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• EltwiseLayer.java

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org.bytedeco.opencv.opencv_dnn.EltwiseLayer Maven / Gradle / Ivy

// Targeted by JavaCPP version 1.5.7: DO NOT EDIT THIS FILE

package org.bytedeco.opencv.opencv_dnn;

import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;

import static org.bytedeco.javacpp.presets.javacpp.*;
import static org.bytedeco.openblas.global.openblas_nolapack.*;
import static org.bytedeco.openblas.global.openblas.*;
import org.bytedeco.opencv.opencv_core.*;
import static org.bytedeco.opencv.global.opencv_core.*;
import org.bytedeco.opencv.opencv_imgproc.*;
import static org.bytedeco.opencv.global.opencv_imgproc.*;

import static org.bytedeco.opencv.global.opencv_dnn.*;


    /** \brief Element wise operation on inputs
    

    Extra optional parameters:
    - "operation" as string. Values are "sum" (default), "prod", "max", "div", "min"
    - "coeff" as float array. Specify weights of inputs for SUM operation
    - "output_channels_mode" as string. Values are "same" (default, all input must have the same layout), "input_0", "input_0_truncate", "max_input_channels"
    */
    @Namespace("cv::dnn") @Properties(inherit = org.bytedeco.opencv.presets.opencv_dnn.class)
public class EltwiseLayer extends Layer {
        static { Loader.load(); }
        /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
        public EltwiseLayer(Pointer p) { super(p); }
    
        public static native @Ptr EltwiseLayer create(@Const @ByRef LayerParams params);
    }