#include "sparse_matching_gpc.hpp"
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void | read (const FileNode &fn) |
| Reads algorithm parameters from a file storage. More...
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void | train (GPCSamplesVector &samples) |
| 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 > >) |
| 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 | write (FileStorage &fs) const |
| 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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Reads algorithm parameters from a file storage.
Reimplemented from cv::Algorithm.
Train the forest using one sample set for every tree. Please, consider using the next method instead of this one for better quality.
Train the forest using individual samples for each tree. It is generally better to use this instead of the first method.
Stores algorithm parameters in a file storage.
Reimplemented from cv::Algorithm.
The documentation for this class was generated from the following file: