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Merge pull request #22615 from cudawarped:nvcuvenc

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Update CMake rules to include Nvidia Video Codec SDK encoding libs
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cudawarped 2022-10-28 11:03:51 +03:00 committed by GitHub
parent 778faddbd8
commit be670e168a
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GPG Key ID: 4AEE18F83AFDEB23
6 changed files with 57 additions and 102 deletions
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4
CMakeLists.txt
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@ -266,6 +266,9 @@ OCV_OPTION(WITH_CUDNN "Include NVIDIA CUDA Deep Neural Network (cuDNN) library s
OCV_OPTION(WITH_NVCUVID "Include NVidia Video Decoding library support" OFF # disabled, details: https://github.com/opencv/opencv/issues/14850
VISIBLE_IF WITH_CUDA
VERIFY HAVE_NVCUVID)
OCV_OPTION(WITH_NVCUVENC "Include NVidia Video Encoding library support" OFF
VISIBLE_IF WITH_CUDA
VERIFY HAVE_NVCUVENC)
OCV_OPTION(WITH_EIGEN "Include Eigen2/Eigen3 support" (NOT CV_DISABLE_OPTIMIZATION AND NOT CMAKE_CROSSCOMPILING)
VISIBLE_IF NOT WINRT
VERIFY HAVE_EIGEN)
@ -1661,6 +1664,7 @@ if(WITH_CUDA OR HAVE_CUDA)
IF HAVE_CUFFT THEN "CUFFT"
IF HAVE_CUBLAS THEN "CUBLAS"
IF HAVE_NVCUVID THEN "NVCUVID"
IF HAVE_NVCUVENC THEN "NVCUVENC"
IF CUDA_FAST_MATH THEN "FAST_MATH"
ELSE "no extra features")
status("")

6
cmake/FindCUDA.cmake
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@ -287,7 +287,7 @@
# Only available for CUDA version 5.5+.
# CUDA_npps_LIBRARY -- NVIDIA Performance Primitives lib (signal processing).
# Only available for CUDA version 5.5+.
# CUDA_nvcuvenc_LIBRARY -- CUDA Video Encoder library.
# CUDA_nvencodeapi_LIBRARY -- CUDA Video Encoder library.
# Only available for CUDA version 3.2+.
# Windows only.
# CUDA_nvcuvid_LIBRARY -- CUDA Video Decoder library.
@ -530,7 +530,7 @@ macro(cuda_unset_include_and_libraries)
unset(CUDA_nppc_LIBRARY CACHE)
unset(CUDA_nppi_LIBRARY CACHE)
unset(CUDA_npps_LIBRARY CACHE)
unset(CUDA_nvcuvenc_LIBRARY CACHE)
unset(CUDA_nvencodeapi_LIBRARY CACHE)
unset(CUDA_nvcuvid_LIBRARY CACHE)
endmacro()
@ -790,7 +790,7 @@ if(NOT CUDA_VERSION VERSION_LESS "3.2")
find_cuda_helper_libs(cusparse)
find_cuda_helper_libs(curand)
if (WIN32)
find_cuda_helper_libs(nvcuvenc)
find_cuda_helper_libs(nvencodeapi)
find_cuda_helper_libs(nvcuvid)
endif()
endif()

18
cmake/OpenCVDetectCUDA.cmake
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@ -28,6 +28,7 @@ else()
endif()
if(CUDA_FOUND)
unset(CUDA_nvcuvenc_LIBRARY CACHE)
set(HAVE_CUDA 1)
if(NOT CUDA_VERSION VERSION_LESS 11.0)
# CUDA 11.0 removes nppicom
@ -53,7 +54,7 @@ if(CUDA_FOUND)
endif()
endif()
if(WITH_NVCUVID)
if(WITH_NVCUVID OR WITH_NVCUVENC)
macro(ocv_cuda_SEARCH_NVCUVID_HEADER _filename _result)
# place header file under CUDA_TOOLKIT_TARGET_DIR or CUDA_TOOLKIT_ROOT_DIR
find_path(_header_result
@ -71,20 +72,27 @@ if(CUDA_FOUND)
endif()
unset(_header_result CACHE)
endmacro()
if(WITH_NVCUVID)
ocv_cuda_SEARCH_NVCUVID_HEADER("nvcuvid.h" HAVE_NVCUVID_HEADER)
ocv_cuda_SEARCH_NVCUVID_HEADER("dynlink_nvcuvid.h" HAVE_DYNLINK_NVCUVID_HEADER)
find_cuda_helper_libs(nvcuvid)
if(WIN32)
find_cuda_helper_libs(nvcuvenc)
endif()
if(CUDA_nvcuvid_LIBRARY AND (${HAVE_NVCUVID_HEADER} OR ${HAVE_DYNLINK_NVCUVID_HEADER}))
# make sure to have both header and library before enabling
set(HAVE_NVCUVID 1)
endif()
if(CUDA_nvcuvenc_LIBRARY)
endif()
if(WITH_NVCUVENC)
ocv_cuda_SEARCH_NVCUVID_HEADER("nvEncodeAPI.h" HAVE_NVCUVENC_HEADER)
if(WIN32)
find_cuda_helper_libs(nvencodeapi)
else()
find_cuda_helper_libs(nvidia-encode)
endif()
if((CUDA_nvencodeapi_LIBRARY OR CUDA_nvidia-encode_LIBRARY) AND ${HAVE_NVCUVENC_HEADER})
set(HAVE_NVCUVENC 1)
endif()
endif()
endif()
message(STATUS "CUDA detected: " ${CUDA_VERSION})

10
cmake/templates/OpenCVConfig-CUDA.cmake.in
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@ -5,7 +5,7 @@ set(OpenCV_CUDA_VERSION "@CUDA_VERSION_STRING@")
set(OpenCV_USE_CUBLAS "@HAVE_CUBLAS@")
set(OpenCV_USE_CUFFT "@HAVE_CUFFT@")
set(OpenCV_USE_NVCUVID "@HAVE_NVCUVID@")
set(OpenCV_USE_NVCUVENC "@HAVE_NVCUVENC@")
set(OpenCV_CUDNN_VERSION "@CUDNN_VERSION@")
set(OpenCV_USE_CUDNN "@HAVE_CUDNN@")
@ -36,14 +36,6 @@ if(OpenCV_USE_CUFFT)
list(APPEND OpenCV_CUDA_LIBS_ABSPATH ${CUDA_CUFFT_LIBRARIES})
endif()
if(OpenCV_USE_NVCUVID)
list(APPEND OpenCV_CUDA_LIBS_ABSPATH ${CUDA_nvcuvid_LIBRARIES})
endif()
if(WIN32)
list(APPEND OpenCV_CUDA_LIBS_ABSPATH ${CUDA_nvcuvenc_LIBRARIES})
endif()
set(OpenCV_CUDA_LIBS_RELPATH "")
foreach(l ${OpenCV_CUDA_LIBS_ABSPATH})
get_filename_component(_tmp ${l} PATH)

62
samples/gpu/video_reader.cpp
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@ -22,65 +22,41 @@ int main(int argc, const char* argv[])
const std::string fname(argv[1]);
cv::namedWindow("CPU", cv::WINDOW_NORMAL);
#if defined(HAVE_OPENGL)
cv::namedWindow("GPU", cv::WINDOW_OPENGL);
cv::cuda::setGlDevice();
#else
cv::namedWindow("GPU", cv::WINDOW_NORMAL);
#endif
cv::TickMeter tm;
cv::Mat frame;
cv::VideoCapture reader(fname);
for (;;)
{
if (!reader.read(frame))
break;
cv::imshow("CPU", frame);
if (cv::waitKey(3) > 0)
break;
}
cv::cuda::GpuMat d_frame;
cv::Ptr<cv::cudacodec::VideoReader> d_reader = cv::cudacodec::createVideoReader(fname);
cv::TickMeter tm;
std::vector<double> cpu_times;
std::vector<double> gpu_times;
int gpu_frame_count=0, cpu_frame_count=0;
for (;;)
{
tm.reset(); tm.start();
if (!reader.read(frame))
break;
tm.stop();
cpu_times.push_back(tm.getTimeMilli());
cpu_frame_count++;
cv::imshow("CPU", frame);
if (cv::waitKey(3) > 0)
break;
}
for (;;)
{
tm.reset(); tm.start();
if (!d_reader->nextFrame(d_frame))
break;
tm.stop();
gpu_times.push_back(tm.getTimeMilli());
gpu_frame_count++;
cv::imshow("GPU", d_frame);
#if defined(HAVE_OPENGL)
cv::imshow("GPU", cv::ogl::Texture2D(d_frame));
#else
d_frame.download(frame);
cv::imshow("GPU", frame);
#endif
if (cv::waitKey(3) > 0)
break;
}
if (!cpu_times.empty() && !gpu_times.empty())
{
std::cout << std::endl << "Results:" << std::endl;
std::sort(cpu_times.begin(), cpu_times.end());
std::sort(gpu_times.begin(), gpu_times.end());
double cpu_avg = std::accumulate(cpu_times.begin(), cpu_times.end(), 0.0) / cpu_times.size();
double gpu_avg = std::accumulate(gpu_times.begin(), gpu_times.end(), 0.0) / gpu_times.size();
std::cout << "CPU : Avg : " << cpu_avg << " ms FPS : " << 1000.0 / cpu_avg << " Frames " << cpu_frame_count << std::endl;
std::cout << "GPU : Avg : " << gpu_avg << " ms FPS : " << 1000.0 / gpu_avg << " Frames " << gpu_frame_count << std::endl;
}
return 0;
}

45
samples/gpu/video_writer.cpp
View File

@ -2,7 +2,7 @@
#include "opencv2/opencv_modules.hpp"
#if defined(HAVE_OPENCV_CUDACODEC) && defined(_WIN32)
#if defined(HAVE_OPENCV_CUDACODEC)
#include <vector>
#include <numeric>
@ -20,7 +20,7 @@ int main(int argc, const char* argv[])
return -1;
}
const double FPS = 25.0;
constexpr double fps = 25.0;
cv::VideoCapture reader(argv[1]);
@ -37,17 +37,12 @@ int main(int argc, const char* argv[])
cv::Mat frame;
cv::cuda::GpuMat d_frame;
std::vector<double> cpu_times;
std::vector<double> gpu_times;
TickMeter tm;
cv::cuda::Stream stream;
for (int i = 1;; ++i)
{
std::cout << "Read " << i << " frame" << std::endl;
reader >> frame;
if (frame.empty())
{
std::cout << "Stop" << std::endl;
@ -57,47 +52,27 @@ int main(int argc, const char* argv[])
if (!writer.isOpened())
{
std::cout << "Frame Size : " << frame.cols << "x" << frame.rows << std::endl;
std::cout << "Open CPU Writer" << std::endl;
if (!writer.open("output_cpu.avi", cv::VideoWriter::fourcc('X', 'V', 'I', 'D'), FPS, frame.size()))
const String outputFilename = "output_cpu.avi";
if (!writer.open(outputFilename, cv::VideoWriter::fourcc('X', 'V', 'I', 'D'), fps, frame.size()))
return -1;
std::cout << "Writing to " << outputFilename << std::endl;
}
if (d_writer.empty())
{
std::cout << "Open CUDA Writer" << std::endl;
const cv::String outputFilename = "output_gpu.avi";
d_writer = cv::cudacodec::createVideoWriter(outputFilename, frame.size(), FPS);
const cv::String outputFilename = "output_gpu.h264";
d_writer = cv::cudacodec::createVideoWriter(outputFilename, frame.size(), cv::cudacodec::Codec::H264, fps, cv::cudacodec::ColorFormat::BGR, 0, stream);
std::cout << "Writing to " << outputFilename << std::endl;
}
d_frame.upload(frame);
d_frame.upload(frame, stream);
std::cout << "Write " << i << " frame" << std::endl;
tm.reset(); tm.start();
writer.write(frame);
tm.stop();
cpu_times.push_back(tm.getTimeMilli());
tm.reset(); tm.start();
d_writer->write(d_frame);
tm.stop();
gpu_times.push_back(tm.getTimeMilli());
}
std::cout << std::endl << "Results:" << std::endl;
std::sort(cpu_times.begin(), cpu_times.end());
std::sort(gpu_times.begin(), gpu_times.end());
double cpu_avg = std::accumulate(cpu_times.begin(), cpu_times.end(), 0.0) / cpu_times.size();
double gpu_avg = std::accumulate(gpu_times.begin(), gpu_times.end(), 0.0) / gpu_times.size();
std::cout << "CPU [XVID] : Avg : " << cpu_avg << " ms FPS : " << 1000.0 / cpu_avg << std::endl;
std::cout << "GPU [H264] : Avg : " << gpu_avg << " ms FPS : " << 1000.0 / gpu_avg << std::endl;
return 0;
}