86 lines
2.0 KiB
C++
86 lines
2.0 KiB
C++
#include <iostream>
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#include "opencv2/opencv_modules.hpp"
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#if defined(HAVE_OPENCV_CUDACODEC)
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#include <string>
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#include <vector>
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#include <algorithm>
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#include <numeric>
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#include <opencv2/core.hpp>
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#include <opencv2/core/opengl.hpp>
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#include <opencv2/cudacodec.hpp>
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#include <opencv2/highgui.hpp>
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#include <opencv2/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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return -1;
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const std::string fname(argv[1]);
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cv::namedWindow("CPU", cv::WINDOW_NORMAL);
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cv::namedWindow("GPU", cv::WINDOW_OPENGL);
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cv::cuda::setGlDevice();
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cv::Mat frame;
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cv::VideoCapture reader(fname);
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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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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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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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cv::imshow("CPU", frame);
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cv::imshow("GPU", d_frame);
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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 << std::endl;
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std::cout << "GPU : Avg : " << gpu_avg << " ms FPS : " << 1000.0 / gpu_avg << std::endl;
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}
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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 decoding support\n" << std::endl;
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return 0;
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}
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#endif
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