applyLUTToImage(cv::Mat &image) const | FeatureRegressor2 | |
combineLUTs(const FeatureRegressor2 &other) | FeatureRegressor2 | |
EPS | FeatureRegressor2 | [static] |
FeatureRegressor2() | FeatureRegressor2 | |
FeatureRegressor2(const Feature2 *feature) | FeatureRegressor2 | |
FeatureRegressor2(const FeatureRegressor2 ©) | FeatureRegressor2 | |
getFeature() const | FeatureRegressor2 | |
getFeaturePatchSize() const | FeatureRegressor2 | |
getLUTRange() const | FeatureRegressor2 | |
operator<<(cv::FileStorage &fs, const FeatureRegressor2 ®) | FeatureRegressor2 | [friend] |
operator=(const FeatureRegressor2 &rhs) | FeatureRegressor2 | |
operator>>(const cv::FileNode &fs, FeatureRegressor2 ®) | FeatureRegressor2 | [friend] |
predict(const std::vector< ImagePatch2 > &patches, cv::Mat &scalarVals) const | FeatureRegressor2 | |
predictPatchList(PatchList2 *patches) const | FeatureRegressor2 | |
setFeature(const Feature2 *feature) | FeatureRegressor2 | |
TAU | FeatureRegressor2 | [static] |
train(int numTableElements, const std::vector< ImagePatch2 > &patches, const cv::Mat &labels, const cv::Mat &dataWeights) | FeatureRegressor2 | |
~FeatureRegressor2() | FeatureRegressor2 |