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Tetragramm
GitHub Repository: Tetragramm/opencv
Path: blob/master/samples/gpu/video_writer.cpp
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#include <iostream>
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#include "opencv2/opencv_modules.hpp"
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#if defined(HAVE_OPENCV_CUDACODEC) && defined(_WIN32)
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#include <vector>
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#include <numeric>
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#include "opencv2/core.hpp"
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#include "opencv2/cudacodec.hpp"
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#include "opencv2/highgui.hpp"
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using namespace cv;
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int main(int argc, const char* argv[])
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{
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if (argc != 2)
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{
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std::cerr << "Usage : video_writer <input video file>" << std::endl;
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return -1;
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}
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const double FPS = 25.0;
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cv::VideoCapture reader(argv[1]);
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if (!reader.isOpened())
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{
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std::cerr << "Can't open input video file" << std::endl;
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return -1;
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}
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cv::cuda::printShortCudaDeviceInfo(cv::cuda::getDevice());
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cv::VideoWriter writer;
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cv::Ptr<cv::cudacodec::VideoWriter> d_writer;
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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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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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break;
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}
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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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return -1;
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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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}
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d_frame.upload(frame);
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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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#else
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int main()
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{
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std::cout << "OpenCV was built without CUDA Video encoding support\n" << std::endl;
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return 0;
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}
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#endif
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