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| 1 | +/*M/////////////////////////////////////////////////////////////////////////////////////// |
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| 6 | +// If you do not agree to this license, do not download, install, |
| 7 | +// copy or use the software. |
| 8 | +// |
| 9 | +// |
| 10 | +// License Agreement |
| 11 | +// For Open Source Computer Vision Library |
| 12 | +// |
| 13 | +// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
| 14 | +// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved. |
| 15 | +// Third party copyrights are property of their respective owners. |
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| 18 | +// are permitted provided that the following conditions are met: |
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| 24 | +// this list of conditions and the following disclaimer in the documentation |
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| 27 | +// * The name of the copyright holders may not be used to endorse or promote products |
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| 39 | +// the use of this software, even if advised of the possibility of such damage. |
| 40 | +// |
| 41 | +//M*/ |
| 42 | + |
| 43 | +#ifndef __OPENCV_EDGEBOXES_HPP__ |
| 44 | +#define __OPENCV_EDGEBOXES_HPP__ |
| 45 | + |
| 46 | +#include <opencv2/core.hpp> |
| 47 | + |
| 48 | +namespace cv |
| 49 | +{ |
| 50 | +namespace ximgproc |
| 51 | +{ |
| 52 | + |
| 53 | +//! @addtogroup ximgproc_edgeboxes |
| 54 | +//! @{ |
| 55 | + |
| 56 | +// bounding box data structures |
| 57 | +typedef struct |
| 58 | +{ |
| 59 | + int x, y, w, h; |
| 60 | + float score; |
| 61 | +} Box; |
| 62 | + |
| 63 | +typedef std::vector<Box> Boxes; |
| 64 | + |
| 65 | +/** @brief Class implementing EdgeBoxes algorithm from @cite ZitnickECCV14edgeBoxes : |
| 66 | + */ |
| 67 | +class CV_EXPORTS_W EdgeBoxes : public Algorithm |
| 68 | +{ |
| 69 | + |
| 70 | +public: |
| 71 | + |
| 72 | + /** @brief Returns array containing proposal boxes. |
| 73 | +
|
| 74 | + @param edge_map edge image. |
| 75 | + @param orientation_map orientation map. |
| 76 | + @param boxes proposal boxes. |
| 77 | + */ |
| 78 | + CV_WRAP virtual void getBoundingBoxes(InputArray edge_map, InputArray orientation_map, CV_OUT std::vector<Rect> &boxes) = 0; |
| 79 | + |
| 80 | + /** @brief Returns the step size of sliding window search. |
| 81 | + */ |
| 82 | + CV_WRAP virtual float getAlpha() const = 0; |
| 83 | + /** @brief Sets the step size of sliding window search. |
| 84 | + */ |
| 85 | + CV_WRAP virtual void setAlpha(float value) = 0; |
| 86 | + |
| 87 | + /** @brief Returns the nms threshold for object proposals. |
| 88 | + */ |
| 89 | + CV_WRAP virtual float getBeta() const = 0; |
| 90 | + /** @brief Sets the nms threshold for object proposals. |
| 91 | + */ |
| 92 | + CV_WRAP virtual void setBeta(float value) = 0; |
| 93 | + |
| 94 | + /** @brief Returns adaptation rate for nms threshold. |
| 95 | + */ |
| 96 | + CV_WRAP virtual float getEta() const = 0; |
| 97 | + /** @brief Sets the adaptation rate for nms threshold. |
| 98 | + */ |
| 99 | + CV_WRAP virtual void setEta(float value) = 0; |
| 100 | + |
| 101 | + /** @brief Returns the min score of boxes to detect. |
| 102 | + */ |
| 103 | + CV_WRAP virtual float getMinScore() const = 0; |
| 104 | + /** @brief Sets the min score of boxes to detect. |
| 105 | + */ |
| 106 | + CV_WRAP virtual void setMinScore(float value) = 0; |
| 107 | + |
| 108 | + /** @brief Returns the max number of boxes to detect. |
| 109 | + */ |
| 110 | + CV_WRAP virtual int getMaxBoxes() const = 0; |
| 111 | + /** @brief Sets max number of boxes to detect. |
| 112 | + */ |
| 113 | + CV_WRAP virtual void setMaxBoxes(int value) = 0; |
| 114 | + |
| 115 | + /** @brief Returns the edge min magnitude. |
| 116 | + */ |
| 117 | + CV_WRAP virtual float getEdgeMinMag() const = 0; |
| 118 | + /** @brief Sets the edge min magnitude. |
| 119 | + */ |
| 120 | + CV_WRAP virtual void setEdgeMinMag(float value) = 0; |
| 121 | + |
| 122 | + /** @brief Returns the edge merge threshold. |
| 123 | + */ |
| 124 | + CV_WRAP virtual float getEdgeMergeThr() const = 0; |
| 125 | + /** @brief Sets the edge merge threshold. |
| 126 | + */ |
| 127 | + CV_WRAP virtual void setEdgeMergeThr(float value) = 0; |
| 128 | + |
| 129 | + /** @brief Returns the cluster min magnitude. |
| 130 | + */ |
| 131 | + CV_WRAP virtual float getClusterMinMag() const = 0; |
| 132 | + /** @brief Sets the cluster min magnitude. |
| 133 | + */ |
| 134 | + CV_WRAP virtual void setClusterMinMag(float value) = 0; |
| 135 | + |
| 136 | + /** @brief Returns the max aspect ratio of boxes. |
| 137 | + */ |
| 138 | + CV_WRAP virtual float getMaxAspectRatio() const = 0; |
| 139 | + /** @brief Sets the max aspect ratio of boxes. |
| 140 | + */ |
| 141 | + CV_WRAP virtual void setMaxAspectRatio(float value) = 0; |
| 142 | + |
| 143 | + /** @brief Returns the minimum area of boxes. |
| 144 | + */ |
| 145 | + CV_WRAP virtual float getMinBoxArea() const = 0; |
| 146 | + /** @brief Sets the minimum area of boxes. |
| 147 | + */ |
| 148 | + CV_WRAP virtual void setMinBoxArea(float value) = 0; |
| 149 | + |
| 150 | + /** @brief Returns the affinity sensitivity. |
| 151 | + */ |
| 152 | + CV_WRAP virtual float getGamma() const = 0; |
| 153 | + /** @brief Sets the affinity sensitivity |
| 154 | + */ |
| 155 | + CV_WRAP virtual void setGamma(float value) = 0; |
| 156 | + |
| 157 | + /** @brief Returns the scale sensitivity. |
| 158 | + */ |
| 159 | + CV_WRAP virtual float getKappa() const = 0; |
| 160 | + /** @brief Sets the scale sensitivity. |
| 161 | + */ |
| 162 | + CV_WRAP virtual void setKappa(float value) = 0; |
| 163 | + |
| 164 | +}; |
| 165 | + |
| 166 | +/** @brief Creates a Edgeboxes |
| 167 | +
|
| 168 | +@param alpha step size of sliding window search. |
| 169 | +@param beta nms threshold for object proposals. |
| 170 | +@param eta adaptation rate for nms threshold. |
| 171 | +@param minScore min score of boxes to detect. |
| 172 | +@param maxBoxes max number of boxes to detect. |
| 173 | +@param edgeMinMag edge min magnitude. Increase to trade off accuracy for speed. |
| 174 | +@param edgeMergeThr edge merge threshold. Increase to trade off accuracy for speed. |
| 175 | +@param clusterMinMag cluster min magnitude. Increase to trade off accuracy for speed. |
| 176 | +@param maxAspectRatio max aspect ratio of boxes. |
| 177 | +@param minBoxArea minimum area of boxes. |
| 178 | +@param gamma affinity sensitivity. |
| 179 | +@param kappa scale sensitivity. |
| 180 | +*/ |
| 181 | +CV_EXPORTS_W Ptr<EdgeBoxes> |
| 182 | +createEdgeBoxes(float alpha=0.65f, |
| 183 | + float beta=0.75f, |
| 184 | + float eta=1, |
| 185 | + float minScore=0.01f, |
| 186 | + int maxBoxes=10000, |
| 187 | + float edgeMinMag=0.1f, |
| 188 | + float edgeMergeThr=0.5f, |
| 189 | + float clusterMinMag=0.5f, |
| 190 | + float maxAspectRatio=3, |
| 191 | + float minBoxArea=1000, |
| 192 | + float gamma=2, |
| 193 | + float kappa=1.5f); |
| 194 | + |
| 195 | +//! @} |
| 196 | + |
| 197 | +} |
| 198 | +} |
| 199 | + |
| 200 | +#endif /* __OPENCV_EDGEBOXES_HPP__ */ |
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