| 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 |
1.7.2