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`VideoCapture capture; std::cout << "finish load network and open the video" << std::endl;
capture.open("/home/****/libtorch-yolov5/test.mp4"); if (!capture.isOpened()) { std::cout << "can not open ...\n" << std::endl; return -1; } Mat frame; namedWindow("output",WINDOW_AUTOSIZE); // set up threshold float conf_thres = 0.4;//opt["conf-thres"].as<float>(); float iou_thres = 0.5;//opt["iou-thres"].as<float>(); for (;;) { capture >> frame; //Mat pic; if (frame.empty()) break; //imshow("output",frame); std::cout << "start forward" <<std::endl; auto result = detector.Run(frame, conf_thres, iou_thres); Demo(frame, result, class_names); imshow("output",frame); if (waitKey(33) >= 0) break; } capture.release(); cv::destroyAllWindows(); //return 0;`
然后程序运行时,加载模型后第一帧马上就会显示出检测后的图像,也能正确画出检测框,这个过程很快,但第二帧就需要几百倍的时间,在inference阶段。。之后又回复到更短的时间,每次都是这样,换了视频也是如此,我统计了时间: ----------New Frame---------- img size:1080x1920 pre-process takes : 4 ms inference takes : 137 ms <-------------------------------------------------------137 post-process takes : 19 ms start forward ----------New Frame---------- img size:1080x1920 pre-process takes : 5 ms inference takes : 7869 ms <--------------------------------------------------------7869 post-process takes : 24 ms start forward ----------New Frame---------- img size:1080x1920 pre-process takes : 3 ms inference takes : 8 ms <------------------------------------------------------------8 post-process takes : 25 ms start forward ----------New Frame---------- img size:1080x1920 pre-process takes : 4 ms inference takes : 8 ms <-------------------------------------------------------------8 post-process takes : 23 ms
请问这可能是什么原因造成的呢? 注:不知道有什么作用,所以我取消掉了warm up。
The text was updated successfully, but these errors were encountered:
同样的问题,我直接循环跑单图前两张图消耗时间非常大
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在main.cpp中改写成视频检测,主要代码如下:
`VideoCapture capture;
std::cout << "finish load network and open the video" << std::endl;
然后程序运行时,加载模型后第一帧马上就会显示出检测后的图像,也能正确画出检测框,这个过程很快,但第二帧就需要几百倍的时间,在inference阶段。。之后又回复到更短的时间,每次都是这样,换了视频也是如此,我统计了时间:
----------New Frame----------
img size:1080x1920
pre-process takes : 4 ms
inference takes : 137 ms <-------------------------------------------------------137
post-process takes : 19 ms
start forward
----------New Frame----------
img size:1080x1920
pre-process takes : 5 ms
inference takes : 7869 ms <--------------------------------------------------------7869
post-process takes : 24 ms
start forward
----------New Frame----------
img size:1080x1920
pre-process takes : 3 ms
inference takes : 8 ms <------------------------------------------------------------8
post-process takes : 25 ms
start forward
----------New Frame----------
img size:1080x1920
pre-process takes : 4 ms
inference takes : 8 ms <-------------------------------------------------------------8
post-process takes : 23 ms
请问这可能是什么原因造成的呢?
注:不知道有什么作用,所以我取消掉了warm up。
The text was updated successfully, but these errors were encountered: