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• ffmpeg hardware vaapi encoding VC1 to H.265 [closed]

  18 août 2024, par netzwanze

  I am trying to transcode a video from VC1 to H.265 using hardware acceleration.
VC1 by software decode and then encode by hardware acceleration.

  


  ffmpeg  -i title_t01.mkv  -map 0   -c:a copy  -c:s copy   -c:v hevc_vaapi  DUMB_AND_DUMBER.mkv


  


  Unfortunately this does not work

  


  detected 16 logical cores
[graph 0 input from stream 0:0 @ 0x55bc75120200] Setting 'video_size' to value '1920x1080'
[graph 0 input from stream 0:0 @ 0x55bc75120200] Setting 'pix_fmt' to value '0'
[graph 0 input from stream 0:0 @ 0x55bc75120200] Setting 'time_base' to value '1/1000'
[graph 0 input from stream 0:0 @ 0x55bc75120200] Setting 'pixel_aspect' to value '1/1'
[graph 0 input from stream 0:0 @ 0x55bc75120200] Setting 'frame_rate' to value '24000/1001'
[graph 0 input from stream 0:0 @ 0x55bc75120200] w:1920 h:1080 pixfmt:yuv420p tb:1/1000 fr:24000/1001 sar:1/1
[format @ 0x55bc75120a40] Setting 'pix_fmts' to value 'vaapi'
[auto_scale_0 @ 0x55bc750eae80] w:iw h:ih flags:'' interl:0
[format @ 0x55bc75120a40] auto-inserting filter 'auto_scale_0' between the filter 'Parsed_null_0' and the filter 'format'
Impossible to convert between the formats supported by the filter 'Parsed_null_0' and the filter 'auto_scale_0'
[vf#0:0 @ 0x55bc751182c0] Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
[vist#0:0/vc1 @ 0x55bc751134c0] Decoder thread received EOF packet
[vist#0:0/vc1 @ 0x55bc751134c0] Decoder returned EOF, finishing
[vist#0:0/vc1 @ 0x55bc751134c0] Terminating decoder thread
Error while filtering: Function not implemented


  


• FFmpeg hardware decoder hevc_cuvid is duplicating frames [closed]

  29 mai 2021, par Diksha Aggarwal

  I am using FFmpeg for Image and Video processing on GPU instance. Issue is frames are getting duplicated if we use hardware decoder.

  


  if I use ffmpeg -hwaccel_output_format cuda -hwaccel cuvid -c:v hevc_cuvid -i rgb.mkv -c:v hevc_nvenc rgb_mp4_rebox5.mp4 -y, then frames are duplicated and duration of video exceeds from 2.04 sec to 2.31 sec

  


  If I use ffmpeg -hwaccel_output_format cuda -hwaccel cuvid -i rgb.mkv -c:v hevc_nvenc rgb_mp4_rebox5.mp4 -y, then frames are intact and duration is same too which is 2.04 sec but this decreases the speed of the process from 2.32x to 2.14x

  


  If I use ffmpeg -hwaccel_output_format cuda -vsync 0 -hwaccel cuvid -c:v hevc_cuvid -i rgb.mkv -c:v hevc_nvenc rgb_mp4_rebox5.mp4 -y, then frames are of same number but duration of video exceeds from 2.04 sec to 2.18 sec

  


  Can anyone help why hardware decoder is duplicating the frames ?

  


• ffmpeg : "Impossible to convert between the formats" when using NVIDIA GPU hardware acceleration

  24 mai 2021, par MorenoGentili

  I'm using ffmpeg from the command line on Windows 10 and I wanted to gave GPU acceleration a try to improve execution times. A simple cut command like this works fine and its execution time is reduced by 60-70%. Awesome.

  


  ffmpeg -hwaccel cuvid -c:v h264_cuvid -ss 00:00:10 -i in.mp4 -c:v h264_nvenc out.mp4


  


  Now I tried to use the -filter_complex flag to overlay, fade and translate a png image over a video. The working non-GPU enhanced command is this one :

  


  ffmpeg -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), (t-30)*10, NAN)'" -movflags +faststart out.mp4


  


  Then, I added the GPU-related flags to the command like this.

  


  ffmpeg -hwaccel cuvid -c:v h264_cuvid -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), 60-tanh((t-30)*30/5)*60, NAN)'" -movflags +faststart -c:v h264_nvenc out.mp4


  


  But it won't work. I get this error.

  


  Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'
Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
Error while processing the decoded data for stream #0:0


  


  I don't even know what it means. Can I actually run ANY ffmpeg command on the GPU with GPU acceleration ? I've found some information about the hwupload_cuda flag but I'm not sure if I should use it and how. My attempts have failed so far.

  


  Any advice on how I should modify the command to make it work on the GPU ?