After editing the images, update the source video with: >ffmpeg -i input. This requires a script that can be downloaded at the link provided. The short version of the process is to replace the above commands with the following to extract the images: >ffmpeg -i input. As such, it may be preferable to convert the video to CFR instead.
Replacing frames in a VFR video can be very complicated. Note: To test whether a video (or segment) is CFR or VFR, and find its frame-rate, see here.Īlright, how about replacing frames in a variable frame-rate (VFR) video? Omit the -itsoffset option if replacing the entire video. vid -itsoffset 107 -framerate 25/2 -i '107+%06d.png' -filter_complex "overlay=eof_action=pass" output. If the source video is a known constant frame-rate (CFR) segment, then the edited frames can be overlaid (replaced) using the overlay filter – in this example, a 12.5fps CFR video: >ffmpeg -i input.
The video processing algorithm can then be applied to the individual images.īut now, how to replace the original video frames with the edited ones? Omit the -vf option if extracting the entire video. In a typical use-case, FFmpeg can be used to extract images from video – in this example, a 50-frame sequence starting at 1:47: >ffmpeg -i input. Machine learning algorithms for video processing typically work on frames (images) rather than video.
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