rknn-toolkit2-v2.1.0-2024-08-08
/
rknpu2
/examples
/3rdparty
/opencv
/opencv-linux-aarch64
/include
/opencv2
/videostab
/fast_marching.hpp
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| //M*/ | |
| namespace cv | |
| { | |
| namespace videostab | |
| { | |
| //! @addtogroup videostab_marching | |
| //! @{ | |
| /** @brief Describes the Fast Marching Method implementation. | |
| See http://iwi.eldoc.ub.rug.nl/FILES/root/2004/JGraphToolsTelea/2004JGraphToolsTelea.pdf | |
| */ | |
| class CV_EXPORTS FastMarchingMethod | |
| { | |
| public: | |
| FastMarchingMethod() : inf_(1e6f), size_(0) {} | |
| /** @brief Template method that runs the Fast Marching Method. | |
| @param mask Image mask. 0 value indicates that the pixel value must be inpainted, 255 indicates | |
| that the pixel value is known, other values aren't acceptable. | |
| @param inpaint Inpainting functor that overloads void operator ()(int x, int y). | |
| @return Inpainting functor. | |
| */ | |
| template <typename Inpaint> | |
| Inpaint run(const Mat &mask, Inpaint inpaint); | |
| /** | |
| @return Distance map that's created during working of the method. | |
| */ | |
| Mat distanceMap() const { return dist_; } | |
| private: | |
| enum { INSIDE = 0, BAND = 1, KNOWN = 255 }; | |
| struct DXY | |
| { | |
| float dist; | |
| int x, y; | |
| DXY() : dist(0), x(0), y(0) {} | |
| DXY(float _dist, int _x, int _y) : dist(_dist), x(_x), y(_y) {} | |
| bool operator <(const DXY &dxy) const { return dist < dxy.dist; } | |
| }; | |
| float solve(int x1, int y1, int x2, int y2) const; | |
| int& indexOf(const DXY &dxy) { return index_(dxy.y, dxy.x); } | |
| void heapUp(int idx); | |
| void heapDown(int idx); | |
| void heapAdd(const DXY &dxy); | |
| void heapRemoveMin(); | |
| float inf_; | |
| cv::Mat_<uchar> flag_; // flag map | |
| cv::Mat_<float> dist_; // distance map | |
| cv::Mat_<int> index_; // index of point in the narrow band | |
| std::vector<DXY> narrowBand_; // narrow band heap | |
| int size_; // narrow band size | |
| }; | |
| //! @} | |
| } // namespace videostab | |
| } // namespace cv | |