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							- /*
 
-  *  By downloading, copying, installing or using the software you agree to this license.
 
-  *  If you do not agree to this license, do not download, install,
 
-  *  copy or use the software.
 
-  *
 
-  *
 
-  *  License Agreement
 
-  *  For Open Source Computer Vision Library
 
-  *  (3 - clause BSD License)
 
-  *
 
-  *  Redistribution and use in source and binary forms, with or without modification,
 
-  *  are permitted provided that the following conditions are met :
 
-  *
 
-  *  * Redistributions of source code must retain the above copyright notice,
 
-  *  this list of conditions and the following disclaimer.
 
-  *
 
-  *  * Redistributions in binary form must reproduce the above copyright notice,
 
-  *  this list of conditions and the following disclaimer in the documentation
 
-  *  and / or other materials provided with the distribution.
 
-  *
 
-  *  * Neither the names of the copyright holders nor the names of the contributors
 
-  *  may be used to endorse or promote products derived from this software
 
-  *  without specific prior written permission.
 
-  *
 
-  *  This software is provided by the copyright holders and contributors "as is" and
 
-  *  any express or implied warranties, including, but not limited to, the implied
 
-  *  warranties of merchantability and fitness for a particular purpose are disclaimed.
 
-  *  In no event shall copyright holders or contributors be liable for any direct,
 
-  *  indirect, incidental, special, exemplary, or consequential damages
 
-  *  (including, but not limited to, procurement of substitute goods or services;
 
-  *  loss of use, data, or profits; or business interruption) however caused
 
-  *  and on any theory of liability, whether in contract, strict liability,
 
-  *  or tort(including negligence or otherwise) arising in any way out of
 
-  *  the use of this software, even if advised of the possibility of such damage.
 
-  */
 
- #ifndef __OPENCV_SPARSEMATCHINTERPOLATOR_HPP__
 
- #define __OPENCV_SPARSEMATCHINTERPOLATOR_HPP__
 
- #ifdef __cplusplus
 
- #include <opencv2/core.hpp>
 
- namespace cv {
 
- namespace ximgproc {
 
- //! @addtogroup ximgproc_filters
 
- //! @{
 
- /** @brief Main interface for all filters, that take sparse matches as an
 
- input and produce a dense per-pixel matching (optical flow) as an output.
 
-  */
 
- class CV_EXPORTS_W SparseMatchInterpolator : public Algorithm
 
- {
 
- public:
 
-     /** @brief Interpolate input sparse matches.
 
-     @param from_image first of the two matched images, 8-bit single-channel or three-channel.
 
-     @param from_points points of the from_image for which there are correspondences in the
 
-     to_image (Point2f vector, size shouldn't exceed 32767)
 
-     @param to_image second of the two matched images, 8-bit single-channel or three-channel.
 
-     @param to_points points in the to_image corresponding to from_points
 
-     (Point2f vector, size shouldn't exceed 32767)
 
-     @param dense_flow output dense matching (two-channel CV_32F image)
 
-      */
 
-     CV_WRAP virtual void interpolate(InputArray from_image, InputArray from_points,
 
-                                      InputArray to_image  , InputArray to_points,
 
-                                      OutputArray dense_flow) = 0;
 
- };
 
- /** @brief Sparse match interpolation algorithm based on modified locally-weighted affine
 
- estimator from @cite Revaud2015 and Fast Global Smoother as post-processing filter.
 
-  */
 
- class CV_EXPORTS_W EdgeAwareInterpolator : public SparseMatchInterpolator
 
- {
 
- public:
 
-     /** @brief K is a number of nearest-neighbor matches considered, when fitting a locally affine
 
-     model. Usually it should be around 128. However, lower values would make the interpolation
 
-     noticeably faster.
 
-      */
 
-     CV_WRAP virtual void setK(int _k) = 0;
 
-     /** @see setK */
 
-     CV_WRAP virtual int  getK() = 0;
 
-     /** @brief Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine
 
-     fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the
 
-     output flow.
 
-      */
 
-     CV_WRAP virtual void  setSigma(float _sigma) = 0;
 
-     /** @see setSigma */
 
-     CV_WRAP virtual float getSigma() = 0;
 
-     /** @brief Lambda is a parameter defining the weight of the edge-aware term in geodesic distance,
 
-     should be in the range of 0 to 1000.
 
-      */
 
-     CV_WRAP virtual void  setLambda(float _lambda) = 0;
 
-     /** @see setLambda */
 
-     CV_WRAP virtual float getLambda() = 0;
 
-     /** @brief Sets whether the fastGlobalSmootherFilter() post-processing is employed. It is turned on by
 
-     default.
 
-      */
 
-     CV_WRAP virtual void setUsePostProcessing(bool _use_post_proc) = 0;
 
-     /** @see setUsePostProcessing */
 
-     CV_WRAP virtual bool getUsePostProcessing() = 0;
 
-     /** @brief Sets the respective fastGlobalSmootherFilter() parameter.
 
-      */
 
-     CV_WRAP virtual void  setFGSLambda(float _lambda) = 0;
 
-     /** @see setFGSLambda */
 
-     CV_WRAP virtual float getFGSLambda() = 0;
 
-     /** @see setFGSLambda */
 
-     CV_WRAP virtual void  setFGSSigma(float _sigma) = 0;
 
-     /** @see setFGSLambda */
 
-     CV_WRAP virtual float getFGSSigma() = 0;
 
- };
 
- /** @brief Factory method that creates an instance of the
 
- EdgeAwareInterpolator.
 
- */
 
- CV_EXPORTS_W
 
- Ptr<EdgeAwareInterpolator> createEdgeAwareInterpolator();
 
- //! @}
 
- }
 
- }
 
- #endif
 
- #endif
 
 
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