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127 lines
5.2 KiB
C++
127 lines
5.2 KiB
C++
/*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_CUDA_HPP__
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#define __OPENCV_NONFREE_CUDA_HPP__
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#include "opencv2/core/cuda.hpp"
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namespace cv { namespace cuda {
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class CV_EXPORTS SURF_CUDA
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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_CUDA();
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//! the full constructor taking all the necessary parameters
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explicit SURF_CUDA(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 cv { namespace cuda {
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#endif // __OPENCV_NONFREE_CUDA_HPP__
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