#include "sparse_matching_gpc.hpp"
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void | findCorrespondences (InputArray imgFrom, InputArray imgTo, std::vector< std::pair< Point2i, Point2i > > &corr, const GPCMatchingParams params=GPCMatchingParams()) const |
| Find correspondences between two images. More...
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void | read (const FileNode &fn) CV_OVERRIDE |
| Reads algorithm parameters from a file storage. More...
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void | train (GPCTrainingSamples &samples, const GPCTrainingParams params=GPCTrainingParams()) |
| Train the forest using one sample set for every tree. Please, consider using the next method instead of this one for better quality. More...
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void | train (const std::vector< String > &imagesFrom, const std::vector< String > &imagesTo, const std::vector< String > >, const GPCTrainingParams params=GPCTrainingParams()) |
| Train the forest using individual samples for each tree. It is generally better to use this instead of the first method. More...
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void | train (InputArrayOfArrays imagesFrom, InputArrayOfArrays imagesTo, InputArrayOfArrays gt, const GPCTrainingParams params=GPCTrainingParams()) |
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void | write (FileStorage &fs) const CV_OVERRIDE |
| Stores algorithm parameters in a file storage. More...
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| Algorithm () |
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virtual | ~Algorithm () |
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virtual void | clear () |
| Clears the algorithm state. More...
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virtual bool | empty () const |
| Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
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virtual String | getDefaultName () const |
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virtual void | save (const String &filename) const |
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void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
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§ create()
§ read()
Reads algorithm parameters from a file storage.
Reimplemented from cv::Algorithm.
§ train() [1/3]
Train the forest using one sample set for every tree. Please, consider using the next method instead of this one for better quality.
§ train() [2/3]
Train the forest using individual samples for each tree. It is generally better to use this instead of the first method.
§ train() [3/3]
§ write()
Stores algorithm parameters in a file storage.
Reimplemented from cv::Algorithm.
The documentation for this class was generated from the following file: