Merge pull request #128 from LeonidBeynenson/fix_args_calcOpticalFlowSF
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2e2d927273
@ -601,17 +601,15 @@ calcOpticalFlowSF
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-----------------
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Calculate an optical flow using "SimpleFlow" algorithm.
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.. ocv:function:: void calcOpticalFlowSF( Mat& from, Mat& to, Mat& flow, int layers, int averaging_block_size, int max_flow )
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.. ocv:function:: void calcOpticalFlowSF( InputArray from, InputArray to, OutputArray flow, int layers, int averaging_block_size, int max_flow )
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.. ocv:function:: calcOpticalFlowSF( Mat& from, Mat& to, Mat& flow, int layers, int averaging_block_size, int max_flow, double sigma_dist, double sigma_color, int postprocess_window, double sigma_dist_fix, double sigma_color_fix, double occ_thr, int upscale_averaging_radius, double upscale_sigma_dist, double upscale_sigma_color, double speed_up_thr )
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.. ocv:function:: calcOpticalFlowSF( InputArray from, InputArray to, OutputArray flow, int layers, int averaging_block_size, int max_flow, double sigma_dist, double sigma_color, int postprocess_window, double sigma_dist_fix, double sigma_color_fix, double occ_thr, int upscale_averaging_radius, double upscale_sigma_dist, double upscale_sigma_color, double speed_up_thr )
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:param prev: First 8-bit 3-channel image.
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:param next: Second 8-bit 3-channel image
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:param next: Second 8-bit 3-channel image of the same size as ``prev``
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:param flowX: X-coordinate of estimated flow
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:param flowY: Y-coordinate of estimated flow
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:param flow: computed flow image that has the same size as ``prev`` and type ``CV_32FC2``
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:param layers: Number of layers
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@ -631,7 +629,7 @@ Calculate an optical flow using "SimpleFlow" algorithm.
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:param occ_thr: threshold for detecting occlusions
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:param upscale_averaging_radiud: window size for bilateral upscale operation
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:param upscale_averaging_radius: window size for bilateral upscale operation
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:param upscale_sigma_dist: spatial sigma for bilateral upscale operation
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@ -328,16 +328,16 @@ CV_EXPORTS_W Mat estimateRigidTransform( InputArray src, InputArray dst,
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bool fullAffine);
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//! computes dense optical flow using Simple Flow algorithm
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CV_EXPORTS_W void calcOpticalFlowSF(Mat& from,
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Mat& to,
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Mat& flow,
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CV_EXPORTS_W void calcOpticalFlowSF(InputArray from,
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InputArray to,
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OutputArray flow,
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int layers,
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int averaging_block_size,
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int max_flow);
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CV_EXPORTS_W void calcOpticalFlowSF(Mat& from,
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Mat& to,
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Mat& flow,
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CV_EXPORTS_W void calcOpticalFlowSF(InputArray from,
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InputArray to,
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OutputArray flow,
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int layers,
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int averaging_block_size,
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int max_flow,
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@ -447,7 +447,7 @@ static void extrapolateFlow(Mat& flow,
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}
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}
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static void buildPyramidWithResizeMethod(Mat& src,
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static void buildPyramidWithResizeMethod(const Mat& src,
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vector<Mat>& pyramid,
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int layers,
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int interpolation_type) {
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@ -464,9 +464,9 @@ static void buildPyramidWithResizeMethod(Mat& src,
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}
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}
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CV_EXPORTS_W void calcOpticalFlowSF(Mat& from,
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Mat& to,
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Mat& resulted_flow,
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CV_EXPORTS_W void calcOpticalFlowSF(InputArray _from,
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InputArray _to,
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OutputArray _resulted_flow,
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int layers,
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int averaging_radius,
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int max_flow,
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@ -479,7 +479,11 @@ CV_EXPORTS_W void calcOpticalFlowSF(Mat& from,
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int upscale_averaging_radius,
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double upscale_sigma_dist,
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double upscale_sigma_color,
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double speed_up_thr) {
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double speed_up_thr)
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{
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Mat from = _from.getMat();
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Mat to = _to.getMat();
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vector<Mat> pyr_from_images;
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vector<Mat> pyr_to_images;
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@ -632,14 +636,15 @@ CV_EXPORTS_W void calcOpticalFlowSF(Mat& from,
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GaussianBlur(flow, flow, Size(3, 3), 5);
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resulted_flow = Mat(flow.size(), CV_32FC2);
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_resulted_flow.create(flow.size(), CV_32FC2);
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Mat resulted_flow = _resulted_flow.getMat();
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int from_to[] = {0,1 , 1,0};
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mixChannels(&flow, 1, &resulted_flow, 1, from_to, 2);
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}
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CV_EXPORTS_W void calcOpticalFlowSF(Mat& from,
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Mat& to,
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Mat& flow,
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CV_EXPORTS_W void calcOpticalFlowSF(InputArray from,
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InputArray to,
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OutputArray flow,
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int layers,
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int averaging_block_size,
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int max_flow) {
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