?cmp??div??SVD??exp??log??resizeEiPKhmiiPhmiiddi??16??32ި64fEPKdmS2_mPdmiiPv??uEPKtmS2_mPtmiiPvҨsEPKsmS2_mPsmiiPvب?? ?? sEPKimS2_mPimiiPv??fEPKfmS2_mPfmiiPv??п ?? ?? uEPKhmS2_mPhmiiPvȩsEPKamS2_mPamiiPvΩ?? ?? 16??32??64fEPKdmS2_mPdmiiPv?uEPKtmS2_mPtmiiPv??sEPKsmS2_mPsmiiPv???? ?? sEPKimS2_mPimiiPvݪfEPKfmS2_mPfmiiPv??? ?? ?? in8??ax8??ul8??orphEiiiPhmS1_miiiiiiiiiiiS1_miiiiiPKdib??uEPKhmS2_mPhmiiPvޫsEPKamS2_mPamiiPv??? ?? in??axѭul??16??32۬64fEPKdmS2_mPdmiiPv??uEPKtmS2_mPtmiiPvϬsEPKsmS2_mPsmiiPvլ?? ?? sEPKimS2_mPimiiPv??fEPKfmS2_mPfmiiPv???? ?? ?? uEPKhmS2_mPhmiiPvŭsEPKamS2_mPamiiPv˭?? ?? 16??32??64fEPKdmS2_mPdmiiPv?uEPKtmS2_mPtmiiPv??sEPKsmS2_mPsmiiPv???? ?? sEPKimS2_mPimiiPvڮfEPKfmS2_mPfmiiPv??? ?? ?? absdiff8??cvt??fastAtan2EPKfS2_Pfib??magnitudeEPK??uEPKhmS2_mPhmiiPvկsEPKamS2_mPamiiPvۯ?? ?? 0??3add??4??1??2??5??9cvt??absdiffݰinvSqrt??normL2Sqr_EPKfS2_i??warpAffineEiPKhmiiPhmiiPKdiiS5_??16??32??64fEPKdmS2_mPdmiiPv?uEPKtmS2_mPtmiiPv??sEPKsmS2_mPsmiiPv???? ?? sEPKimS2_mPimiiPv?fEPKfmS2_mPfmiiPv??? ?? ?? or8uEPKhmS2_mPhmiiPv??sqrtEPK????!Ѓ!??!??!uEPKhmS2_mPhmiiPv?sEPKamS2_mPhmiiPv???!??!16??32ʳ64fEPKdmS2_mPhmiiPv??uEPKtmS2_mPhmiiPv??sEPKsmS2_mPhmiiPvij??!??!sEPKimS2_mPhmiiPv??fEPKfmS2_mPhmiiPv????!?!??!uEPKhmS2_mPhmiiPv??sEPKamS2_mPamiiPv??К!??!16?32??64fEPKdmS2_mPdmiiPvյuEPKtmS2_mPtmiiPv??sEPKsmS2_mPsmiiPv????!?!fEPKfmS2_mPfmiiPvɵsEPKimS2_mPimiiPvϵ??!??!?!uEPKhmS2_mPhmiiPv??sEPKamS2_mPamiiPv????!Э!16??32?64fEPKdmS2_mPdmiiPv??uEPKtmS2_mPtmiiPv?sEPKsmS2_mPsmiiPv???!??!sEPKimS2_mPimiiPv??fEPKfmS2_mPfmiiPv???!??!??!Weighted8ȷRNGBias??uEPKhmS2_mPhmiiPv??sEPKamS2_mPamiiPv???!??!addWeighted??cvtBGR??16??32??64fEPKdmS2_mPdmiiPv??uEPKtmS2_mPtmiiPv?sEPKsmS2_mPsmiiPv???!??!sEPKimS2_mPimiiPv??fEPKfmS2_mPfmiiPv????!??!??!recip8??s??invSqrtEPK??gemm??merge8uEPPKhPhii??normL1_EPK??uEPKhmS2_mPhmiiPv??sEPKamS2_mPamiiPv????!??!recipػgemm??CholeskyEP??merge??split??Filter2D6createEPhmiiiiiiiidiibb??filter2DEiiiPhmS1_miiiiiiS1_miiiidib??integralEiiiPKhmPhmS3_mS3_miii??16??32??64fEPKdmS2_mPdmiiPv??uEPKtmS2_mPtmiiPv??sEPKsmS2_mPsmiiPv????!??!sEPKimS2_mPimiiPv?fEPKfmS2_mPfmiiPv???!??!??!t??qѼI??Data??1D??2D??3D??N??Re???PLAllocatorsԽmage??dentityՔ??#eate?ossProduct??M??Data?S??Image??ChildMemStorage??Graph??Hist??Pyramid??atӾemStorage????#Header?ND????#??#Mat?NArrayIterator??SparseMatIterator??ImageHeader??TreeNodeIterator??LineIterator??Font??Header??NDHeader????#e??a??unningAvgպlease??s??peatЏm??d??adChainPoint??ctangle??M??S??Data??Image????at??emStorage????#one??ear??ipLine??Mat??SparseMat??Image??????#ND????#??$Header????$??$??$NArraySlice??GraphItem??TreeNode????$parseMat??e??tructuringElementEx??Щ$parseMat??tructuringElement????$?$??$д$?$et??raph??EMM??uiBoxReportȅoodFeaturesToTrack??R??E??Di??S??M??C??1D??2D??3D??N??Image??OptimalDFTSize??T??PerspectiveTransform??AffineTransform??HuMoments??QuadrangleSubPix??awData??ows??e????$tr??r??o??erspectiveTransform??utText??yr??2D??1D??3D??ND????$lemType??rrυ??$m??ag??s??Size????$??$ize??ubRect??eq??patialMoment????$??$at??inMaxHistValue????$??$ols??entralMoment????$??$arToRawData??eAdd????$wDataToScalar??n????%В%??%??%??%??%??%D??umThreads?ormalizedCentralMoment???%al??ctSubPix??1D??2D??3D??ND???%??%??%??%??%??%??%D??umThreads???%al??move??1D??2D??3D??ND????%??%??%??%ND??MemStorage??Se??Graph??Hist????%hape??etImageROI??toreMemStoragePos?ize??MatND??????%??&??&ROI??COI????&Header????Д&??&Header??????&??&ROI??COI????&??&П&??&??&?&eck??angeSeqBlock??TermCriteria??Arr??HardwareSupport??ContourConvexity???&4DefaultDeleterI??0??7CommandLineParser??6??2с1??5CvMatEclEPS1_??9_IplImageEclEPS1_??7CvMatNDEclEPS1_??1????&??&??&1CvSparseMatEclEPS1_??2CvMemStorageEclEPS1_????&?&??&GraphScanner??Hist??Pyramid??Я&Graph??C??D??7releaseEv??aSERKS0_??2E??1E??v??RKS0_??б&v??RKS0_???&2Ev??1Ev???&??&?&??&г&?&AsyncArray??softdouble??3getERKNS_12_OutputArrayE??8wait_forEx??5validEv??x????д&??&н&??&AsyncPromise??typeToStringEi??co֏s??m??reduceArgM??getT??useOptimizedEv??approxPolyDPERKNS_11_InputArrayERKNS_12_OutputArrayEdb??findContoursERKNS_11_InputArrayERKNS_12_OutputArrayE??LineIterator4initEPKNS_3MatENS_5Rect_IiEENS_6Point_IiEES7_ib??e??d??HoughCirclesERKNS_11_InputArrayERKNS_12_OutputArrayEiddddii??b??GaussianBlurERKNS_11_InputArrayERKNS_12_OutputArrayENS_5Size_IiEEddi??C??D??7releaseEv??aSERKS0_??1??8setValueERKNS_11_InputArrayE??2E??1E??v??RKS0_????&v??RKS0_????&2Ev??1Ev????&??&??&??&??&??&4getArrayResultEv??2setExceptionE????&??&RKNS_9ExceptionE??St13exception_ptr????&??& batchDistanceERKNS_11_InputArrayES2_RKNS_12_OutputArrayEiS5_iiS2_ib??insertChannelERKNS_11_InputArrayERKNS_17_InputOutputArrayEi??d??m??parallel_for_ERKNS_5RangeERKNS_16ParallelLoopBodyEdްget?setNumThreadsEi??redirectErrorEPFiiPKcS1_S1_iPvES2_PS2_??applyColorMapERKNS_11_InputArrayERKNS_12_OutputArrayE??fitEllipseAMSERKNS_11_InputArrayE??__terminationE????' utils??e??s??p??MatOpƗtraceERKNS_11_InputArrayE??mergeE??writeERNS_11FileStorageERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??r??instr??CannyERKNS_11_InputArrayE??SobelERKNS_11_InputArrayERKNS_12_OutputArrayEiiiiddi??1??2??7logging??3׈5trace7details??4??5dumpVectorOfIntERKNSt3__16vectorIiNS1_9allocatorIiEEEE??8dumpVectorOfDoubleERKNSt3__16vectorIdNS1_9allocatorIdEEEE??6dumpVectorOfRectERKNSt3__16vectorINS_5Rect_IiEENS1_9allocatorIS4_EEEE??0BufferArea??1getThreadIDEvЈ7addDataSearchPathERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEˬ2findDataFileERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE?dumpInputArrayERKNS_11_InputArrayE??getBinLocationERNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE٬??'2dumpInputArrayOfArraysERKNS_11_InputArrayE??0dumpInputOutputArrayERKNS_17_InputOutputArrayE??8dumpInputOutputArrayOfArraysERKNS_17_InputOutputArrayE??fs??9getConfigurationParameterBoolEPKcb??5addDataSearchSubDirectoryERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEҬ??(??(?(??(??(??(29getCacheDirectoryForDownloadsEv??1??4??9??6??8FileLock????(C??D??7releaseEv??9??8zeroFillEv??6commitEv??2Eb??1Eb????(??(2Ev??1Ev????(??(??(allocate_EPPvtmt??zeroFill_EPPv????(??(??(??(i??atchShapesERKNS_11_InputArrayES2_id??xChannelsE??nAreaRectERKNS_11_InputArrayE??PKNS_3MatEmPS0_mPKim??RKNS_11_InputArrayERKNS_17_InputOutputArrayE????(PKim??RKNSt3__16vectorIiNS6_9allocatorIiEEEE????(?) extractChannelERKNS_11_InputArrayERKNS_12_OutputArrayEi??ConjGradSolver6createERKNS_3PtrINS_16MinProblemSolver8FunctionEEENS_12TermCriteriaE??copyMakeBorderERKNS_11_InputArrayERKNS_12_OutputArrayEiiiiiRKNS_7Scalar_IdEEˎseq??DownhillSolver6createERKNS_3PtrINS_16MinProblemSolver8FunctionEEERKNS_11_InputArrayENS_12TermCriteriaE??insertImageCOIERKNS_11_InputArrayEPviϔPCABackProjectERKNS_11_InputArrayES2_S2_RKNS_12_OutputArrayE??fillConvexPolyERKNS_17_InputOutputArrayE??getGaborKernelENS_5Size_IiEEdddddi??phaseCorrelateERKNS_11_InputArrayES2_S2_Pd????)??)epthToStringEi??icomJpgWriteERNS_3MatERKNSt3__16vectorIiNS2_9allocatorIiEEEERKNS2_12basic_stringIcNS2_11char_traitsIcEENS4_IcEEEE????*1??2??4depthToString_Ei??3typeToString_Ei??7check_failed_autoE????*??*??*1check_failed_MatDepthEi??0check_failed_MatTypeEi??4check_failed_MatChannelsEi??iRKNS0_12CheckContextE??RKNS0_12CheckContextE????*iRKNS0_12CheckContextE??RKNS0_12CheckContextE????*iRKNS0_12CheckContextE??RKNS0_12CheckContextE????*i??m??f??d??NS_5Size_IiEE??RKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEERKNS0_12CheckContextE??iRKNS0_12CheckContextE??RKNS0_12CheckContextE????*mRKNS0_12CheckContextE??RKNS0_12CheckContextE??Ш*fRKNS0_12CheckContextE??RKNS0_12CheckContextE????*dRKNS0_12CheckContextE??RKNS0_12CheckContextE????*S2_RKNS0_12CheckContextE??RKNS0_12CheckContextE????*??*??*??*??*??*??*??*??+??+9getByNameERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEbNS_5ParamEPv??1??4Impl1??20getPathToApplicationEv??3hasERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE??5checkEv????+0getByIndexEibNS_5ParamEPv??1printErrorsEv??2printMessageEv????+C??4Impl1??D??aSERKS0_??5aboutERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE??2E??1E??iPKPKcRKNSt3__112basic_stringIcNS5_11char_traitsIcEENS5_9allocatorIcEEEE??RKS0_????+8split_range_stringERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEcc??2split_stringERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEcb????+Ѐ,2apply_paramsE??1sort_paramsEv??RKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEESA_??iNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE????,??,??,iPKPKcRKNSt3__112basic_stringIcNS5_11char_traitsIcEENS5_9allocatorIcEEEE??RKS0_????,2Ev??1Ev????,??,??,??,??,??,??,??,?,??,??,M??FileNodeIterator??TLSDataContainerȇinProblemSolver8Function14getGradientEpsEv??atConstIterator???- M??ParallelLoopBodyD??FileNodeIterator??getTLSDataContainerȆUMatDataAutoLock??accumulateSquareERKNS_11_InputArrayERKNS_17_InputOutputArrayES2_??c??pointPolygonTestERKNS_11_InputArrayENS_6Point_IfEEb??fitEllipseDirectERKNS_11_InputArrayE??dicom??inProblemSolver8Function11getGradientEPKdPd??atConstIterator4seekE????-о-16f32fEPKNS_9float16_tEPfi??32f16fEPKfPNS_9float16_tEi????0??032fEPfPKfi??64fEPdPKdi????0??0Mat??SVD9backSubstERKNS_11_InputArrayERKNS_12_OutputArrayE??LDA4saveER??o??PCA?9ځ6copyToERKNS_12_OutputArrayE?3??5??8assignToERS0_i??4diagEi?7?1??convertToERKNS_12_OutputArrayEidd??locateROIERNS_5Size_IiEERNS_6Point_IiEEՑ??0o??artToPolarERKNS_11_InputArrayES2_RKNS_12_OutputArrayES5_b??reateCLAHEEdNS_5Size_IiEE??n??mpareHistERKNS_??vert؃tourAreaERKNS_11_InputArrayEb??Fp16ERKNS_11_InputArrayERKNS_12_OutputArrayE„MapsERKNS_11_InputArrayES2_RKNS_12_OutputArrayES5_ib????0??0rge?mStorageAlloc???0??0n??pyюmp?untNonZero??rner??lorToScalar??ve??tourArea??rtͅx??Scale??Maps??Abs????1??1UT??og??aplace??ine????1alize??????1Hist?? c??s?extractImageCOIEPKvRKNS_12_OutputArrayEiɔNAryMatIterator??getбbilateralFilterERKNS_11_InputArrayERKNS_12_OutputArrayEiddi??isContourConvexERKNS_11_InputArrayE??preCornerDetectERKNS_11_InputArrayERKNS_12_OutputArrayEii??warpPerspectiveERKNS_11_InputArrayERKNS_12_OutputArrayES2_NS_5Size_IiEEiiRKNS_7Scalar_IdEE??dicom?haveImage??onvertScaleAbsERKNS_11_InputArrayERKNS_12_OutputArrayEdd?alc????4calarToRawDataERKNS_7Scalar_IdEEPviiފet܀patialGradientERKNS_11_InputArrayERKNS_12_OutputArrayES5_ii??Щ4??5RKNS_11_InputArrayE???5 aSE?5??C„D??1Ʌ20updateContinuityFlagEv??6??8??7re͍9??4?3eyeE??RK?OS0_??NS_7Scalar_IdEE??S0_???5setToERKNS_11_InputArrayES3_ŒzerosEư??5e??otateERKNS_11_InputArrayERKNS_12_OutputArrayEi??peatERKNS_??duceERKNS_11_InputArrayERKNS_12_OutputArrayEiii??sizeERKNS_11_InputArrayERKNS_12_OutputArrayENS_5Size_IiEEddi??11_InputArrayEiiRKNS_12_OutputArrayE??3MatEii??н5??5??5??5?6Hist??MakeBorder????6Zero??Seq??Add??Err??HistBinRanges????6ipʏushSeqWriterҾoodFill????6??6untNonZeroERKNS_11_InputArrayE??mpleteSymmERKNS_17_InputOutputArrayEb??rner????6??6 c??id??g??s??UMat??normERKNS_ѿflipERKNS_11_InputArrayERKNS_12_OutputArrayEi??meanERKNS_11_InputArrayES2_??PSNRERKNS_11_InputArrayES2_d??readERKNS_8FileNodeER??blurERKNS_11_InputArrayERKNS_12_OutputArrayENS_5Size_IiEENS_6Point_IiEEi??lineERKNS_17_InputOutputArrayENS_6Point_IiEES4_RKNS_7Scalar_IdEEiii??uda??brtERKNS_9softfloatE??6ӓ1??8GpuMatND??7?2??9??5Event??GpuMat?Stream??20updateContinuityFlagEvҔCؔ1??9adjustROIEiiii??6??7releaseEv??5setToENS_7Scalar_IdEER????62E?1E?iiiPvm??NS_5Size_IiEEiPvm??RKS1_NS_5R????66defaultAllocatorEvݕ9setDefaultAllocatorEPNS1_9AllocatorE????6iiiPvm??NS_5Size_IiEEiPvm??RKS1_NS_5RĖ??6??6??6angeES4_??ect_IiEE???6angeES4_ޖect_IiEE???6??6??76??8GpuMatND??7HostMemѦ10DeviceInfo??5Event15queryIfCompleteEv?GpuMatӗStream??7reshapeEii??9??8downloadERKNS_12_OutputArrayEם6copyToERKNS_12_OutputArrayE????7locateROIERNS_5Size_IiEERNS_6Point_IiEE??convertToERKNS_12_OutputArrayEi????7??76createContinuousEiiiRKNS_12_OutputArrayE??8??1??2getOutputMatERKNS_12_OutputArrayEiiiRNS0_6StreamE??0??4deviceSupportsENS0_10FeatureSetE٨9???7ensureSizeIsEnoughEiiiRKNS_12_OutputArrayE??registerPageLockedERNS_3MatE??getNppErrorMessageEi??setBufferPoolUsageEb????7getInputMatERKNS_11_InputArrayERNS0_6StreamE??resetDeviceEvӨTargetArchsߨsetGlDeviceEi????7??7syncOutputERKNS0_6GpuMatERKNS_12_OutputArrayERNS0_6StreamE??BufferPool????7??7createEiii??uploadERKNS_11_InputArrayE??О7??7?7RNS0_6StreamEѝ??7??7RNS0_6StreamE???7??7R??NS0_6StreamE??KNS_11_InputArrayERNS0_6StreamE????7П7NS0_6StreamE??KNS_11_InputArrayERNS0_6StreamE????7?7RNS0_6StreamE??ddRNS0_6StreamE????7??7D??C??9setFieldsENSt3__16vectorIiNS2_9allocatorIiEEEEiNS3_ImNS4_ImEEEE??6ʤ7releaseEv??2Ev??1Ev????7??72ENSt3__16vectorIiNS2_9allocatorIiEEEEiPvNS3_ImNS4_ImEEEE??1ENSt3__16vectorIiNS2_9allocatorIiEEEEiPvNS3_ImNS4_ImEEEE????7??7??7c??18createGpuMatHeaderE??5cloneE??8downloadERKNS_12_OutputArrayE?lE??vNS0_6GpuMatEEv?RKNSt3__16vectorINS_5RangeENS2_9allocatorIS4_EEEE??NSt3__16vectorIiNS2_9allocatorIiEEEENS_5RangeES7_?Я7NSt3__16vectorIiNS2_9allocatorIiEEEENS_5RangeES7_֣vܣ??7??7??7??7GpuData??HostMem??C??D??2Em??1Em????7??72Ev??1EvĤ??7??7createENSt3__16vectorIiNS2_9allocatorIiEEEEi??uploadERKNS_11_InputArrayEʥ??7??7v??RNS0_6StreamEĥ??7??7??7RNS0_6StreamE???7??7RNS0_6StreamE????712getAllocatorENS1_9AllocTypeEŦ6createEiii˦7releaseEv????7??77reshapeEii??18createGpuMatHeaderEv????7??7??7??70unregisterPageLockedERNS_3MatE??5getCudaEnabledDeviceCountEv??4printShortCudaDeviceInfoEi??8getCudaDriverApiErrorMessageEi????7??7setDeviceEiǨgetDeviceEvͨ??7??7??7??79builtWithENS0_10FeatureSetE??6has??17hasEqualOrLessPtxEii?20hasEqualOrGreater???7PtxEii֩BinEiiܩ??7??7??7PtxEii??BinEii????7??74nameEv??1??8??9??2ۯ??7 4??7??2??8maxT?3??1??6??9m??0??5memoryClockRateEvŵtotalGlobalMemEv??memoryBusWidthEv˵??7sharedMemPerBlockEv??maxݲconcurrentKernelsEv??unifiedAddressingEv????7regsPerBlockEv??m??isCompatibleEv???7warpSizeEvܬmemPitchEv?pciBusIDEv????7??7hreadsPerBlockEv??exture???7maxThreadsDimEv??totalConstMemEv????7maxGridSizeEv??computeModeEv??pciD??l2CacheSizeEvѵqueryMemoryERmS2_ݵ??7clockRateEv??tccDriverEv????7??7aخinorVersionEv??jorVersionEv?x????7??7textureAlignmentEvկcanMapHostMemoryEv??surfaceAlignmentEv?asyncEngineCountEv????71texturePitchAlignmentEv??4̰7maxThreadsPerMultiProcessorEv׵??7ultiProcessorCountEvưax????7kernelExecTimeoutEnabledEv?maxѳ??7integratedEv??ECCEnabledEv????7??7??7TextureűSurface??1DEv߱2DEv??3DEvײ??71D?2D??MipmapEv??LinearEv????7??7??7MipmapEvŲLinearEv˲GatherEvѲ??7??7??7??7TextureCubemapEv??SurfaceCubemapEv???7Texture??Surface??1DLayeredEvų2DLayeredEv˳??7??7TextureCubemapLayeredEv??SurfaceCubemapLayeredEv????71DEv??2DEv??3DEv????7??7??71DLayeredEv۴2DLayeredEv???7??7??7??7??7??7??7??7eviceIDEv??omainIDEv????7??7??7??7??7??7??7??7??7??7??7printCudaDeviceInfoEi??setBufferPoolConfigEimi????7??7??7??7C?1??9waitEventERKNS0_5EventE??4NullEv??2E??1E??v??RKNS_3PtrINS0_6GpuMat9AllocatorEEE?m????7v?RKNS_3PtrINS0_6GpuMat9AllocatorEEE?m????7??7??7??7??715queryIfCompleteEv??7cudaPtrEv??cvMS1_KFvvEEv????77waitForCompletionEv??9enqueueHostCallbackEPFviPvES2_????7??7??7??7??7??7??7??7CĹ9getBufferEiii??2ERNS0_6StreamE?1ERNS0_6StreamE???7??7??7C??6recordERNS0_6StreamE?1??2ENS1_11CreateFlagsEպ1ENS1_11CreateFlagsEۺ??7??7??7??77waitForCompletionEv??1elapsedTimeERKS1_S3_????7??7??7??7??7??7veMemStoragePos?mpleLine????7??7??7q??t????7Block??BlockSize??ReaderPos????7Elem˼ReaderPos????7ElemIdx??PĿIn??Remove??S????8??8SeqToArray??Color????8art??dErrReport??Read?AppendToSeqƾWriteSeq̾FindContours??Seq??ChainPoints????8??8SeqHeaderForArray??HistHeaderForArray??Ќ8??8??8??8nd??igenVV??xp??r??llipse??qualizeHist??WriteSeq??FindContours???8??8??8?8ush߿op??artition????8Front??Multi????8Front??Multi???8??8sert??vert????8Slice????8Slice????8??8q??t????8lice??ort??earch????8??8??8??8??9??9??9??9??9??9??9??9Scanner????9Add??Remove??VtxDegree??Vtx??Edge????9Vtx??Edge??ByPtr??????9ByPtr??????9??9nd??l??t??GraphEdge??NextContour??Co??ByPtr??????:??:ByPtr??????:??:??:ByPtr??????:??:??:??:?:??:r??hresh??eeToNodeSeq??a????:??:?:??:oveNodeFromTree??ap????:e??ojectPCA??vTreeNode??CornerDetect???:eqPushEP5CvSeqPKv??o??amples????:e??qrBoxFilterERKNS_11_InputArrayERKNS_12_OutputArrayEiNS_5Size_IiEENS_6Point_IiEEbi??qPushFrontEP5CvSeqPKv??tUseOpenVXEb??gmentation21IntelligentScissorsMB????:л:qPopFrontEP5CvSeqPv??tIdentityERKNS_17_InputOutputArrayERKNS_7Scalar_IdEE??pFilter2DERKNS_11_InputArrayERKNS_12_OutputArrayEiS2_S2_NS_6Point_IiEEdi???:eqRemoveEP5CvSeqi??o???:l??ubeRootEf??vtColorERKNS_11_InputArrayERKNS_12_OutputArrayEii??alcHistE??earSeqEP5CvSeq??ipLineENS_5????:?:RemoveSliceEP5CvSeq7CvSlice??InsertSliceEP5CvSeqiPKv??н:?:2??3ocl3??2getTypeFromDXGI_FORMATEi??0getTypeFromD3DFORMATEi??3convertToD3D1??5convert??7convertFromDirect3DSurface9EP17IDirect3DSurface9RKNS_12_OutputArrayEPv???:??:2initializeContextFromD3D1??8initializeContextFromDirect3DDevice9ExEP18IDirect3DDevice9Ex??6initializeContextFromDirect3DDevice9EP16IDirect3DDevice9??1DeviceEP12ID3D11Device??0DeviceEP12ID3D10Device????:??:??:??:1Texture2DERKNS_11_InputArrayEP15ID3D11Texture2D??0Texture2DERKNS_11_InputArrayEP15ID3D10Texture2D????:FromD3D1??ToDirect3DSurface9ERKNS_11_InputArrayEP17IDirect3DSurface9Pv??1Texture2DEP15ID3D11Texture2DRKNS_12_OutputArrayE??0Texture2DEP15ID3D10Texture2DRKNS_12_OutputArrayE????:??:??:??:??:??:FT??CT2D6createEiiii??1D6createEiiiiPb??2D6createEiiiiiii???;Ь;ftERKNS_11_InputArrayERKNS_12_OutputArrayEii??ctERKNS_11_InputArrayERKNS_12_OutputArrayEi??п;ftERKNS_11_InputArrayERKNS_12_OutputArrayEii??ctERKNS_11_InputArrayERKNS_12_OutputArrayEi????;ulSpectrumsERKNS_11_InputArrayES2_RKNS_12_OutputArrayEib??orphologyExERKNS_11_InputArrayERKNS_12_OutputArrayEiS2_NS_6Point_IiEEiiRKNS_7Scalar_IdEE????;??<??<??<OptimalDFTSizeEi??GaussianKernelEidi????<??<??<??<??<1isDirectoryERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??3glob_relativeERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEESA_RNS2_6vectorIS8_NS6_IS8_EEEEbb??0remove_allERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE?5createDirectoryERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??7????@lobENSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEERNS0_6vectorIS6_NS4_IS6_EEEEb??emmERKNS_11_InputArrayES2_dS2_dRKNS_12_OutputArrayEi??Р@globERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEESA_RNS2_6vectorIS8_NS6_IS8_EEEEbb??joinERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEESA_??г@??@ЇBfmiS0_mi??dmiS0_mi????B??BfmiS0_mi??dmiS0_mi????B??B32fEPfmS1_S1_mS1_miii??64fEPdmS1_S1_mS1_miii????B??CterminantERKNS_11_InputArrayE??mosaicingERKNS_11_InputArrayERKNS_12_OutputArrayEii????CnvertERKNS_11_InputArrayERKNS_12_OutputArrayEi??mreadERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEERNS0_6vectorIS6_NS4_IS6_EEEEi???D7computeERKNS_11_InputArrayERKNS_12_OutputArrayE??9backSubstERKNS_11_InputArrayES3_S3_S3_RKNS_12_OutputArrayE??clERKNS_11_InputArrayEi??S6_S6_i??i????DвDigenERKNS_11_InputArrayERKNS_12_OutputArrayES5_??r????D??DolveERKNS_11_InputArrayES2_RKNS_12_OutputArrayEi??plitERKNS_????D??E??E??EVDecompERKNS_11_InputArrayERKNS_12_OutputArrayES5_S5_i??ubdiv2D????E??E??E??Elve??rt??bel????ECubic??Poly????ED??BkSb????E??FDA??UTERKNS_11_InputArrayES2_RKNS_12_OutputArrayE??1??C??7??D??4loadERKNS??3ldaERKNS_11_InputArrayES3_??5subspaceProjectERKNS_11_InputArrayES3_S3_??9subspaceReconstructERKNS_11_InputArrayES3_S3_??1reconstructERKNS_11_InputArrayE????F??F??F2E??1E??i??RKNS_11_InputArrayES3_i????Gi??RKNS_11_InputArrayES3_i????G?GcomputeERKNS_11_InputArrayES3_??projectERKNS_11_InputArrayE??ШG?G2Ev??1Ev???G??GKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE??NS_11FileStorageE????GиGt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE??_11FileStorageE????G??G??G??H??H8internal1??1??5??7writeLogMessageExENS1_8LogLevelEPKcS5_iS5_S5_??getGlobalLogTagEv??writeLogMessageENS1_8LogLevelEPKc????H4??1??registerLogTagEPNS1_6LogTagE??setLogTagLevelEPKcNS1_8LogLevelE??getLogTagLevelEPKc????H??H??HgetLogLevelEv??setLogLevelENS1_8LogLevelE????H??H??H??IlveLPERKNS_11_InputArrayES2_RKNS_12_OutputArrayE??rtIdxERKNS_11_InputArrayERKNS_12_OutputArrayEi????I??I??JagnitudeERKNS_11_InputArrayES2_RKNS_12_OutputArrayE??inMax????JhaseERKNS_11_InputArrayES2_RKNS_12_OutputArrayEb??yrUpERKNS_11_InputArrayERKNS_12_OutputArrayERKNS_5Size_IiEEi????J??J??J1??9softfloatE??1_InputArrayERKNS_12_OutputArrayE??0softdoubleE????J1??9softfloatE??1_InputArrayERKNS_12_OutputArrayE??0softdoubleE????J1??9softfloatES2_??1_InputArrayEdRKNS_12_OutputArrayE??0softdoubleES2_????KqrtERKNS_??wapERNS_??ortERKNS_11_InputArrayERKNS_12_OutputArrayEi??1??9softfloatE??1_InputArrayERKNS_12_OutputArrayE??0softdoubleE????KheckRangeERKNS_11_InputArrayEbPNS_6Point_IiEEdd??varrToMatEPKvbbiPNS_10AutoBufferIdLm136EEEÔonvexHullERKNS_11_InputArrayERKNS_12_OutputArrayEbb????KatchNaNsERKNS_17_InputOutputArrayEd??olylinesERKNS_17_InputOutputArrayE????K??K??KrtToPolar??lcĀnny????Kl??w??int??arToCart??yLine????K??K??KPolar????K??Ko??etRNGSeedEi??lveCubicERKNS_11_InputArrayERKNS_12_OutputArrayE??ftdoubleC????KlvePolyERKNS_11_InputArrayERKNS_12_OutputArrayEi??ftfloatC????LШLЫLfastAtan??Cholesky??normHammingEPKh??cvt??SepFilter2D6createEiiiPhiS2_iiidi??sepFilter2DEiiiPhmS1_miiiiiiS1_iS1_iiidi??32fEPKfS2_Pfib??64fEPKdS2_Pdib???M?MзMmagnitude??cvt??32fEPKfS2_Pfi??64fEPKdS2_Pdi???M??M32fEPKfPfi??64fEPKdPdi????M??Mqrt??plit8uEPKhPPhii??32fEPKfPfi??64fEPKdPdi????M??M32fEPKfPfi??64fEPKdPdi????M??M32fEPKfPfi??64fEPKdPdi????M??MexpEPK??logEPK??fPfi??dPdi????M??MfPfi??dPdi????M??MfS2_Pfi??dS2_Pdi????M??MfPfi??dPdi????M??MfPfi??dPdi????M??MastAtan2Eff??loodFillERKNS_17_InputOutputArrayE????M32fEPKfmS2_mfS2_mfPfmiiii??64fEPKdmS2_mdS2_mdPdmiiii????T?T32fcEPKfmS2_mfS2_mfPfmiiii??64fcEPKdmS2_mdS2_mdPdmiiii????T??T?Trans??hresholdERKNS_11_InputArrayERKNS_12_OutputArrayEddi??formERKNS_11_InputArrayERKNS_12_OutputArrayES2_??poseERKNS_11_InputArrayERKNS_12_OutputArrayE????UperspectiveTransformERKNS_11_InputArrayERKNS_12_OutputArrayES2_??allocSingletonBufferEm??checkHardwareSupportEi??getRotationMatrix2D_ENS_6Point_IfEEdd??minEnclosingTriangleERKNS_11_InputArrayERKNS_12_OutputArrayE????U??UCovarMatrixE??BackProjectE??PKNS_3MatEiRS0_S3_ii??RKNS_11_InputArrayERKNS_12_OutputArrayERKNS_17_InputOutputArrayEii????U??UulTransposedERKNS_11_InputArrayERKNS_12_OutputArrayEbS2_di??atchTemplateERKNS_11_InputArrayES2_RKNS_12_OutputArrayEiS2_????U??UdotERKNS_11_InputArrayE??invEi??mulERKNS_11_InputArrayEd????V??VЗVns??ce۔form??pose???V??VЬVCovarMatrix??P??EMD2??Arr??BayesianProb????VкV??V??VCA??robDensity????V??VackProjectPCAˁo????VMatAllocator̂_OutputArray??segmentation21IntelligentScissorsMB10getContourERKNS_6Point_IiEERKNS_12_OutputArrayEb??3mapEPNS_8UMatDataENS_10AccessFlagE??5unmapEPNS_8UMatDataE??8downloadEPNS_8UMatDataEPviPKmS5_S5_S5_??6uploadEPNS_8UMatDataEPKviPKmS6_S6_S6_??4copyEPNS_8UMatDataES2_iPKmS4_S4_S4_S4_b??23getBufferPoolControllerEPKcÅ??Z??Z??Z1EЄ2E??i??v͇NS_5Size_IiEEiԉRK??OS0_?PKii??ii??PvPKm??????Z1Ev??2EvǍ??Z??Z??[??[9??5getStdAllocatorEvˆ0??3reserveBufferEm??getDefaultAllocatorEvņsetDefaultAllocatorEPNS_12MatAllocatorEц??[?[??[Mat??HammingclEPKhS2_i??SizeeqERKS0_??Expr???[?[vLJiӇNS_5Size_IiEEi??RKӊOS0_??[??[ii?PKii???[RKNS_7Scalar_IdEE??Pvm??createE??addrefEv??resizeEm??i?RKNSt3__16vectorIiNS1_9allocatorIiEEEEi??NS_5Size_IiEEi??ii??PKii???[?[RKNS_7Scalar_IdEE??Pvm???[?[??[RKNS_7Scalar_IdEE??Pvm????[RKNS_7Scalar_IdEE??Pvm????[??[??[RKNS_7Scalar_IdEENJPvPKm????[о[RKNS_7Scalar_IdEE͊??[?[NSt3__16vectorIiNS1_9allocatorIiEEEEi??S0_????[RKNS_7Scalar_IdEE??PvPKmŐ??[NSt3__16vectorIiNS1_9allocatorIiEEEEi?S0_׌??[RKNS_7Scalar_IdEE??PvPKmː??[??[??[RKNS??PKNS_5RangeEѐc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3eyeE??Cޛ6ޝaSE??8copySizeERKS0_??7releaseEvۣD??1??20updateContinuityFlagEv??9adjustROIEiiii??4??5??iiiNS_14UMatUsageFlagsE??NS_5Size_IiEEiNS_14UMatUsageFlagsE??дcеc??cнc??c??c??g??h3عC??6?Dػ7?aSERK??5޽1??Hdr?ptrE??C??5clearEv??2EiPKii??1EiPKii????kЊkЌk2E??1EкvʺiPKii?RK????kv?iPKii??RK????k??kcreateEiPKii??addrefEv????k??kS0_??NS_3MatEҽ??k??kS0_һNS_3MatE????k2Ev?1Ev????kreleaseEv??newNodeEPKimؽ??k??kS0_??NS_3MatE????k??k?k8assignToERS0_i??9convertToER??4hashE??6copyToER????kS0_id??NS_3MatEidd????ki??PKi̽?ki????kiƽ??k??k??k??kclearEv??eraseE??kS0_??NS_3MatE????k??k??ki??PKibPm?bPm??iǾ??kbPmؾibPm޾??k??k??kii??PKiPmſPm??iPm????k0removeNodeEmmm??3resizeHashTabEm˿??k??k??k??k9SparseMatEi??11_InputArrayE????lLocERKNS_??IdxERKNS_11_InputArrayEPdS3_PiS4_S2_??9SparseMatEPdS3_PiS4_??11_InputArrayEPdS3_PNS_6Point_IiEES6_S2_????l9SparseMatERS0_di??11_InputArrayERKNS_17_InputOutputArrayEddiiS2_????l??l??l??n??n??o_InputArray??FileStorage??RotatedRect?7get??4??1??9getGpuMatEv??6??8??5??Mat_Ei??UMatEi????pkindEv??s??typeEi??rowsEi??colsEi??dimsEi????pizeEi??tepEi????p??p??p2??3getUMatVectorERNSt3__16vectorINS_4UMatENS1_9allocatorIS3_EEEE??5getGpuMatVectorERNSt3__16vectorINS_4cuda6GpuMatENS1_9allocatorIS4_EEEE??1isSubmatrixEi??get??isContinuousEi??MatVectorERNSt3__16vectorINS_3MatENS1_9allocatorIS3_EEEE??OGlBufferEv????p??p??p??p??p??p??psizendEPii??offsetEi??copyToERKNS_12_OutputArrayE????p??qsameSizeERKS0_??channelsEi??ЙqtotalEi??depthEi??emptyEv????q?q?q??qУq?q?qеq??qRKS0_??7releaseEv??9??6??1??5??4moveERNS_??пq??qfixed??getMatRefEi??SizeEv??TypeEv????q??qcreateE??neededEv??assignERKNS??NS_5Size_IiEEiibNS0_9DepthMaskE??i????qPKiiibNS0_9DepthMaskE??iiibNS0_9DepthMaskE????q??r4createSameSizeERKNS_11_InputArrayEi??0getUMatRefEi??2getGpuMatRefEv??5get??3getHostMemRefEv????rclearEv??setToERKNS_11_InputArrayES3_????r??r??r??rкrGpuMatVecRefEv??OGlBufferRefEv??лr?r?r?r_??t3__16vectorINS_??4UMatE??3MatE????r??r4UMatE??3MatE????r??r4UMatENS1_9allocatorIS3_EEEE??3MatENS1_9allocatorIS3_EEEE????r??r??r??tanStdDevERKNS_11_InputArrayERKNS_12_OutputArrayES5_S2_??dianBlurERKNS_11_InputArrayERKNS_12_OutputArrayEi????t??u16uEPPKtPtii??32sEPPKiPiii??64sEPPKxPxii????u??u??uPKNS_3MatEmRKNS_12_OutputArrayE??RKNS_11_InputArrayERKNS_12_OutputArrayE????u??v??v??winERKNS_11_InputArrayERKNS_12_OutputArrayEib??axERKNS_11_InputArrayERKNS_12_OutputArrayEib????w?wi??S2_i??i??????xi??????x??xfS2_i??hS2_i????x??xiS2_??S2_iS2_????x??y??y??y??ycl??glÞ2??1??5??9??7??6??8??32buildOptionsAddMatrixDescriptionERNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEERKS7_RKNS_11_InputArrayE??8??2OpenCLExecutionContext??0getOpenCLErrorStringEi??5predictOptimalVectorWidthERKNS_11_InputArrayES3_S3_S3_S3_S3_S3_S3_S3_NS0_17OclVectorStrategyE?3checkOptimalVectorWidthEPKiRKNS_11_InputArrayES5_S5_S5_S5_S5_S5_S5_S5_NS0_17OclVectorStrategyE?getOpenCLAllocatorStatisticsEv??predictOptimalVectorWidthMaxERKNS_11_InputArrayES3_S3_S3_S3_S3_S3_S3_S3_???{cl??gl??22OpenCLExecutionContext??7??5??6??8??1??1??9??8getQueueEv??4bindEv??0getContextEv??7cloneWithNewQueueE????{getDeviceEv??useOpenCLEv????{Context??Image2D3ptrEv??Programƕ6??3ptrEv??8ndevicesEv??24getOpenCLContextPropertyEi??deviceEm??useSVMEv????{??{??{1??6createERKNS??7releaseEv??2setUseOpenCLEb??0getCurrentEv??3getCurrentRefEv????{??{ 0have??7??2??1??3?8getOpenCLAllocatorEv??6convertFromImageEPvRNS_4UMatE??5getPlatfomsInfoERNSt3__16vectorINS0_12PlatformInfoENS1_9allocatorIS3_EEEE??4??OpenCLEv??AmdFftEv????{?|??|v??RKNS0_5QueueE???|Queue??Timer??C??D??10getDefaultEv??6??aSE??1E??2E??RK??v˃OS1_??NS0_7ContextERKNS0_6DeviceE??S1_????|??|1Ev??2Ev???|Queue??Timer10durationNSEv??3ptrEv??17getProfilingQueueEv„??|0_7ContextERKNS0_6DeviceE??t3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEPvSB_SB_فRKNS0_5QueueE??????|??|Device??Kernel?3ptrEv??4??1??2??7versionEv??8vendorIDEv??9availableEv??У|?|??|useOpenCLEv??KernelArgȄtypeToStrEi????|isOpenCLActivatedEv??convertFromBufferEPvmiiiRNS_4UMatE???|setUseOpenCLEb??PlatformInfo߁??|haveAmdBlasEv??kernelToStrERKNS_11_InputArrayEiPKcޙ??|??|haveSVMEv??Context??Program??Image2D????|finishEv??Device??Kernel˅??|??|finishEv??createERKNS0_7ContextERKNS0_6DeviceE????|Platform??internal??C??D??aSE??10getDefaultEv??2E??1E??v??RKS1_??OS1_????|v??RKS1_??OS1_????|2Ev??1Ev????|??|и|?|RKS1_??OS1_????|?|??|??|Platform3ptrEv??internal12ProgramEntrycvRNS0_13ProgramSourceEEv????|??|C??3setEPv??aSE??D??10??2E??1E??v??Pv??RKS1_??OS1_????|v??Pv??RKS1_??OS1_????|??|??|??|??|??|RKS1_??OS1_????|??|??|??|2Ev??1Ev????|??|??|fromHandleEPv??getDefaultEv????|nameEv??typeEv????| 0??6??3??8??1??7??5??4??2??9imagePitchAlignmentEv??extensionsEv??vendorNameEv????|0??2??1??5??3??4pr??6preferredVectorWidthDoubleEv??isExtensionSupportedERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??nativeVectorWidthIntEv????|??|??|??|OpenCL_C_VersionEv??image??m??printfBufferSizeEv????|OpenCLVersionEv??driverVersionEv??globalMemSizeEv????|deviceVersionM??globalMemCache??imageMaxBufferSizeEv??ajorEv??inorEv????|??|??|??|addressBitsEv??maxSamplersEv????|??|compilerAvailableEv??hostUnifiedMemoryEv??imageMaxArraySizeEv??max????|linkerAvailableEv??image??max????|doubleFPConfigEv??singleFPConfigEv????|??|halfFPConfigEv??endianLittleEv??localMem??imageSupportEv????|??|errorCorrectionSupportEv??globalMemCacheLineSizeEv??imageFromBufferSupportEv??nativeVectorWidth????|executionCapabilitiesEv??intelSubgroupsSupportEv??maxConstantBufferSizeEv??nativeVectorWidth????|SizeEv??TypeEv????|??|??|??|SizeEv??TypeEv????|??|??|??|??|??|imageBaseAddressAlignmentEv??preferredVectorWidth????|2DMaxWidthEv??3DMax????|2DMaxHeightEv??3DMaxHeightEv????|WidthEv??DepthEv????|??|??|??|??|??|ClockFrequencyEv??WriteImageArgsEv????|Co??MemAllocSizeEv??WorkItemDimsEv??mputeUnitsEv??nstantArgsEv????|??|??|??|ax??emBaseAddrAlignEv??ParameterSizeEv??ReadImageArgsEv??Work????|??|??|??|GroupSizeEv??ItemSizesEPm????|??|??|??|CharEv??LongEv??HalfEv????|ShortEv??FloatEv????|??}??}??}nativeVectorWidthDoubleEv??preferredVectorWidthIntEv??Ђ}??}eferredVectorWidth??ofilingTimerResolutionEv??CharEv??LongEv??HalfEv????}ShortEv??FloatEv????}??}??}??}??}Љ}??}??}??}C??D??7??6createE??aSE??1??4Impl??9setUseSVMEb??2E??1E??v??i??RKS1_??OS1_????}v??i??RKS1_??OS1_????}2Ev??1Ev????}releaseEv??getProgERKNS0_13ProgramSourceERKNSt3__112basic_stringIcNS5_11char_traitsIcEENS5_9allocatorIcEEEERSB_????}??}??}i??v??RKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE????}??}З}??}??}RKS1_??OS1_????}??}??}?}??}0??1UserContextD??4??getDefaultEb??unloadProgERNS0_7ProgramE??from???}?}7getProgERKNS0_13ProgramSourceERKNSt3__112basic_stringIcNS6_11char_traitsIcEENS6_9allocatorIcEEEERSC_??19__init_buffer_poolsEv????}C??DԊ6createERKNS0_13ProgramSourceERKNSt3__112basic_stringIcNS5_11char_traitsIcEENS5_9allocatorIcEEEERSB_??aSE??4readERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEESA_??9getPrefixERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??1E??2E??v??RK??OS1_???}??}HandleEPv??DeviceERKNS0_6DeviceE???}??}??}??}??}??}2Ev??1Ev??0Ev????}??}??}setUserContextENSt3__110type_indexERKNS2_10shared_ptrINS1_11UserContextEEE؀getUserContextENSt3__110type_indexEހ??}??}attachContextERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEPvSA_SA_ӁProgramSource????}??}C?D??aSE??1E??2E??Pv??vחRKS1_?OS1_????}2PlatformInfoɂ3ProgramSource֒4nameEv??12??9getDeviceERNS0_6DeviceEiƘ6vendorEv̘7versionEvҘ??}1Ev??2Ev???}vŃRKуOS1_????}??}NS0_7ContextERKNS0_6DeviceE??S1_????}??}??}??}RKS1_??OS1_????}??}??}??}??}??}C?8ConstantERKNS_3MatEŅ2E??1E??v??iPNS_4UMatEiiPKvm????}v??iPNS_4UMatEiiPKvm????}??}??}??~C??6createEPKcRKNS0_??aSE??D??3??4??7runTaskEbRKNS0_5QueueE?12runProfilingEiPmS2_RKNS0_5QueueE??2Ĕ1E??v?PKcRKNS0_??RKS1_??OS1_????~v??PKcRKNS0_??RKS1_??OS1_????~7ProgramE??13ProgramSourceERKNSt3__112basic_stringIcNS7_11char_traitsIcEENS7_9allocatorIcEEEEPSD_???~7ProgramE??13ProgramSourceERKNSt3__112basic_stringIcNS7_11char_traitsIcEENS7_9allocatorIcEEEEPSD_????~7ProgramE?13ProgramSourceERKNSt3__112basic_stringIcNS7_11char_traitsIcEENS7_9allocatorIcEEEEPSD_????~??~??~Ї~??~??~RKS1_??OS1_????~??~??~Љ~2EvȊ1EvΊ??~??~1Ev?2Ev????~3ptrEv??5emptyEv??1??2????~??~setEi??runEiPmS2_bRKNS0_5QueueE??PKvmыRKNS׋??~0_?_4UMatE??7Image2DE??9KernelArgE????~Й~??~??~??~Impl3runEiPmS3_bPxRKNS0_5QueueE?run_EiPmS2_bRKNS0_5QueueE???~??~??~Є3workGroupSizeEv??2localMemSizeEv????9preferedWorkGroupSizeMultipleEv?0compileWorkGroupSizeEPm??????ВC͏D??aSE??10fromBinaryERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEESA_PKhmSA_??8fromSPIRERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEESA_PKhmSA_??2Eۏ1E??v??RK??PKc?OS1_Ē??v??RK??PKc?OS1_ʒ??NSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE?S1_??SA_SA_SA_????ЕNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEґS1_??SA_SA_SA_?????????????2Ev??1Ev??????????RKS1_??OS1_В????Н?6sourceEv?4hashEv??????????v??RK??OS1_???NS0_13ProgramSourceERKNSt3__112basic_stringIcNS5_11char_traitsIcEENS5_9allocatorIcEEEERSB_??S1_??????NS0_13ProgramSourceERKNSt3__112basic_stringIcNS5_11char_traitsIcEENS5_9allocatorIcEEEERSB_??S1_???????RKS1_??OS1_??Ю??Я?а3ptrEv??6sourceEv??5writeERNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEŖ9get˖????????PrefixEv??BinaryERNSt3__16vectorIcNS2_9allocatorIcEEEE????????????????vїPvݗRKS1_?OS1_??????????????RKS1_??OS1_??????????deviceNumberEv??versionMؘ????????ajorEv?inorEv???????????memopTypeToStrEiəvecopTypeToStrEiЙconvertTypeStrEiiiPcי?????????Њ?????????C??1??aSE??D??2E??1EÚv??RKߚOS1_????vؚRK??OS1_????NS_4UMatEbb??S1_???NS_4UMatEbb??S1_???4canCreateAliasERKNS_4UMatE؛7isFormatSupportedEiibߛ???????????RKS1_??OS1_??????????????2Ev??1Ev????????1?26isPerformanceCheckBypassedEv??4isOpenCLForcedEv??0isCLBufferERNS_4UMatE???????????CӝD??5startEv??4stopEv??2ERKNS0_5QueueE??1ERKNS0_5QueueE????????2Ev??1Ev????????Ѓ???????л?6??9Texture2D?3ocl23initializeContextFromGLEv??2??1??Buffer??Arrays??renderERKNS0_??C?6??7??1??8copyFromERKNS_11_InputArrayE֢9?2E??1EŠv??iiijb??NS_5Size_IiEEijb??RKNS_11_InputArrayENS1_6TargetEb???v??iiijb??NS_5Size_IiEEijb??RKNS_11_InputArrayENS1_6TargetEb??н?ཊ???о??????????createEiiiNS1_6TargetEb?unbindENS1_6TargetEݤ???releaseEv??mapHostENS1_6AccessE????4setAutoReleaseEbϢ1unmapDeviceE?????NS1_6TargetEb??RNS_4cuda6StreamENS1_6TargetEb????????6??9Texture2DڨBufferˣArrays4bindEv??6copyToERKNS_12_OutputArrayE??5??4bindENS1_6TargetE֤???RNS_4cuda6StreamE?????cloneENS1_6TargetEbϤbufIdEv?????????????unmapHostEv??mapDeviceE?????v??RNS_4cuda6StreamEץ???vХRNS_4cuda6StreamEޥ?Š?Š?Š?ŠCԦ6createEiiNS1_6FormatEb??7releaseEvŨ14setAutoReleaseEb̨8copyFromERKNS_11_InputArrayEbӨ2E?1E??v??iiNS1_6FormatEjb??NS_5Size_IiEENS1_6FormatEjb??RKNS_11_InputArrayEb???Šv??iiNS1_6FormatEjb??NS_5Size_IiEENS1_6FormatEjb??RKNS_11_InputArrayEb???Ê?Ê?Ċ?Ċ?Ŋ?Ŋ?Ŋ?Ɗ?Ɗ?Ɗ?Ɗ6copyToERKNS_12_OutputArrayEib??4bindEv??5texIdEv???Ɗ?Ɗ?Ɗ1??7releaseEv??4set??6??3setColorArrayERKNS_11_InputArrayE?5resetColorArrayEv?8resetTexCoordArrayEv??VertexArrayERKNS_11_InputArrayE??NormalArrayERKNS_11_InputArrayE?AutoReleaseEb???Ɗreset??setTexCoordArrayERKNS_11_InputArrayE??VertexArrayEvګNormalArrayEv???ʊ?ʊ?͊?͊?ъ?ъ?Ԋ?Պ?Պ?Պ9Texture2DENS_5Rect_IdEES5_ͬ6ArraysEԬ?ՊiNS_7Scalar_IdEE??RKNS_11_InputArrayEiNS_7Scalar_IdEE???Պ?Պ?Պ0convertToGLTexture2DERKNS_11_InputArrayERNS0_9Texture2DE??2convertFromGLTexture2DERKNS0_9Texture2DERKNS_12_OutputArrayE???֊?؊1mapGLBufferERKNS0_6BufferENS_10AccessFlagE??3unmapGLBufferERNS_4UMatE???ي?ڊdD??rɯ2Ev??1Ev??0Ev¯?ۊ?ۊ?ۊD?3getENS0_10FormatTypeE??2Ev??1Ev??0Ev???ۊ?ۊ?܊?܊?????????2Evɰ1Evа0Evװ??????Џ????NumThreadsEvɱRectSubPixERKNS_11_InputArrayENS_5Size_IiEENS_6Point_IfEERKNS_12_OutputArrayEi???NumberOfCPUsEv??CPUTickCountEv?VersionM??DerivKernelsERKNS_12_OutputArrayES2_iiibi?????И?hreadNumEv۲ickCountEv????????К????hreadNum??ick??extSize?????14ParallelForAPID۳21setParallelForBackendERKNSt3__11??2Ev?1Ev??0Ev???݋?݋?݋0shared_ptrINS0_14ParallelForAPIEEEb?2basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEb??????C??clERKNS_11_InputArrayES3_i??4readERKNS_8FileNodeEӷ2Eȵ1E?v?RKNS_11_InputArrayES3_i?????v??RKNS_11_InputArrayES3_i?????i??dӶ??i??dڶ??i̶d?Є??????????5writeERNS_11FileStorageE̷7projectERKNS_11_InputArrayEڷ11backProjectERKNS_11_InputArrayE?????࢏RKNS_12_OutputArrayE???????з?RKNS_12_OutputArrayE??????????ComputeERKNS_11_InputArrayERKNS_17_InputOutputArrayERKNS_12_OutputArrayE??ProjectERKNS_11_InputArrayES2_S2_RKNS_12_OutputArrayE??i̹S8_ӹd????i߹d????ď?Ə?ɏ?̏4??C??1??D??7releaseEv??20getDefaultObjectNameERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE??8writeRawERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEPKvm??5writeERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE??Impl??openERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEiS9_?? 4??C?1??D??7??3??6??9??5??2??initEv?openEPKciS3_??getsE??putsEPKc????2EPS0_??1EPS0_???? 3Base64Decoder??4endWriteStructEv??7??6??2??5startNextStreamEv??8??0??1??9convertToCollectionEiRNS_8FileNodeE??C?4initERNS_3PtrINS_17FileStorageParserEEEPci??8??9getUInt16Ev??10getFloat64Ev??1Ev??2Ev???????2Ev??1Ev??0Ev?????releaseEPNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??addNodeERNS_8FileNodeERKNSt3__112basic_stringIcNS4_11char_traitsIcEENS4_9allocatorIcEEEEiPKvi??????????????analyze_file_nameERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEERNS2_6vectorIS8_NS6_IS8_EEEE??resizeWriteBufferEPci??Ќ????m??v???ېC??6isFlowEi??1??5is??3ptrEv??8setValueEiPKvi??aSERKS0_??1E??2E??P??v??RKS0_??KNS_11FileStorageEmm??NS_11FileStorage4ImplEmm????reserveNodeSpaceERNS_8FileNodeEm??startWriteStructEPKciS3_??getCurrentStructEv????FileNode??KeyPoint4hashEv–Subdiv2D??img_hash1??4??5??7??3??ixE??6??8isStringEv??cv??sizeEv??typeEv??keysEv??nameEv??realEv?????beginEv??emptyEv??is?????deEv??7equalToERKS0_??9remainingEv?????p??C??7readRawERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEPvm??aSERKS0_??pE??LEi??v??i????????getsFromFileEPci??write??setBufferPtrEPc????????eofEv??2check_if_write_struct_is_delayedEb?????s??rewindEv??etEofEv??trtodEPcPS2_?????closeFileEv??get_spaceEv???????????flushEv??writeERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??getFSEv????????3startWriteStruct_helperEPKciS3_??5make_write_struct_delayedEPKciS3_??2switch_to_Base64_stateENS_15FileStorage_API11Base64StateE??0processSpecialDoubleEPcPdPS2_??7get_state_of_writing_base64Ev?????2isCollectionEi??7isEmptyCollectionEi?????MapEi??SeqEi??Г??????????CommentEPKcb??RawDataERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEPKvm????????i??d??SA_????????????writeRawDataBase64EPKvmPKc??finalizeCollectionERNS_8FileNodeE?????workaroundEv??parseErrorEPKcRKNSt3__112basic_stringIcNS4_11char_traitsIcEENS4_9allocatorIcEEEES3_i??????о?4??8isOpenedEv??20getFirstTopLevelNodeEv??9getFormatEv??ixE??Impl??rootEi??20getFirstTopLevelNodeEv??4rootEi??ixE??9??1??7getNameEm??????‘?‘?‘RKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??PKc???Ñ?ÑgetFormatEv??buffer???đPtrEv??EndEv???đ1bufferStartEv??0??2getStringOfsERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??6normalizeNodeOfsERmS2_??3Base64Decoder???đ?đ?đwrapMarginEv??getNodePtrEmm???Ƒ?ƑsetNonEmptyEv??parseBase64EPciRNS_8FileNodeE???Ǒ?Ǒ?ˑ?̑?֑isNamedEv??r???֑?ב?ב?ב??SeqEv??MapEv??IntEv????????????????????????readMoreEi??get?????UInt8Ev??Int32Ev??????????????11endOfStreamEv??6getPtrEv?????Ѝ?????????????Ф?2E??1E??v??RKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEiS9_??ऒv??RKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEiS9_?????????6startWriteStructERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEiS9_??4endWriteStructEv??9releaseAndGetStringEv??2writeCommentERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEb??????2Ev??1Ev??0Ev??Ю?????????????????????????endEv??ptrEv??matEv?????ඒ???PKc??RKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE??????’RKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE??PKc??i???Ò?̒?͒?͒?͒i??f??d??RKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE???ϒ?В?Ғ?Ӓi??f??d??SA_??RKNS???Ւ?֒?ؒ?ْi??d??S9_??RKNS???ڒ?ܒ?ݒ_3MatE??1_6vectorIS7_NS5_IS7_EEEE???ޒ?ޒ??v??P??RKS0_????NS_11FileStorage4ImplEmm??KNS_11FileStorageEmm?????????????????????????????is??stringEv??NoneEv??RealEv??????????????iEv??fEv??dEv??????????????І????1E??2E??RK??v??NS_8FileNodeEb??S0_?????eadRawERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEPvm??awSizeEv???????????v??RK????????NS_8FileNodeEb??S0_??М?????С???????࣓?ii??dd??ff??NS???????????t3__1??_??12basic_stringIcNS3_11char_traitsIcEENS3_9allocatorIcEEEERKS9_??6vectorINS_?????nte??m??rnal18WriteStructContext??gralERKNS_11_InputArrayERKNS_12_OutputArrayE??C??D??2ERNS_11FileStorageERKNSt3__112basic_stringIcNS4_11char_traitsIcEENS4_9allocatorIcEEEEiSC_??1ERNS_11FileStorageERKNSt3__112basic_stringIcNS4_11char_traitsIcEENS4_9allocatorIcEEEEiSC_????????2Ev??1Ev????????_??2_6vectorINS_??3MatE??9SparseMatE????????3MatERKS3_??9SparseMatERKS3_??8KeyPointERKS3_??6DMatchERKS3_???•?̕?ڕ?ݕ8KeyPointENS6_ISC_EEEE??6DMatchENS6_ISC_EEEE???ߕ8KeyPointENS3_9allocatorIS5_EEEE??6DMatchENS3_9allocatorIS5_EEEE?????????8gaussianEd??4fillERKNS_17_InputOutputArrayEiRKNS_11_InputArrayES6_b?????????˘?˘and??emapERKNS_11_InputArrayERKNS_12_OutputArrayES2_S2_iiRKNS_7Scalar_IdEE??uERKNS_17_InputOutputArrayERKNS_11_InputArrayES5_??nERKNS_17_InputOutputArrayERKNS_11_InputArrayES5_???̘?͘?ΘArr??Shuffle????????NG_MT19937??otatedRectC??C??4??c??7uniformE??2E??1E??j??v?????seedEj??nextEv?????j??v??????????????v??lE??jEv??iEv??fEv??dEv??????????????ii??ff??dd?????Ё????j??v????????2E??1E??j??y??i??x?????j??y??i??x???????????????? cvNS_10softdoubleEEv??plERKS0_??m??dvERKS0_??rmERKS0_??eqERKS0_??neERKS0_??g??l??????iERKS0_??lERKS0_?????????????????tERKS0_??eERKS0_????????tERKS0_??eERKS0_????????2E??1E??j??y??i??x?????j??y??i??x?????Ѕ????????????????9softfloatE??10softdoubleE?????9softfloatE??10softdoubleE??Џ?9softfloatE??10softdoubleE?????9softfloatE??10softdoubleE???????????????????? cvNS_9softfloatEEv??plERKS0_??m??dvERKS0_??rmERKS0_??eqERKS0_??neERKS0_??g??l????????iERKS0_??lERKS0_??????????????????tERKS0_??eERKS0_??บ?tERKS0_??eERKS0_????????9softfloatES2_S2_??10softdoubleES2_S2_??????ɚ?ؚ?ܚ????????????????д?inERKNS_10softdoubleE??umERKNS_11_InputArrayE???????????16uEPKtPPtii??32sEPKiPPiii??64sEPKxPPxii?????࡜???3MatEPS0_??11_InputArrayERKNS_12_OutputArrayE?????????Ɯ?˜?Ϝ?Ҝ?ԜSdv???ל?ݜ?????Ȟ?ɞallocSingletonNewBufferEm??releaseTlsStorageThreadEv??getPerspectiveTransformE???ʞC??13formatMessageEv??D??2E??1E??v??iRKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEES9_S9_i???ʞv??iRKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEES9_S9_i???ʞ?ʞ?͞?ڞ2Ev??1Ev??0Ev???ڞ?۞?ܞ?ݞ?ޞror??ode??Str??????????get??accumulateWeightedERKNS_11_InputArrayERKNS_17_InputOutputArrayEdS2_??HoughLinesPointSetERKNS_11_InputArrayERKNS_12_OutputArrayEiidddddd??minEnclosingCircleERKNS_11_InputArrayERNS_6Point_IfEERf??CPUFeaturesLineEvՀVersionRevisionEv??AffineTransformE????UseOptimizedEb??BreakOnErrorEb????9setUseIPPEb??1??6useIPPEv???????????TickFrequencyEv?VersionStringEv???????g??c??etBuildInformationEv?oodFeaturesToTrackERKNS_11_InputArrayERKNS_12_OutputArrayEiddS2_????????ajorEv??inorEv???????????rorE??odeERKNS_11_InputArrayERKNS_12_OutputArrayES2_NS_6Point_IiEEiiRKNS_7Scalar_IdEE??iRKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEEPKcSA_i܄RKNS_9ExceptionE?????????????Ќ???????Count??Frequency????????????????????Info?Mode?Status??Џ????Mode??Status??????????????FromIppStatus??Е????C2Ev??D??10detachDataERNSt3__16vectorIPvNS1_9allocatorIS3_EEEE??7???2Ev??1Ev??0Ev???????????10gatherDataERNSt3__16vectorIPvNS1_9allocatorIS3_EEEE??7getDataEvɈ????releaseEv??cleanupEvˆд????????Ɵ0getConfigurationParameter??1getConfigurationParameterStringEPKcS2_??SizeTEPKcm??PathsEPKcRKNSt3__16vectorINS3_12basic_stringIcNS3_11char_traitsIcEENS3_9allocatorIcEEEENS8_ISA_EEEE???˟?ϟ?֟1׊21setUseInstrumentationEb??8??8useInstrumentationEv??0resetTraceEv݋?۟?۟get??setFlagsENS0_5FLAGSE?NodeData?TraceEv֋FlagsEv??۟?۟?۟?۟C??aSERKS1_??D??2E??1EˌPKcS3_iPvbNS0_4TYPEENS0_4IMPLEČRS1_???۟PKcS3_iPvbNS0_4TYPEENS0_4IMPLE??RS1_????????????2Ev??1Ev??????4getIppFeaturesEv??2??9getIppErrorLocationEv?3getIppVersionEv?5useIPP_NotExactEv??8setUseIPP_NotExactEb????setIppStatusEiPKcS2_iގgetIppStatusEv???????????????6Region??1??8traceArgERKNS2_8TraceArgE??17LocationExtraData?4Impl??C͔7destroyEvĕC??4initERKNS3_21LocationStaticStorageE??2ERKNS3_21LocationStaticStorageE?1ERKNS3_21LocationStaticStorageE?????к??5getTraceManagerEv??2TraceManager?????Cё1?D??7releaseEvƔ2ERNS2_23TraceManagerThreadLocalEPS3_RS3_RKNS3_21LocationStaticStorageEx?1ERNS2_23TraceManagerThreadLocalEPS3_RS3_RKNS3_21LocationStaticStorageEx??о?4registerRegionERNS2_23TraceManagerThreadLocalE??1?????enterRegionERNS2_23TraceManagerThreadLocalE??leaveRegionERNS2_23TraceManagerThreadLocalE????????2Ev??1Ev?????? ?ɠ?ˠ2ERKNS3_21LocationStaticStorageE??1ERKNS3_21LocationStaticStorageE˕?ˠ11isActivatedEv??CҕD???????2Ev?1Ev?????2Ev??1Ev???????PKc??i??x??d????????Џ?????ӡconvertERKNSt3__16vectorI??overlapERKS0_S2_??S0_NS1_9allocatorIS0_EEEERNS2_INS_6Point_IfEENS3_IS9_EEEERKNS2_IiNS3_IiEEEE??NS_6Point_IfEENS1_9allocatorIS4_EEEERNS2_IS0_NS5_IS0_EEEEffii???ԡ?ء?ۡ2ERKNS_6Point_IfEES4_S4_ݘ1ERKNS_6Point_IfEES4_S4_??ݡ??6pointsEPNS_6Point_IfEE??1????2boundingRectEv??4boundingRect2fEvř????C?D??4lockEvҚ6unlockEvٚ2EPKNS_12MatAllocatorE??1EPKNS_12MatAllocatorE???????2EvĚ1Ev˚????????C?D??2EPNS_8UMatDataE??1EPNS_8UMatDataE????S2_?????S2_????????2EvЛ1Evכ??????2E?1E??NS_??i??RKS0_??OS0_?14UMatUsageFlagsE??5Size_IiEEi?????NS_לi??RKS0_??OS0_?14UMatUsageFlagsE??5Size_IiEEi?????ii??PKiiߡNS_14UMatUsageFlagsEםRKNS_7Scalar_IdEENS_14UMatUsageFlagsE?????createE??addrefEv??i?NS_5Size_IiEEiNS_14UMatUsageFlagsE??RKNSt3__16vectorIiNS1_9allocatorIiEEEEiNS_14UMatUsageFlagsE??iiNS_14UMatUsageFlagsE??PKiiNS_14UMatUsageFlagsE?????ii??PKii??NS_14UMatUsageFlagsE??RKNS_7Scalar_IdEENS_14UMatUsageFlagsE????????RK??OS0_?NS_7Scalar_IdEE??S0_ԣ??????NS_14UMatUsageFlagsE??RKNS_7Scalar_IdEENS_14UMatUsageFlagsEѡ???NS_14UMatUsageFlagsEʡRKNS_7Scalar_IdEENS_14UMatUsageFlagsEء?????????NS_14UMatUsageFlagsE??RKNS_7Scalar_IdEENS_14UMatUsageFlagsE????????NS_14UMatUsageFlagsE?RKNS_7Scalar_IdEENS_14UMatUsageFlagsE??????????????RKNS??PKNS_5RangeE???????Л?RKNS??PKNS_5RangeE???????cloneEv??emptyEvҦtotalEv٦???copyToERKNS_12_OutputArrayE?getMatENS_10AccessFlagE??handleENS_10AccessFlagE?????RKNS_11_InputArrayE??1Ev??2Ev?????assignToERS0_i??ndoffsetEPm?????convertToERKNS_12_OutputArrayEidd??locateROIERNS_5Size_IiEERNS_6Point_IiEE????ˢ0deallocateEv˦5getStdAllocatorEv???̢?̢?΢?Ϣ?Ѣ?Ң?Ԣ?Ԣ?ۢ?ܢ????_5R٧t3__16vectorINS_5RangeENS3_9allocatorIS5_EEEE?angeES5_?ect_IiEEը??_5R??t3__16vectorINS_5RangeENS3_9allocatorIS5_EEEE??angeES5_Ψect_IiEEܨ??????????????????Ї??????????Б?PKi??diagERKS0_NS_14UMatUsageFlagsEϩonesEѫ???1checkVectorEiib?tEvЪ??????ண???????setToERKNS_11_InputArrayES3_ɪzerosEת?ǣ?ߣi??NS_5Size_IiEEiNS_14UMatUsageFlagsEëiiNS_14UMatUsageFlagsE??PKiiNS_14UMatUsageFlagsEʫ??????i??NS_5Size_IiEEiNS_14UMatUsageFlagsE??iiNS_14UMatUsageFlagsE??PKiiNS_14UMatUsageFlagsEĬ??????????????PKcPKNS1_6vectorIS7_NS5_IS7_EEEESG_??bPKc??????Х?ߥgetParentERKNSt3__112basic_stringI??canonicalERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??cNS2_11char_traitsIcEENS2_9allocatorIcEEEE??wNS2_11char_traitsIwEENS2_9allocatorIwEEEE????????existsERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE?getcwdEv????????????createDirectoriesERKNSt3__112basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEE??getCacheDirectoryEPKcS3_?????C??Dб4lockEv?6unlockEv??1??2EPKc±1EPKcɱ??????2Ev?1Ev?????????????1lock_sharedEv??3unlock_sharedEv???????????Cʲ1?D۴2ERKNSt3__112basic_stringIcNS3_11char_traitsIcEENS3_9allocatorIcEEEEܳ1ERKNSt3__112basic_stringIcNS3_11char_traitsIcEENS3_9allocatorIcEEEEԴ?Ʀ1libraryLoadERKNSt3__112basic_stringIcNS3_11char_traitsIcEENS3_9allocatorIcEEEEʹ4libraryReleaseEv??Ǧ?ͦ2Ev?1Ev???Φ?Ԧ?ڦ9getSymbolEPKc??7getNameEv???ڦ?ڦ24addSamplesDataSearchPathERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEη32addSamplesDataSearchSubDirectoryERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEշ8findFileERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEbbܷ???Ѝ?А?3ocl23initializeContextFromVAEPvb??18convertToVASurfaceEPvRKNS_11_InputArrayEjNS_5Size_IiEE??20convertFromVASurfaceEPvjNS_5Size_IiEERKNS_12_OutputArrayE???????????????ccumulateProductERKNS_11_InputArrayES2_RKNS_17_InputOutputArrayES2_??daptiveThresholdERKNS_11_InputArrayERKNS_12_OutputArrayEdiiid?????Ѝ?????????????Chains?Poly????????????????FilterERKNS_11_InputArrayERKNS_12_OutputArrayEiNS_5Size_IiEENS_6Point_IiEEbi??PointsENS_11RotatedRectERKNS_12_OutputArrayE???????????RKNS_12_OutputArrayEddib?S2_RKNS_12_OutputArrayEddb??????????????vtColorTwoPlaneERKNS_11_InputArrayES2_RKNS_12_OutputArrayEi??onvexityDefectsERKNS_11_InputArrayES2_RKNS_12_OutputArrayE???????????BGRto??HSVtoBGREPKhmPhmiiiibbb??XYZtoBGREPKhmPhmiiiib??LabtoBGREPKhmPhmiiiibbb??YUVtoBGREPKhmPhmiiiibb??HSVEPKhmPhmiiiibbb??XYZEPKhmPhmiiiib??LabEPKhmPhmiiiibbb??BGREPKhmPhmiiiiib??YUVEPKhmPhmiiiibb??????????????????????toBGR5x5EPKhmPhmiiibi??5x5toBGREPKhmPhmiiibi???????BGRtoGrayEPKhmPhmiiiib??GraytoBGREPKhmPhmiiii????????cvt??warpPerspectiveEiPKhmiiPhmiiPKdiiS5_??BGR5x5toGrayEPKhmPhmiii??GraytoBGR5x5EPKhmPhmiii??и?к?RGBAtoMultipliedRGBAEPKhmPhmii??MultipliedRGBAtoRGBAEPKhmPhmii??м??????????TwoPlaneYUVtoBGREPKh??BGRtoTwoPlaneYUVEPKhmPhS3_miiibi??OnePlaneYUVtoBGREPKhmPhmiiibii??m??S2_mPhmiiibi??Phmiiibi??S2_mPhmiiibi???????????ThreePlaneYUVtoBGREPKhmPhmiiibi??BGRtoThreePlaneYUVEPKhmPhmiiibi??????????????i??S2_????????onnectedComponentsERKNS_11_InputArrayERKNS_12_OutputArrayEii??reateHanningWindowERKNS_12_OutputArrayENS_5Size_IiEEi????i?????connectedComponentsWithStatsERKNS_11_InputArrayERKNS_12_OutputArrayES5_S5_ii??rotatedRectangleIntersectionERKNS_11RotatedRectES2_RKNS_12_OutputArrayE?????i???????????????????????ntours??rnerSubPix?????S5_iiNS_6Point_IiEE??iiNS_6Point_IiEE??ॗ???????????Hull2??ityDefects?????Ј?????͘HarrisERKNS_11_InputArrayERKNS_12_OutputArrayEiidi??SubPixERKNS_11_InputArrayERKNS_17_InputOutputArrayENS_5Size_IiEES7_NS_12TermCriteriaE??Џ?ornerEigenValsAndVecsERKNS_11_InputArrayERKNS_12_OutputArrayEiii??reateMorphologyFilterEiiRKNS_11_InputArrayENS_6Point_IiEEiiRKNS_7Scalar_IdEE????????MinEigenVal??Harris??EigenValsAndVecs???Ù?ƙ?ə?͙?ޙ?????????????Ü?ќ??????S5_iii??iii???????????Size_I??Rect_IiEERNS_6Point_IiEES4_??iEERNS_6Point_IiEES4_??xEERNS_6Point_IxEES4_??????????????llipse2PolyENS_6Point_I??qualizeHistERKNS_11_InputArrayERKNS_12_OutputArrayE??iEENS_5Size_IiEEiiiiRNSt3__16vectorIS1_NS4_9allocatorIS1_EEEE??dEENS_5Size_IdEEiiiiRNSt3__16vectorIS1_NS4_9allocatorIS1_EEEE??௞????ʞ?Ԟ??6Point_IiEES4_RKNS_7Scalar_IdEEiii??5Rect_IiEERKNS_7Scalar_IdEEiii??????????NS_6Point_IiEENS_5Size_IiEEdddRKNS_7Scalar_IdEEiii??RKNS_11RotatedRectERKNS_7Scalar_IdEEii????????PKNS_6Point_IiEEiRKNS_7Scalar_IdEEii??RKNS_11_InputArrayERKNS_7Scalar_IdEEii???lPolyERKNS_17_InputOutputArrayE??ter2DERKNS_11_InputArrayERKNS_12_OutputArrayEiS2_NS_6Point_IiEEdi??PPKNS_6Point_IiEEPKiiRKNS_7Scalar_IdEEiiS4_??RKNS_11_InputArrayERKNS_7Scalar_IdEEiiNS_6Point_IiEE?????PKPKNS_6Point_IiEEPKiibRKNS_7Scalar_IdEEiii??RKNS_11_InputArrayEbRKNS_7Scalar_IdEEiii???ןutTextERKNS_17_InputOutputArrayERKNSt3__112basic_stringIcNS3_11char_traitsIcEENS3_9allocatorIcEEEENS_6Point_IiEEidNS_7Scalar_IdEEiib??yrDownERKNS_11_InputArrayERKNS_12_OutputArrayERKNS_5Size_IiEEi???ޟ??????????????rawContoursERKNS_17_InputOutputArrayERKNS_11_InputArrayEiRKNS_7Scalar_IdEEiiS5_iNS_6Point_IiEE??ivSpectrumsERKNS_11_InputArrayES2_RKNS_12_OutputArrayEib???????????2Poly????о?࿠? ?ĠarPolar???ƠR???Ǡ?ɠ?ʠl??ter2D??ConvexPoly??Poly???̠?Π?Ϡ?Ѡ?ՠ?٠?С???rapperEMDERKNS_11_InputArrayES2_iS2_NS_3PtrIfEERKNS_12_OutputArrayE??arpAffineERKNS_11_InputArrayERKNS_12_OutputArrayES2_NS_5Size_IiEEiiRKNS_7Scalar_IdEE???Ţi??S5_iibd??bd??ibd???Ţ?Ƣୣண????????????????Ӧ??S2_NS_6Point_IiEENS_7Scalar_IdEEPNS_5Rect_IiEES6_S6_i??NS_6Point_IiEENS_7Scalar_IdEEPNS_5Rect_IiEES6_S6_i???ڱ?Ĵ?ƴ?δ?޴?????xPoints??undingRect????????PolygonTest??SeqFromMat???Ӷin??getStructuringElementEiNS_5Size_IiEENS_6Point_IiEE??pyrMeanShiftFilteringERKNS_11_InputArrayERKNS_12_OutputArrayEddiNS_12TermCriteriaE??tersectConvexConvexERKNS_11_InputArrayES2_RKNS_12_OutputArrayEb??vertAffineTransformERKNS_11_InputArrayERKNS_12_OutputArrayE???ն???PKNS_3MatEiPKiRKNS_11_InputArrayER??RKNS_11_InputArrayERKNSt3__16vectorIiNS3_9allocatorIiEEEES2_RKNS_12_OutputArrayES9_RKNS4_IfNS5_IfEEEEb??KNS_12_OutputArrayEiS4_PPKfbb??NS_9SparseMatEiS4_PPKfbb???????????PKNS_3MatEiPKiRKNS_??RKNS_11_InputArrayERKNSt3__16vectorIiNS3_9allocatorIiEEEES2_RKNS_12_OutputArrayERKNS4_IfNS5_IfEEEEd??11_InputArrayERKNS_12_OutputArrayEPPKfdb??9SparseMatERKNS_12_OutputArrayEPPKfdb??????????11_InputArrayES2_i??9SparseMatES2_i??????????Е??????????Hist??old?????੼?м??ټHist??BackProject???????Patch??????????????????߽?????????Lines2??Circles?????????????????????????????PKNS_6Point_IfEES3_i??RKNS_11_InputArrayES2_i?????PKNS_6Point_IfEES3_??RKNS_11_InputArrayES2_??????????????rp??tershed??Affine??Perspective???????????????????????rpPolarERKNS_11_InputArrayERKNS_12_OutputArrayENS_5Size_IiEENS_6Point_IfEEdi??tershedERKNS_11_InputArrayERKNS_17_InputOutputArrayE?????Д??????????C??1??2??36setEdgeFeatureZeroCrossingParametersEf??8buildMapERKNS_6Point_IiEE??2Ev??1Ev????????0??8applyImageFeaturesERKNS_11_InputArrayES4_S4_S4_??setWeightsEfff??applyImageERKNS_11_InputArrayE?????8setGradientMagnitudeMaxLimitEf??9setEdgeFeatureCannyParametersEddib?????І??????????????????????Line??Ellipse2???????????Shapes??Template??Ш?И????2E??1E??v??dddddddddd?????v??dddddddddd?????Ѝ???????Pd??RKNS_12_OutputArrayE????????ments??rphologyEx????????Ѕ??????????????????????????????????????????????????????uildPyramidERKNS_11_InputArrayERKNS_12_OutputArrayEii??oundingRectERKNS_11_InputArrayE?????Down??Up??MeanShiftFiltering??????????????????????????????????????????????????????о??????????????????????????????????Ю?????????8??1??7??9??6Vertex??nextEdgeEi??QuadEdge6isfreeEv?????0rotateEdgeEii??1??8getLeadingEdgeListERNSt3__16vectorIiNS1_9allocatorIiEEEE??5getTriangleListERNSt3__16vectorINS_3VecIfLi6EEENS1_9allocatorIS4_EEEE?????symEdgeEi??getEdgeEii??edge????????OrgEiPNS_6Point_IfEE??DstEiPNS_6Point_IfEE????????getVertexEiPi??isRightOfENS_6Point_IfEEi?????C??1??8??6??7newEdgeEv??9swapEdgesEi??2E??1E??v??NS_5Rect_IiEE?????v??NS_5Rect_IiEE????????2??3setEdgePointsEiii??0deleteEdgeEi??1??9getVoronoiFacetListERKNSt3__16vectorIiNS1_9allocatorIiEEEERNS2_INS2_INS_6Point_IfEENS3_IS9_EEEENS3_ISB_EEEERSB_??initDelaunayENS_5Rect_IiEE??c????????QuadEdgeC??newPointENS_6Point_IfEEbi??2E??1E??v??i?????v??i??????????????VertexC??spliceEii??locateENS_6Point_IfEERiS3_??insertE??2E??1E??v??NS_6Point_IfEEbi?????v??NS_6Point_IfEEbi???????????9isvirtualEv??6isfreeEv??????????????onnectEdgesEii??learVoronoiEv???????????Њ?Ћ????deletePointEi??calcVoronoiEv??findNearestENS_6Point_IfEEPS2_?????Б?NS_6Point_IfEE??RKNSt3__16vectorINS_6Point_IfEENS1_9allocatorIS4_EEEE???????????????getEdgeListERNSt3__16vectorINS_3VecIfLi4EEENS1_9allocatorIS4_EEEE??checkSubdivEv????????????????????S5_??i??S5_ii??ii??????????????????????ЂЎ??????????g_hash?decodeERKNS_11_InputArrayEi??encodeERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEERKNS_11_InputArrayERNS0_6vectorIhNS4_IhEEEERKNSC_IiNS4_IiEEEE??1??5??1??3??5??6??8??AverageHash6createEv??averageHashERKNS_11_InputArrayERKNS_12_OutputArrayE??ImgHashBase???????BlockMeanHashЂblockMeanHashERKNS_11_InputArrayERKNS_12_OutputArrayEi??6createEi?7setModeEi???????3BlockMeanHash7getMeanEv??1ImgHashBase7compareERKNS_11_InputArrayES4_??6MarrHildrethHash8get??8RadialVarianceHash??Њ?Ќ?ColorMomentHash6createEv߄colorMomentHashERKNS_11_InputArrayERKNS_12_OutputArrayE???????C??D˅7computeERKNS_11_InputArrayERKNS_12_OutputArrayE??2Ev??1Evą?????2Ev?1Ev?0Ev????????????????AlphaEv??ScaleEv????м?MarrHildrethHash??marrHildrethHashERKNS_11_InputArrayERKNS_12_OutputArrayEff??14setKernelParamEff??6createEff???????????PHash6createEv??pHashERKNS_11_InputArrayERKNS_12_OutputArrayE????????RadialVarianceHash?radialVarianceHashERKNS_11_InputArrayERKNS_12_OutputArrayEdiߊ6createEdi??1׉8setSigmaEd??7getHashEv?????17getNumOfAngleLineEvɉ8getSigmaEvЉ??????7setNumOfAngleLineEi??1getFeaturesEv??3getP??Ѐ??????????ixPerLineERKNS_3MatEъrojectionEv؊????????????RawMatReadERNS_3MatERKNSt3__16vectorIiNS2_9allocatorIiEEEERKNS2_12basic_stringIcNS2_11char_traitsIcEENS4_IcEEEE??JpgMatReadERNS_3MatEii?????RawFileReadERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEERKNS0_6vectorIdNS4_IdEEEESD_RKNS9_IiNS4_IiEEEES8_??JpgFileReadERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEERKNS0_6vectorIdNS4_IdEEEESD_ii????????Ы????л?ii?????countERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEEi?writeERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEERKNS_11_InputArrayERKNS0_6vectorIiNS4_IiEEEE???????????PNS_3MatE????????ReaderERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEE??WriterERKNSt3__112basic_stringIcNS0_11char_traitsIcEENS0_9allocatorIcEEEE‘????MatTo??CGImageToMatP7CGImageRN2cv3MatEbҒNSImageToMatPK7NSImageRN2cv3MatEb??CGImageRKN2cv3MatE˒NSImageRKN2cv3MatEْ???????????? 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oughCircles_10_Java_org_opencv_imgproc_Imgproc_HoughCircles_11_Java_org_opencv_imgproc_Imgproc_HoughCircles_12_Java_org_opencv_imgproc_Imgproc_HoughCircles_13_Java_org_opencv_imgproc_Imgproc_HoughCircles_14_Java_org_opencv_imgproc_Imgproc_HoughLinesP_10_Java_org_opencv_imgproc_Imgproc_HoughLinesP_11_Java_org_opencv_imgproc_Imgproc_HoughLinesP_12_Java_org_opencv_imgproc_Imgproc_HoughLinesPointSet_10_Java_org_opencv_imgproc_Imgproc_HoughLinesWithAccumulator_10_Java_org_opencv_imgproc_Imgproc_HoughLinesWithAccumulator_11_Java_org_opencv_imgproc_Imgproc_HoughLinesWithAccumulator_12_Java_org_opencv_imgproc_Imgproc_HoughLinesWithAccumulator_13_Java_org_opencv_imgproc_Imgproc_HoughLinesWithAccumulator_14_Java_org_opencv_imgproc_Imgproc_HoughLines_10_Java_org_opencv_imgproc_Imgproc_HoughLines_11_Java_org_opencv_imgproc_Imgproc_HoughLines_12_Java_org_opencv_imgproc_Imgproc_HoughLines_13_Java_org_opencv_imgproc_Imgproc_HoughLines_14_Java_org_opencv_imgproc_Imgproc_HuMoments_10_Java_org_opencv_imgproc_Imgproc_Laplacian_10_Java_org_opencv_imgproc_Imgproc_Laplacian_11_Java_org_opencv_imgproc_Imgproc_Laplacian_12_Java_org_opencv_imgproc_Imgproc_Laplacian_13_Java_org_opencv_imgproc_Imgproc_Laplacian_14_Java_org_opencv_imgproc_Imgproc_Scharr_10_Java_org_opencv_imgproc_Imgproc_Scharr_11_Java_org_opencv_imgproc_Imgproc_Scharr_12_Java_org_opencv_imgproc_Imgproc_Scharr_13_Java_org_opencv_imgproc_Imgproc_Sobel_10_Java_org_opencv_imgproc_Imgproc_Sobel_11_Java_org_opencv_imgproc_Imgproc_Sobel_12_Java_org_opencv_imgproc_Imgproc_Sobel_13_Java_org_opencv_imgproc_Imgproc_Sobel_14_Java_org_opencv_imgproc_Imgproc_accumulateProduct_10_Java_org_opencv_imgproc_Imgproc_accumulateProduct_11_Java_org_opencv_imgproc_Imgproc_accumulateSquare_10_Java_org_opencv_imgproc_Imgproc_accumulateSquare_11_Java_org_opencv_imgproc_Imgproc_accumulateWeighted_10_Java_org_opencv_imgproc_Imgproc_accumulateWeighted_11_Java_org_opencv_imgproc_Imgproc_accumulate_10_Java_org_opencv_imgproc_Imgproc_accumulate_11_Java_org_opencv_imgproc_Imgproc_adaptiveThreshold_10_Java_org_opencv_imgproc_Imgproc_applyColorMap_10_Java_org_opencv_imgproc_Imgproc_applyColorMap_11_Java_org_opencv_imgproc_Imgproc_approxPolyDP_10_Java_org_opencv_imgproc_Imgproc_arcLength_10_Java_org_opencv_imgproc_Imgproc_arrowedLine_10_Java_org_opencv_imgproc_Imgproc_arrowedLine_11_Java_org_opencv_imgproc_Imgproc_arrowedLine_12_Java_org_opencv_imgproc_Imgproc_arrowedLine_13_Java_org_opencv_imgproc_Imgproc_arrowedLine_14_Java_org_opencv_imgproc_Imgproc_bilateralFilter_10_Java_org_opencv_imgproc_Imgproc_bilateralFilter_11_Java_org_opencv_imgproc_Imgproc_blendLinear_10_Java_org_opencv_imgproc_Imgproc_blur_10_Java_org_opencv_imgproc_Imgproc_blur_11_Java_org_opencv_imgproc_Imgproc_blur_12_Java_org_opencv_imgproc_Imgproc_boundingRect_10_Java_org_opencv_imgproc_Imgproc_boxFilter_10_Java_org_opencv_imgproc_Imgproc_boxFilter_11_Java_org_opencv_imgproc_Imgproc_boxFilter_12_Java_org_opencv_imgproc_Imgproc_boxFilter_13_Java_org_opencv_imgproc_Imgproc_boxPoints_10_Java_org_opencv_imgproc_Imgproc_calcBackProject_10_Java_org_opencv_imgproc_Imgproc_calcHist_10_Java_org_opencv_imgproc_Imgproc_calcHist_11_Java_org_opencv_imgproc_Imgproc_circle_10_Java_org_opencv_imgproc_Imgproc_circle_11_Java_org_opencv_imgproc_Imgproc_circle_12_Java_org_opencv_imgproc_Imgproc_circle_13_Java_org_opencv_imgproc_Imgproc_clipLine_10_Java_org_opencv_imgproc_Imgproc_compareHist_10_Java_org_opencv_imgproc_Imgproc_connectedComponentsWithAlgorithm_10_Java_org_opencv_imgproc_Imgproc_connectedComponentsWithStatsWithAlgorithm_10_Java_org_opencv_imgproc_Imgproc_connectedComponentsWithStats_10_Java_org_opencv_imgproc_Imgproc_connectedComponentsWithStats_11_Java_org_opencv_imgproc_Imgproc_connectedComponentsWithStats_12_Java_org_opencv_imgproc_Imgproc_connectedComponents_10_Java_org_opencv_imgproc_Imgproc_connectedComponents_11_Java_org_opencv_imgproc_Imgproc_connectedComponents_12_Java_org_opencv_imgproc_Imgproc_contourArea_10_Java_org_opencv_imgproc_Imgproc_contourArea_11_Java_org_opencv_imgproc_Imgproc_convertMaps_10_Java_org_opencv_imgproc_Imgproc_convertMaps_11_Java_org_opencv_imgproc_Imgproc_convexHull_10_Java_org_opencv_imgproc_Imgproc_convexHull_12_Java_org_opencv_imgproc_Imgproc_convexityDefects_10_Java_org_opencv_imgproc_Imgproc_cornerEigenValsAndVecs_10_Java_org_opencv_imgproc_Imgproc_cornerEigenValsAndVecs_11_Java_org_opencv_imgproc_Imgproc_cornerHarris_10_Java_org_opencv_imgproc_Imgproc_cornerHarris_11_Java_org_opencv_imgproc_Imgproc_cornerMinEigenVal_10_Java_org_opencv_imgproc_Imgproc_cornerMinEigenVal_11_Java_org_opencv_imgproc_Imgproc_cornerMinEigenVal_12_Java_org_opencv_imgproc_Imgproc_cornerSubPix_10_Java_org_opencv_imgproc_Imgproc_createCLAHE_10_Java_org_opencv_imgproc_Imgproc_createCLAHE_11_Java_org_opencv_imgproc_Imgproc_createCLAHE_12_Java_org_opencv_imgproc_Imgproc_createGeneralizedHoughBallard_10_Java_org_opencv_imgproc_Imgproc_createGeneralizedHoughGuil_10_Java_org_opencv_imgproc_Imgproc_createHanningWindow_10_Java_org_opencv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rack_14_Java_org_opencv_imgproc_Imgproc_goodFeaturesToTrack_15_Java_org_opencv_imgproc_Imgproc_goodFeaturesToTrack_16_Java_org_opencv_imgproc_Imgproc_goodFeaturesToTrack_17_Java_org_opencv_imgproc_Imgproc_grabCut_10_Java_org_opencv_imgproc_Imgproc_grabCut_11_Java_org_opencv_imgproc_Imgproc_integral2_10_Java_org_opencv_imgproc_Imgproc_integral2_11_Java_org_opencv_imgproc_Imgproc_integral2_12_Java_org_opencv_imgproc_Imgproc_integral3_10_Java_org_opencv_imgproc_Imgproc_integral3_11_Java_org_opencv_imgproc_Imgproc_integral3_12_Java_org_opencv_imgproc_Imgproc_integral_10_Java_org_opencv_imgproc_Imgproc_integral_11_Java_org_opencv_imgproc_Imgproc_intersectConvexConvex_10_Java_org_opencv_imgproc_Imgproc_intersectConvexConvex_11_Java_org_opencv_imgproc_Imgproc_invertAffineTransform_10_Java_org_opencv_imgproc_Imgproc_isContourConvex_10_Java_org_opencv_imgproc_Imgproc_line_10_Java_org_opencv_imgproc_Imgproc_line_11_Java_org_opencv_imgproc_Imgproc_line_12_Java_org_opencv_imgproc_Imgproc_line_13_Java_org_opencv_imgproc_Imgproc_linearPolar_10_Java_org_opencv_imgproc_Imgproc_logPolar_10_Java_org_opencv_imgproc_Imgproc_matchShapes_10_Java_org_opencv_imgproc_Imgproc_matchTemplate_10_Java_org_opencv_imgproc_Imgproc_matchTemplate_11_Java_org_opencv_imgproc_Imgproc_medianBlur_10_Java_org_opencv_imgproc_Imgproc_minAreaRect_10_Java_org_opencv_imgproc_Imgproc_minEnclosingCircle_10_Java_org_opencv_imgproc_Imgproc_minEnclosingTriangle_10_Java_org_opencv_imgproc_Imgproc_moments_10_Java_org_opencv_imgproc_Imgproc_moments_11_Java_org_opencv_imgproc_Imgproc_morphologyEx_10_Java_org_opencv_imgproc_Imgproc_morphologyEx_11_Java_org_opencv_imgproc_Imgproc_morphologyEx_12_Java_org_opencv_imgproc_Imgproc_morphologyEx_13_Java_org_opencv_imgproc_Imgproc_morphologyEx_14_Java_org_opencv_imgproc_Imgproc_n_1getTextSize_Java_org_opencv_imgproc_Imgproc_phaseCorrelate_10_Java_org_opencv_imgproc_Imgproc_phaseCorrelate_11_Java_org_opencv_imgproc_Imgproc_phaseCorrelate_12_Java_org_opencv_imgproc_Imgproc_pointPolygonTest_10_Java_org_opencv_imgproc_Imgproc_polylines_10_Java_org_opencv_imgproc_Imgproc_polylines_11_Java_org_opencv_imgproc_Imgproc_polylines_12_Java_org_opencv_imgproc_Imgproc_polylines_13_Java_org_opencv_imgproc_Imgproc_preCornerDetect_10_Java_org_opencv_imgproc_Imgproc_preCornerDetect_11_Java_org_opencv_imgproc_Imgproc_putText_10_Java_org_opencv_imgproc_Imgproc_putText_11_Java_org_opencv_imgproc_Imgproc_putText_12_Java_org_opencv_imgproc_Imgproc_putText_13_Java_org_opencv_imgproc_Imgproc_pyrDown_10_Java_org_opencv_imgproc_Imgproc_pyrDown_11_Java_org_opencv_imgproc_Imgproc_pyrDown_12_Java_org_opencv_imgproc_Imgproc_pyrMeanShiftFiltering_10_Java_org_opencv_imgproc_Imgproc_pyrMeanShiftFiltering_11_Java_org_opencv_imgproc_Imgproc_pyrMeanShiftFiltering_12_Java_org_opencv_imgproc_Imgproc_pyrUp_10_Java_org_opencv_imgproc_Imgproc_pyrUp_11_Java_org_opencv_imgproc_Imgproc_pyrUp_12_Java_org_opencv_imgproc_Imgproc_rectangle_10_Java_org_opencv_imgproc_Imgproc_rectangle_11_Java_org_opencv_imgproc_Imgproc_rectangle_12_Java_org_opencv_imgproc_Imgproc_rectangle_13_Java_org_opencv_imgproc_Imgproc_rectangle_14_Java_org_opencv_imgproc_Imgproc_rectangle_15_Java_org_opencv_imgproc_Imgproc_rectangle_16_Java_org_opencv_imgproc_Imgproc_rectangle_17_Java_org_opencv_imgproc_Imgproc_remap_10_Java_org_opencv_imgproc_Imgproc_remap_11_Java_org_opencv_imgproc_Imgproc_remap_12_Java_org_opencv_imgproc_Imgproc_resize_10_Java_org_opencv_imgproc_Imgproc_resize_11_Java_org_opencv_imgproc_Imgproc_resize_12_Java_org_opencv_imgproc_Imgproc_resize_13_Java_org_opencv_imgproc_Imgproc_rotatedRectangleIntersection_10_Java_org_opencv_imgproc_Imgproc_sepFilter2D_10_Java_org_opencv_imgproc_Imgproc_sepFilter2D_11_Java_org_opencv_imgproc_Imgproc_sepFilter2D_12_Java_org_opencv_imgproc_Imgproc_sepFilter2D_13_Java_org_opencv_imgproc_Imgproc_spatialGradient_10_Java_org_opencv_imgproc_Imgproc_spatialGradient_11_Java_org_opencv_imgproc_Imgproc_spatialGradient_12_Java_org_opencv_imgproc_Imgproc_sqrBoxFilter_10_Java_org_opencv_imgproc_Imgproc_sqrBoxFilter_11_Java_org_opencv_imgproc_Imgproc_sqrBoxFilter_12_Java_org_opencv_imgproc_Imgproc_sqrBoxFilter_13_Java_org_opencv_imgproc_Imgproc_threshold_10_Java_org_opencv_imgproc_Imgproc_warpAffine_10_Java_org_opencv_imgproc_Imgproc_warpAffine_11_Java_org_opencv_imgproc_Imgproc_warpAffine_12_Java_org_opencv_imgproc_Imgproc_warpAffine_13_Java_org_opencv_imgproc_Imgproc_warpPerspective_10_Java_org_opencv_imgproc_Imgproc_warpPerspective_11_Java_org_opencv_imgproc_Imgproc_warpPerspective_12_Java_org_opencv_imgproc_Imgproc_warpPerspective_13_Java_org_opencv_imgproc_Imgproc_warpPolar_10_Java_org_opencv_imgproc_Imgproc_watershed_10_Java_org_opencv_imgproc_IntelligentScissorsMB_IntelligentScissorsMB_10_Java_org_opencv_imgproc_IntelligentScissorsMB_applyImageFeatures_10_Java_org_opencv_imgproc_IntelligentScissorsMB_applyImageFeatures_11_Java_org_opencv_imgproc_IntelligentScissorsMB_applyImage_10_Java_org_opencv_imgproc_IntelligentScissorsMB_buildMap_10_Java_org_opencv_imgproc_IntelligentScissorsMB_delete_Java_org_opencv_imgproc_IntelligentScissorsMB_getContour_10_Java_org_opencv_imgproc_IntelligentScissorsMB_getContour_11_Java_org_opencv_imgproc_IntelligentScissorsMB_setEdgeFeatureCannyParameters_10_Java_org_opencv_imgproc_IntelligentScissorsMB_setEdgeFeatureCannyParameters_11_Java_org_opencv_imgproc_IntelligentScissorsMB_setEdgeFeatureCannyParameters_12_Java_org_opencv_imgproc_IntelligentScissorsMB_setEdgeFeatureZeroCrossingParameters_10_Java_org_opencv_imgproc_IntelligentScissorsMB_setEdgeFeatureZeroCrossingParameters_11_Java_org_opencv_imgproc_IntelligentScissorsMB_setGradientMagnitudeMaxLimit_10_Java_org_opencv_imgproc_IntelligentScissorsMB_setGradientMagnitudeMaxLimit_11_Java_org_opencv_imgproc_IntelligentScissorsMB_setWeights_10_Java_org_opencv_imgproc_LineSegmentDetector_compareSegments_10_Java_org_opencv_imgproc_LineSegmentDetector_compareSegments_11_Java_org_opencv_imgproc_LineSegmentDetector_delete_Java_org_opencv_imgproc_LineSegmentDetector_detect_10_Java_org_opencv_imgproc_LineSegmentDetector_detect_11_Java_org_opencv_imgproc_LineSegmentDetector_detect_12_Java_org_opencv_imgproc_LineSegmentDetector_detect_13_Java_org_opencv_imgproc_LineSegmentDetector_drawSegments_10_Java_org_opencv_imgproc_Subdiv2D_Subdiv2D_10_Java_org_opencv_imgproc_Subdiv2D_Subdiv2D_11_Java_org_opencv_imgproc_Subdiv2D_delete_Java_org_opencv_imgproc_Subdiv2D_edgeDst_10_Java_org_opencv_imgproc_Subdiv2D_edgeDst_11_Java_org_opencv_imgproc_Subdiv2D_edgeOrg_10_Java_org_opencv_imgproc_Subdiv2D_edgeOrg_11_Java_org_opencv_imgproc_Subdiv2D_findNearest_10_Java_org_opencv_imgproc_Subdiv2D_findNearest_11_Java_org_opencv_imgproc_Subdiv2D_getEdgeList_10_Java_org_opencv_imgproc_Subdiv2D_getEdge_10_Java_org_opencv_imgproc_Subdiv2D_getLeadingEdgeList_10_Java_org_opencv_imgproc_Subdiv2D_getTriangleList_10_Java_org_opencv_imgproc_Subdiv2D_getVertex_10_Java_org_opencv_imgproc_Subdiv2D_getVertex_11_Java_org_opencv_imgproc_Subdiv2D_getVoronoiFacetList_10_Java_org_opencv_imgproc_Subdiv2D_initDelaunay_10_Java_org_opencv_imgproc_Subdiv2D_insert_10_Java_org_opencv_imgproc_Subdiv2D_insert_11_Java_org_opencv_imgproc_Subdiv2D_locate_10_Java_org_opencv_imgproc_Subdiv2D_nextEdge_10_Java_org_opencv_imgproc_Subdiv2D_rotateEdge_10_Java_org_opencv_imgproc_Subdiv2D_symEdge_10__Z10cvIplImageRKN2cv3MatE__Z12CGImageToMatP7CGImageRN2cv3MatEb__Z12MatToCGImageRKN2cv3MatE__Z12MatToNSImageRKN2cv3MatE__Z12NSImageToMatPK7NSImageRN2cv3MatEb__Z17cvCreateSparseMatRKN2cv9SparseMatE__Z6cvCeilRKN2cv10softdoubleE__Z6cvCeilRKN2cv9softfloatE__Z7cvFloorRKN2cv10softdoubleE__Z7cvFloorRKN2cv9softfloatE__Z7cvMatNDRKN2cv3MatE__Z7cvRoundRKN2cv10softdoubleE__Z7cvRoundRKN2cv9softfloatE__Z7cvTruncRKN2cv10softdoubleE__Z7cvTruncRKN2cv9softfloatE__Z9cvRound64RKN2cv10softdoubleE__ZN2cv10AsyncArray7releaseEv__ZN2cv10AsyncArrayC1ERKS0___ZN2cv10AsyncArrayC1Ev__ZN2cv10AsyncArrayC2ERKS0___ZN2cv10AsyncArrayC2Ev__ZN2cv10AsyncArrayD1Ev__ZN2cv10AsyncArrayD2Ev__ZN2cv10AsyncArrayaSERKS0___ZN2cv10HoughLinesERKNS_11_InputArrayERKNS_12_OutputArrayEddidddd__ZN2cv10PCAComputeERKNS_11_InputArrayERKNS_17_InputOutputArrayERKNS_12_OutputArrayES8_d__ZN2cv10PCAComputeERKNS_11_InputArrayERKNS_17_InputOutputArrayERKNS_12_OutputArrayES8_i__ZN2cv10PCAComputeERKNS_11_InputArrayERKNS_17_InputOutputArrayERKNS_12_OutputArrayEd__ZN2cv10PCAComputeERKNS_11_InputArrayERKNS_17_InputOutputArrayERKNS_12_OutputArrayEi__ZN2cv10PCAProjectERKNS_11_InputArrayES2_S2_RKNS_12_OutputArrayE__ZN2cv10accumulateERKNS_11_InputArrayERKNS_17_InputOutputArrayES2___ZN2cv10bitwise_orERKNS_11_InputArrayES2_RKNS_12_OutputArrayES2___ZN2cv10checkRangeERKNS_11_InputArrayEbPNS_6Point_IiEEdd__ZN2cv10convexHullERKNS_11_InputArrayERKNS_12_OutputArrayEbb__ZN2cv10cvarrToMatEPKvbbiPNS_10AutoBufferIdLm136EEE__ZN2cv10drawMarkerERKNS_17_InputOutputArrayENS_6Point_IiEERKNS_7Scalar_IdEEiiii__ZN2cv10fastMallocEm__ZN2cv10fitEllipseERKNS_11_InputArrayE__ZN2cv10getSeqElemEPK5CvSeqi__ZN2cv10haveOpenVXEv__ZN2cv10meanStdDevERKNS_11_InputArrayERKNS_12_OutputArrayES5_S2___ZN2cv10medianBlurERKNS_11_InputArrayERKNS_12_OutputArrayEi__ZN2cv10setRNGSeedEi__ZN2cv10softdoubleC1Ei__ZN2cv10softdoubleC1Ej__ZN2cv10softdoubleC1Ex__ZN2cv10softdoubleC1Ey__ZN2cv10softdoubleC2Ei__ZN2cv10softdoubleC2Ej__ZN2cv10softdoubleC2Ex__ZN2cv10softdoubleC2Ey__ZN2cv10solveCubicERKNS_11_InputArrayERKNS_12_OutputArrayE__ZN2cv10warpAffineERKNS_11_InputArrayERKNS_12_OutputArrayES2_NS_5Size_IiEEiiRKNS_7Scalar_IdEE__ZN2cv10wrapperEMDERKNS_11_InputArrayES2_iS2_NS_3PtrIfEERKNS_12_OutputArrayE__ZN2cv11FileStorage12writeCommentERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEb__ZN2cv11FileStorage14endWriteStructEv__ZN2cv11FileStorage16startWriteStructERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEEiS9___ZN2cv11FileStorage19releaseAndGetStringEv__ZN2cv11FileStorage20getDefaultObjectNameERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE__ZN2cv11FileStorage4Impl10parseErrorEPKcRKNSt3__112basic_stringIcNS4_11char_traitsIcEENS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