mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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96 lines
2.4 KiB
96 lines
2.4 KiB
#include <iostream> |
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#include <vector> |
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#include <numeric> |
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#include "opencv2/core/core.hpp" |
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#include "opencv2/gpu/gpu.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/contrib/contrib.hpp" |
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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::gpu::printShortCudaDeviceInfo(cv::gpu::getDevice()); |
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cv::VideoWriter writer; |
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cv::gpu::VideoWriter_GPU d_writer; |
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cv::Mat frame; |
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cv::gpu::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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cv::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_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.isOpened()) |
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{ |
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std::cout << "Open GPU Writer" << std::endl; |
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d_writer.open("output_gpu.avi", 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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