merged gpunonfree and nonfree module

pull/656/head
Vladislav Vinogradov 12 years ago
parent 3b065e38be
commit 0a65f2f4af
  1. 31
      modules/gpunonfree/CMakeLists.txt
  2. 107
      modules/gpunonfree/doc/feature_detection_and_description.rst
  3. 9
      modules/gpunonfree/doc/gpunonfree.rst
  4. 5
      modules/gpunonfree/perf/perf_main.cpp
  5. 1
      modules/gpunonfree/perf/perf_precomp.cpp
  6. 31
      modules/gpunonfree/perf/perf_precomp.hpp
  7. 45
      modules/gpunonfree/src/precomp.cpp
  8. 71
      modules/gpunonfree/src/precomp.hpp
  9. 119
      modules/gpunonfree/test/test_main.cpp
  10. 42
      modules/gpunonfree/test/test_precomp.cpp
  11. 69
      modules/gpunonfree/test/test_precomp.hpp
  12. 26
      modules/nonfree/CMakeLists.txt
  13. 4
      modules/nonfree/doc/background_subtraction.rst
  14. 103
      modules/nonfree/doc/feature_detection.rst
  15. 1
      modules/nonfree/doc/nonfree.rst
  16. 14
      modules/nonfree/include/opencv2/nonfree/gpu.hpp
  17. 8
      modules/nonfree/perf/perf_gpu.cpp
  18. 2
      modules/nonfree/perf/perf_main.cpp
  19. 8
      modules/nonfree/perf/perf_precomp.hpp
  20. 0
      modules/nonfree/src/cuda/surf.cu
  21. 0
      modules/nonfree/src/cuda/vibe.cu
  22. 15
      modules/nonfree/src/precomp.hpp
  23. 11
      modules/nonfree/src/surf_gpu.cpp
  24. 4
      modules/nonfree/src/vibe_gpu.cpp
  25. 11
      modules/nonfree/test/test_gpu.cpp
  26. 70
      modules/nonfree/test/test_main.cpp
  27. 11
      modules/nonfree/test/test_precomp.hpp
  28. 2
      modules/stitching/CMakeLists.txt
  29. 7
      modules/stitching/include/opencv2/stitching/detail/matchers.hpp
  30. 2
      modules/stitching/src/matchers.cpp
  31. 9
      modules/stitching/src/precomp.hpp
  32. 2
      modules/stitching/src/stitcher.cpp
  33. 2
      modules/superres/src/btv_l1_gpu.cpp
  34. 7
      samples/cpp/CMakeLists.txt
  35. 2
      samples/cpp/stitching_detailed.cpp
  36. 8
      samples/gpu/CMakeLists.txt
  37. 18
      samples/gpu/bgfg_segm.cpp
  38. 4
      samples/gpu/performance/CMakeLists.txt
  39. 6
      samples/gpu/performance/tests.cpp
  40. 6
      samples/gpu/surf_keypoint_matcher.cpp

@ -1,31 +0,0 @@
if(ANDROID OR IOS)
ocv_module_disable(gpunonfree)
endif()
set(the_description "GPU-accelerated Computer Vision (non free)")
ocv_add_module(gpunonfree opencv_gpu opencv_nonfree)
ocv_module_include_directories()
if(HAVE_CUDA)
ocv_source_group("Src\\Cuda" GLOB "src/cuda/*.cu")
ocv_include_directories("${OpenCV_SOURCE_DIR}/modules/gpu/include" ${CUDA_INCLUDE_DIRS})
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef)
file(GLOB lib_cuda "src/cuda/*.cu")
ocv_cuda_compile(cuda_objs ${lib_cuda})
set(cuda_link_libs ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY})
else()
set(lib_cuda "")
set(cuda_objs "")
set(cuda_link_libs "")
endif()
ocv_glob_module_sources(SOURCES ${lib_cuda} ${cuda_objs})
ocv_create_module(${cuda_link_libs})
ocv_add_precompiled_headers(${the_module})
ocv_add_accuracy_tests()
ocv_add_perf_tests()

@ -1,107 +0,0 @@
Feature Detection and Description
=================================
.. highlight:: cpp
gpu::SURF_GPU
-------------
.. ocv:class:: gpu::SURF_GPU
Class used for extracting Speeded Up Robust Features (SURF) from an image. ::
class SURF_GPU
{
public:
enum KeypointLayout
{
X_ROW = 0,
Y_ROW,
LAPLACIAN_ROW,
OCTAVE_ROW,
SIZE_ROW,
ANGLE_ROW,
HESSIAN_ROW,
ROWS_COUNT
};
//! the default constructor
SURF_GPU();
//! the full constructor taking all the necessary parameters
explicit SURF_GPU(double _hessianThreshold, int _nOctaves=4,
int _nOctaveLayers=2, bool _extended=false, float _keypointsRatio=0.01f);
//! returns the descriptor size in float's (64 or 128)
int descriptorSize() const;
//! upload host keypoints to device memory
void uploadKeypoints(const vector<KeyPoint>& keypoints,
GpuMat& keypointsGPU);
//! download keypoints from device to host memory
void downloadKeypoints(const GpuMat& keypointsGPU,
vector<KeyPoint>& keypoints);
//! download descriptors from device to host memory
void downloadDescriptors(const GpuMat& descriptorsGPU,
vector<float>& descriptors);
void operator()(const GpuMat& img, const GpuMat& mask,
GpuMat& keypoints);
void operator()(const GpuMat& img, const GpuMat& mask,
GpuMat& keypoints, GpuMat& descriptors,
bool useProvidedKeypoints = false,
bool calcOrientation = true);
void operator()(const GpuMat& img, const GpuMat& mask,
std::vector<KeyPoint>& keypoints);
void operator()(const GpuMat& img, const GpuMat& mask,
std::vector<KeyPoint>& keypoints, GpuMat& descriptors,
bool useProvidedKeypoints = false,
bool calcOrientation = true);
void operator()(const GpuMat& img, const GpuMat& mask,
std::vector<KeyPoint>& keypoints,
std::vector<float>& descriptors,
bool useProvidedKeypoints = false,
bool calcOrientation = true);
void releaseMemory();
// SURF parameters
double hessianThreshold;
int nOctaves;
int nOctaveLayers;
bool extended;
bool upright;
//! max keypoints = keypointsRatio * img.size().area()
float keypointsRatio;
GpuMat sum, mask1, maskSum, intBuffer;
GpuMat det, trace;
GpuMat maxPosBuffer;
};
The class ``SURF_GPU`` implements Speeded Up Robust Features descriptor. There is a fast multi-scale Hessian keypoint detector that can be used to find the keypoints (which is the default option). But the descriptors can also be computed for the user-specified keypoints. Only 8-bit grayscale images are supported.
The class ``SURF_GPU`` can store results in the GPU and CPU memory. It provides functions to convert results between CPU and GPU version ( ``uploadKeypoints``, ``downloadKeypoints``, ``downloadDescriptors`` ). The format of CPU results is the same as ``SURF`` results. GPU results are stored in ``GpuMat``. The ``keypoints`` matrix is :math:`\texttt{nFeatures} \times 7` matrix with the ``CV_32FC1`` type.
* ``keypoints.ptr<float>(X_ROW)[i]`` contains x coordinate of the i-th feature.
* ``keypoints.ptr<float>(Y_ROW)[i]`` contains y coordinate of the i-th feature.
* ``keypoints.ptr<float>(LAPLACIAN_ROW)[i]`` contains the laplacian sign of the i-th feature.
* ``keypoints.ptr<float>(OCTAVE_ROW)[i]`` contains the octave of the i-th feature.
* ``keypoints.ptr<float>(SIZE_ROW)[i]`` contains the size of the i-th feature.
* ``keypoints.ptr<float>(ANGLE_ROW)[i]`` contain orientation of the i-th feature.
* ``keypoints.ptr<float>(HESSIAN_ROW)[i]`` contains the response of the i-th feature.
The ``descriptors`` matrix is :math:`\texttt{nFeatures} \times \texttt{descriptorSize}` matrix with the ``CV_32FC1`` type.
The class ``SURF_GPU`` uses some buffers and provides access to it. All buffers can be safely released between function calls.
.. seealso:: :ocv:class:`SURF`

@ -1,9 +0,0 @@
******************************************************
gpunonfree. GPU-accelerated Computer Vision (non free)
******************************************************
.. toctree::
:maxdepth: 1
feature_detection_and_description
video

@ -1,5 +0,0 @@
#include "perf_precomp.hpp"
using namespace perf;
CV_PERF_TEST_MAIN(gpunonfree, printCudaInfo())

@ -1 +0,0 @@
#include "perf_precomp.hpp"

@ -1,31 +0,0 @@
#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 <cstdio>
#include <iostream>
#include "cvconfig.h"
#include "opencv2/ts/ts.hpp"
#include "opencv2/ts/ts_perf.hpp"
#include "opencv2/ts/gpu_perf.hpp"
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/gpunonfree/gpunonfree.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#ifdef GTEST_CREATE_SHARED_LIBRARY
#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined
#endif
#endif

@ -1,45 +0,0 @@
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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"
/* End of file. */

@ -1,71 +0,0 @@
/*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__
#if defined _MSC_VER && _MSC_VER >= 1200
#pragma warning( disable: 4251 4710 4711 4514 4996 )
#endif
#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif
#include <vector>
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/gpunonfree/gpunonfree.hpp"
#ifdef HAVE_CUDA
#include "opencv2/gpu/stream_accessor.hpp"
#include "opencv2/gpu/device/common.hpp"
static inline void throw_nogpu() { CV_Error(CV_StsNotImplemented, "The called functionality is disabled for current build or platform"); }
#else /* defined(HAVE_CUDA) */
static inline void throw_nogpu() { CV_Error(CV_GpuNotSupported, "The library is compiled without GPU support"); }
#endif /* defined(HAVE_CUDA) */
#endif /* __OPENCV_PRECOMP_H__ */

@ -1,119 +0,0 @@
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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"
#ifdef HAVE_CUDA
using namespace std;
using namespace cv;
using namespace cv::gpu;
using namespace cvtest;
using namespace testing;
int main(int argc, char** argv)
{
try
{
const char* keys =
"{ h | help ? | false | Print help}"
"{ i | info | false | Print information about system and exit }"
"{ d | device | -1 | Device on which tests will be executed (-1 means all devices) }"
;
CommandLineParser cmd(argc, (const char**)argv, keys);
if (cmd.get<bool>("help"))
{
cmd.printParams();
return 0;
}
printCudaInfo();
if (cmd.get<bool>("info"))
{
return 0;
}
int device = cmd.get<int>("device");
if (device < 0)
{
DeviceManager::instance().loadAll();
cout << "Run tests on all supported devices \n" << endl;
}
else
{
DeviceManager::instance().load(device);
DeviceInfo info(device);
cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl;
}
TS::ptr()->init("gpu");
InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
catch (const exception& e)
{
cerr << e.what() << endl;
return -1;
}
catch (...)
{
cerr << "Unknown error" << endl;
return -1;
}
return 0;
}
#else // HAVE_CUDA
int main()
{
std::cerr << "OpenCV was built without CUDA support" << std::endl;
return 0;
}
#endif // HAVE_CUDA

@ -1,42 +0,0 @@
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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"

@ -1,69 +0,0 @@
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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 "cvconfig.h"
#include <iostream>
#ifdef HAVE_CUDA
#include "opencv2/ts/ts.hpp"
#include "opencv2/ts/ts_perf.hpp"
#include "opencv2/ts/gpu_test.hpp"
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/gpunonfree/gpunonfree.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#endif
#endif

@ -3,4 +3,28 @@ if(BUILD_ANDROID_PACKAGE)
endif()
set(the_description "Functionality with possible limitations on the use")
ocv_define_module(nonfree opencv_imgproc opencv_features2d opencv_calib3d)
ocv_add_module(nonfree opencv_imgproc opencv_features2d opencv_calib3d OPTIONAL opencv_gpu)
ocv_module_include_directories()
if(HAVE_CUDA AND HAVE_opencv_gpu)
ocv_source_group("Src\\Cuda" GLOB "src/cuda/*.cu")
ocv_include_directories("${OpenCV_SOURCE_DIR}/modules/gpu/include" ${CUDA_INCLUDE_DIRS})
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef)
file(GLOB lib_cuda "src/cuda/*.cu")
ocv_cuda_compile(cuda_objs ${lib_cuda})
set(cuda_link_libs ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY})
else()
set(lib_cuda "")
set(cuda_objs "")
set(cuda_link_libs "")
endif()
ocv_glob_module_sources(SOURCES ${lib_cuda} ${cuda_objs})
ocv_create_module(${cuda_link_libs})
ocv_add_precompiled_headers(${the_module})
ocv_add_accuracy_tests()
ocv_add_perf_tests()

@ -1,5 +1,5 @@
Video Analysis
==============
Background Subtraction
======================
.. highlight:: cpp

@ -127,3 +127,106 @@ Detects keypoints and computes SURF descriptors for them.
The function is parallelized with the TBB library.
If you are using the C version, make sure you call ``cv::initModule_nonfree()`` from ``nonfree/nonfree.hpp``.
gpu::SURF_GPU
-------------
.. ocv:class:: gpu::SURF_GPU
Class used for extracting Speeded Up Robust Features (SURF) from an image. ::
class SURF_GPU
{
public:
enum KeypointLayout
{
X_ROW = 0,
Y_ROW,
LAPLACIAN_ROW,
OCTAVE_ROW,
SIZE_ROW,
ANGLE_ROW,
HESSIAN_ROW,
ROWS_COUNT
};
//! the default constructor
SURF_GPU();
//! the full constructor taking all the necessary parameters
explicit SURF_GPU(double _hessianThreshold, int _nOctaves=4,
int _nOctaveLayers=2, bool _extended=false, float _keypointsRatio=0.01f);
//! returns the descriptor size in float's (64 or 128)
int descriptorSize() const;
//! upload host keypoints to device memory
void uploadKeypoints(const vector<KeyPoint>& keypoints,
GpuMat& keypointsGPU);
//! download keypoints from device to host memory
void downloadKeypoints(const GpuMat& keypointsGPU,
vector<KeyPoint>& keypoints);
//! download descriptors from device to host memory
void downloadDescriptors(const GpuMat& descriptorsGPU,
vector<float>& descriptors);
void operator()(const GpuMat& img, const GpuMat& mask,
GpuMat& keypoints);
void operator()(const GpuMat& img, const GpuMat& mask,
GpuMat& keypoints, GpuMat& descriptors,
bool useProvidedKeypoints = false,
bool calcOrientation = true);
void operator()(const GpuMat& img, const GpuMat& mask,
std::vector<KeyPoint>& keypoints);
void operator()(const GpuMat& img, const GpuMat& mask,
std::vector<KeyPoint>& keypoints, GpuMat& descriptors,
bool useProvidedKeypoints = false,
bool calcOrientation = true);
void operator()(const GpuMat& img, const GpuMat& mask,
std::vector<KeyPoint>& keypoints,
std::vector<float>& descriptors,
bool useProvidedKeypoints = false,
bool calcOrientation = true);
void releaseMemory();
// SURF parameters
double hessianThreshold;
int nOctaves;
int nOctaveLayers;
bool extended;
bool upright;
//! max keypoints = keypointsRatio * img.size().area()
float keypointsRatio;
GpuMat sum, mask1, maskSum, intBuffer;
GpuMat det, trace;
GpuMat maxPosBuffer;
};
The class ``SURF_GPU`` implements Speeded Up Robust Features descriptor. There is a fast multi-scale Hessian keypoint detector that can be used to find the keypoints (which is the default option). But the descriptors can also be computed for the user-specified keypoints. Only 8-bit grayscale images are supported.
The class ``SURF_GPU`` can store results in the GPU and CPU memory. It provides functions to convert results between CPU and GPU version ( ``uploadKeypoints``, ``downloadKeypoints``, ``downloadDescriptors`` ). The format of CPU results is the same as ``SURF`` results. GPU results are stored in ``GpuMat``. The ``keypoints`` matrix is :math:`\texttt{nFeatures} \times 7` matrix with the ``CV_32FC1`` type.
* ``keypoints.ptr<float>(X_ROW)[i]`` contains x coordinate of the i-th feature.
* ``keypoints.ptr<float>(Y_ROW)[i]`` contains y coordinate of the i-th feature.
* ``keypoints.ptr<float>(LAPLACIAN_ROW)[i]`` contains the laplacian sign of the i-th feature.
* ``keypoints.ptr<float>(OCTAVE_ROW)[i]`` contains the octave of the i-th feature.
* ``keypoints.ptr<float>(SIZE_ROW)[i]`` contains the size of the i-th feature.
* ``keypoints.ptr<float>(ANGLE_ROW)[i]`` contain orientation of the i-th feature.
* ``keypoints.ptr<float>(HESSIAN_ROW)[i]`` contains the response of the i-th feature.
The ``descriptors`` matrix is :math:`\texttt{nFeatures} \times \texttt{descriptorSize}` matrix with the ``CV_32FC1`` type.
The class ``SURF_GPU`` uses some buffers and provides access to it. All buffers can be safely released between function calls.
.. seealso:: :ocv:class:`SURF`

@ -8,3 +8,4 @@ The module contains algorithms that may be patented in some countries or have so
:maxdepth: 2
feature_detection
background_subtraction

@ -40,12 +40,12 @@
//
//M*/
#ifndef __OPENCV_GPUNONFREE_HPP__
#define __OPENCV_GPUNONFREE_HPP__
#ifndef __OPENCV_NONFREE_GPU_HPP__
#define __OPENCV_NONFREE_GPU_HPP__
#ifndef SKIP_INCLUDES
#include <vector>
#endif
#include "opencv2/opencv_modules.hpp"
#if defined(HAVE_OPENCV_GPU)
#include "opencv2/gpu/gpu.hpp"
@ -164,4 +164,6 @@ private:
} // namespace cv
#endif /* __OPENCV_GPUNONFREE_HPP__ */
#endif // defined(HAVE_OPENCV_GPU)
#endif // __OPENCV_NONFREE_GPU_HPP__

@ -4,12 +4,14 @@ using namespace std;
using namespace testing;
using namespace perf;
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
//////////////////////////////////////////////////////////////////////
// SURF
DEF_PARAM_TEST_1(Image, string);
PERF_TEST_P(Image, Features2D_SURF,
PERF_TEST_P(Image, GPU_SURF,
Values<string>("gpu/perf/aloe.png"))
{
declare.time(50.0);
@ -55,7 +57,7 @@ PERF_TEST_P(Image, Features2D_SURF,
DEF_PARAM_TEST(Video_Cn, string, int);
PERF_TEST_P(Video_Cn, Video_VIBE,
PERF_TEST_P(Video_Cn, GPU_VIBE,
Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
GPU_CHANNELS_1_3_4))
{
@ -116,3 +118,5 @@ PERF_TEST_P(Video_Cn, Video_VIBE,
FAIL_NO_CPU();
}
}
#endif

@ -1,3 +1,3 @@
#include "perf_precomp.hpp"
CV_PERF_TEST_MAIN(nonfree)
CV_PERF_TEST_MAIN(nonfree, perf::printCudaInfo())

@ -9,10 +9,18 @@
#ifndef __OPENCV_PERF_PRECOMP_HPP__
#define __OPENCV_PERF_PRECOMP_HPP__
#include "cvconfig.h"
#include "opencv2/opencv_modules.hpp"
#include "opencv2/ts/ts.hpp"
#include "opencv2/ts/gpu_perf.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include "opencv2/highgui/highgui.hpp"
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
#include "opencv2/nonfree/gpu.hpp"
#endif
#ifdef GTEST_CREATE_SHARED_LIBRARY
#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined
#endif

@ -47,8 +47,23 @@
#include "cvconfig.h"
#endif
#include "opencv2/opencv_modules.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/core/internal.hpp"
#if defined(HAVE_OPENCV_GPU)
#include "opencv2/nonfree/gpu.hpp"
#if defined(HAVE_CUDA)
#include "opencv2/gpu/stream_accessor.hpp"
#include "opencv2/gpu/device/common.hpp"
static inline void throw_nogpu() { CV_Error(CV_StsNotImplemented, "The called functionality is disabled for current build or platform"); }
#else
static inline void throw_nogpu() { CV_Error(CV_GpuNotSupported, "The library is compiled without GPU support"); }
#endif
#endif
#endif

@ -42,11 +42,12 @@
#include "precomp.hpp"
#if defined(HAVE_OPENCV_GPU)
using namespace cv;
using namespace cv::gpu;
using namespace std;
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
#if !defined (HAVE_CUDA)
cv::gpu::SURF_GPU::SURF_GPU() { throw_nogpu(); }
cv::gpu::SURF_GPU::SURF_GPU(double, int, int, bool, float, bool) { throw_nogpu(); }
@ -61,7 +62,7 @@ void cv::gpu::SURF_GPU::operator()(const GpuMat&, const GpuMat&, vector<KeyPoint
void cv::gpu::SURF_GPU::operator()(const GpuMat&, const GpuMat&, vector<KeyPoint>&, vector<float>&, bool) { throw_nogpu(); }
void cv::gpu::SURF_GPU::releaseMemory() { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
#else // !defined (HAVE_CUDA)
namespace cv { namespace gpu { namespace device
{
@ -416,4 +417,6 @@ void cv::gpu::SURF_GPU::releaseMemory()
maxPosBuffer.release();
}
#endif /* !defined (HAVE_CUDA) */
#endif // !defined (HAVE_CUDA)
#endif // defined(HAVE_OPENCV_GPU)

@ -42,6 +42,8 @@
#include "precomp.hpp"
#if defined(HAVE_OPENCV_GPU)
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
cv::gpu::VIBE_GPU::VIBE_GPU(unsigned long) { throw_nogpu(); }
@ -135,3 +137,5 @@ void cv::gpu::VIBE_GPU::release()
}
#endif
#endif // defined(HAVE_OPENCV_GPU)

@ -41,7 +41,7 @@
#include "test_precomp.hpp"
#ifdef HAVE_CUDA
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
using namespace cvtest;
@ -81,7 +81,7 @@ PARAM_TEST_CASE(SURF, cv::gpu::DeviceInfo, SURF_HessianThreshold, SURF_Octaves,
GPU_TEST_P(SURF, Detector)
{
cv::Mat image = readImage("features2d/aloe.png", cv::IMREAD_GRAYSCALE);
cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(image.empty());
cv::gpu::SURF_GPU surf;
@ -129,7 +129,7 @@ GPU_TEST_P(SURF, Detector)
GPU_TEST_P(SURF, Detector_Masked)
{
cv::Mat image = readImage("features2d/aloe.png", cv::IMREAD_GRAYSCALE);
cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(image.empty());
cv::Mat mask(image.size(), CV_8UC1, cv::Scalar::all(1));
@ -180,7 +180,7 @@ GPU_TEST_P(SURF, Detector_Masked)
GPU_TEST_P(SURF, Descriptor)
{
cv::Mat image = readImage("features2d/aloe.png", cv::IMREAD_GRAYSCALE);
cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(image.empty());
cv::gpu::SURF_GPU surf;
@ -282,5 +282,4 @@ INSTANTIATE_TEST_CASE_P(GPU_Video, VIBE, testing::Combine(
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4)),
WHOLE_SUBMAT));
#endif // HAVE_CUDA
#endif

@ -1,3 +1,73 @@
#include "test_precomp.hpp"
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
using namespace cv;
using namespace cv::gpu;
using namespace cvtest;
using namespace testing;
int main(int argc, char** argv)
{
try
{
const char* keys =
"{ h | help ? | false | Print help}"
"{ i | info | false | Print information about system and exit }"
"{ d | device | -1 | Device on which tests will be executed (-1 means all devices) }"
;
CommandLineParser cmd(argc, (const char**)argv, keys);
if (cmd.get<bool>("help"))
{
cmd.printParams();
return 0;
}
printCudaInfo();
if (cmd.get<bool>("info"))
{
return 0;
}
int device = cmd.get<int>("device");
if (device < 0)
{
DeviceManager::instance().loadAll();
std::cout << "Run tests on all supported devices \n" << std::endl;
}
else
{
DeviceManager::instance().load(device);
DeviceInfo info(device);
std::cout << "Run tests on device " << device << " [" << info.name() << "] \n" << std::endl;
}
TS::ptr()->init("cv");
InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
catch (const std::exception& e)
{
std::cerr << e.what() << std::endl;
return -1;
}
catch (...)
{
std::cerr << "Unknown error" << std::endl;
return -1;
}
return 0;
}
#else // HAVE_CUDA
CV_TEST_MAIN("cv")
#endif // HAVE_CUDA

@ -9,10 +9,19 @@
#ifndef __OPENCV_TEST_PRECOMP_HPP__
#define __OPENCV_TEST_PRECOMP_HPP__
#include <iostream>
#include "cvconfig.h"
#include "opencv2/opencv_modules.hpp"
#include "opencv2/ts/ts.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include <iostream>
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
#include "opencv2/ts/gpu_test.hpp"
#include "opencv2/nonfree/gpu.hpp"
#endif
#endif

@ -1,3 +1,3 @@
set(the_description "Images stitching")
ocv_define_module(stitching opencv_imgproc opencv_features2d opencv_calib3d opencv_objdetect OPTIONAL opencv_gpu opencv_gpunonfree opencv_nonfree)
ocv_define_module(stitching opencv_imgproc opencv_features2d opencv_calib3d opencv_objdetect OPTIONAL opencv_gpu opencv_nonfree)

@ -47,8 +47,9 @@
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_GPUNONFREE
#include "opencv2/gpunonfree/gpunonfree.hpp"
#if defined(HAVE_OPENCV_NONFREE) && defined(HAVE_OPENCV_GPU)
#include "opencv2/nonfree/gpu.hpp"
#endif
namespace cv {
@ -103,7 +104,7 @@ private:
};
#ifdef HAVE_OPENCV_GPUNONFREE
#if defined(HAVE_OPENCV_NONFREE) && defined(HAVE_OPENCV_GPU)
class CV_EXPORTS SurfFeaturesFinderGpu : public FeaturesFinder
{
public:

@ -429,7 +429,7 @@ void OrbFeaturesFinder::find(const Mat &image, ImageFeatures &features)
}
}
#ifdef HAVE_OPENCV_GPUNONFREE
#if defined(HAVE_OPENCV_NONFREE) && defined(HAVE_OPENCV_GPU)
SurfFeaturesFinderGpu::SurfFeaturesFinderGpu(double hess_thresh, int num_octaves, int num_layers,
int num_octaves_descr, int num_layers_descr)
{

@ -71,10 +71,11 @@
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#ifdef HAVE_OPENCV_GPU
# include "opencv2/gpu/gpu.hpp"
#endif
#ifdef HAVE_OPENCV_GPUNONFREE
# include "opencv2/gpunonfree/gpunonfree.hpp"
#include "opencv2/gpu/gpu.hpp"
#ifdef HAVE_OPENCV_NONFREE
#include "opencv2/nonfree/gpu.hpp"
#endif
#endif
#include "../../imgproc/src/gcgraph.hpp"

@ -61,7 +61,7 @@ Stitcher Stitcher::createDefault(bool try_use_gpu)
#ifdef HAVE_OPENCV_GPU
if (try_use_gpu && gpu::getCudaEnabledDeviceCount() > 0)
{
#ifdef HAVE_OPENCV_GPUNONFREE
#if defined(HAVE_OPENCV_NONFREE)
stitcher.setFeaturesFinder(new detail::SurfFeaturesFinderGpu());
#else
stitcher.setFeaturesFinder(new detail::OrbFeaturesFinder());

@ -51,7 +51,7 @@ using namespace cv::gpu;
using namespace cv::superres;
using namespace cv::superres::detail;
#ifndef HAVE_CUDA
#if !defined(HAVE_CUDA) || !defined(HAVE_OPENCV_GPU)
Ptr<SuperResolution> cv::superres::createSuperResolution_BTVL1_GPU()
{

@ -20,10 +20,6 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
ocv_include_directories("${OpenCV_SOURCE_DIR}/modules/gpu/include")
endif()
if(HAVE_opencv_gpunonfree)
ocv_include_directories("${OpenCV_SOURCE_DIR}/modules/gpunonfree/include")
endif()
if(CMAKE_COMPILER_IS_GNUCXX AND NOT ENABLE_NOISY_WARNINGS)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-unused-function")
endif()
@ -48,9 +44,6 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
if(HAVE_opencv_gpu)
target_link_libraries(${the_target} opencv_gpu)
endif()
if(HAVE_opencv_gpunonfree)
target_link_libraries(${the_target} opencv_gpunonfree)
endif()
set_target_properties(${the_target} PROPERTIES
OUTPUT_NAME "cpp-${sample_kind}-${name}"

@ -355,7 +355,7 @@ int main(int argc, char* argv[])
Ptr<FeaturesFinder> finder;
if (features_type == "surf")
{
#ifdef HAVE_OPENCV_GPUNONFREE
#if defined(HAVE_OPENCV_NONFREE) && defined(HAVE_OPENCV_GPU)
if (try_gpu && gpu::getCudaEnabledDeviceCount() > 0)
finder = new SurfFeaturesFinderGpu();
else

@ -17,8 +17,8 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
"${OpenCV_SOURCE_DIR}/modules/gpu/src/nvidia/core"
)
if(HAVE_opencv_gpunonfree)
ocv_include_directories("${OpenCV_SOURCE_DIR}/modules/gpunonfree/include")
if(HAVE_opencv_nonfree)
ocv_include_directories("${OpenCV_SOURCE_DIR}/modules/nonfree/include")
endif()
if(HAVE_CUDA)
@ -37,8 +37,8 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
add_executable(${the_target} ${srcs})
target_link_libraries(${the_target} ${OPENCV_LINKER_LIBS} ${OPENCV_GPU_SAMPLES_REQUIRED_DEPS})
if(HAVE_opencv_gpunonfree)
target_link_libraries(${the_target} opencv_gpunonfree)
if(HAVE_opencv_nonfree)
target_link_libraries(${the_target} opencv_nonfree)
endif()
set_target_properties(${the_target} PROPERTIES

@ -6,8 +6,8 @@
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/highgui/highgui.hpp"
#ifdef HAVE_OPENCV_GPUNONFREE
#include "opencv2/gpunonfree/gpunonfree.hpp"
#ifdef HAVE_OPENCV_NONFREE
#include "opencv2/nonfree/gpu.hpp"
#endif
using namespace std;
@ -19,7 +19,7 @@ enum Method
FGD_STAT,
MOG,
MOG2,
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
VIBE,
#endif
GMG
@ -48,7 +48,7 @@ int main(int argc, const char** argv)
if (method != "fgd"
&& method != "mog"
&& method != "mog2"
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
&& method != "vibe"
#endif
&& method != "gmg")
@ -60,7 +60,7 @@ int main(int argc, const char** argv)
Method m = method == "fgd" ? FGD_STAT :
method == "mog" ? MOG :
method == "mog2" ? MOG2 :
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
method == "vibe" ? VIBE :
#endif
GMG;
@ -86,7 +86,7 @@ int main(int argc, const char** argv)
FGDStatModel fgd_stat;
MOG_GPU mog;
MOG2_GPU mog2;
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
VIBE_GPU vibe;
#endif
GMG_GPU gmg;
@ -114,7 +114,7 @@ int main(int argc, const char** argv)
mog2(d_frame, d_fgmask);
break;
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
case VIBE:
vibe.initialize(d_frame);
break;
@ -129,7 +129,7 @@ int main(int argc, const char** argv)
namedWindow("foreground mask", WINDOW_NORMAL);
namedWindow("foreground image", WINDOW_NORMAL);
if (m != GMG
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
&& m != VIBE
#endif
)
@ -165,7 +165,7 @@ int main(int argc, const char** argv)
mog2.getBackgroundImage(d_bgimg);
break;
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
case VIBE:
vibe(d_frame, d_fgmask);
break;

@ -10,8 +10,8 @@ endif()
add_executable(${the_target} ${sources} ${headers})
target_link_libraries(${the_target} ${OPENCV_LINKER_LIBS} ${OPENCV_GPU_SAMPLES_REQUIRED_DEPS})
if(HAVE_opencv_gpunonfree)
target_link_libraries(${the_target} opencv_gpunonfree opencv_nonfree)
if(HAVE_opencv_nonfree)
target_link_libraries(${the_target} opencv_nonfree)
endif()
set_target_properties(${the_target} PROPERTIES

@ -8,8 +8,8 @@
#include "performance.h"
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_GPUNONFREE
#include "opencv2/gpunonfree/gpunonfree.hpp"
#ifdef HAVE_OPENCV_NONFREE
#include "opencv2/nonfree/gpu.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#endif
@ -271,7 +271,7 @@ TEST(meanShift)
}
}
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
TEST(SURF)
{

@ -2,13 +2,13 @@
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_GPUNONFREE
#ifdef HAVE_OPENCV_NONFREE
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/gpunonfree/gpunonfree.hpp"
#include "opencv2/nonfree/gpu.hpp"
using namespace std;
using namespace cv;
@ -91,7 +91,7 @@ int main(int argc, char* argv[])
int main()
{
std::cerr << "OpenCV was built without gpunonfree module" << std::endl;
std::cerr << "OpenCV was built without nonfree module" << std::endl;
return 0;
}

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