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- /*M///////////////////////////////////////////////////////////////////////////////////////
- //
- // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
- //
- // By downloading, copying, installing or using the software you agree to this license.
- // If you do not agree to this license, do not download, install,
- // copy or use the software.
- //
- //
- // License Agreement
- // For Open Source Computer Vision Library
- //
- // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
- // Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
- // Third party copyrights are property of their respective owners.
- //
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- // are permitted provided that the following conditions are met:
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- // this list of conditions and the following disclaimer.
- //
- // * Redistribution's in binary form must reproduce the above copyright notice,
- // this list of conditions and the following disclaimer in the documentation
- // and/or other materials provided with the distribution.
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- // (including, but not limited to, procurement of substitute goods or services;
- // loss of use, data, or profits; or business interruption) however caused
- // and on any theory of liability, whether in contract, strict liability,
- // or tort (including negligence or otherwise) arising in any way out of
- // the use of this software, even if advised of the possibility of such damage.
- //
- //M*/
- #ifndef __OPENCV_EDGEBOXES_HPP__
- #define __OPENCV_EDGEBOXES_HPP__
- #include <opencv2/core.hpp>
- namespace cv
- {
- namespace ximgproc
- {
- //! @addtogroup ximgproc_edgeboxes
- //! @{
- // bounding box data structures
- typedef struct
- {
- int x, y, w, h;
- float score;
- } Box;
- typedef std::vector<Box> Boxes;
- /** @brief Class implementing EdgeBoxes algorithm from @cite ZitnickECCV14edgeBoxes :
- */
- class CV_EXPORTS_W EdgeBoxes : public Algorithm
- {
- public:
- /** @brief Returns array containing proposal boxes.
- @param edge_map edge image.
- @param orientation_map orientation map.
- @param boxes proposal boxes.
- */
- CV_WRAP virtual void getBoundingBoxes(InputArray edge_map, InputArray orientation_map, CV_OUT std::vector<Rect> &boxes) = 0;
- /** @brief Returns the step size of sliding window search.
- */
- CV_WRAP virtual float getAlpha() const = 0;
- /** @brief Sets the step size of sliding window search.
- */
- CV_WRAP virtual void setAlpha(float value) = 0;
- /** @brief Returns the nms threshold for object proposals.
- */
- CV_WRAP virtual float getBeta() const = 0;
- /** @brief Sets the nms threshold for object proposals.
- */
- CV_WRAP virtual void setBeta(float value) = 0;
- /** @brief Returns adaptation rate for nms threshold.
- */
- CV_WRAP virtual float getEta() const = 0;
- /** @brief Sets the adaptation rate for nms threshold.
- */
- CV_WRAP virtual void setEta(float value) = 0;
- /** @brief Returns the min score of boxes to detect.
- */
- CV_WRAP virtual float getMinScore() const = 0;
- /** @brief Sets the min score of boxes to detect.
- */
- CV_WRAP virtual void setMinScore(float value) = 0;
- /** @brief Returns the max number of boxes to detect.
- */
- CV_WRAP virtual int getMaxBoxes() const = 0;
- /** @brief Sets max number of boxes to detect.
- */
- CV_WRAP virtual void setMaxBoxes(int value) = 0;
- /** @brief Returns the edge min magnitude.
- */
- CV_WRAP virtual float getEdgeMinMag() const = 0;
- /** @brief Sets the edge min magnitude.
- */
- CV_WRAP virtual void setEdgeMinMag(float value) = 0;
- /** @brief Returns the edge merge threshold.
- */
- CV_WRAP virtual float getEdgeMergeThr() const = 0;
- /** @brief Sets the edge merge threshold.
- */
- CV_WRAP virtual void setEdgeMergeThr(float value) = 0;
- /** @brief Returns the cluster min magnitude.
- */
- CV_WRAP virtual float getClusterMinMag() const = 0;
- /** @brief Sets the cluster min magnitude.
- */
- CV_WRAP virtual void setClusterMinMag(float value) = 0;
- /** @brief Returns the max aspect ratio of boxes.
- */
- CV_WRAP virtual float getMaxAspectRatio() const = 0;
- /** @brief Sets the max aspect ratio of boxes.
- */
- CV_WRAP virtual void setMaxAspectRatio(float value) = 0;
- /** @brief Returns the minimum area of boxes.
- */
- CV_WRAP virtual float getMinBoxArea() const = 0;
- /** @brief Sets the minimum area of boxes.
- */
- CV_WRAP virtual void setMinBoxArea(float value) = 0;
- /** @brief Returns the affinity sensitivity.
- */
- CV_WRAP virtual float getGamma() const = 0;
- /** @brief Sets the affinity sensitivity
- */
- CV_WRAP virtual void setGamma(float value) = 0;
- /** @brief Returns the scale sensitivity.
- */
- CV_WRAP virtual float getKappa() const = 0;
- /** @brief Sets the scale sensitivity.
- */
- CV_WRAP virtual void setKappa(float value) = 0;
- };
- /** @brief Creates a Edgeboxes
- @param alpha step size of sliding window search.
- @param beta nms threshold for object proposals.
- @param eta adaptation rate for nms threshold.
- @param minScore min score of boxes to detect.
- @param maxBoxes max number of boxes to detect.
- @param edgeMinMag edge min magnitude. Increase to trade off accuracy for speed.
- @param edgeMergeThr edge merge threshold. Increase to trade off accuracy for speed.
- @param clusterMinMag cluster min magnitude. Increase to trade off accuracy for speed.
- @param maxAspectRatio max aspect ratio of boxes.
- @param minBoxArea minimum area of boxes.
- @param gamma affinity sensitivity.
- @param kappa scale sensitivity.
- */
- CV_EXPORTS_W Ptr<EdgeBoxes>
- createEdgeBoxes(float alpha=0.65f,
- float beta=0.75f,
- float eta=1,
- float minScore=0.01f,
- int maxBoxes=10000,
- float edgeMinMag=0.1f,
- float edgeMergeThr=0.5f,
- float clusterMinMag=0.5f,
- float maxAspectRatio=3,
- float minBoxArea=1000,
- float gamma=2,
- float kappa=1.5f);
- //! @}
- }
- }
- #endif /* __OPENCV_EDGEBOXES_HPP__ */
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