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Merge pull request #22615 from cudawarped:nvcuvenc
Update CMake rules to include Nvidia Video Codec SDK encoding libs
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@ -266,6 +266,9 @@ OCV_OPTION(WITH_CUDNN "Include NVIDIA CUDA Deep Neural Network (cuDNN) library s
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OCV_OPTION(WITH_NVCUVID "Include NVidia Video Decoding library support" OFF # disabled, details: https://github.com/opencv/opencv/issues/14850
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VISIBLE_IF WITH_CUDA
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VERIFY HAVE_NVCUVID)
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OCV_OPTION(WITH_NVCUVENC "Include NVidia Video Encoding library support" OFF
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VISIBLE_IF WITH_CUDA
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VERIFY HAVE_NVCUVENC)
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OCV_OPTION(WITH_EIGEN "Include Eigen2/Eigen3 support" (NOT CV_DISABLE_OPTIMIZATION AND NOT CMAKE_CROSSCOMPILING)
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VISIBLE_IF NOT WINRT
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VERIFY HAVE_EIGEN)
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@ -1661,6 +1664,7 @@ if(WITH_CUDA OR HAVE_CUDA)
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IF HAVE_CUFFT THEN "CUFFT"
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IF HAVE_CUBLAS THEN "CUBLAS"
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IF HAVE_NVCUVID THEN "NVCUVID"
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IF HAVE_NVCUVENC THEN "NVCUVENC"
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IF CUDA_FAST_MATH THEN "FAST_MATH"
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ELSE "no extra features")
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status("")
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@ -287,7 +287,7 @@
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# Only available for CUDA version 5.5+.
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# CUDA_npps_LIBRARY -- NVIDIA Performance Primitives lib (signal processing).
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# Only available for CUDA version 5.5+.
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# CUDA_nvcuvenc_LIBRARY -- CUDA Video Encoder library.
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# CUDA_nvencodeapi_LIBRARY -- CUDA Video Encoder library.
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# Only available for CUDA version 3.2+.
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# Windows only.
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# CUDA_nvcuvid_LIBRARY -- CUDA Video Decoder library.
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@ -530,7 +530,7 @@ macro(cuda_unset_include_and_libraries)
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unset(CUDA_nppc_LIBRARY CACHE)
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unset(CUDA_nppi_LIBRARY CACHE)
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unset(CUDA_npps_LIBRARY CACHE)
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unset(CUDA_nvcuvenc_LIBRARY CACHE)
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unset(CUDA_nvencodeapi_LIBRARY CACHE)
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unset(CUDA_nvcuvid_LIBRARY CACHE)
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endmacro()
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@ -790,7 +790,7 @@ if(NOT CUDA_VERSION VERSION_LESS "3.2")
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find_cuda_helper_libs(cusparse)
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find_cuda_helper_libs(curand)
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if (WIN32)
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find_cuda_helper_libs(nvcuvenc)
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find_cuda_helper_libs(nvencodeapi)
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find_cuda_helper_libs(nvcuvid)
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endif()
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endif()
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@ -28,6 +28,7 @@ else()
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endif()
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if(CUDA_FOUND)
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unset(CUDA_nvcuvenc_LIBRARY CACHE)
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set(HAVE_CUDA 1)
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if(NOT CUDA_VERSION VERSION_LESS 11.0)
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# CUDA 11.0 removes nppicom
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@ -53,7 +54,7 @@ if(CUDA_FOUND)
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endif()
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endif()
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if(WITH_NVCUVID)
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if(WITH_NVCUVID OR WITH_NVCUVENC)
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macro(ocv_cuda_SEARCH_NVCUVID_HEADER _filename _result)
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# place header file under CUDA_TOOLKIT_TARGET_DIR or CUDA_TOOLKIT_ROOT_DIR
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find_path(_header_result
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@ -71,20 +72,27 @@ if(CUDA_FOUND)
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endif()
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unset(_header_result CACHE)
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endmacro()
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if(WITH_NVCUVID)
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ocv_cuda_SEARCH_NVCUVID_HEADER("nvcuvid.h" HAVE_NVCUVID_HEADER)
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ocv_cuda_SEARCH_NVCUVID_HEADER("dynlink_nvcuvid.h" HAVE_DYNLINK_NVCUVID_HEADER)
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find_cuda_helper_libs(nvcuvid)
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if(WIN32)
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find_cuda_helper_libs(nvcuvenc)
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endif()
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if(CUDA_nvcuvid_LIBRARY AND (${HAVE_NVCUVID_HEADER} OR ${HAVE_DYNLINK_NVCUVID_HEADER}))
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# make sure to have both header and library before enabling
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set(HAVE_NVCUVID 1)
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endif()
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if(CUDA_nvcuvenc_LIBRARY)
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endif()
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if(WITH_NVCUVENC)
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ocv_cuda_SEARCH_NVCUVID_HEADER("nvEncodeAPI.h" HAVE_NVCUVENC_HEADER)
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if(WIN32)
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find_cuda_helper_libs(nvencodeapi)
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else()
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find_cuda_helper_libs(nvidia-encode)
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endif()
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if((CUDA_nvencodeapi_LIBRARY OR CUDA_nvidia-encode_LIBRARY) AND ${HAVE_NVCUVENC_HEADER})
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set(HAVE_NVCUVENC 1)
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endif()
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endif()
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endif()
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message(STATUS "CUDA detected: " ${CUDA_VERSION})
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@ -5,7 +5,7 @@ set(OpenCV_CUDA_VERSION "@CUDA_VERSION_STRING@")
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set(OpenCV_USE_CUBLAS "@HAVE_CUBLAS@")
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set(OpenCV_USE_CUFFT "@HAVE_CUFFT@")
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set(OpenCV_USE_NVCUVID "@HAVE_NVCUVID@")
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set(OpenCV_USE_NVCUVENC "@HAVE_NVCUVENC@")
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set(OpenCV_CUDNN_VERSION "@CUDNN_VERSION@")
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set(OpenCV_USE_CUDNN "@HAVE_CUDNN@")
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@ -36,14 +36,6 @@ if(OpenCV_USE_CUFFT)
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list(APPEND OpenCV_CUDA_LIBS_ABSPATH ${CUDA_CUFFT_LIBRARIES})
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endif()
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if(OpenCV_USE_NVCUVID)
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list(APPEND OpenCV_CUDA_LIBS_ABSPATH ${CUDA_nvcuvid_LIBRARIES})
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endif()
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if(WIN32)
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list(APPEND OpenCV_CUDA_LIBS_ABSPATH ${CUDA_nvcuvenc_LIBRARIES})
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endif()
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set(OpenCV_CUDA_LIBS_RELPATH "")
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foreach(l ${OpenCV_CUDA_LIBS_ABSPATH})
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get_filename_component(_tmp ${l} PATH)
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@ -22,65 +22,41 @@ int main(int argc, const char* argv[])
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const std::string fname(argv[1]);
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cv::namedWindow("CPU", cv::WINDOW_NORMAL);
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#if defined(HAVE_OPENGL)
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cv::namedWindow("GPU", cv::WINDOW_OPENGL);
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cv::cuda::setGlDevice();
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#else
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cv::namedWindow("GPU", cv::WINDOW_NORMAL);
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#endif
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cv::TickMeter tm;
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cv::Mat frame;
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cv::VideoCapture reader(fname);
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for (;;)
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{
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if (!reader.read(frame))
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break;
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cv::imshow("CPU", frame);
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if (cv::waitKey(3) > 0)
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break;
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}
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cv::cuda::GpuMat d_frame;
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cv::Ptr<cv::cudacodec::VideoReader> d_reader = cv::cudacodec::createVideoReader(fname);
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cv::TickMeter tm;
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std::vector<double> cpu_times;
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std::vector<double> gpu_times;
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int gpu_frame_count=0, cpu_frame_count=0;
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for (;;)
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{
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tm.reset(); tm.start();
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if (!reader.read(frame))
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break;
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tm.stop();
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cpu_times.push_back(tm.getTimeMilli());
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cpu_frame_count++;
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cv::imshow("CPU", frame);
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if (cv::waitKey(3) > 0)
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break;
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}
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for (;;)
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{
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tm.reset(); tm.start();
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if (!d_reader->nextFrame(d_frame))
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break;
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tm.stop();
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gpu_times.push_back(tm.getTimeMilli());
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gpu_frame_count++;
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cv::imshow("GPU", d_frame);
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#if defined(HAVE_OPENGL)
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cv::imshow("GPU", cv::ogl::Texture2D(d_frame));
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#else
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d_frame.download(frame);
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cv::imshow("GPU", frame);
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#endif
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if (cv::waitKey(3) > 0)
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break;
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}
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if (!cpu_times.empty() && !gpu_times.empty())
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{
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std::cout << std::endl << "Results:" << std::endl;
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std::sort(cpu_times.begin(), cpu_times.end());
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std::sort(gpu_times.begin(), gpu_times.end());
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double cpu_avg = std::accumulate(cpu_times.begin(), cpu_times.end(), 0.0) / cpu_times.size();
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double gpu_avg = std::accumulate(gpu_times.begin(), gpu_times.end(), 0.0) / gpu_times.size();
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std::cout << "CPU : Avg : " << cpu_avg << " ms FPS : " << 1000.0 / cpu_avg << " Frames " << cpu_frame_count << std::endl;
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std::cout << "GPU : Avg : " << gpu_avg << " ms FPS : " << 1000.0 / gpu_avg << " Frames " << gpu_frame_count << std::endl;
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}
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return 0;
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}
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@ -2,7 +2,7 @@
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#include "opencv2/opencv_modules.hpp"
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#if defined(HAVE_OPENCV_CUDACODEC) && defined(_WIN32)
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#if defined(HAVE_OPENCV_CUDACODEC)
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#include <vector>
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#include <numeric>
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@ -20,7 +20,7 @@ int main(int argc, const char* argv[])
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return -1;
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}
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const double FPS = 25.0;
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constexpr double fps = 25.0;
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cv::VideoCapture reader(argv[1]);
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@ -37,17 +37,12 @@ int main(int argc, const char* argv[])
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cv::Mat frame;
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cv::cuda::GpuMat d_frame;
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std::vector<double> cpu_times;
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std::vector<double> gpu_times;
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TickMeter tm;
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cv::cuda::Stream stream;
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for (int i = 1;; ++i)
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{
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std::cout << "Read " << i << " frame" << std::endl;
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reader >> frame;
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if (frame.empty())
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{
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std::cout << "Stop" << std::endl;
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@ -57,47 +52,27 @@ int main(int argc, const char* argv[])
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if (!writer.isOpened())
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{
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std::cout << "Frame Size : " << frame.cols << "x" << frame.rows << std::endl;
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std::cout << "Open CPU Writer" << std::endl;
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if (!writer.open("output_cpu.avi", cv::VideoWriter::fourcc('X', 'V', 'I', 'D'), FPS, frame.size()))
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const String outputFilename = "output_cpu.avi";
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if (!writer.open(outputFilename, cv::VideoWriter::fourcc('X', 'V', 'I', 'D'), fps, frame.size()))
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return -1;
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std::cout << "Writing to " << outputFilename << std::endl;
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}
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if (d_writer.empty())
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{
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std::cout << "Open CUDA Writer" << std::endl;
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const cv::String outputFilename = "output_gpu.avi";
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d_writer = cv::cudacodec::createVideoWriter(outputFilename, frame.size(), FPS);
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const cv::String outputFilename = "output_gpu.h264";
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d_writer = cv::cudacodec::createVideoWriter(outputFilename, frame.size(), cv::cudacodec::Codec::H264, fps, cv::cudacodec::ColorFormat::BGR, 0, stream);
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std::cout << "Writing to " << outputFilename << std::endl;
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}
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d_frame.upload(frame);
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d_frame.upload(frame, stream);
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std::cout << "Write " << i << " frame" << std::endl;
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tm.reset(); tm.start();
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writer.write(frame);
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tm.stop();
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cpu_times.push_back(tm.getTimeMilli());
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tm.reset(); tm.start();
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d_writer->write(d_frame);
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tm.stop();
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gpu_times.push_back(tm.getTimeMilli());
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}
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std::cout << std::endl << "Results:" << std::endl;
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std::sort(cpu_times.begin(), cpu_times.end());
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std::sort(gpu_times.begin(), gpu_times.end());
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double cpu_avg = std::accumulate(cpu_times.begin(), cpu_times.end(), 0.0) / cpu_times.size();
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double gpu_avg = std::accumulate(gpu_times.begin(), gpu_times.end(), 0.0) / gpu_times.size();
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std::cout << "CPU [XVID] : Avg : " << cpu_avg << " ms FPS : " << 1000.0 / cpu_avg << std::endl;
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std::cout << "GPU [H264] : Avg : " << gpu_avg << " ms FPS : " << 1000.0 / gpu_avg << std::endl;
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return 0;
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}
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