# Usage:
# ocv_add_module(<name> [INTERNAL|BINDINGS] [REQUIRED] [<list of dependencies>] [OPTIONAL <list of optional dependencies>])
# Example:
-# ocv_add_module(yaom INTERNAL opencv_core opencv_highgui opencv_flann OPTIONAL opencv_cuda)
+# ocv_add_module(yaom INTERNAL opencv_core opencv_highgui opencv_flann OPTIONAL opencv_cudev)
macro(ocv_add_module _name)
ocv_debug_message("ocv_add_module(" ${_name} ${ARGN} ")")
string(TOLOWER "${_name}" name)
+++ /dev/null
-if(IOS OR (NOT HAVE_CUDA AND NOT BUILD_CUDA_STUBS))
- ocv_module_disable(cuda)
-endif()
-
-set(the_description "CUDA-accelerated Computer Vision")
-
-ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4127 /wd4100 /wd4324 /wd4512 /wd4515 -Wundef -Wmissing-declarations -Wshadow -Wunused-parameter)
-
-ocv_define_module(cuda opencv_calib3d opencv_cudaarithm opencv_cudawarping OPTIONAL opencv_cudalegacy)
+++ /dev/null
-CUDA Module Introduction {#cuda_intro}
-========================
-
-General Information
--------------------
-
-The OpenCV CUDA module is a set of classes and functions to utilize CUDA computational capabilities.
-It is implemented using NVIDIA\* CUDA\* Runtime API and supports only NVIDIA GPUs. The OpenCV CUDA
-module includes utility functions, low-level vision primitives, and high-level algorithms. The
-utility functions and low-level primitives provide a powerful infrastructure for developing fast
-vision algorithms taking advantage of CUDA whereas the high-level functionality includes some
-state-of-the-art algorithms (such as stereo correspondence, face and people detectors, and others)
-ready to be used by the application developers.
-
-The CUDA module is designed as a host-level API. This means that if you have pre-compiled OpenCV
-CUDA binaries, you are not required to have the CUDA Toolkit installed or write any extra code to
-make use of the CUDA.
-
-The OpenCV CUDA module is designed for ease of use and does not require any knowledge of CUDA.
-Though, such a knowledge will certainly be useful to handle non-trivial cases or achieve the highest
-performance. It is helpful to understand the cost of various operations, what the GPU does, what the
-preferred data formats are, and so on. The CUDA module is an effective instrument for quick
-implementation of CUDA-accelerated computer vision algorithms. However, if your algorithm involves
-many simple operations, then, for the best possible performance, you may still need to write your
-own kernels to avoid extra write and read operations on the intermediate results.
-
-To enable CUDA support, configure OpenCV using CMake with WITH\_CUDA=ON . When the flag is set and
-if CUDA is installed, the full-featured OpenCV CUDA module is built. Otherwise, the module is still
-built but at runtime all functions from the module throw Exception with CV\_GpuNotSupported error
-code, except for cuda::getCudaEnabledDeviceCount(). The latter function returns zero GPU count in
-this case. Building OpenCV without CUDA support does not perform device code compilation, so it does
-not require the CUDA Toolkit installed. Therefore, using the cuda::getCudaEnabledDeviceCount()
-function, you can implement a high-level algorithm that will detect GPU presence at runtime and
-choose an appropriate implementation (CPU or GPU) accordingly.
-
-Compilation for Different NVIDIA\* Platforms
---------------------------------------------
-
-NVIDIA\* compiler enables generating binary code (cubin and fatbin) and intermediate code (PTX).
-Binary code often implies a specific GPU architecture and generation, so the compatibility with
-other GPUs is not guaranteed. PTX is targeted for a virtual platform that is defined entirely by the
-set of capabilities or features. Depending on the selected virtual platform, some of the
-instructions are emulated or disabled, even if the real hardware supports all the features.
-
-At the first call, the PTX code is compiled to binary code for the particular GPU using a JIT
-compiler. When the target GPU has a compute capability (CC) lower than the PTX code, JIT fails. By
-default, the OpenCV CUDA module includes:
-
-\*
- Binaries for compute capabilities 1.3 and 2.0 (controlled by CUDA\_ARCH\_BIN in CMake)
-
-\*
- PTX code for compute capabilities 1.1 and 1.3 (controlled by CUDA\_ARCH\_PTX in CMake)
-
-This means that for devices with CC 1.3 and 2.0 binary images are ready to run. For all newer
-platforms, the PTX code for 1.3 is JIT'ed to a binary image. For devices with CC 1.1 and 1.2, the
-PTX for 1.1 is JIT'ed. For devices with CC 1.0, no code is available and the functions throw
-Exception. For platforms where JIT compilation is performed first, the run is slow.
-
-On a GPU with CC 1.0, you can still compile the CUDA module and most of the functions will run
-flawlessly. To achieve this, add "1.0" to the list of binaries, for example,
-CUDA\_ARCH\_BIN="1.0 1.3 2.0" . The functions that cannot be run on CC 1.0 GPUs throw an exception.
-
-You can always determine at runtime whether the OpenCV GPU-built binaries (or PTX code) are
-compatible with your GPU. The function cuda::DeviceInfo::isCompatible returns the compatibility
-status (true/false).
-
-Utilizing Multiple GPUs
------------------------
-
-In the current version, each of the OpenCV CUDA algorithms can use only a single GPU. So, to utilize
-multiple GPUs, you have to manually distribute the work between GPUs. Switching active devie can be
-done using cuda::setDevice() function. For more details please read Cuda C Programming Guide.
-
-While developing algorithms for multiple GPUs, note a data passing overhead. For primitive functions
-and small images, it can be significant, which may eliminate all the advantages of having multiple
-GPUs. But for high-level algorithms, consider using multi-GPU acceleration. For example, the Stereo
-Block Matching algorithm has been successfully parallelized using the following algorithm:
-
-1. Split each image of the stereo pair into two horizontal overlapping stripes.
-2. Process each pair of stripes (from the left and right images) on a separate Fermi\* GPU.
-3. Merge the results into a single disparity map.
-
-With this algorithm, a dual GPU gave a 180% performance increase comparing to the single Fermi GPU.
-For a source code example, see <https://github.com/Itseez/opencv/tree/master/samples/gpu/>.
+++ /dev/null
-/*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_CUDA_HPP__
-#define __OPENCV_CUDA_HPP__
-
-#ifndef __cplusplus
-# error cuda.hpp header must be compiled as C++
-#endif
-
-#include "opencv2/core/cuda.hpp"
-
-/**
- @addtogroup cuda
- @{
- @defgroup cuda_calib3d Camera Calibration and 3D Reconstruction
- @}
- */
-
-namespace cv { namespace cuda {
-
-//////////////////////////// Calib3d ////////////////////////////
-
-//! @addtogroup cuda_calib3d
-//! @{
-
-//! @}
-
-}} // namespace cv { namespace cuda {
-
-#endif /* __OPENCV_CUDA_HPP__ */
+++ /dev/null
-/*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"
-
-using namespace perf;
-
-CV_PERF_TEST_CUDA_MAIN(cuda)
+++ /dev/null
-/*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/cuda_perf.hpp"
-
-#include "opencv2/cuda.hpp"
-#include "opencv2/calib3d.hpp"
-
-#ifdef GTEST_CREATE_SHARED_LIBRARY
-#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined
-#endif
-
-#endif
+++ /dev/null
-/*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 "opencv2/cuda.hpp"
-#include "opencv2/cudaarithm.hpp"
-#include "opencv2/cudawarping.hpp"
-#include "opencv2/calib3d.hpp"
-
-#include "opencv2/core/private.cuda.hpp"
-#include "opencv2/core/utility.hpp"
-
-#include "opencv2/opencv_modules.hpp"
-
-#ifdef HAVE_OPENCV_CUDALEGACY
-# include "opencv2/cudalegacy/private.hpp"
-#endif
-
-#endif /* __OPENCV_PRECOMP_H__ */
+++ /dev/null
-/*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_CUDA_TEST_MAIN("gpu")
+++ /dev/null
-/*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 <fstream>
-
-#include "opencv2/ts.hpp"
-#include "opencv2/ts/cuda_test.hpp"
-
-#include "opencv2/cuda.hpp"
-#include "opencv2/core.hpp"
-#include "opencv2/core/opengl.hpp"
-#include "opencv2/calib3d.hpp"
-
-#include "cvconfig.h"
-
-#endif
endif()
ocv_define_module(stitching opencv_imgproc opencv_features2d opencv_calib3d opencv_objdetect
- OPTIONAL opencv_cuda opencv_cudaarithm opencv_cudafilters opencv_cudafeatures2d opencv_cudalegacy opencv_xfeatures2d)
+ OPTIONAL opencv_cudaarithm opencv_cudafilters opencv_cudafeatures2d opencv_cudalegacy opencv_xfeatures2d)
stitcher.setFeaturesMatcher(makePtr<detail::BestOf2NearestMatcher>(try_use_gpu));
stitcher.setBundleAdjuster(makePtr<detail::BundleAdjusterRay>());
-#ifdef HAVE_OPENCV_CUDA
+#ifdef HAVE_CUDA
if (try_use_gpu && cuda::getCudaEnabledDeviceCount() > 0)
{
#ifdef HAVE_OPENCV_XFEATURES2D
stitcher->setFeaturesMatcher(makePtr<detail::BestOf2NearestMatcher>(try_use_gpu));
stitcher->setBundleAdjuster(makePtr<detail::BundleAdjusterRay>());
- #ifdef HAVE_OPENCV_CUDA
+ #ifdef HAVE_CUDA
if (try_use_gpu && cuda::getCudaEnabledDeviceCount() > 0)
{
#ifdef HAVE_OPENCV_NONFREE
std::vector<Point2f> pointsPrevGood_, pointsGood_;
};
-#if defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDA) && defined(HAVE_OPENCV_CUDAOPTFLOW)
+#if defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDAOPTFLOW)
class CV_EXPORTS KeypointBasedMotionEstimatorGpu : public ImageMotionEstimatorBase
{
std::vector<uchar> rejectionStatus_;
};
-#endif // defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDA) && defined(HAVE_OPENCV_CUDAOPTFLOW)
+#endif // defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDAOPTFLOW)
/** @brief Computes motion between two frames assuming that all the intermediate motions are known.
Mat_<float> mapx_, mapy_;
};
-#if defined(HAVE_OPENCV_CUDA) && defined(HAVE_OPENCV_CUDAWARPING)
+#if defined(HAVE_OPENCV_CUDAWARPING)
class CV_EXPORTS MoreAccurateMotionWobbleSuppressorGpu : public MoreAccurateMotionWobbleSuppressorBase
{
public:
return motionEstimator_->estimate(hostPointsPrev_, hostPoints_, ok);
}
-#endif // defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDA) && defined(HAVE_OPENCV_CUDAOPTFLOW)
+#endif // defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDAOPTFLOW)
Mat getMotion(int from, int to, const std::vector<Mat> &motions)
seam_finder = makePtr<detail::VoronoiSeamFinder>();
else if (seam_find_type == "gc_color")
{
-#ifdef HAVE_OPENCV_CUDA
+#ifdef HAVE_OPENCV_CUDALEGACY
if (try_cuda && cuda::getCudaEnabledDeviceCount() > 0)
seam_finder = makePtr<detail::GraphCutSeamFinderGpu>(GraphCutSeamFinderBase::COST_COLOR);
else
}
else if (seam_find_type == "gc_colorgrad")
{
-#ifdef HAVE_OPENCV_CUDA
+#ifdef HAVE_OPENCV_CUDALEGACY
if (try_cuda && cuda::getCudaEnabledDeviceCount() > 0)
seam_finder = makePtr<detail::GraphCutSeamFinderGpu>(GraphCutSeamFinderBase::COST_COLOR_GRAD);
else
outlierRejector = tblor;
}
-#if defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDA) && defined(HAVE_OPENCV_CUDAOPTFLOW)
+#if defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDAOPTFLOW)
if (gpu)
{
Ptr<KeypointBasedMotionEstimatorGpu> kbest = makePtr<KeypointBasedMotionEstimatorGpu>(est);
outlierRejector = tblor;
}
-#if defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDA) && defined(HAVE_OPENCV_CUDAOPTFLOW)
+#if defined(HAVE_OPENCV_CUDAIMGPROC) && defined(HAVE_OPENCV_CUDAOPTFLOW)
if (gpu)
{
Ptr<KeypointBasedMotionEstimatorGpu> kbest = makePtr<KeypointBasedMotionEstimatorGpu>(est);
return 0;
}
-#ifdef HAVE_OPENCV_CUDA
if (arg("gpu") == "yes")
{
cout << "initializing GPU..."; cout.flush();
deviceTmp.upload(hostTmp);
cout << endl;
}
-#endif
StabilizerBase *stabilizer = 0;
{
Ptr<MoreAccurateMotionWobbleSuppressorBase> ws = makePtr<MoreAccurateMotionWobbleSuppressor>();
if (arg("gpu") == "yes")
-#ifdef HAVE_OPENCV_CUDA
+#ifdef HAVE_OPENCV_CUDAWARPING
ws = makePtr<MoreAccurateMotionWobbleSuppressorGpu>();
#else
throw runtime_error("OpenCV is built without CUDA support");
SET(OPENCV_CUDA_SAMPLES_REQUIRED_DEPS opencv_core opencv_flann opencv_imgproc opencv_imgcodecs opencv_videoio opencv_highgui
opencv_ml opencv_video opencv_objdetect opencv_features2d
- opencv_calib3d opencv_cuda opencv_superres
+ opencv_calib3d opencv_superres
opencv_cudaarithm opencv_cudafilters opencv_cudawarping opencv_cudaimgproc
opencv_cudafeatures2d opencv_cudaoptflow opencv_cudabgsegm
opencv_cudastereo opencv_cudalegacy opencv_cudaobjdetect)
#include <stdexcept>
#include <string>
#include "performance.h"
+#include "opencv2/core/cuda.hpp"
using namespace std;
using namespace cv;
#include <numeric>
#include <string>
#include <opencv2/core/utility.hpp>
-#include "opencv2/cuda.hpp"
#define TAB " "