OpenCV  4.1.0
Open Source Computer Vision
cv::BackgroundSubtractorKNN Member List

This is the complete list of members for cv::BackgroundSubtractorKNN, including all inherited members.

Algorithm()cv::Algorithm
apply(InputArray image, OutputArray fgmask, double learningRate=-1)=0cv::BackgroundSubtractorpure virtual
clear()cv::Algorithminlinevirtual
empty() const cv::Algorithminlinevirtual
getBackgroundImage(OutputArray backgroundImage) const =0cv::BackgroundSubtractorpure virtual
getDefaultName() const cv::Algorithmvirtual
getDetectShadows() const =0cv::BackgroundSubtractorKNNpure virtual
getDist2Threshold() const =0cv::BackgroundSubtractorKNNpure virtual
getHistory() const =0cv::BackgroundSubtractorKNNpure virtual
getkNNSamples() const =0cv::BackgroundSubtractorKNNpure virtual
getNSamples() const =0cv::BackgroundSubtractorKNNpure virtual
getShadowThreshold() const =0cv::BackgroundSubtractorKNNpure virtual
getShadowValue() const =0cv::BackgroundSubtractorKNNpure virtual
load(const String &filename, const String &objname=String())cv::Algorithminlinestatic
loadFromString(const String &strModel, const String &objname=String())cv::Algorithminlinestatic
read(const FileNode &fn)cv::Algorithminlinevirtual
read(const FileNode &fn)cv::Algorithminlinestatic
save(const String &filename) const cv::Algorithmvirtual
setDetectShadows(bool detectShadows)=0cv::BackgroundSubtractorKNNpure virtual
setDist2Threshold(double _dist2Threshold)=0cv::BackgroundSubtractorKNNpure virtual
setHistory(int history)=0cv::BackgroundSubtractorKNNpure virtual
setkNNSamples(int _nkNN)=0cv::BackgroundSubtractorKNNpure virtual
setNSamples(int _nN)=0cv::BackgroundSubtractorKNNpure virtual
setShadowThreshold(double threshold)=0cv::BackgroundSubtractorKNNpure virtual
setShadowValue(int value)=0cv::BackgroundSubtractorKNNpure virtual
write(FileStorage &fs) const cv::Algorithminlinevirtual
write(const Ptr< FileStorage > &fs, const String &name=String()) const cv::Algorithm
writeFormat(FileStorage &fs) const cv::Algorithmprotected
~Algorithm()cv::Algorithmvirtual