A norm based cost extraction. :
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#include <opencv2/shape/hist_cost.hpp>
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| virtual int | getNormFlag () const =0 |
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| virtual void | setNormFlag (int flag)=0 |
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| | Algorithm () |
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| virtual | ~Algorithm () |
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| virtual void | clear () |
| | Clears the algorithm state.
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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.
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| virtual String | getDefaultName () const |
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| virtual void | read (const FileNode &fn) |
| | Reads algorithm parameters from a file storage.
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| virtual void | save (const String &filename) const |
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| virtual void | write (FileStorage &fs) const |
| | Stores algorithm parameters in a file storage.
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| void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| | simplified API for language bindingsThis is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
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A norm based cost extraction. :
| virtual int cv::NormHistogramCostExtractor::getNormFlag |
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const |
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pure virtual |
| Python: |
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| retval | = | cv.NormHistogramCostExtractor.getNormFlag( | | ) |
| virtual void cv::NormHistogramCostExtractor::setNormFlag |
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int |
flag | ) |
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pure virtual |
| Python: |
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| None | = | cv.NormHistogramCostExtractor.setNormFlag( | flag | ) |
The documentation for this class was generated from the following file: