The popular x264 is the one which is widely used however it is not super fast! The latest NVIDIA GPUs contain a hardware-based video encoder called NVENC which is much faster than traditional ones. In order to encode the video, certainly, a video encoder must be used. IntroductionįFmpeg is one of the most famous multimedia frameworks which is widely used for processing videos. Although terminal execution is pretty easy and straightforward, for educational purposes, the pure Pythonic approach has been chosen.

Then run ffmpeg: ffmpeg -y -f concat -safe 0 -i list.txt -c copy result.In this tutorial, we investigate the NVIDIA GPU Acceleration mechanism to post-process a video.

I group the files in a list.txt: file '/path/to/file1' The output of the encoder is now in h264. How can i use a concat complex_filter in combination with cuvid hw acceleration? When i remove the hwaccel flag the command runs but i get a massive CPU load. If i run the command i get the following error: Impossible to convert between the formats supported by the filter 'Parsed_concat_0' and the filter 'auto_scaler_0'įailed to inject frame into filter network: Function not implemented I want to merge multiple h264 / mp4 files using a complex filter (simplified example): ffmpeg -hwaccel cuvid -c:v h264_cuvid -i input.ts -y -fflags +genpts -filter_complex 'concat=n=1:v=1:a=1' -map '' -map '' output.mp4 I am trying to use Nvidia hardware acceleration for FFmpeg using cuvid.

Ffmpeg filters gpu