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// License Agreement
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// For Open Source Computer Vision Library
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
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//M*/
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#ifndef __OPENCV_EDGEBOXES_HPP__
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#define __OPENCV_EDGEBOXES_HPP__
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#include <opencv2/core.hpp>
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namespace cv
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{
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namespace ximgproc
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{
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//! @addtogroup ximgproc_edgeboxes
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//! @{
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// bounding box data structures
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typedef struct
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{
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int x, y, w, h;
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float score;
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} Box;
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typedef std::vector<Box> Boxes;
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/** @brief Class implementing EdgeBoxes algorithm from @cite ZitnickECCV14edgeBoxes :
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*/
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class CV_EXPORTS_W EdgeBoxes : public Algorithm
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{
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public:
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/** @brief Returns array containing proposal boxes.
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@param edge_map edge image.
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@param orientation_map orientation map.
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@param boxes proposal boxes.
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*/
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CV_WRAP virtual void getBoundingBoxes(InputArray edge_map, InputArray orientation_map, CV_OUT std::vector<Rect> &boxes) = 0;
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/** @brief Returns the step size of sliding window search.
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*/
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CV_WRAP virtual float getAlpha() const = 0;
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/** @brief Sets the step size of sliding window search.
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*/
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CV_WRAP virtual void setAlpha(float value) = 0;
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/** @brief Returns the nms threshold for object proposals.
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*/
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CV_WRAP virtual float getBeta() const = 0;
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/** @brief Sets the nms threshold for object proposals.
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*/
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CV_WRAP virtual void setBeta(float value) = 0;
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/** @brief Returns adaptation rate for nms threshold.
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*/
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CV_WRAP virtual float getEta() const = 0;
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/** @brief Sets the adaptation rate for nms threshold.
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*/
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CV_WRAP virtual void setEta(float value) = 0;
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/** @brief Returns the min score of boxes to detect.
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*/
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CV_WRAP virtual float getMinScore() const = 0;
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/** @brief Sets the min score of boxes to detect.
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*/
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CV_WRAP virtual void setMinScore(float value) = 0;
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/** @brief Returns the max number of boxes to detect.
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*/
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CV_WRAP virtual int getMaxBoxes() const = 0;
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/** @brief Sets max number of boxes to detect.
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*/
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CV_WRAP virtual void setMaxBoxes(int value) = 0;
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/** @brief Returns the edge min magnitude.
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*/
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CV_WRAP virtual float getEdgeMinMag() const = 0;
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/** @brief Sets the edge min magnitude.
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*/
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CV_WRAP virtual void setEdgeMinMag(float value) = 0;
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/** @brief Returns the edge merge threshold.
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*/
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CV_WRAP virtual float getEdgeMergeThr() const = 0;
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/** @brief Sets the edge merge threshold.
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*/
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CV_WRAP virtual void setEdgeMergeThr(float value) = 0;
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/** @brief Returns the cluster min magnitude.
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*/
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CV_WRAP virtual float getClusterMinMag() const = 0;
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/** @brief Sets the cluster min magnitude.
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*/
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CV_WRAP virtual void setClusterMinMag(float value) = 0;
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/** @brief Returns the max aspect ratio of boxes.
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*/
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CV_WRAP virtual float getMaxAspectRatio() const = 0;
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/** @brief Sets the max aspect ratio of boxes.
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*/
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CV_WRAP virtual void setMaxAspectRatio(float value) = 0;
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/** @brief Returns the minimum area of boxes.
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*/
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CV_WRAP virtual float getMinBoxArea() const = 0;
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/** @brief Sets the minimum area of boxes.
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*/
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CV_WRAP virtual void setMinBoxArea(float value) = 0;
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/** @brief Returns the affinity sensitivity.
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*/
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CV_WRAP virtual float getGamma() const = 0;
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/** @brief Sets the affinity sensitivity
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*/
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CV_WRAP virtual void setGamma(float value) = 0;
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/** @brief Returns the scale sensitivity.
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*/
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CV_WRAP virtual float getKappa() const = 0;
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/** @brief Sets the scale sensitivity.
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*/
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CV_WRAP virtual void setKappa(float value) = 0;
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};
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/** @brief Creates a Edgeboxes
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@param alpha step size of sliding window search.
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@param beta nms threshold for object proposals.
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@param eta adaptation rate for nms threshold.
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@param minScore min score of boxes to detect.
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@param maxBoxes max number of boxes to detect.
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@param edgeMinMag edge min magnitude. Increase to trade off accuracy for speed.
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@param edgeMergeThr edge merge threshold. Increase to trade off accuracy for speed.
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@param clusterMinMag cluster min magnitude. Increase to trade off accuracy for speed.
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@param maxAspectRatio max aspect ratio of boxes.
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@param minBoxArea minimum area of boxes.
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@param gamma affinity sensitivity.
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@param kappa scale sensitivity.
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*/
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CV_EXPORTS_W Ptr<EdgeBoxes>
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createEdgeBoxes(float alpha=0.65f,
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float beta=0.75f,
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float eta=1,
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float minScore=0.01f,
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int maxBoxes=10000,
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float edgeMinMag=0.1f,
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float edgeMergeThr=0.5f,
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float clusterMinMag=0.5f,
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float maxAspectRatio=3,
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float minBoxArea=1000,
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float gamma=2,
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float kappa=1.5f);
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//! @}
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}
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}
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#endif /* __OPENCV_EDGEBOXES_HPP__ */
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