ActivationFunctions 枚举名称 | cv::ml::ANN_MLP | |
算法() | cv::Algorithm | |
ANNEAL 枚举值 | cv::ml::ANN_MLP | |
BACKPROP 枚举值 | cv::ml::ANN_MLP | |
calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const | cv::ml::StatModel | 虚拟 |
clear() | cv::Algorithm | inlinevirtual |
COMPRESSED_INPUT 枚举值 | cv::ml::StatModel | |
create() | cv::ml::ANN_MLP | 静态 |
empty() const CV_OVERRIDE | cv::ml::StatModel | 虚拟 |
Flags 枚举名称 | cv::ml::StatModel | |
GAUSSIAN 枚举值 | cv::ml::ANN_MLP | |
getAnnealCoolingRatio() const =0 | cv::ml::ANN_MLP | 纯虚 |
getAnnealFinalT() const =0 | cv::ml::ANN_MLP | 纯虚 |
getAnnealInitialT() const =0 | cv::ml::ANN_MLP | 纯虚 |
getAnnealItePerStep() const =0 | cv::ml::ANN_MLP | 纯虚 |
getBackpropMomentumScale() const =0 | cv::ml::ANN_MLP | 纯虚 |
getBackpropWeightScale() const =0 | cv::ml::ANN_MLP | 纯虚 |
getDefaultName() const | cv::Algorithm | 虚拟 |
getLayerSizes() const =0 | cv::ml::ANN_MLP | 纯虚 |
getRpropDW0() const =0 | cv::ml::ANN_MLP | 纯虚 |
getRpropDWMax() const =0 | cv::ml::ANN_MLP | 纯虚 |
getRpropDWMin() const =0 | cv::ml::ANN_MLP | 纯虚 |
getRpropDWMinus() const =0 | cv::ml::ANN_MLP | 纯虚 |
getRpropDWPlus() const =0 | cv::ml::ANN_MLP | 纯虚 |
getTermCriteria() const =0 | cv::ml::ANN_MLP | 纯虚 |
getTrainMethod() const =0 | cv::ml::ANN_MLP | 纯虚 |
getVarCount() const =0 | cv::ml::StatModel | 纯虚 |
getWeights(int layerIdx) const =0 | cv::ml::ANN_MLP | 纯虚 |
IDENTITY 枚举值 | cv::ml::ANN_MLP | |
isClassifier() const =0 | cv::ml::StatModel | 纯虚 |
isTrained() const =0 | cv::ml::StatModel | 纯虚 |
LEAKYRELU 枚举值 | cv::ml::ANN_MLP | |
load(const String &filepath) | cv::ml::ANN_MLP | 静态 |
cv::ml::StatModel::load(const String &filename, const String &objname=String()) | cv::Algorithm | inlinestatic |
loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | inlinestatic |
NO_INPUT_SCALE 枚举值 | cv::ml::ANN_MLP | |
NO_OUTPUT_SCALE 枚举值 | cv::ml::ANN_MLP | |
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0 | cv::ml::StatModel | 纯虚 |
PREPROCESSED_INPUT 枚举值 | cv::ml::StatModel | |
RAW_OUTPUT 枚举值 | cv::ml::StatModel | |
read(const FileNode &fn) | cv::Algorithm | inlinevirtual |
read(const FileNode &fn) | cv::Algorithm | inlinestatic |
RELU 枚举值 | cv::ml::ANN_MLP | |
RPROP 枚举值 | cv::ml::ANN_MLP | |
save(const String &filename) const | cv::Algorithm | 虚拟 |
setActivationFunction(int type, double param1=0, double param2=0)=0 | cv::ml::ANN_MLP | 纯虚 |
setAnnealCoolingRatio(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setAnnealEnergyRNG(const RNG &rng)=0 | cv::ml::ANN_MLP | 纯虚 |
setAnnealFinalT(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setAnnealInitialT(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setAnnealItePerStep(int val)=0 | cv::ml::ANN_MLP | 纯虚 |
setBackpropMomentumScale(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setBackpropWeightScale(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setLayerSizes(InputArray _layer_sizes)=0 | cv::ml::ANN_MLP | 纯虚 |
setRpropDW0(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setRpropDWMax(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setRpropDWMin(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setRpropDWMinus(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setRpropDWPlus(double val)=0 | cv::ml::ANN_MLP | 纯虚 |
setTermCriteria(TermCriteria val)=0 | cv::ml::ANN_MLP | 纯虚 |
setTrainMethod(int method, double param1=0, double param2=0)=0 | cv::ml::ANN_MLP | 纯虚 |
SIGMOID_SYM 枚举值 | cv::ml::ANN_MLP | |
train(const Ptr< TrainData > &trainData, int flags=0) | cv::ml::StatModel | 虚拟 |
train(InputArray samples, int layout, InputArray responses) | cv::ml::StatModel | 虚拟 |
train(const Ptr< TrainData > &data, int flags=0) | cv::ml::StatModel | inlinestatic |
TrainFlags 枚举名称 | cv::ml::ANN_MLP | |
TrainingMethods 枚举名称 | cv::ml::ANN_MLP | |
UPDATE_MODEL 枚举值 | cv::ml::StatModel | |
UPDATE_WEIGHTS 枚举值 | cv::ml::ANN_MLP | |
write(FileStorage &fs) const | cv::Algorithm | inlinevirtual |
write(FileStorage &fs, const String &name) const | cv::Algorithm | |
write(const Ptr< FileStorage > &fs, const String &name=String()) const | cv::Algorithm | |
writeFormat(FileStorage &fs) const | cv::Algorithm | 保护 |
~Algorithm() | cv::Algorithm | 虚拟 |