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/*
 * Copyright 2024 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/visionai/v1/annotations.proto

// Protobuf Java Version: 3.25.3
package com.google.cloud.visionai.v1;

/**
 *
 *
 * 
 * Prediction output format for Image Segmentation.
 * 
* * Protobuf type {@code google.cloud.visionai.v1.ImageSegmentationPredictionResult} */ public final class ImageSegmentationPredictionResult extends com.google.protobuf.GeneratedMessageV3 implements // @@protoc_insertion_point(message_implements:google.cloud.visionai.v1.ImageSegmentationPredictionResult) ImageSegmentationPredictionResultOrBuilder { private static final long serialVersionUID = 0L; // Use ImageSegmentationPredictionResult.newBuilder() to construct. private ImageSegmentationPredictionResult( com.google.protobuf.GeneratedMessageV3.Builder builder) { super(builder); } private ImageSegmentationPredictionResult() { categoryMask_ = ""; confidenceMask_ = ""; } @java.lang.Override @SuppressWarnings({"unused"}) protected java.lang.Object newInstance(UnusedPrivateParameter unused) { return new ImageSegmentationPredictionResult(); } public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return com.google.cloud.visionai.v1.AnnotationsProto .internal_static_google_cloud_visionai_v1_ImageSegmentationPredictionResult_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return com.google.cloud.visionai.v1.AnnotationsProto .internal_static_google_cloud_visionai_v1_ImageSegmentationPredictionResult_fieldAccessorTable .ensureFieldAccessorsInitialized( com.google.cloud.visionai.v1.ImageSegmentationPredictionResult.class, com.google.cloud.visionai.v1.ImageSegmentationPredictionResult.Builder.class); } public static final int CATEGORY_MASK_FIELD_NUMBER = 1; @SuppressWarnings("serial") private volatile java.lang.Object categoryMask_ = ""; /** * * *
   * A PNG image where each pixel in the mask represents the category in which
   * the pixel in the original image was predicted to belong to. The size of
   * this image will be the same as the original image. The mapping between the
   * AnntoationSpec and the color can be found in model's metadata. The model
   * will choose the most likely category and if none of the categories reach
   * the confidence threshold, the pixel will be marked as background.
   * 
* * string category_mask = 1; * * @return The categoryMask. */ @java.lang.Override public java.lang.String getCategoryMask() { java.lang.Object ref = categoryMask_; if (ref instanceof java.lang.String) { return (java.lang.String) ref; } else { com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; java.lang.String s = bs.toStringUtf8(); categoryMask_ = s; return s; } } /** * * *
   * A PNG image where each pixel in the mask represents the category in which
   * the pixel in the original image was predicted to belong to. The size of
   * this image will be the same as the original image. The mapping between the
   * AnntoationSpec and the color can be found in model's metadata. The model
   * will choose the most likely category and if none of the categories reach
   * the confidence threshold, the pixel will be marked as background.
   * 
* * string category_mask = 1; * * @return The bytes for categoryMask. */ @java.lang.Override public com.google.protobuf.ByteString getCategoryMaskBytes() { java.lang.Object ref = categoryMask_; if (ref instanceof java.lang.String) { com.google.protobuf.ByteString b = com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); categoryMask_ = b; return b; } else { return (com.google.protobuf.ByteString) ref; } } public static final int CONFIDENCE_MASK_FIELD_NUMBER = 2; @SuppressWarnings("serial") private volatile java.lang.Object confidenceMask_ = ""; /** * * *
   * A one channel image which is encoded as an 8bit lossless PNG. The size of
   * the image will be the same as the original image. For a specific pixel,
   * darker color means less confidence in correctness of the cateogry in the
   * categoryMask for the corresponding pixel. Black means no confidence and
   * white means complete confidence.
   * 
* * string confidence_mask = 2; * * @return The confidenceMask. */ @java.lang.Override public java.lang.String getConfidenceMask() { java.lang.Object ref = confidenceMask_; if (ref instanceof java.lang.String) { return (java.lang.String) ref; } else { com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; java.lang.String s = bs.toStringUtf8(); confidenceMask_ = s; return s; } } /** * * *
   * A one channel image which is encoded as an 8bit lossless PNG. The size of
   * the image will be the same as the original image. For a specific pixel,
   * darker color means less confidence in correctness of the cateogry in the
   * categoryMask for the corresponding pixel. Black means no confidence and
   * white means complete confidence.
   * 
* * string confidence_mask = 2; * * @return The bytes for confidenceMask. */ @java.lang.Override public com.google.protobuf.ByteString getConfidenceMaskBytes() { java.lang.Object ref = confidenceMask_; if (ref instanceof java.lang.String) { com.google.protobuf.ByteString b = com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); confidenceMask_ = b; return b; } else { return (com.google.protobuf.ByteString) ref; } } private byte memoizedIsInitialized = -1; @java.lang.Override public final boolean isInitialized() { byte isInitialized = memoizedIsInitialized; if (isInitialized == 1) return true; if (isInitialized == 0) return false; memoizedIsInitialized = 1; return true; } @java.lang.Override public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException { if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(categoryMask_)) { com.google.protobuf.GeneratedMessageV3.writeString(output, 1, categoryMask_); } if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(confidenceMask_)) { com.google.protobuf.GeneratedMessageV3.writeString(output, 2, confidenceMask_); } getUnknownFields().writeTo(output); } @java.lang.Override public int getSerializedSize() { int size = memoizedSize; if (size != -1) return size; size = 0; if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(categoryMask_)) { size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, categoryMask_); } if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(confidenceMask_)) { size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, confidenceMask_); } size += getUnknownFields().getSerializedSize(); memoizedSize = size; return size; } @java.lang.Override public boolean equals(final java.lang.Object obj) { if (obj == this) { return true; } if (!(obj instanceof com.google.cloud.visionai.v1.ImageSegmentationPredictionResult)) { return super.equals(obj); } com.google.cloud.visionai.v1.ImageSegmentationPredictionResult other = (com.google.cloud.visionai.v1.ImageSegmentationPredictionResult) obj; if (!getCategoryMask().equals(other.getCategoryMask())) return false; if (!getConfidenceMask().equals(other.getConfidenceMask())) return false; if (!getUnknownFields().equals(other.getUnknownFields())) return false; return true; } @java.lang.Override public int hashCode() { if (memoizedHashCode != 0) { return memoizedHashCode; } int hash = 41; hash = (19 * hash) + getDescriptor().hashCode(); hash = (37 * hash) + CATEGORY_MASK_FIELD_NUMBER; hash = (53 * hash) + getCategoryMask().hashCode(); hash = (37 * hash) + CONFIDENCE_MASK_FIELD_NUMBER; hash = (53 * hash) + getConfidenceMask().hashCode(); hash = (29 * hash) + getUnknownFields().hashCode(); memoizedHashCode = hash; return hash; } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( java.io.InputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseWithIOException( PARSER, input, extensionRegistry); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseDelimitedFrom( java.io.InputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseDelimitedFrom( java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException( PARSER, input, extensionRegistry); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( com.google.protobuf.CodedInputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult parseFrom( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3.parseWithIOException( PARSER, input, extensionRegistry); } @java.lang.Override public Builder newBuilderForType() { return newBuilder(); } public static Builder newBuilder() { return DEFAULT_INSTANCE.toBuilder(); } public static Builder newBuilder( com.google.cloud.visionai.v1.ImageSegmentationPredictionResult prototype) { return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); } @java.lang.Override public Builder toBuilder() { return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); } @java.lang.Override protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { Builder builder = new Builder(parent); return builder; } /** * * *
   * Prediction output format for Image Segmentation.
   * 
* * Protobuf type {@code google.cloud.visionai.v1.ImageSegmentationPredictionResult} */ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:google.cloud.visionai.v1.ImageSegmentationPredictionResult) com.google.cloud.visionai.v1.ImageSegmentationPredictionResultOrBuilder { public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return com.google.cloud.visionai.v1.AnnotationsProto .internal_static_google_cloud_visionai_v1_ImageSegmentationPredictionResult_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return com.google.cloud.visionai.v1.AnnotationsProto .internal_static_google_cloud_visionai_v1_ImageSegmentationPredictionResult_fieldAccessorTable .ensureFieldAccessorsInitialized( com.google.cloud.visionai.v1.ImageSegmentationPredictionResult.class, com.google.cloud.visionai.v1.ImageSegmentationPredictionResult.Builder.class); } // Construct using com.google.cloud.visionai.v1.ImageSegmentationPredictionResult.newBuilder() private Builder() {} private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { super(parent); } @java.lang.Override public Builder clear() { super.clear(); bitField0_ = 0; categoryMask_ = ""; confidenceMask_ = ""; return this; } @java.lang.Override public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { return com.google.cloud.visionai.v1.AnnotationsProto .internal_static_google_cloud_visionai_v1_ImageSegmentationPredictionResult_descriptor; } @java.lang.Override public com.google.cloud.visionai.v1.ImageSegmentationPredictionResult getDefaultInstanceForType() { return com.google.cloud.visionai.v1.ImageSegmentationPredictionResult.getDefaultInstance(); } @java.lang.Override public com.google.cloud.visionai.v1.ImageSegmentationPredictionResult build() { com.google.cloud.visionai.v1.ImageSegmentationPredictionResult result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } @java.lang.Override public com.google.cloud.visionai.v1.ImageSegmentationPredictionResult buildPartial() { com.google.cloud.visionai.v1.ImageSegmentationPredictionResult result = new com.google.cloud.visionai.v1.ImageSegmentationPredictionResult(this); if (bitField0_ != 0) { buildPartial0(result); } onBuilt(); return result; } private void buildPartial0( com.google.cloud.visionai.v1.ImageSegmentationPredictionResult result) { int from_bitField0_ = bitField0_; if (((from_bitField0_ & 0x00000001) != 0)) { result.categoryMask_ = categoryMask_; } if (((from_bitField0_ & 0x00000002) != 0)) { result.confidenceMask_ = confidenceMask_; } } @java.lang.Override public Builder clone() { return super.clone(); } @java.lang.Override public Builder setField( com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return super.setField(field, value); } @java.lang.Override public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) { return super.clearField(field); } @java.lang.Override public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) { return super.clearOneof(oneof); } @java.lang.Override public Builder setRepeatedField( com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { return super.setRepeatedField(field, index, value); } @java.lang.Override public Builder addRepeatedField( com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return super.addRepeatedField(field, value); } @java.lang.Override public Builder mergeFrom(com.google.protobuf.Message other) { if (other instanceof com.google.cloud.visionai.v1.ImageSegmentationPredictionResult) { return mergeFrom((com.google.cloud.visionai.v1.ImageSegmentationPredictionResult) other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(com.google.cloud.visionai.v1.ImageSegmentationPredictionResult other) { if (other == com.google.cloud.visionai.v1.ImageSegmentationPredictionResult.getDefaultInstance()) return this; if (!other.getCategoryMask().isEmpty()) { categoryMask_ = other.categoryMask_; bitField0_ |= 0x00000001; onChanged(); } if (!other.getConfidenceMask().isEmpty()) { confidenceMask_ = other.confidenceMask_; bitField0_ |= 0x00000002; onChanged(); } this.mergeUnknownFields(other.getUnknownFields()); onChanged(); return this; } @java.lang.Override public final boolean isInitialized() { return true; } @java.lang.Override public Builder mergeFrom( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { if (extensionRegistry == null) { throw new java.lang.NullPointerException(); } try { boolean done = false; while (!done) { int tag = input.readTag(); switch (tag) { case 0: done = true; break; case 10: { categoryMask_ = input.readStringRequireUtf8(); bitField0_ |= 0x00000001; break; } // case 10 case 18: { confidenceMask_ = input.readStringRequireUtf8(); bitField0_ |= 0x00000002; break; } // case 18 default: { if (!super.parseUnknownField(input, extensionRegistry, tag)) { done = true; // was an endgroup tag } break; } // default: } // switch (tag) } // while (!done) } catch (com.google.protobuf.InvalidProtocolBufferException e) { throw e.unwrapIOException(); } finally { onChanged(); } // finally return this; } private int bitField0_; private java.lang.Object categoryMask_ = ""; /** * * *
     * A PNG image where each pixel in the mask represents the category in which
     * the pixel in the original image was predicted to belong to. The size of
     * this image will be the same as the original image. The mapping between the
     * AnntoationSpec and the color can be found in model's metadata. The model
     * will choose the most likely category and if none of the categories reach
     * the confidence threshold, the pixel will be marked as background.
     * 
* * string category_mask = 1; * * @return The categoryMask. */ public java.lang.String getCategoryMask() { java.lang.Object ref = categoryMask_; if (!(ref instanceof java.lang.String)) { com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; java.lang.String s = bs.toStringUtf8(); categoryMask_ = s; return s; } else { return (java.lang.String) ref; } } /** * * *
     * A PNG image where each pixel in the mask represents the category in which
     * the pixel in the original image was predicted to belong to. The size of
     * this image will be the same as the original image. The mapping between the
     * AnntoationSpec and the color can be found in model's metadata. The model
     * will choose the most likely category and if none of the categories reach
     * the confidence threshold, the pixel will be marked as background.
     * 
* * string category_mask = 1; * * @return The bytes for categoryMask. */ public com.google.protobuf.ByteString getCategoryMaskBytes() { java.lang.Object ref = categoryMask_; if (ref instanceof String) { com.google.protobuf.ByteString b = com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); categoryMask_ = b; return b; } else { return (com.google.protobuf.ByteString) ref; } } /** * * *
     * A PNG image where each pixel in the mask represents the category in which
     * the pixel in the original image was predicted to belong to. The size of
     * this image will be the same as the original image. The mapping between the
     * AnntoationSpec and the color can be found in model's metadata. The model
     * will choose the most likely category and if none of the categories reach
     * the confidence threshold, the pixel will be marked as background.
     * 
* * string category_mask = 1; * * @param value The categoryMask to set. * @return This builder for chaining. */ public Builder setCategoryMask(java.lang.String value) { if (value == null) { throw new NullPointerException(); } categoryMask_ = value; bitField0_ |= 0x00000001; onChanged(); return this; } /** * * *
     * A PNG image where each pixel in the mask represents the category in which
     * the pixel in the original image was predicted to belong to. The size of
     * this image will be the same as the original image. The mapping between the
     * AnntoationSpec and the color can be found in model's metadata. The model
     * will choose the most likely category and if none of the categories reach
     * the confidence threshold, the pixel will be marked as background.
     * 
* * string category_mask = 1; * * @return This builder for chaining. */ public Builder clearCategoryMask() { categoryMask_ = getDefaultInstance().getCategoryMask(); bitField0_ = (bitField0_ & ~0x00000001); onChanged(); return this; } /** * * *
     * A PNG image where each pixel in the mask represents the category in which
     * the pixel in the original image was predicted to belong to. The size of
     * this image will be the same as the original image. The mapping between the
     * AnntoationSpec and the color can be found in model's metadata. The model
     * will choose the most likely category and if none of the categories reach
     * the confidence threshold, the pixel will be marked as background.
     * 
* * string category_mask = 1; * * @param value The bytes for categoryMask to set. * @return This builder for chaining. */ public Builder setCategoryMaskBytes(com.google.protobuf.ByteString value) { if (value == null) { throw new NullPointerException(); } checkByteStringIsUtf8(value); categoryMask_ = value; bitField0_ |= 0x00000001; onChanged(); return this; } private java.lang.Object confidenceMask_ = ""; /** * * *
     * A one channel image which is encoded as an 8bit lossless PNG. The size of
     * the image will be the same as the original image. For a specific pixel,
     * darker color means less confidence in correctness of the cateogry in the
     * categoryMask for the corresponding pixel. Black means no confidence and
     * white means complete confidence.
     * 
* * string confidence_mask = 2; * * @return The confidenceMask. */ public java.lang.String getConfidenceMask() { java.lang.Object ref = confidenceMask_; if (!(ref instanceof java.lang.String)) { com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref; java.lang.String s = bs.toStringUtf8(); confidenceMask_ = s; return s; } else { return (java.lang.String) ref; } } /** * * *
     * A one channel image which is encoded as an 8bit lossless PNG. The size of
     * the image will be the same as the original image. For a specific pixel,
     * darker color means less confidence in correctness of the cateogry in the
     * categoryMask for the corresponding pixel. Black means no confidence and
     * white means complete confidence.
     * 
* * string confidence_mask = 2; * * @return The bytes for confidenceMask. */ public com.google.protobuf.ByteString getConfidenceMaskBytes() { java.lang.Object ref = confidenceMask_; if (ref instanceof String) { com.google.protobuf.ByteString b = com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref); confidenceMask_ = b; return b; } else { return (com.google.protobuf.ByteString) ref; } } /** * * *
     * A one channel image which is encoded as an 8bit lossless PNG. The size of
     * the image will be the same as the original image. For a specific pixel,
     * darker color means less confidence in correctness of the cateogry in the
     * categoryMask for the corresponding pixel. Black means no confidence and
     * white means complete confidence.
     * 
* * string confidence_mask = 2; * * @param value The confidenceMask to set. * @return This builder for chaining. */ public Builder setConfidenceMask(java.lang.String value) { if (value == null) { throw new NullPointerException(); } confidenceMask_ = value; bitField0_ |= 0x00000002; onChanged(); return this; } /** * * *
     * A one channel image which is encoded as an 8bit lossless PNG. The size of
     * the image will be the same as the original image. For a specific pixel,
     * darker color means less confidence in correctness of the cateogry in the
     * categoryMask for the corresponding pixel. Black means no confidence and
     * white means complete confidence.
     * 
* * string confidence_mask = 2; * * @return This builder for chaining. */ public Builder clearConfidenceMask() { confidenceMask_ = getDefaultInstance().getConfidenceMask(); bitField0_ = (bitField0_ & ~0x00000002); onChanged(); return this; } /** * * *
     * A one channel image which is encoded as an 8bit lossless PNG. The size of
     * the image will be the same as the original image. For a specific pixel,
     * darker color means less confidence in correctness of the cateogry in the
     * categoryMask for the corresponding pixel. Black means no confidence and
     * white means complete confidence.
     * 
* * string confidence_mask = 2; * * @param value The bytes for confidenceMask to set. * @return This builder for chaining. */ public Builder setConfidenceMaskBytes(com.google.protobuf.ByteString value) { if (value == null) { throw new NullPointerException(); } checkByteStringIsUtf8(value); confidenceMask_ = value; bitField0_ |= 0x00000002; onChanged(); return this; } @java.lang.Override public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) { return super.setUnknownFields(unknownFields); } @java.lang.Override public final Builder mergeUnknownFields( final com.google.protobuf.UnknownFieldSet unknownFields) { return super.mergeUnknownFields(unknownFields); } // @@protoc_insertion_point(builder_scope:google.cloud.visionai.v1.ImageSegmentationPredictionResult) } // @@protoc_insertion_point(class_scope:google.cloud.visionai.v1.ImageSegmentationPredictionResult) private static final com.google.cloud.visionai.v1.ImageSegmentationPredictionResult DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new com.google.cloud.visionai.v1.ImageSegmentationPredictionResult(); } public static com.google.cloud.visionai.v1.ImageSegmentationPredictionResult getDefaultInstance() { return DEFAULT_INSTANCE; } private static final com.google.protobuf.Parser PARSER = new com.google.protobuf.AbstractParser() { @java.lang.Override public ImageSegmentationPredictionResult parsePartialFrom( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { Builder builder = newBuilder(); try { builder.mergeFrom(input, extensionRegistry); } catch (com.google.protobuf.InvalidProtocolBufferException e) { throw e.setUnfinishedMessage(builder.buildPartial()); } catch (com.google.protobuf.UninitializedMessageException e) { throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial()); } catch (java.io.IOException e) { throw new com.google.protobuf.InvalidProtocolBufferException(e) .setUnfinishedMessage(builder.buildPartial()); } return builder.buildPartial(); } }; public static com.google.protobuf.Parser parser() { return PARSER; } @java.lang.Override public com.google.protobuf.Parser getParserForType() { return PARSER; } @java.lang.Override public com.google.cloud.visionai.v1.ImageSegmentationPredictionResult getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }




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