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116 lines
4.0 KiB
116 lines
4.0 KiB
Dense Optical Flow |
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Dense optical flow algorithms compute motion for each point |
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calcOpticalFlowSF |
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----------------- |
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Calculate an optical flow using "SimpleFlow" algorithm. |
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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( 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 of the same size as ``prev`` |
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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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:param averaging_block_size: Size of block through which we sum up when calculate cost function for pixel |
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:param max_flow: maximal flow that we search at each level |
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:param sigma_dist: vector smooth spatial sigma parameter |
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:param sigma_color: vector smooth color sigma parameter |
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:param postprocess_window: window size for postprocess cross bilateral filter |
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:param sigma_dist_fix: spatial sigma for postprocess cross bilateralf filter |
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:param sigma_color_fix: color sigma for postprocess cross bilateral filter |
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:param occ_thr: threshold for detecting occlusions |
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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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:param upscale_sigma_color: color sigma for bilateral upscale operation |
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:param speed_up_thr: threshold to detect point with irregular flow - where flow should be recalculated after upscale |
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See [Tao2012]_. And site of project - http://graphics.berkeley.edu/papers/Tao-SAN-2012-05/. |
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.. note:: |
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* An example using the simpleFlow algorithm can be found at samples/simpleflow_demo.cpp |
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optflow::OpticalFlowDeepFlow |
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DeepFlow optical flow algorithm implementation. |
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.. ocv:class:: optflow::OpticalFlowDeepFlow: public DenseOpticalFlow |
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The class implements the DeepFlow optical flow algorithm described in [Weinzaepfel2013]_ . See also http://lear.inrialpes.fr/src/deepmatching/ . |
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Parameters - class fields - that may be modified after creating a class instance: |
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.. ocv:member:: float alpha |
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Smoothness assumption weight |
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.. ocv:member:: float delta |
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Color constancy assumption weight |
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.. ocv:member:: float gamma |
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Gradient constancy weight |
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.. ocv:member:: float sigma |
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Gaussian smoothing parameter |
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.. ocv:member:: int minSize |
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Minimal dimension of an image in the pyramid (next, smaller images in the pyramid are |
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generated until one of the dimensions reaches this size) |
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.. ocv:member:: float downscaleFactor |
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Scaling factor in the image pyramid (must be < 1) |
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.. ocv:member:: int fixedPointIterations |
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How many iterations on each level of the pyramid |
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.. ocv:member:: int sorIterations |
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Iterations of Succesive Over-Relaxation (solver) |
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.. ocv:member:: float omega |
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Relaxation factor in SOR |
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optflow::createOptFlow_DeepFlow |
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--------------------------------- |
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Create an OpticalFlowDeepFlow instance |
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.. ocv:function:: Ptr<DenseOpticalFlow> optflow::createOptFlow_DeepFlow() |
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Returns a pointer to a ``DenseOpticalFlow`` instance - see ``DenseOpticalFlow::calc()`` |
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.. [Tao2012] Michael Tao, Jiamin Bai, Pushmeet Kohli and Sylvain Paris. SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm. Computer Graphics Forum (Eurographics 2012) |
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.. [Weinzaepfel2013] P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid, “DeepFlow: Large Displacement Optical Flow with Deep Matching,” 2013 IEEE Int. Conf. Comput. Vis., pp. 1385–1392, Dec. 2013.
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