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-
- using OpenCVForUnity.CoreModule;
- using OpenCVForUnity.UtilsModule;
- using System;
- using System.Collections.Generic;
- using System.Runtime.InteropServices;
- namespace OpenCVForUnity.MlModule {
- // C++: class ANN_MLP
- //javadoc: ANN_MLP
- public class ANN_MLP : StatModel {
- protected override void Dispose(bool disposing) {
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- try {
- if (disposing) {
- }
- if (IsEnabledDispose) {
- if (nativeObj != IntPtr.Zero)
- ml_ANN_1MLP_delete(nativeObj);
- nativeObj = IntPtr.Zero;
- }
- } finally {
- base.Dispose(disposing);
- }
- #else
- return;
- #endif
- }
- protected internal ANN_MLP(IntPtr addr) : base(addr) { }
- // internal usage only
- public static new ANN_MLP __fromPtr__(IntPtr addr) { return new ANN_MLP(addr); }
- // C++: enum TrainFlags
- public const int UPDATE_WEIGHTS = 1;
- public const int NO_INPUT_SCALE = 2;
- public const int NO_OUTPUT_SCALE = 4;
- // C++: enum TrainingMethods
- public const int BACKPROP = 0;
- public const int RPROP = 1;
- public const int ANNEAL = 2;
- // C++: enum ActivationFunctions
- public const int IDENTITY = 0;
- public const int SIGMOID_SYM = 1;
- public const int GAUSSIAN = 2;
- public const int RELU = 3;
- public const int LEAKYRELU = 4;
- //
- // C++: Mat cv::ml::ANN_MLP::getLayerSizes()
- //
- //javadoc: ANN_MLP::getLayerSizes()
- public Mat getLayerSizes() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- Mat retVal = new Mat(ml_ANN_1MLP_getLayerSizes_10(nativeObj));
- return retVal;
- #else
- return null;
- #endif
- }
- //
- // C++: Mat cv::ml::ANN_MLP::getWeights(int layerIdx)
- //
- //javadoc: ANN_MLP::getWeights(layerIdx)
- public Mat getWeights(int layerIdx) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- Mat retVal = new Mat(ml_ANN_1MLP_getWeights_10(nativeObj, layerIdx));
- return retVal;
- #else
- return null;
- #endif
- }
- //
- // C++: static Ptr_ANN_MLP cv::ml::ANN_MLP::create()
- //
- //javadoc: ANN_MLP::create()
- public static ANN_MLP create() {
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ANN_MLP retVal = ANN_MLP.__fromPtr__(ml_ANN_1MLP_create_10());
- return retVal;
- #else
- return null;
- #endif
- }
- //
- // C++: static Ptr_ANN_MLP cv::ml::ANN_MLP::load(String filepath)
- //
- //javadoc: ANN_MLP::load(filepath)
- public static ANN_MLP load(string filepath) {
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ANN_MLP retVal = ANN_MLP.__fromPtr__(ml_ANN_1MLP_load_10(filepath));
- return retVal;
- #else
- return null;
- #endif
- }
- //
- // C++: TermCriteria cv::ml::ANN_MLP::getTermCriteria()
- //
- //javadoc: ANN_MLP::getTermCriteria()
- public TermCriteria getTermCriteria() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double[] tmpArray = new double[3];
- ml_ANN_1MLP_getTermCriteria_10(nativeObj, tmpArray);
- TermCriteria retVal = new TermCriteria(tmpArray);
- return retVal;
- #else
- return null;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getAnnealCoolingRatio()
- //
- //javadoc: ANN_MLP::getAnnealCoolingRatio()
- public double getAnnealCoolingRatio() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getAnnealCoolingRatio_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getAnnealFinalT()
- //
- //javadoc: ANN_MLP::getAnnealFinalT()
- public double getAnnealFinalT() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getAnnealFinalT_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getAnnealInitialT()
- //
- //javadoc: ANN_MLP::getAnnealInitialT()
- public double getAnnealInitialT() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getAnnealInitialT_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getBackpropMomentumScale()
- //
- //javadoc: ANN_MLP::getBackpropMomentumScale()
- public double getBackpropMomentumScale() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getBackpropMomentumScale_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getBackpropWeightScale()
- //
- //javadoc: ANN_MLP::getBackpropWeightScale()
- public double getBackpropWeightScale() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getBackpropWeightScale_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getRpropDW0()
- //
- //javadoc: ANN_MLP::getRpropDW0()
- public double getRpropDW0() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getRpropDW0_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getRpropDWMax()
- //
- //javadoc: ANN_MLP::getRpropDWMax()
- public double getRpropDWMax() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getRpropDWMax_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getRpropDWMin()
- //
- //javadoc: ANN_MLP::getRpropDWMin()
- public double getRpropDWMin() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getRpropDWMin_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getRpropDWMinus()
- //
- //javadoc: ANN_MLP::getRpropDWMinus()
- public double getRpropDWMinus() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getRpropDWMinus_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: double cv::ml::ANN_MLP::getRpropDWPlus()
- //
- //javadoc: ANN_MLP::getRpropDWPlus()
- public double getRpropDWPlus() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- double retVal = ml_ANN_1MLP_getRpropDWPlus_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: int cv::ml::ANN_MLP::getAnnealItePerStep()
- //
- //javadoc: ANN_MLP::getAnnealItePerStep()
- public int getAnnealItePerStep() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- int retVal = ml_ANN_1MLP_getAnnealItePerStep_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: int cv::ml::ANN_MLP::getTrainMethod()
- //
- //javadoc: ANN_MLP::getTrainMethod()
- public int getTrainMethod() {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- int retVal = ml_ANN_1MLP_getTrainMethod_10(nativeObj);
- return retVal;
- #else
- return -1;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setActivationFunction(int type, double param1 = 0, double param2 = 0)
- //
- //javadoc: ANN_MLP::setActivationFunction(type, param1, param2)
- public void setActivationFunction(int type, double param1, double param2) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setActivationFunction_10(nativeObj, type, param1, param2);
- return;
- #else
- return;
- #endif
- }
- //javadoc: ANN_MLP::setActivationFunction(type, param1)
- public void setActivationFunction(int type, double param1) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setActivationFunction_11(nativeObj, type, param1);
- return;
- #else
- return;
- #endif
- }
- //javadoc: ANN_MLP::setActivationFunction(type)
- public void setActivationFunction(int type) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setActivationFunction_12(nativeObj, type);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setAnnealCoolingRatio(double val)
- //
- //javadoc: ANN_MLP::setAnnealCoolingRatio(val)
- public void setAnnealCoolingRatio(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setAnnealCoolingRatio_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setAnnealFinalT(double val)
- //
- //javadoc: ANN_MLP::setAnnealFinalT(val)
- public void setAnnealFinalT(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setAnnealFinalT_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setAnnealInitialT(double val)
- //
- //javadoc: ANN_MLP::setAnnealInitialT(val)
- public void setAnnealInitialT(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setAnnealInitialT_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setAnnealItePerStep(int val)
- //
- //javadoc: ANN_MLP::setAnnealItePerStep(val)
- public void setAnnealItePerStep(int val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setAnnealItePerStep_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setBackpropMomentumScale(double val)
- //
- //javadoc: ANN_MLP::setBackpropMomentumScale(val)
- public void setBackpropMomentumScale(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setBackpropMomentumScale_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setBackpropWeightScale(double val)
- //
- //javadoc: ANN_MLP::setBackpropWeightScale(val)
- public void setBackpropWeightScale(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setBackpropWeightScale_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setLayerSizes(Mat _layer_sizes)
- //
- //javadoc: ANN_MLP::setLayerSizes(_layer_sizes)
- public void setLayerSizes(Mat _layer_sizes) {
- ThrowIfDisposed();
- if (_layer_sizes != null) _layer_sizes.ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setLayerSizes_10(nativeObj, _layer_sizes.nativeObj);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setRpropDW0(double val)
- //
- //javadoc: ANN_MLP::setRpropDW0(val)
- public void setRpropDW0(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setRpropDW0_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setRpropDWMax(double val)
- //
- //javadoc: ANN_MLP::setRpropDWMax(val)
- public void setRpropDWMax(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setRpropDWMax_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setRpropDWMin(double val)
- //
- //javadoc: ANN_MLP::setRpropDWMin(val)
- public void setRpropDWMin(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setRpropDWMin_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setRpropDWMinus(double val)
- //
- //javadoc: ANN_MLP::setRpropDWMinus(val)
- public void setRpropDWMinus(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setRpropDWMinus_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setRpropDWPlus(double val)
- //
- //javadoc: ANN_MLP::setRpropDWPlus(val)
- public void setRpropDWPlus(double val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setRpropDWPlus_10(nativeObj, val);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setTermCriteria(TermCriteria val)
- //
- //javadoc: ANN_MLP::setTermCriteria(val)
- public void setTermCriteria(TermCriteria val) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setTermCriteria_10(nativeObj, val.type, val.maxCount, val.epsilon);
- return;
- #else
- return;
- #endif
- }
- //
- // C++: void cv::ml::ANN_MLP::setTrainMethod(int method, double param1 = 0, double param2 = 0)
- //
- //javadoc: ANN_MLP::setTrainMethod(method, param1, param2)
- public void setTrainMethod(int method, double param1, double param2) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setTrainMethod_10(nativeObj, method, param1, param2);
- return;
- #else
- return;
- #endif
- }
- //javadoc: ANN_MLP::setTrainMethod(method, param1)
- public void setTrainMethod(int method, double param1) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setTrainMethod_11(nativeObj, method, param1);
- return;
- #else
- return;
- #endif
- }
- //javadoc: ANN_MLP::setTrainMethod(method)
- public void setTrainMethod(int method) {
- ThrowIfDisposed();
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- ml_ANN_1MLP_setTrainMethod_12(nativeObj, method);
- return;
- #else
- return;
- #endif
- }
- #if (UNITY_ANDROID && !UNITY_EDITOR)
- const string LIBNAME = "opencvforunity";
- // C++: Mat cv::ml::ANN_MLP::getLayerSizes()
- [DllImport(LIBNAME)]
- private static extern IntPtr ml_ANN_1MLP_getLayerSizes_10(IntPtr nativeObj);
- // C++: Mat cv::ml::ANN_MLP::getWeights(int layerIdx)
- [DllImport(LIBNAME)]
- private static extern IntPtr ml_ANN_1MLP_getWeights_10(IntPtr nativeObj, int layerIdx);
- // C++: static Ptr_ANN_MLP cv::ml::ANN_MLP::create()
- [DllImport(LIBNAME)]
- private static extern IntPtr ml_ANN_1MLP_create_10();
- // C++: static Ptr_ANN_MLP cv::ml::ANN_MLP::load(String filepath)
- [DllImport(LIBNAME)]
- private static extern IntPtr ml_ANN_1MLP_load_10(string filepath);
- // C++: TermCriteria cv::ml::ANN_MLP::getTermCriteria()
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_getTermCriteria_10(IntPtr nativeObj, double[] retVal);
- // C++: double cv::ml::ANN_MLP::getAnnealCoolingRatio()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getAnnealCoolingRatio_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getAnnealFinalT()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getAnnealFinalT_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getAnnealInitialT()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getAnnealInitialT_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getBackpropMomentumScale()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getBackpropMomentumScale_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getBackpropWeightScale()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getBackpropWeightScale_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getRpropDW0()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getRpropDW0_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getRpropDWMax()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getRpropDWMax_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getRpropDWMin()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getRpropDWMin_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getRpropDWMinus()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getRpropDWMinus_10(IntPtr nativeObj);
- // C++: double cv::ml::ANN_MLP::getRpropDWPlus()
- [DllImport(LIBNAME)]
- private static extern double ml_ANN_1MLP_getRpropDWPlus_10(IntPtr nativeObj);
- // C++: int cv::ml::ANN_MLP::getAnnealItePerStep()
- [DllImport(LIBNAME)]
- private static extern int ml_ANN_1MLP_getAnnealItePerStep_10(IntPtr nativeObj);
- // C++: int cv::ml::ANN_MLP::getTrainMethod()
- [DllImport(LIBNAME)]
- private static extern int ml_ANN_1MLP_getTrainMethod_10(IntPtr nativeObj);
- // C++: void cv::ml::ANN_MLP::setActivationFunction(int type, double param1 = 0, double param2 = 0)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setActivationFunction_10(IntPtr nativeObj, int type, double param1, double param2);
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setActivationFunction_11(IntPtr nativeObj, int type, double param1);
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setActivationFunction_12(IntPtr nativeObj, int type);
- // C++: void cv::ml::ANN_MLP::setAnnealCoolingRatio(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setAnnealCoolingRatio_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setAnnealFinalT(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setAnnealFinalT_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setAnnealInitialT(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setAnnealInitialT_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setAnnealItePerStep(int val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setAnnealItePerStep_10(IntPtr nativeObj, int val);
- // C++: void cv::ml::ANN_MLP::setBackpropMomentumScale(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setBackpropMomentumScale_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setBackpropWeightScale(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setBackpropWeightScale_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setLayerSizes(Mat _layer_sizes)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setLayerSizes_10(IntPtr nativeObj, IntPtr _layer_sizes_nativeObj);
- // C++: void cv::ml::ANN_MLP::setRpropDW0(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setRpropDW0_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setRpropDWMax(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setRpropDWMax_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setRpropDWMin(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setRpropDWMin_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setRpropDWMinus(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setRpropDWMinus_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setRpropDWPlus(double val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setRpropDWPlus_10(IntPtr nativeObj, double val);
- // C++: void cv::ml::ANN_MLP::setTermCriteria(TermCriteria val)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setTermCriteria_10(IntPtr nativeObj, int val_type, int val_maxCount, double val_epsilon);
- // C++: void cv::ml::ANN_MLP::setTrainMethod(int method, double param1 = 0, double param2 = 0)
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setTrainMethod_10(IntPtr nativeObj, int method, double param1, double param2);
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setTrainMethod_11(IntPtr nativeObj, int method, double param1);
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_setTrainMethod_12(IntPtr nativeObj, int method);
- // native support for java finalize()
- [DllImport(LIBNAME)]
- private static extern void ml_ANN_1MLP_delete(IntPtr nativeObj);
- #endif
- }
- }
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