mirror of https://github.com/opencv/opencv.git
Vladislav Vinogradov
12 years ago
parent
e41aea0acf
commit
7544ddbfef
27 changed files with 796 additions and 312 deletions
@ -0,0 +1,9 @@ |
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if(ANDROID OR IOS) |
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ocv_module_disable(gpufeatures2d) |
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endif() |
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set(the_description "GPU-accelerated Feature Detection and Description") |
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ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4127 /wd4100 /wd4324 /wd4512 -Wundef -Wmissing-declarations -Wshadow -Wunused-parameter) |
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ocv_define_module(gpufeatures2d opencv_features2d opencv_gpufilters opencv_gpuimgproc) |
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**************************************************************** |
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gpufeatures2d. GPU-accelerated Feature Detection and Description |
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**************************************************************** |
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.. toctree:: |
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:maxdepth: 1 |
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feature_detection_and_description |
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/*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_GPUFEATURES2D_HPP__ |
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#define __OPENCV_GPUFEATURES2D_HPP__ |
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#ifndef __cplusplus |
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# error gpufeatures2d.hpp header must be compiled as C++ |
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#endif |
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#include "opencv2/core/gpumat.hpp" |
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#include "opencv2/gpufilters.hpp" |
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namespace cv { namespace gpu { |
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class CV_EXPORTS BFMatcher_GPU |
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{ |
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public: |
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explicit BFMatcher_GPU(int norm = cv::NORM_L2); |
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// Add descriptors to train descriptor collection
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void add(const std::vector<GpuMat>& descCollection); |
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// Get train descriptors collection
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const std::vector<GpuMat>& getTrainDescriptors() const; |
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// Clear train descriptors collection
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void clear(); |
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// Return true if there are not train descriptors in collection
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bool empty() const; |
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// Return true if the matcher supports mask in match methods
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bool isMaskSupported() const; |
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// Find one best match for each query descriptor
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void matchSingle(const GpuMat& query, const GpuMat& train, |
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GpuMat& trainIdx, GpuMat& distance, |
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const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null()); |
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// Download trainIdx and distance and convert it to CPU vector with DMatch
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static void matchDownload(const GpuMat& trainIdx, const GpuMat& distance, std::vector<DMatch>& matches); |
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// Convert trainIdx and distance to vector with DMatch
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static void matchConvert(const Mat& trainIdx, const Mat& distance, std::vector<DMatch>& matches); |
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// Find one best match for each query descriptor
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void match(const GpuMat& query, const GpuMat& train, std::vector<DMatch>& matches, const GpuMat& mask = GpuMat()); |
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// Make gpu collection of trains and masks in suitable format for matchCollection function
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void makeGpuCollection(GpuMat& trainCollection, GpuMat& maskCollection, const std::vector<GpuMat>& masks = std::vector<GpuMat>()); |
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// Find one best match from train collection for each query descriptor
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void matchCollection(const GpuMat& query, const GpuMat& trainCollection, |
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GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, |
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const GpuMat& masks = GpuMat(), Stream& stream = Stream::Null()); |
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// Download trainIdx, imgIdx and distance and convert it to vector with DMatch
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static void matchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, std::vector<DMatch>& matches); |
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// Convert trainIdx, imgIdx and distance to vector with DMatch
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static void matchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, std::vector<DMatch>& matches); |
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// Find one best match from train collection for each query descriptor.
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void match(const GpuMat& query, std::vector<DMatch>& matches, const std::vector<GpuMat>& masks = std::vector<GpuMat>()); |
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// Find k best matches for each query descriptor (in increasing order of distances)
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void knnMatchSingle(const GpuMat& query, const GpuMat& train, |
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GpuMat& trainIdx, GpuMat& distance, GpuMat& allDist, int k, |
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const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null()); |
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// Download trainIdx and distance and convert it to vector with DMatch
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// compactResult is used when mask is not empty. If compactResult is false matches
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// vector will have the same size as queryDescriptors rows. If compactResult is true
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// matches vector will not contain matches for fully masked out query descriptors.
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static void knnMatchDownload(const GpuMat& trainIdx, const GpuMat& distance, |
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std::vector< std::vector<DMatch> >& matches, bool compactResult = false); |
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// Convert trainIdx and distance to vector with DMatch
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static void knnMatchConvert(const Mat& trainIdx, const Mat& distance, |
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std::vector< std::vector<DMatch> >& matches, bool compactResult = false); |
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// Find k best matches for each query descriptor (in increasing order of distances).
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// compactResult is used when mask is not empty. If compactResult is false matches
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// vector will have the same size as queryDescriptors rows. If compactResult is true
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// matches vector will not contain matches for fully masked out query descriptors.
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void knnMatch(const GpuMat& query, const GpuMat& train, |
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std::vector< std::vector<DMatch> >& matches, int k, const GpuMat& mask = GpuMat(), |
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bool compactResult = false); |
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// Find k best matches from train collection for each query descriptor (in increasing order of distances)
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void knnMatch2Collection(const GpuMat& query, const GpuMat& trainCollection, |
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GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, |
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const GpuMat& maskCollection = GpuMat(), Stream& stream = Stream::Null()); |
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// Download trainIdx and distance and convert it to vector with DMatch
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// compactResult is used when mask is not empty. If compactResult is false matches
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// vector will have the same size as queryDescriptors rows. If compactResult is true
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// matches vector will not contain matches for fully masked out query descriptors.
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static void knnMatch2Download(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, |
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std::vector< std::vector<DMatch> >& matches, bool compactResult = false); |
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// Convert trainIdx and distance to vector with DMatch
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static void knnMatch2Convert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, |
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std::vector< std::vector<DMatch> >& matches, bool compactResult = false); |
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// Find k best matches for each query descriptor (in increasing order of distances).
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// compactResult is used when mask is not empty. If compactResult is false matches
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// vector will have the same size as queryDescriptors rows. If compactResult is true
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// matches vector will not contain matches for fully masked out query descriptors.
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void knnMatch(const GpuMat& query, std::vector< std::vector<DMatch> >& matches, int k, |
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const std::vector<GpuMat>& masks = std::vector<GpuMat>(), bool compactResult = false); |
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// Find best matches for each query descriptor which have distance less than maxDistance.
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// nMatches.at<int>(0, queryIdx) will contain matches count for queryIdx.
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// carefully nMatches can be greater than trainIdx.cols - it means that matcher didn't find all matches,
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// because it didn't have enough memory.
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// If trainIdx is empty, then trainIdx and distance will be created with size nQuery x max((nTrain / 100), 10),
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// otherwize user can pass own allocated trainIdx and distance with size nQuery x nMaxMatches
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// Matches doesn't sorted.
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void radiusMatchSingle(const GpuMat& query, const GpuMat& train, |
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GpuMat& trainIdx, GpuMat& distance, GpuMat& nMatches, float maxDistance, |
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const GpuMat& mask = GpuMat(), Stream& stream = Stream::Null()); |
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// Download trainIdx, nMatches and distance and convert it to vector with DMatch.
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// matches will be sorted in increasing order of distances.
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// compactResult is used when mask is not empty. If compactResult is false matches
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// vector will have the same size as queryDescriptors rows. If compactResult is true
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// matches vector will not contain matches for fully masked out query descriptors.
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static void radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& distance, const GpuMat& nMatches, |
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std::vector< std::vector<DMatch> >& matches, bool compactResult = false); |
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// Convert trainIdx, nMatches and distance to vector with DMatch.
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static void radiusMatchConvert(const Mat& trainIdx, const Mat& distance, const Mat& nMatches, |
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std::vector< std::vector<DMatch> >& matches, bool compactResult = false); |
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// Find best matches for each query descriptor which have distance less than maxDistance
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// in increasing order of distances).
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void radiusMatch(const GpuMat& query, const GpuMat& train, |
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std::vector< std::vector<DMatch> >& matches, float maxDistance, |
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const GpuMat& mask = GpuMat(), bool compactResult = false); |
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// Find best matches for each query descriptor which have distance less than maxDistance.
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// If trainIdx is empty, then trainIdx and distance will be created with size nQuery x max((nQuery / 100), 10),
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// otherwize user can pass own allocated trainIdx and distance with size nQuery x nMaxMatches
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// Matches doesn't sorted.
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void radiusMatchCollection(const GpuMat& query, GpuMat& trainIdx, GpuMat& imgIdx, GpuMat& distance, GpuMat& nMatches, float maxDistance, |
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const std::vector<GpuMat>& masks = std::vector<GpuMat>(), Stream& stream = Stream::Null()); |
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// Download trainIdx, imgIdx, nMatches and distance and convert it to vector with DMatch.
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// matches will be sorted in increasing order of distances.
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// compactResult is used when mask is not empty. If compactResult is false matches
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// vector will have the same size as queryDescriptors rows. If compactResult is true
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// matches vector will not contain matches for fully masked out query descriptors.
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static void radiusMatchDownload(const GpuMat& trainIdx, const GpuMat& imgIdx, const GpuMat& distance, const GpuMat& nMatches, |
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std::vector< std::vector<DMatch> >& matches, bool compactResult = false); |
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// Convert trainIdx, nMatches and distance to vector with DMatch.
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static void radiusMatchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, const Mat& nMatches, |
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std::vector< std::vector<DMatch> >& matches, bool compactResult = false); |
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// Find best matches from train collection for each query descriptor which have distance less than
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// maxDistance (in increasing order of distances).
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void radiusMatch(const GpuMat& query, std::vector< std::vector<DMatch> >& matches, float maxDistance, |
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const std::vector<GpuMat>& masks = std::vector<GpuMat>(), bool compactResult = false); |
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int norm; |
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private: |
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std::vector<GpuMat> trainDescCollection; |
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}; |
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class CV_EXPORTS FAST_GPU |
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{ |
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public: |
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enum
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{ |
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LOCATION_ROW = 0, |
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RESPONSE_ROW, |
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ROWS_COUNT |
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}; |
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// all features have same size
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static const int FEATURE_SIZE = 7; |
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explicit FAST_GPU(int threshold, bool nonmaxSupression = true, double keypointsRatio = 0.05); |
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//! finds the keypoints using FAST detector
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//! supports only CV_8UC1 images
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void operator ()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints); |
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void operator ()(const GpuMat& image, const GpuMat& mask, std::vector<KeyPoint>& keypoints); |
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//! download keypoints from device to host memory
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static void downloadKeypoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints); |
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//! convert keypoints to KeyPoint vector
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static void convertKeypoints(const Mat& h_keypoints, std::vector<KeyPoint>& keypoints); |
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//! release temporary buffer's memory
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void release(); |
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bool nonmaxSupression; |
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int threshold; |
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//! max keypoints = keypointsRatio * img.size().area()
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double keypointsRatio; |
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//! find keypoints and compute it's response if nonmaxSupression is true
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//! return count of detected keypoints
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int calcKeyPointsLocation(const GpuMat& image, const GpuMat& mask); |
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//! get final array of keypoints
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//! performs nonmax supression if needed
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//! return final count of keypoints
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int getKeyPoints(GpuMat& keypoints); |
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private: |
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GpuMat kpLoc_; |
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int count_; |
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GpuMat score_; |
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GpuMat d_keypoints_; |
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}; |
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class CV_EXPORTS ORB_GPU |
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{ |
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public: |
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enum
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{ |
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X_ROW = 0, |
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Y_ROW, |
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RESPONSE_ROW, |
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ANGLE_ROW, |
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OCTAVE_ROW, |
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SIZE_ROW, |
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ROWS_COUNT |
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}; |
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enum
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{ |
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DEFAULT_FAST_THRESHOLD = 20 |
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}; |
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//! Constructor
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explicit ORB_GPU(int nFeatures = 500, float scaleFactor = 1.2f, int nLevels = 8, int edgeThreshold = 31, |
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int firstLevel = 0, int WTA_K = 2, int scoreType = 0, int patchSize = 31); |
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//! Compute the ORB features on an image
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//! image - the image to compute the features (supports only CV_8UC1 images)
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//! mask - the mask to apply
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//! keypoints - the resulting keypoints
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void operator()(const GpuMat& image, const GpuMat& mask, std::vector<KeyPoint>& keypoints); |
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void operator()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints); |
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//! Compute the ORB features and descriptors on an image
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//! image - the image to compute the features (supports only CV_8UC1 images)
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//! mask - the mask to apply
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//! keypoints - the resulting keypoints
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//! descriptors - descriptors array
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void operator()(const GpuMat& image, const GpuMat& mask, std::vector<KeyPoint>& keypoints, GpuMat& descriptors); |
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void operator()(const GpuMat& image, const GpuMat& mask, GpuMat& keypoints, GpuMat& descriptors); |
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//! download keypoints from device to host memory
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static void downloadKeyPoints(const GpuMat& d_keypoints, std::vector<KeyPoint>& keypoints); |
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//! convert keypoints to KeyPoint vector
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static void convertKeyPoints(const Mat& d_keypoints, std::vector<KeyPoint>& keypoints); |
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//! returns the descriptor size in bytes
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inline int descriptorSize() const { return kBytes; } |
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inline void setFastParams(int threshold, bool nonmaxSupression = true) |
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{ |
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fastDetector_.threshold = threshold; |
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fastDetector_.nonmaxSupression = nonmaxSupression; |
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} |
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//! release temporary buffer's memory
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void release(); |
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//! if true, image will be blurred before descriptors calculation
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bool blurForDescriptor; |
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private: |
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enum { kBytes = 32 }; |
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void buildScalePyramids(const GpuMat& image, const GpuMat& mask); |
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void computeKeyPointsPyramid(); |
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void computeDescriptors(GpuMat& descriptors); |
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void mergeKeyPoints(GpuMat& keypoints); |
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int nFeatures_; |
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float scaleFactor_; |
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int nLevels_; |
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int edgeThreshold_; |
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int firstLevel_; |
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int WTA_K_; |
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int scoreType_; |
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int patchSize_; |
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// The number of desired features per scale
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std::vector<size_t> n_features_per_level_; |
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// Points to compute BRIEF descriptors from
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GpuMat pattern_; |
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std::vector<GpuMat> imagePyr_; |
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std::vector<GpuMat> maskPyr_; |
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GpuMat buf_; |
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std::vector<GpuMat> keyPointsPyr_; |
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std::vector<int> keyPointsCount_; |
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FAST_GPU fastDetector_; |
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Ptr<FilterEngine_GPU> blurFilter; |
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GpuMat d_keypoints_; |
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}; |
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}} // namespace cv { namespace gpu {
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#endif /* __OPENCV_GPUFEATURES2D_HPP__ */ |
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@ -0,0 +1,47 @@ |
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/*M///////////////////////////////////////////////////////////////////////////////////////
|
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//
|
||||
// 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, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// 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.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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.
|
||||
//
|
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//M*/
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#include "perf_precomp.hpp" |
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using namespace perf; |
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CV_PERF_TEST_MAIN(gpufeatures2d, printCudaInfo()) |
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@ -0,0 +1,43 @@ |
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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, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// 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.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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*/
|
||||
|
||||
#include "perf_precomp.hpp" |
||||
@ -0,0 +1,64 @@ |
||||
/*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, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// 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.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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*/
|
||||
|
||||
#ifdef __GNUC__ |
||||
# pragma GCC diagnostic ignored "-Wmissing-declarations" |
||||
# if defined __clang__ || defined __APPLE__ |
||||
# pragma GCC diagnostic ignored "-Wmissing-prototypes" |
||||
# pragma GCC diagnostic ignored "-Wextra" |
||||
# endif |
||||
#endif |
||||
|
||||
#ifndef __OPENCV_PERF_PRECOMP_HPP__ |
||||
#define __OPENCV_PERF_PRECOMP_HPP__ |
||||
|
||||
#include "opencv2/ts.hpp" |
||||
#include "opencv2/ts/gpu_perf.hpp" |
||||
|
||||
#include "opencv2/gpufeatures2d.hpp" |
||||
#include "opencv2/features2d.hpp" |
||||
|
||||
#ifdef GTEST_CREATE_SHARED_LIBRARY |
||||
#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined |
||||
#endif |
||||
|
||||
#endif |
||||
@ -0,0 +1,43 @@ |
||||
/*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, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// 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.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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*/
|
||||
|
||||
#include "precomp.hpp" |
||||
@ -0,0 +1,58 @@ |
||||
/*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, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// 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.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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_PRECOMP_H__ |
||||
#define __OPENCV_PRECOMP_H__ |
||||
|
||||
#include <algorithm> |
||||
#include <functional> |
||||
#include <iterator> |
||||
|
||||
#include "opencv2/gpufeatures2d.hpp" |
||||
#include "opencv2/gpuarithm.hpp" |
||||
#include "opencv2/gpuimgproc.hpp" |
||||
|
||||
#include "opencv2/features2d.hpp" |
||||
|
||||
#include "opencv2/core/gpu_private.hpp" |
||||
|
||||
#endif /* __OPENCV_PRECOMP_H__ */ |
||||
@ -0,0 +1,45 @@ |
||||
/*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, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// 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.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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*/
|
||||
|
||||
#include "test_precomp.hpp" |
||||
|
||||
CV_GPU_TEST_MAIN("gpu") |
||||
@ -0,0 +1,43 @@ |
||||
/*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, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// 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.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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*/
|
||||
|
||||
#include "test_precomp.hpp" |
||||
@ -0,0 +1,60 @@ |
||||
/*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, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// 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.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (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*/
|
||||
|
||||
#ifdef __GNUC__ |
||||
# pragma GCC diagnostic ignored "-Wmissing-declarations" |
||||
# if defined __clang__ || defined __APPLE__ |
||||
# pragma GCC diagnostic ignored "-Wmissing-prototypes" |
||||
# pragma GCC diagnostic ignored "-Wextra" |
||||
# endif |
||||
#endif |
||||
|
||||
#ifndef __OPENCV_TEST_PRECOMP_HPP__ |
||||
#define __OPENCV_TEST_PRECOMP_HPP__ |
||||
|
||||
#include "opencv2/ts.hpp" |
||||
#include "opencv2/ts/gpu_test.hpp" |
||||
|
||||
#include "opencv2/gpufeatures2d.hpp" |
||||
#include "opencv2/features2d.hpp" |
||||
|
||||
#endif |
||||
Loading…
Reference in new issue