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

2023-02-26 Thread Dennis Mungai 
On Mon, 27 Feb 2023 at 03:48, Dennis Mungai  wrote:

> On Sun, 10 Jul 2022 at 10:28, Ben Parham  wrote:
>
>> Hi Dennis,
>> Now I am streaming with two cameras but I have a small problem, the audio
>> stream is not synced with the video stream, and there is a small delay of
>> around 0.2 seconds.
>> How can I fix it? I would appreciate your help.
>> Regards,
>> Ben.
>>
>
> This somehow slipped through my email filters, seeing this now.
>
> Try this variant and report back:
>
> ffmpeg -y -fps_mode passthrough -hwaccel cuda -hwaccel_output_format cuda
> -extra_hw_frames 3
> rtsp_transport tcp -i "rtsp://admin:Pass1@192.168.1.1" -flags
> +genpts -vf scale_cuda=1920:1080  -vcodec hevc_nvenc -delay 0  -preset p2
> -bf:v 0 -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"
>
> See the changes I made:
>
> 1. Completely disabled B-frames. B-frames add to encoder latency.
> 2. See the new option -fps_mode, which replaces the now-deprecated -vsync
> parameter.
> 3. I also removed the +low_delay flag, as its' known to be very broken on
> any input with B-frames.
> 4. To nvenc, I added the -delay parameter, set to 0.
>
> The latency is propagated by the “delay” parameter (internally referred to
> as async_depth) passed to FFmpeg for nvenc. The code in FFmpeg’s nvenc.c waits
> until this number of extra frames have been buffered
> 
> before emitting any frames and is intended to support parallel and 1:N
> encoding scenarios.
>
> The assigned default value is INT_MAX which later gets reduced down to the
> number of NVENC surfaces initialized minus one, which itself has an initial
> value of 4 when unset/by default.
>
> This can be overriden by setting -delay:v 0 to fix the output latency.
>
>
> Retest and report back.
>
>
>

You can also add

-max_interleave_delta 0

To the output options, like this to the command line above:

ffmpeg -y -fps_mode passthrough -hwaccel cuda -hwaccel_output_format cuda
-extra_hw_frames 3
rtsp_transport tcp -i "rtsp://admin:Pass1@192.168.1.1" -flags
+genpts -vf scale_cuda=1920:1080  -vcodec hevc_nvenc -delay 0  -preset p2
-bf:v 0 -tune hq -rc vbr -vb 700k -maxrate  800k -minrate
200k -bufsize 800k -g 25 -acodec copy -strict -2 -flags +global_header
-max_interleave_delta 0 -f rtsp "rtsp://localhost:8000/stream"

And report back on the results.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2023-02-26 Thread Dennis Mungai 
On Sun, 10 Jul 2022 at 10:28, Ben Parham  wrote:

> Hi Dennis,
> Now I am streaming with two cameras but I have a small problem, the audio
> stream is not synced with the video stream, and there is a small delay of
> around 0.2 seconds.
> How can I fix it? I would appreciate your help.
> Regards,
> Ben.
>

This somehow slipped through my email filters, seeing this now.

Try this variant and report back:

ffmpeg -y -fps_mode passthrough -hwaccel cuda -hwaccel_output_format cuda
-extra_hw_frames 3
rtsp_transport tcp -i "rtsp://admin:Pass1@192.168.1.1" -flags
+genpts -vf scale_cuda=1920:1080  -vcodec hevc_nvenc -delay 0  -preset p2
-bf:v 0 -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"

See the changes I made:

1. Completely disabled B-frames. B-frames add to encoder latency.
2. See the new option -fps_mode, which replaces the now-deprecated -vsync
parameter.
3. I also removed the +low_delay flag, as its' known to be very broken on
any input with B-frames.
4. To nvenc, I added the -delay parameter, set to 0.

The latency is propagated by the “delay” parameter (internally referred to
as async_depth) passed to FFmpeg for nvenc. The code in FFmpeg’s nvenc.c waits
until this number of extra frames have been buffered

before emitting any frames and is intended to support parallel and 1:N
encoding scenarios.

The assigned default value is INT_MAX which later gets reduced down to the
number of NVENC surfaces initialized minus one, which itself has an initial
value of 4 when unset/by default.

This can be overriden by setting -delay:v 0 to fix the output latency.


Retest and report back.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-10 Thread Ben Parham 
Hi Dennis,
Now I am streaming with two cameras but I have a small problem, the audio
stream is not synced with the video stream, and there is a small delay of
around 0.2 seconds.
How can I fix it? I would appreciate your help.
Regards,
Ben.

On Sat, Jul 9, 2022 at 9:52 PM Dennis Mungai  wrote:

> On Sat, 9 Jul 2022, 15:05 Ben Parham,  wrote:
>
> > Hi again,
> > Sure, I will do it based on that. Thank you for your help. If I face an
> > issue I'll contact you again.
> > I appreciate it.
> >
> > On Sat, Jul 9, 2022 at 7:55 PM Dennis Mungai  wrote:
> >
> > > On Sat, 9 Jul 2022 at 14:40, Ben Parham  wrote:
> > >
> > > > Thank you, Dennis. It works with 6 in-preset p4. Now I am running one
> > > > stream, but I will run 5 streams in RTX A2000. Does it support this
> > > number
> > > > in all streams?
> > > >
> > >
> > > Hello there,
> > > That GPU has no limitations on the simultaneous number of NVENC
> sessions
> > it
> > > can handle.
> > > However, throughput will be significantly impacted by its' low power
> > > profile limit (70W?) as you add more transcode jobs.
> > > This is an issue I've observed in production with a similar GPU
> profile,
> > > the Tesla T4.
> > > You may consider tuning these encoder presets to compensate for
> > throughput
> > > drops with multiple simultaneous transcode sessions, if real time
> > encoding
> > > is a priority to you.
> > > And on NVDEC: VRAM usage can also be quite steep with multiple
> sessions.
> > > Monitor that carefully via nvidia-smi as you add more transcode jobs.
> >
>
>
> Sure thing, no worries.
>
> >
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Dennis Mungai 
On Sat, 9 Jul 2022, 15:05 Ben Parham,  wrote:

> Hi again,
> Sure, I will do it based on that. Thank you for your help. If I face an
> issue I'll contact you again.
> I appreciate it.
>
> On Sat, Jul 9, 2022 at 7:55 PM Dennis Mungai  wrote:
>
> > On Sat, 9 Jul 2022 at 14:40, Ben Parham  wrote:
> >
> > > Thank you, Dennis. It works with 6 in-preset p4. Now I am running one
> > > stream, but I will run 5 streams in RTX A2000. Does it support this
> > number
> > > in all streams?
> > >
> >
> > Hello there,
> > That GPU has no limitations on the simultaneous number of NVENC sessions
> it
> > can handle.
> > However, throughput will be significantly impacted by its' low power
> > profile limit (70W?) as you add more transcode jobs.
> > This is an issue I've observed in production with a similar GPU profile,
> > the Tesla T4.
> > You may consider tuning these encoder presets to compensate for
> throughput
> > drops with multiple simultaneous transcode sessions, if real time
> encoding
> > is a priority to you.
> > And on NVDEC: VRAM usage can also be quite steep with multiple sessions.
> > Monitor that carefully via nvidia-smi as you add more transcode jobs.
>


Sure thing, no worries.

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

2022-07-09 Thread Ben Parham 
Hi again,
Sure, I will do it based on that. Thank you for your help. If I face an
issue I'll contact you again.
I appreciate it.

On Sat, Jul 9, 2022 at 7:55 PM Dennis Mungai  wrote:

> On Sat, 9 Jul 2022 at 14:40, Ben Parham  wrote:
>
> > Thank you, Dennis. It works with 6 in-preset p4. Now I am running one
> > stream, but I will run 5 streams in RTX A2000. Does it support this
> number
> > in all streams?
> >
>
> Hello there,
> That GPU has no limitations on the simultaneous number of NVENC sessions it
> can handle.
> However, throughput will be significantly impacted by its' low power
> profile limit (70W?) as you add more transcode jobs.
> This is an issue I've observed in production with a similar GPU profile,
> the Tesla T4.
> You may consider tuning these encoder presets to compensate for throughput
> drops with multiple simultaneous transcode sessions, if real time encoding
> is a priority to you.
> And on NVDEC: VRAM usage can also be quite steep with multiple sessions.
> Monitor that carefully via nvidia-smi as you add more transcode jobs.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Dennis Mungai 
On Sat, 9 Jul 2022 at 14:40, Ben Parham  wrote:

> Thank you, Dennis. It works with 6 in-preset p4. Now I am running one
> stream, but I will run 5 streams in RTX A2000. Does it support this number
> in all streams?
>

Hello there,
That GPU has no limitations on the simultaneous number of NVENC sessions it
can handle.
However, throughput will be significantly impacted by its' low power
profile limit (70W?) as you add more transcode jobs.
This is an issue I've observed in production with a similar GPU profile,
the Tesla T4.
You may consider tuning these encoder presets to compensate for throughput
drops with multiple simultaneous transcode sessions, if real time encoding
is a priority to you.
And on NVDEC: VRAM usage can also be quite steep with multiple sessions.
Monitor that carefully via nvidia-smi as you add more transcode jobs.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Ben Parham 
Thank you, Dennis. It works with 6 in-preset p4. Now I am running one
stream, but I will run 5 streams in RTX A2000. Does it support this number
in all streams?

On Sat, Jul 9, 2022 at 7:29 PM Dennis Mungai  wrote:

> On Sat, 9 Jul 2022 at 14:25, Ben Parham  wrote:
>
> > Thanks, Dennis. I added it in -preset p4 and the same error appeared:
> >
> > hevc @ 01ac32f034c0] hardware accelerator failed to decode picture
> > Error while decoding stream #0:0: Generic error in an external library
> > [hevc @ 01ac41cd1180] Could not find ref with POC 5
> > [hevc @ 01ac41d82640] No decoder surfaces left38 bitrate=N/A
> > speed=2.09x
> > [hevc @ 01ac41d82640]
> > decoder->cvdl->cuvidDecodePicture(decoder->decoder, >pic_params)
> > failed -> CUDA_ERROR_INVALID_VALUE: invalid argument
> >
> >
> >
> How many encoder sessions are you running simultaneously?
> Try bumping up the number of extra_hw_frames, say 6 to 10, and retest.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Dennis Mungai 
On Sat, 9 Jul 2022 at 14:25, Ben Parham  wrote:

> Thanks, Dennis. I added it in -preset p4 and the same error appeared:
>
> hevc @ 01ac32f034c0] hardware accelerator failed to decode picture
> Error while decoding stream #0:0: Generic error in an external library
> [hevc @ 01ac41cd1180] Could not find ref with POC 5
> [hevc @ 01ac41d82640] No decoder surfaces left38 bitrate=N/A
> speed=2.09x
> [hevc @ 01ac41d82640]
> decoder->cvdl->cuvidDecodePicture(decoder->decoder, >pic_params)
> failed -> CUDA_ERROR_INVALID_VALUE: invalid argument
>
>
>
How many encoder sessions are you running simultaneously?
Try bumping up the number of extra_hw_frames, say 6 to 10, and retest.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Ben Parham 
Thanks, Dennis. I added it in -preset p4 and the same error appeared:

hevc @ 01ac32f034c0] hardware accelerator failed to decode picture
Error while decoding stream #0:0: Generic error in an external library
[hevc @ 01ac41cd1180] Could not find ref with POC 5
[hevc @ 01ac41d82640] No decoder surfaces left38 bitrate=N/A speed=2.09x
[hevc @ 01ac41d82640]
decoder->cvdl->cuvidDecodePicture(decoder->decoder, >pic_params)
failed -> CUDA_ERROR_INVALID_VALUE: invalid argument

On Sat, Jul 9, 2022 at 7:11 PM Dennis Mungai  wrote:

> On Sat, 9 Jul 2022 at 14:01, Ben Parham  wrote:
>
> > Thank you, Dennis. By removing _pix_fmt the issue was solved.
> > But when I change the preset from p2 to p3 or p4, I face this error:
> >
> > [hevc @ 01ebb41bdc40] hardware accelerator failed to decode picture
> > [hevc @ 01ebb41bb440] Could not find ref with POC 24
> > [rtsp @ 01ebb42500c0] Invalid DTS: 126000 PTS: 118800 in output
> stream
> > 0:0, replacing by guess
> > Error while decoding stream #0:0: Generic error in an external library
> > [hevc @ 01ebb41bbc40] No decoder surfaces left
> > [hevc @ 01ebb41bbc40]
> > decoder->cvdl->cuvidDecodePicture(decoder->decoder, >pic_params)
> > failed -> CUDA_ERROR_INVALID_VALUE: invalid argument
> >
> > Could you help me to fix this error please?
> >
>
> Sure, I can.
>
> By design, ffmpeg's NVDEC implementation is required to allocate surfaces
> to handle bitstreams with advanced features such as B-frames, interlaced
> content, etc.
> However, the pre-allocated surfaces may not be enough in some cases, and
> that can be fixed by setting the -extra_hw_frames {n} option, with n > 2.
> See this ticket for more details: https://trac.ffmpeg.org/ticket/7562
>
> Try this out:
>
> ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda
> -extra_hw_frames 3
> 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"
>
> And report back.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Dennis Mungai 
On Sat, 9 Jul 2022 at 14:01, Ben Parham  wrote:

> Thank you, Dennis. By removing _pix_fmt the issue was solved.
> But when I change the preset from p2 to p3 or p4, I face this error:
>
> [hevc @ 01ebb41bdc40] hardware accelerator failed to decode picture
> [hevc @ 01ebb41bb440] Could not find ref with POC 24
> [rtsp @ 01ebb42500c0] Invalid DTS: 126000 PTS: 118800 in output stream
> 0:0, replacing by guess
> Error while decoding stream #0:0: Generic error in an external library
> [hevc @ 01ebb41bbc40] No decoder surfaces left
> [hevc @ 01ebb41bbc40]
> decoder->cvdl->cuvidDecodePicture(decoder->decoder, >pic_params)
> failed -> CUDA_ERROR_INVALID_VALUE: invalid argument
>
> Could you help me to fix this error please?
>

Sure, I can.

By design, ffmpeg's NVDEC implementation is required to allocate surfaces
to handle bitstreams with advanced features such as B-frames, interlaced
content, etc.
However, the pre-allocated surfaces may not be enough in some cases, and
that can be fixed by setting the -extra_hw_frames {n} option, with n > 2.
See this ticket for more details: https://trac.ffmpeg.org/ticket/7562

Try this out:

ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda
-extra_hw_frames 3
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"

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

2022-07-09 Thread 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  wrote:

> On Sat, 9 Jul 2022 at 08:25, Ben Parham  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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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Ben Parham 
Thank you, Dennis. By removing _pix_fmt the issue was solved.
But when I change the preset from p2 to p3 or p4, I face this error:

[hevc @ 01ebb41bdc40] hardware accelerator failed to decode picture
[hevc @ 01ebb41bb440] Could not find ref with POC 24
[rtsp @ 01ebb42500c0] Invalid DTS: 126000 PTS: 118800 in output stream
0:0, replacing by guess
Error while decoding stream #0:0: Generic error in an external library
[hevc @ 01ebb41bbc40] No decoder surfaces left
[hevc @ 01ebb41bbc40]
decoder->cvdl->cuvidDecodePicture(decoder->decoder, >pic_params)
failed -> CUDA_ERROR_INVALID_VALUE: invalid argument

Could you help me to fix this error please?


On Sat, Jul 9, 2022 at 6:11 PM Dennis Mungai  wrote:

> On Sat, 9 Jul 2022 at 12:45, DEF  wrote:
>
> > On Sat, 9 Jul 2022 at 08:25, Ben Parham  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
> >
>
> The error may have to do with the specified pixel format filter in the
> command line, specifically  " -pix_fmt yuv420p".
> Remove that and retest with a command such as this one:
>
> 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
> -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"
>
> With CUDA/NVDEC hwaccel, the default pixel format will be CUDA. Inserting a
> request for another format via "-pix_fmt yuv420p" as is would fail, as it
> introduces the need for hwdownload and format conversion which isn't
> automatic.
> Please retest and report back.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Dennis Mungai 
On Sat, 9 Jul 2022 at 12:45, DEF  wrote:

> On Sat, 9 Jul 2022 at 08:25, Ben Parham  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
>

The error may have to do with the specified pixel format filter in the
command line, specifically  " -pix_fmt yuv420p".
Remove that and retest with a command such as this one:

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
-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"

With CUDA/NVDEC hwaccel, the default pixel format will be CUDA. Inserting a
request for another format via "-pix_fmt yuv420p" as is would fail, as it
introduces the need for hwdownload and format conversion which isn't
automatic.
Please retest and report back.
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread DEF 
On Sat, 9 Jul 2022 at 08:25, Ben Parham  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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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Ben Parham 
Thanks for the recommendation. I removed it, but the same error exists.
The input stream size is 1920x1080

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!

On Sat, Jul 9, 2022 at 3:30 PM Dennis Mungai  wrote:

> On Sat, 9 Jul 2022 at 10:25, Ben Parham  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"
> >
> >
> > 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.
>
>
>
> Remove -s 1920x1080 and test
>
> >
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Re: [FFmpeg-user] Error: Impossible to convert between the formats...(Nvidia codecs)

2022-07-09 Thread Dennis Mungai 
On Sat, 9 Jul 2022 at 10:25, Ben Parham  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"
>
>
> 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.



Remove -s 1920x1080 and test

>
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