[FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

[Ben Parham]

Thank you DEF. The problem was solved by removing pix_fmt based on Dennis's
recommendation.

On Sat, Jul 9, 2022 at 5:45 PM DEF <shaker.doc at gmail.com> wrote:

> On Sat, 9 Jul 2022 at 08:25, Ben Parham <behfarteam at gmail.com> wrote:
> >
> > Hello,
> >
> > I try to use Nvidia codecs in live transcoding. The input stream is from
> an
> > IP camera (Hikvision) and its color format is "*yuvj420p*". My command
> is:
> >
> > ffmpeg.exe -y -hwaccel cuda -hwaccel_output_format cuda -rtsp_transport
> tcp
> > -i "rtsp://admin:Pass1@192.168.1.1" -flags +low_delay -vcodec hevc_nvenc
> > -s 1920x1080 -preset p2 -pix_fmt yuv420p -tune hq -rc vbr -vb 700k
> -maxrate
> > 800k -minrate 200k -bufsize 800k -g 25 -acodec copy -strict -2 -flags
> > +global_header -f rtsp "rtsp://localhost:8000/stream"
>
> Check out documenation at
>
> https://docs.nvidia.com/video-technologies/video-codec-sdk/ffmpeg-with-nvidia-gpu/
>
> Use -vsync 0 option with decode to prevent FFmpeg from creating output
> YUV with duplicate and extra frames.
> This seems to be the commonest runtime issue.
>
> Try
> ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda
> rtsp_transport tcp -i "rtsp://admin:Pass1@192.168.1.1" -flags
> +low_delay -vcodec hevc_nvenc -vf scale_cuda=1920:1080 -preset p2
> -pix_fmt yuv420p -tune hq -rc vbr -vb 700k -maxrate  800k -minrate
> 200k -bufsize 800k -g 25 -acodec copy -strict -2 -flags +global_header
> -f rtsp "rtsp://localhost:8000/stream"
>
>
> Def
>
>
> >
> > but I am faced with this error:
> > Impossible to convert between the formats supported by the filter
> > 'Parsed_null_0' and the filter 'auto_scale_0'
> > Error reinitializing filters!
> > Failed to inject frame into filter network: Function not implemented
> > Error while processing the decoded data for stream #0:0
> > Conversion failed!
> >
> > if I remove  "-hwaccel_output_format cuda", the transcoding starts, but
> the
> > decoded stream is sent to system memory. I prefer to keep it in GPU
> > memory to decrease the latency.
> > What should I do to fix this?
> > I would appreciate any help.
> >
> > Regards,
> > Ben.
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