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Any pixel which does not fit this model is then deemed to be foreground. The 86 class implements algorithm described in @cite Gold2012 . 87 */ 88 class CV_EXPORTS BackgroundSubtractorGMG : public cv::BackgroundSubtractor 89 { 90 public: 91 using cv::BackgroundSubtractor::apply; 92 virtual void apply(InputArray image, OutputArray fgmask, double learningRate, Stream& stream) = 0; 93 94 virtual int getMaxFeatures() const = 0; 95 virtual void setMaxFeatures(int maxFeatures) = 0; 96 97 virtual double getDefaultLearningRate() const = 0; 98 virtual void setDefaultLearningRate(double lr) = 0; 99 100 virtual int getNumFrames() const = 0; 101 virtual void setNumFrames(int nframes) = 0; 102 103 virtual int getQuantizationLevels() const = 0; 104 virtual void setQuantizationLevels(int nlevels) = 0; 105 106 virtual double getBackgroundPrior() const = 0; 107 virtual void setBackgroundPrior(double bgprior) = 0; 108 109 virtual int getSmoothingRadius() const = 0; 110 virtual void setSmoothingRadius(int radius) = 0; 111 112 virtual double getDecisionThreshold() const = 0; 113 virtual void setDecisionThreshold(double thresh) = 0; 114 115 virtual bool getUpdateBackgroundModel() const = 0; 116 virtual void setUpdateBackgroundModel(bool update) = 0; 117 118 virtual double getMinVal() const = 0; 119 virtual void setMinVal(double val) = 0; 120 121 virtual double getMaxVal() const = 0; 122 virtual void setMaxVal(double val) = 0; 123 }; 124 125 /** @brief Creates GMG Background Subtractor 126 127 @param initializationFrames Number of frames of video to use to initialize histograms. 128 @param decisionThreshold Value above which pixel is determined to be FG. 129 */ 130 CV_EXPORTS Ptr<cuda::BackgroundSubtractorGMG> 131 createBackgroundSubtractorGMG(int initializationFrames = 120, double decisionThreshold = 0.8); 132 133 // 134 // FGD 135 // 136 137 /** @brief The class discriminates between foreground and background pixels by building and maintaining a model 138 of the background. 139 140 Any pixel which does not fit this model is then deemed to be foreground. The class implements 141 algorithm described in @cite FGD2003 . 142 @sa BackgroundSubtractor 143 */ 144 class CV_EXPORTS BackgroundSubtractorFGD : public cv::BackgroundSubtractor 145 { 146 public: 147 /** @brief Returns the output foreground regions calculated by findContours. 148 149 @param foreground_regions Output array (CPU memory). 150 */ 151 virtual void getForegroundRegions(OutputArrayOfArrays foreground_regions) = 0; 152 }; 153 154 struct CV_EXPORTS FGDParams 155 { 156 int Lc; //!< Quantized levels per 'color' component. Power of two, typically 32, 64 or 128. 157 int N1c; //!< Number of color vectors used to model normal background color variation at a given pixel. 158 int N2c; //!< Number of color vectors retained at given pixel. Must be > N1c, typically ~ 5/3 of N1c. 159 //!< Used to allow the first N1c vectors to adapt over time to changing background. 160 161 int Lcc; //!< Quantized levels per 'color co-occurrence' component. Power of two, typically 16, 32 or 64. 162 int N1cc; //!< Number of color co-occurrence vectors used to model normal background color variation at a given pixel. 163 int N2cc; //!< Number of color co-occurrence vectors retained at given pixel. Must be > N1cc, typically ~ 5/3 of N1cc. 164 //!< Used to allow the first N1cc vectors to adapt over time to changing background. 165 166 bool is_obj_without_holes; //!< If TRUE we ignore holes within foreground blobs. Defaults to TRUE. 167 int perform_morphing; //!< Number of erode-dilate-erode foreground-blob cleanup iterations. 168 //!< These erase one-pixel junk blobs and merge almost-touching blobs. Default value is 1. 169 170 float alpha1; //!< How quickly we forget old background pixel values seen. Typically set to 0.1. 171 float alpha2; //!< "Controls speed of feature learning". Depends on T. Typical value circa 0.005. 172 float alpha3; //!< Alternate to alpha2, used (e.g.) for quicker initial convergence. Typical value 0.1. 173 174 float delta; //!< Affects color and color co-occurrence quantization, typically set to 2. 175 float T; //!< A percentage value which determines when new features can be recognized as new background. (Typically 0.9). 176 float minArea; //!< Discard foreground blobs whose bounding box is smaller than this threshold. 177 178 //! default Params 179 FGDParams(); 180 }; 181 182 /** @brief Creates FGD Background Subtractor 183 184 @param params Algorithm's parameters. See @cite FGD2003 for explanation. 185 */ 186 CV_EXPORTS Ptr<cuda::BackgroundSubtractorFGD> 187 createBackgroundSubtractorFGD(const FGDParams& params = FGDParams()); 188 189 // 190 // Optical flow 191 // 192 193 //! Calculates optical flow for 2 images using block matching algorithm */ 194 CV_EXPORTS void calcOpticalFlowBM(const GpuMat& prev, const GpuMat& curr, 195 Size block_size, Size shift_size, Size max_range, bool use_previous, 196 GpuMat& velx, GpuMat& vely, GpuMat& buf, 197 Stream& stream = Stream::Null()); 198 199 class CV_EXPORTS FastOpticalFlowBM 200 { 201 public: 202 void operator ()(const GpuMat& I0, const GpuMat& I1, GpuMat& flowx, GpuMat& flowy, int search_window = 21, int block_window = 7, Stream& s = Stream::Null()); 203 204 private: 205 GpuMat buffer; 206 GpuMat extended_I0; 207 GpuMat extended_I1; 208 }; 209 210 /** @brief Interpolates frames (images) using provided optical flow (displacement field). 211 212 @param frame0 First frame (32-bit floating point images, single channel). 213 @param frame1 Second frame. Must have the same type and size as frame0 . 214 @param fu Forward horizontal displacement. 215 @param fv Forward vertical displacement. 216 @param bu Backward horizontal displacement. 217 @param bv Backward vertical displacement. 218 @param pos New frame position. 219 @param newFrame Output image. 220 @param buf Temporary buffer, will have width x 6\*height size, CV_32FC1 type and contain 6 221 GpuMat: occlusion masks for first frame, occlusion masks for second, interpolated forward 222 horizontal flow, interpolated forward vertical flow, interpolated backward horizontal flow, 223 interpolated backward vertical flow. 224 @param stream Stream for the asynchronous version. 225 */ 226 CV_EXPORTS void interpolateFrames(const GpuMat& frame0, const GpuMat& frame1, 227 const GpuMat& fu, const GpuMat& fv, 228 const GpuMat& bu, const GpuMat& bv, 229 float pos, GpuMat& newFrame, GpuMat& buf, 230 Stream& stream = Stream::Null()); 231 232 CV_EXPORTS void createOpticalFlowNeedleMap(const GpuMat& u, const GpuMat& v, GpuMat& vertex, GpuMat& colors); 233 234 // 235 // Labeling 236 // 237 238 //!performs labeling via graph cuts of a 2D regular 4-connected graph. 239 CV_EXPORTS void graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& bottom, GpuMat& labels, 240 GpuMat& buf, Stream& stream = Stream::Null()); 241 242 //!performs labeling via graph cuts of a 2D regular 8-connected graph. 243 CV_EXPORTS void graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& topLeft, GpuMat& topRight, 244 GpuMat& bottom, GpuMat& bottomLeft, GpuMat& bottomRight, 245 GpuMat& labels, 246 GpuMat& buf, Stream& stream = Stream::Null()); 247 248 //! compute mask for Generalized Flood fill componetns labeling. 249 CV_EXPORTS void connectivityMask(const GpuMat& image, GpuMat& mask, const cv::Scalar& lo, const cv::Scalar& hi, Stream& stream = Stream::Null()); 250 251 //! performs connected componnents labeling. 252 CV_EXPORTS void labelComponents(const GpuMat& mask, GpuMat& components, int flags = 0, Stream& stream = Stream::Null()); 253 254 // 255 // Calib3d 256 // 257 258 CV_EXPORTS void transformPoints(const GpuMat& src, const Mat& rvec, const Mat& tvec, 259 GpuMat& dst, Stream& stream = Stream::Null()); 260 261 CV_EXPORTS void projectPoints(const GpuMat& src, const Mat& rvec, const Mat& tvec, 262 const Mat& camera_mat, const Mat& dist_coef, GpuMat& dst, 263 Stream& stream = Stream::Null()); 264 265 /** @brief Finds the object pose from 3D-2D point correspondences. 266 267 @param object Single-row matrix of object points. 268 @param image Single-row matrix of image points. 269 @param camera_mat 3x3 matrix of intrinsic camera parameters. 270 @param dist_coef Distortion coefficients. See undistortPoints for details. 271 @param rvec Output 3D rotation vector. 272 @param tvec Output 3D translation vector. 273 @param use_extrinsic_guess Flag to indicate that the function must use rvec and tvec as an 274 initial transformation guess. It is not supported for now. 275 @param num_iters Maximum number of RANSAC iterations. 276 @param max_dist Euclidean distance threshold to detect whether point is inlier or not. 277 @param min_inlier_count Flag to indicate that the function must stop if greater or equal number 278 of inliers is achieved. It is not supported for now. 279 @param inliers Output vector of inlier indices. 280 */ 281 CV_EXPORTS void solvePnPRansac(const Mat& object, const Mat& image, const Mat& camera_mat, 282 const Mat& dist_coef, Mat& rvec, Mat& tvec, bool use_extrinsic_guess=false, 283 int num_iters=100, float max_dist=8.0, int min_inlier_count=100, 284 std::vector<int>* inliers=NULL); 285 286 //! @} 287 288 }} 289 290 #endif /* __OPENCV_CUDALEGACY_HPP__ */ 291
