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@@ -156,6 +156,64 @@ to the flow in the horizontal direction (u), second - vertical (v).
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*/
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CV_EXPORTS_W bool writeOpticalFlow( const String& path, InputArray flow );
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/** @brief Variational optical flow refinement
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This class implements variational refinement of the input flow field, i.e.
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it uses input flow to initialize the minimization of the following functional:
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\f$E(U) = \int_{\Omega} \delta \Psi(E_I) + \gamma \Psi(E_G) + \alpha \Psi(E_S) \f$,
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where \f$E_I,E_G,E_S\f$ are color constancy, gradient constancy and smoothness terms
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respectively. \f$\Psi(s^2)=\sqrt{s^2+\epsilon^2}\f$ is a robust penalizer to limit the
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influence of outliers. A complete formulation and a description of the minimization
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procedure can be found in @cite Brox2004
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*/
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class CV_EXPORTS_W VariationalRefinement : public DenseOpticalFlow
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{
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public:
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/** @brief calc function overload to handle separate horizontal (u) and vertical (v) flow components
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(to avoid extra splits/merges) */
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CV_WRAP virtual void calcUV(InputArray I0, InputArray I1, InputOutputArray flow_u, InputOutputArray flow_v) = 0;
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/** @brief Number of outer (fixed-point) iterations in the minimization procedure.
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@see setFixedPointIterations */
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CV_WRAP virtual int getFixedPointIterations() const = 0;
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/** @copybrief getFixedPointIterations @see getFixedPointIterations */
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CV_WRAP virtual void setFixedPointIterations(int val) = 0;
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/** @brief Number of inner successive over-relaxation (SOR) iterations
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in the minimization procedure to solve the respective linear system.
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@see setSorIterations */
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CV_WRAP virtual int getSorIterations() const = 0;
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/** @copybrief getSorIterations @see getSorIterations */
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CV_WRAP virtual void setSorIterations(int val) = 0;
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/** @brief Relaxation factor in SOR
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@see setOmega */
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CV_WRAP virtual float getOmega() const = 0;
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/** @copybrief getOmega @see getOmega */
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CV_WRAP virtual void setOmega(float val) = 0;
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/** @brief Weight of the smoothness term
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@see setAlpha */
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CV_WRAP virtual float getAlpha() const = 0;
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/** @copybrief getAlpha @see getAlpha */
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CV_WRAP virtual void setAlpha(float val) = 0;
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/** @brief Weight of the color constancy term
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@see setDelta */
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CV_WRAP virtual float getDelta() const = 0;
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/** @copybrief getDelta @see getDelta */
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CV_WRAP virtual void setDelta(float val) = 0;
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/** @brief Weight of the gradient constancy term
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@see setGamma */
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CV_WRAP virtual float getGamma() const = 0;
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/** @copybrief getGamma @see getGamma */
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CV_WRAP virtual void setGamma(float val) = 0;
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};
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/** @brief Creates an instance of VariationalRefinement
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*/
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CV_EXPORTS_W Ptr<VariationalRefinement> createVariationalFlowRefinement();
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/** @brief DeepFlow optical flow algorithm implementation.
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@@ -196,40 +254,80 @@ CV_EXPORTS_W Ptr<DenseOpticalFlow> createOptFlow_SparseToDense();
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/** @brief DIS optical flow algorithm.
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This class implements the Dense Inverse Search (DIS) optical flow algorithm. More
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details about the algorithm can be found at @cite Kroeger2016 .
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details about the algorithm can be found at @cite Kroeger2016 . Includes three presets with preselected
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parameters to provide reasonable trade-off between speed and quality. However, even the slowest preset is
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still relatively fast, use DeepFlow if you need better quality and don't care about speed.
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*/
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class CV_EXPORTS_W DISOpticalFlow : public DenseOpticalFlow
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{
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public:
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/** @brief Finest level of the gaussian pyramid on which the flow is computed (zero level
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corresponds to the original image resolution).The final flow is obtained by bilinear upscaling.
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enum
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{
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PRESET_ULTRAFAST = 0,
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PRESET_FAST = 1,
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PRESET_MEDIUM = 2
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};
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/** @brief Finest level of the Gaussian pyramid on which the flow is computed (zero level
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corresponds to the original image resolution). The final flow is obtained by bilinear upscaling.
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@see setFinestScale */
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virtual int getFinestScale() const = 0;
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CV_WRAP virtual int getFinestScale() const = 0;
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/** @copybrief getFinestScale @see getFinestScale */
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virtual void setFinestScale(int val) = 0;
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CV_WRAP virtual void setFinestScale(int val) = 0;
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/** @brief Size of an image patch for matching (in pixels)
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/** @brief Size of an image patch for matching (in pixels). Normally, default 8x8 patches work well
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enough in most cases.
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@see setPatchSize */
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virtual int getPatchSize() const = 0;
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CV_WRAP virtual int getPatchSize() const = 0;
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/** @copybrief getPatchSize @see getPatchSize */
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virtual void setPatchSize(int val) = 0;
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CV_WRAP virtual void setPatchSize(int val) = 0;
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/** @brief Stride between neighbor patches. Must be less than patch size.
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/** @brief Stride between neighbor patches. Must be less than patch size. Lower values correspond
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to higher flow quality.
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@see setPatchStride */
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virtual int getPatchStride() const = 0;
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CV_WRAP virtual int getPatchStride() const = 0;
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/** @copybrief getPatchStride @see getPatchStride */
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virtual void setPatchStride(int val) = 0;
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CV_WRAP virtual void setPatchStride(int val) = 0;
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/** @brief number of gradient descent iterations in the patch inverse search stage
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/** @brief Maximum number of gradient descent iterations in the patch inverse search stage. Higher values
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may improve quality in some cases.
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@see setGradientDescentIterations */
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virtual int getGradientDescentIterations() const = 0;
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CV_WRAP virtual int getGradientDescentIterations() const = 0;
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/** @copybrief getGradientDescentIterations @see getGradientDescentIterations */
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virtual void setGradientDescentIterations(int val) = 0;
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CV_WRAP virtual void setGradientDescentIterations(int val) = 0;
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/** @brief Number of fixed point iterations of variational refinement per scale. Set to zero to
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disable variational refinement completely. Higher values will typically result in more smooth and
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high-quality flow.
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@see setGradientDescentIterations */
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CV_WRAP virtual int getVariationalRefinementIterations() const = 0;
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/** @copybrief getGradientDescentIterations @see getGradientDescentIterations */
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CV_WRAP virtual void setVariationalRefinementIterations(int val) = 0;
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/** @brief Whether to use mean-normalization of patches when computing patch distance. It is turned on
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by default as it typically provides a noticeable quality boost because of increased robustness to
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illumanition variations. Turn it off if you are certain that your sequence does't contain any changes
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in illumination.
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@see setUseMeanNormalization */
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CV_WRAP virtual bool getUseMeanNormalization() const = 0;
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/** @copybrief getUseMeanNormalization @see getUseMeanNormalization */
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CV_WRAP virtual void setUseMeanNormalization(bool val) = 0;
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/** @brief Whether to use spatial propagation of good optical flow vectors. This option is turned on by
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default, as it tends to work better on average and can sometimes help recover from major errors
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introduced by the coarse-to-fine scheme employed by the DIS optical flow algorithm. Turning this
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option off can make the output flow field a bit smoother, however.
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@see setUseSpatialPropagation */
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CV_WRAP virtual bool getUseSpatialPropagation() const = 0;
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/** @copybrief getUseSpatialPropagation @see getUseSpatialPropagation */
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CV_WRAP virtual void setUseSpatialPropagation(bool val) = 0;
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};
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/** @brief Creates an instance of DISOpticalFlow
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@param preset one of PRESET_ULTRAFAST, PRESET_FAST and PRESET_MEDIUM
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*/
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CV_EXPORTS_W Ptr<DISOpticalFlow> createOptFlow_DIS();
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CV_EXPORTS_W Ptr<DISOpticalFlow> createOptFlow_DIS(int preset = DISOpticalFlow::PRESET_FAST);
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//! @}
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