Hi, thanks for your work! When I use this code to process the process videos in the EPIC-KITCHENS-100 dataset to tfrecord file, I found that the processing speed is extremely slow (about 40 samples an hour, while the EPIC-KITCHENS-100 dataset contains more than 90,000 samples). The following below code is the main reason.
cmd = ( ffmpeg .input(video_path) .trim(start=start, end=end) .filter("fps", fps=fps) .filter("scale", new_width, -1) .output("pipe:", format="image2pipe") ) jpeg_bytes, _ = cmd.run(capture_stdout=True, quiet=True)
I guess when extract frames from the video, it will process all frames before the end time, instead of localize the start time at first, so how to solve the problem?
Hi, thanks for your work! When I use this code to process the process videos in the EPIC-KITCHENS-100 dataset to tfrecord file, I found that the processing speed is extremely slow (about 40 samples an hour, while the EPIC-KITCHENS-100 dataset contains more than 90,000 samples). The following below code is the main reason.
cmd = ( ffmpeg .input(video_path) .trim(start=start, end=end) .filter("fps", fps=fps) .filter("scale", new_width, -1) .output("pipe:", format="image2pipe") ) jpeg_bytes, _ = cmd.run(capture_stdout=True, quiet=True)I guess when extract frames from the video, it will process all frames before the end time, instead of localize the start time at first, so how to solve the problem?