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Open Source Computer Vision Library
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134 lines
5.3 KiB
134 lines
5.3 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#ifndef __OPENCV_NONFREE_GPU_HPP__ |
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#define __OPENCV_NONFREE_GPU_HPP__ |
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#include "opencv2/opencv_modules.hpp" |
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#if defined(HAVE_OPENCV_GPU) |
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#include "opencv2/gpu/gpu.hpp" |
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namespace cv { namespace gpu { |
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class CV_EXPORTS SURF_GPU |
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{ |
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public: |
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enum KeypointLayout |
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{ |
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X_ROW = 0, |
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Y_ROW, |
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LAPLACIAN_ROW, |
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OCTAVE_ROW, |
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SIZE_ROW, |
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ANGLE_ROW, |
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HESSIAN_ROW, |
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ROWS_COUNT |
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}; |
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//! the default constructor |
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SURF_GPU(); |
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//! the full constructor taking all the necessary parameters |
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explicit SURF_GPU(double _hessianThreshold, int _nOctaves=4, |
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int _nOctaveLayers=2, bool _extended=false, float _keypointsRatio=0.01f, bool _upright = false); |
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//! returns the descriptor size in float's (64 or 128) |
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int descriptorSize() const; |
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//! upload host keypoints to device memory |
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void uploadKeypoints(const std::vector<KeyPoint>& keypoints, GpuMat& keypointsGPU); |
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//! download keypoints from device to host memory |
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void downloadKeypoints(const GpuMat& keypointsGPU, std::vector<KeyPoint>& keypoints); |
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//! download descriptors from device to host memory |
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void downloadDescriptors(const GpuMat& descriptorsGPU, std::vector<float>& descriptors); |
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//! finds the keypoints using fast hessian detector used in SURF |
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//! supports CV_8UC1 images |
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//! keypoints will have nFeature cols and 6 rows |
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//! keypoints.ptr<float>(X_ROW)[i] will contain x coordinate of i'th feature |
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//! keypoints.ptr<float>(Y_ROW)[i] will contain y coordinate of i'th feature |
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//! keypoints.ptr<float>(LAPLACIAN_ROW)[i] will contain laplacian sign of i'th feature |
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//! keypoints.ptr<float>(OCTAVE_ROW)[i] will contain octave of i'th feature |
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//! keypoints.ptr<float>(SIZE_ROW)[i] will contain size of i'th feature |
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//! keypoints.ptr<float>(ANGLE_ROW)[i] will contain orientation of i'th feature |
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//! keypoints.ptr<float>(HESSIAN_ROW)[i] will contain response of i'th feature |
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void operator()(const GpuMat& img, const GpuMat& mask, GpuMat& keypoints); |
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//! finds the keypoints and computes their descriptors. |
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//! Optionally it can compute descriptors for the user-provided keypoints and recompute keypoints direction |
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void operator()(const GpuMat& img, const GpuMat& mask, GpuMat& keypoints, GpuMat& descriptors, |
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bool useProvidedKeypoints = false); |
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void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints); |
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void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints, GpuMat& descriptors, |
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bool useProvidedKeypoints = false); |
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void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints, std::vector<float>& descriptors, |
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bool useProvidedKeypoints = false); |
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void releaseMemory(); |
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// SURF parameters |
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double hessianThreshold; |
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int nOctaves; |
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int nOctaveLayers; |
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bool extended; |
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bool upright; |
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//! max keypoints = min(keypointsRatio * img.size().area(), 65535) |
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float keypointsRatio; |
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GpuMat sum, mask1, maskSum, intBuffer; |
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GpuMat det, trace; |
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GpuMat maxPosBuffer; |
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}; |
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} // namespace gpu |
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} // namespace cv |
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#endif // defined(HAVE_OPENCV_GPU) |
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#endif // __OPENCV_NONFREE_GPU_HPP__
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