[FFmpeg-user] Trouble transcoding with cuda

Ray Randomnic randomnicode at gmail.com
Wed Sep 4 07:38:26 EEST 2019


Hey,

Sure, any video taken by a Samsung device (such as Note or Galaxy S9 or
S10) with the HDR10+ setting will do. A sample is posted here:
http://awakeman.redirectme.net/web/testvideo/sample.mp4

Thanks.

On Tue, Sep 3, 2019 at 10:07 PM Dennis Mungai <dmngaie at gmail.com> wrote:

> On Wed, 4 Sep 2019 at 04:32, Ray Randomnic <randomnicode at gmail.com> wrote:
> >
> > Hey folks,
> >
> > I'm trying to transcode an HEVC (yuv420p10le) encoded file to H264 using
> a
> > GTX 1650 nvenc and having issues with what I assume are the pixel formats
> > conversions on hardware. My encode speed (in fps) is pretty low (see
> > below), far lower than I get when transcoding HEVC -> HEVC. ffmpeg
> version
> > is N-94578-gd6bd902599-gcff309097a+3 (on a Windows 10 OS, though I don't
> > think this is relevant). For the purposes of this experiment, let's say
> I'm
> > not concerned with lossiness with format conversions.
> >
> > I'd like to know what I'm doing wrong and what commands I can issue for
> the
> > following:
> > decode on GPU -> format conversion (if necessary) on GPU -> encode on
> GPU.
> > I might not be understanding a few concepts.
> >
> > The combination of options that I thought were available and I tried out
> > are:
> > - decoder (I mostly left this blank for auto) and encoder (always
> > h264_nvenc)
> > - hwaccel
> > - hwaccel_output_format
> > - filters (vf):
> >   - format
> >   - scale_npp (for format conversion on gpu)
> >
> > I have no idea what the options pix_fmt or other filters like colorspace
> do
> > for hardware (how is pix_fmt different from hwaccel_output_format?). At
> > this point I'm kind of stuck. Don't know how to convert formats on the
> GPU
> > (I assume the format conversion is happening on the CPU).
> >
> > Input details:
> > ffprobe input.mp4
> >
> > Stream #0:0(eng): Video: hevc (Main 10) (hvc1 / 0x31637668),
> > yuv420p10le(tv, bt2020nc/bt2020/smpte2084), 1920x1080, 24886 kb/s, SAR
> 1:1
> > DAR 16:9, 29.99 fps, ...
> >
> > Summary of various combinations (- indicates left blank):
> > test | hwaccel | hwaccel_output_format | filter (vf)              |
> > encodefps | note
> > 1    | cuda    | -                     | -                        | X
> >    | Failed
> > 2    | cuda    | cuda                  | -                        | X
> >    | Failed
> > 3    | cuda    | yuv420p               | -                        | 361
> >    | Video messed up
> > 4    | cuda    | cuda                  | format=yuv420p           | X
> >    | Failed
> > 5    | cuvid   | cuda                  | format=yuv420p           | 91
> >   | Not using GPU decode
> > 6    | cuda    | -                     | format=yuv420p           | 161
> >    | Not using GPU format conversion
> > 7    | cuvid   | -                     | format=yuv420p           | 91
> >   | Not using GPU decode
> > 8    | cuda    | -                     | scale_npp=format=yuv420p | X
> >    | Failed
> > 9    | cuda    | cuda                  | scale_npp=format=yuv420p | X
> >    | Failed
> >
> > I would expect a speed of around test 3 (without the screwed up video).
> Is
> > there any way to convert the pixel formats on the hardware without
> screwing
> > up the video? On a similar note, I'd love for someone to explain the
> > failing encodes.
> >
> > Here are the details for corresponding encodes:
> >
> >    1. ffmpeg -loglevel verbose -hwaccel cuda -i input.mp4 -c:v h264_nvenc
> >    output.mp4
> >
> >    Fails with the following:
> >
> >    [graph_1_in_0_1 @ 000001cc9670e4c0] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 000001cc8740fc00] NVDEC capabilities:
> >    [hevc @ 000001cc8740fc00] format supported: yes, max_mb_count: 262144
> >    [hevc @ 000001cc8740fc00] min_width: 144, max_width: 8192
> >    [hevc @ 000001cc8740fc00] min_height: 144, max_height: 8192
> >    [graph 0 input from stream 0:0 @ 000001cc87420840] w:1920 h:1080
> >    pixfmt:p010le tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [h264_nvenc @ 000001cc8747fbc0] Loaded Nvenc version 9.0
> >    [h264_nvenc @ 000001cc8747fbc0] Nvenc initialized successfully
> >    [h264_nvenc @ 000001cc8747fbc0] 1 CUDA capable devices found
> >    [h264_nvenc @ 000001cc8747fbc0] [ GPU #0 - < GeForce GTX 1650 > has
> >    Compute SM 7.5 ]
> >    [h264_nvenc @ 000001cc8747fbc0] 10 bit encode not supported
> >    [h264_nvenc @ 000001cc8747fbc0] No NVENC capable devices found
> >    [h264_nvenc @ 000001cc8747fbc0] Nvenc unloaded
> >    Error initializing output stream 0:0 -- Error while opening encoder
> for
> >    output stream #0:0 - maybe incorrect parameters such as bit_rate,
> rate,
> >    width or height
> >
> >    2. ffmpeg -loglevel verbose -hwaccel cuda -hwaccel_output_format cuda
> -i
> >    input.mp4 -c:v h264_nvenc output.mp4
> >
> >    Fails with the following:
> >
> >    [graph_1_in_0_1 @ 00000240b7932340] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 00000240b79e37c0] NVDEC capabilities:
> >    [hevc @ 00000240b79e37c0] format supported: yes, max_mb_count: 262144
> >    [hevc @ 00000240b79e37c0] min_width: 144, max_width: 8192
> >    [hevc @ 00000240b79e37c0] min_height: 144, max_height: 8192
> >    [graph 0 input from stream 0:0 @ 00000240b7937e00] w:1920 h:1080
> >    pixfmt:cuda tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [h264_nvenc @ 00000240b7483700] Loaded Nvenc version 9.0
> >    [h264_nvenc @ 00000240b7483700] Nvenc initialized successfully
> >    [h264_nvenc @ 00000240b7483700] 10 bit encode not supported
> >    [h264_nvenc @ 00000240b7483700] Provided device doesn't support
> required
> >    NVENC features
> >    [h264_nvenc @ 00000240b7483700] Nvenc unloaded
> >    Error initializing output stream 0:0 -- Error while opening encoder
> for
> >    output stream #0:0 - maybe incorrect parameters such as bit_rate,
> rate,
> >    width or height
> >
> >    Alright, so it seems that the hardware h264 encoder doesn't support 10
> >    bit encodes (that's coming from the decoder). So lets try changing the
> >    format:
> >
> >
> >    3. ffmpeg -loglevel verbose -hwaccel cuda -hwaccel_output_format
> yuv420p
> >    -i input.mp4 -c:v h264_nvenc output.mp4
> >
> >    Pretty decent encode at ~ 360 fps. Alas, the video is screwed up.
> Colors
> >    are weird:
> >
> >    [graph_1_in_0_1 @ 00000256c9ac7b40] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 00000256cbb737c0] NVDEC capabilities:
> >    [hevc @ 00000256cbb737c0] format supported: yes, max_mb_count: 262144
> >    [hevc @ 00000256cbb737c0] min_width: 144, max_width: 8192
> >    [hevc @ 00000256cbb737c0] min_height: 144, max_height: 8192
> >    [graph 0 input from stream 0:0 @ 00000256cbac7e00] w:1920 h:1080
> >    pixfmt:yuv420p tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [h264_nvenc @ 00000256cb693700] Loaded Nvenc version 9.0
> >    [h264_nvenc @ 00000256cb693700] Nvenc initialized successfully
> >    [h264_nvenc @ 00000256cb693700] 1 CUDA capable devices found
> >    [h264_nvenc @ 00000256cb693700] [ GPU #0 - < GeForce GTX 1650 > has
> >    Compute SM 7.5 ]
> >    [h264_nvenc @ 00000256cb693700] supports NVENC
> >
> >    Let's use a format filter to change format:
> >
> >    4. ffmpeg -loglevel verbose -hwaccel cuda -hwaccel_output_format cuda
> -i
> >    input.mp4 -vf format=yuv420p -c:v h264_nvenc output.mp4
> >
> >    Fails with the following:
> >
> >    [graph_1_in_0_1 @ 0000019390de5c80] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 00000193908675c0] NVDEC capabilities:
> >    [hevc @ 00000193908675c0] format supported: yes, max_mb_count: 262144
> >    [hevc @ 00000193908675c0] min_width: 144, max_width: 8192
> >    [hevc @ 00000193908675c0] min_height: 144, max_height: 8192
> >    [graph 0 input from stream 0:0 @ 00000193a031ee80] w:1920 h:1080
> >    pixfmt:cuda tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [auto_scaler_0 @ 00000193b7aee780] w:iw h:ih flags:'bicubic' interl:0
> >    [Parsed_format_0 @ 00000193908eee80] auto-inserting filter
> >    'auto_scaler_0' between the filter 'graph 0 input from stream 0:0'
> and the
> >    filter 'Parsed_format_0'
> >    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
> >
> >    5. ffmpeg -loglevel verbose -hwaccel cuvid -hwaccel_output_format cuda
> >    -i input.mp4 -vf format=yuv420p -c:v h264_nvenc output.mp4
> >
> >    Succeeds, but only encodes at around 91 fps, due to, I assume, not
> using
> >    GPU decoder. What is the difference between cuvid and cuda hwaccel
> (why did
> >    the previous fail and this succeed)? Here is the relevant output:
> >
> >    [graph_1_in_0_1 @ 000002152cc3cc00] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 000002152ac33700] Initializing cuvid hwaccel
> >    [AVHWFramesContext @ 000002152cc3f0c0] Pixel format 'yuv420p10le' is
> not
> >    supported
> >    [hevc @ 000002152ac33700] Error initializing a CUDA frame pool
> >    cuvid hwaccel requested for input stream #0:0, but cannot be
> initialized.
> >    [hevc @ 000002152ac33700] Error parsing NAL unit #2.
> >    [hevc @ 000002152ac79180] Could not find ref with POC 0
> >    Error while decoding stream #0:0: Operation not permitted
> >    [graph 0 input from stream 0:0 @ 000002152d638b80] w:1920 h:1080
> >    pixfmt:yuv420p10le tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [auto_scaler_0 @ 000002152ca176c0] w:iw h:ih flags:'bicubic' interl:0
> >    [Parsed_format_0 @ 000002152d3fee40] auto-inserting filter
> >    'auto_scaler_0' between the filter 'graph 0 input from stream 0:0'
> and the
> >    filter 'Parsed_format_0'
> >    [auto_scaler_0 @ 000002152ca176c0] w:1920 h:1080 fmt:yuv420p10le
> sar:1/1
> >    -> w:1920 h:1080 fmt:yuv420p sar:1/1 flags:0x4
> >    [h264_nvenc @ 000002152ac31800] Loaded Nvenc version 9.0
> >    [h264_nvenc @ 000002152ac31800] Nvenc initialized successfully
> >    [h264_nvenc @ 000002152ac31800] 1 CUDA capable devices found
> >    [h264_nvenc @ 000002152ac31800] [ GPU #0 - < GeForce GTX 1650 > has
> >    Compute SM 7.5 ]
> >    [h264_nvenc @ 000002152ac31800] supports NVENC
> >
> >    Take out hwaccel_output:
> >
> >    6. ffmpeg -loglevel verbose -hwaccel cuda -i in.mp4 -vf format=yuv420p
> >    -c:v h264_nvenc out.mp4
> >
> >    Succeeds, encodes at 161 fps (using both hardware GPU decoder and
> >    encoder, but I believe the changing of format is happening on the CPU
> >    between the two stages).
> >
> >    [graph_1_in_0_1 @ 0000025491bf2b00] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 0000025491b84900] NVDEC capabilities:
> >    [hevc @ 0000025491b84900] format supported: yes, max_mb_count: 262144
> >    [hevc @ 0000025491b84900] min_width: 144, max_width: 8192
> >    [hevc @ 0000025491b84900] min_height: 144, max_height: 8192
> >    [graph 0 input from stream 0:0 @ 0000025491c0eec0] w:1920 h:1080
> >    pixfmt:p010le tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [auto_scaler_0 @ 00000254b747cfc0] w:iw h:ih flags:'bicubic' interl:0
> >    [Parsed_format_0 @ 000002549203d840] auto-inserting filter
> >    'auto_scaler_0' between the filter 'graph 0 input from stream 0:0'
> and the
> >    filter 'Parsed_format_0'
> >    [auto_scaler_0 @ 00000254b747cfc0] w:1920 h:1080 fmt:p010le sar:1/1 ->
> >    w:1920 h:1080 fmt:yuv420p sar:1/1 flags:0x4
> >    [h264_nvenc @ 00000254920a0f40] Loaded Nvenc version 9.0
> >    [h264_nvenc @ 00000254920a0f40] Nvenc initialized successfully
> >    [h264_nvenc @ 00000254920a0f40] 1 CUDA capable devices found
> >    [h264_nvenc @ 00000254920a0f40] [ GPU #0 - < GeForce GTX 1650 > has
> >    Compute SM 7.5 ]
> >    [h264_nvenc @ 00000254920a0f40] supports NVENC
> >
> >
> >    7. ffmpeg -loglevel verbose -hwaccel cuvid -i in.mp4 -vf
> format=yuv420p
> >    -c:v h264_nvenc out.mp4
> >
> >    Only encoding on GPU, not decoding (91 fps).
> >
> >    [graph_1_in_0_1 @ 000002163875b5c0] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 00000216380c3c00] Initializing cuvid hwaccel
> >    [AVHWFramesContext @ 00000216387fc300] Pixel format 'yuv420p10le' is
> not
> >    supported
> >    [hevc @ 00000216380c3c00] Error initializing a CUDA frame pool
> >    cuvid hwaccel requested for input stream #0:0, but cannot be
> initialized.
> >    [hevc @ 00000216380c3c00] Error parsing NAL unit #2.
> >    [hevc @ 000002163813d300] Could not find ref with POC 0
> >    Error while decoding stream #0:0: Operation not permitted
> >    [graph 0 input from stream 0:0 @ 00000216387594c0] w:1920 h:1080
> >    pixfmt:yuv420p10le tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [auto_scaler_0 @ 000002164f8a0c40] w:iw h:ih flags:'bicubic' interl:0
> >    [Parsed_format_0 @ 00000216387593c0] auto-inserting filter
> >    'auto_scaler_0' between the filter 'graph 0 input from stream 0:0'
> and the
> >    filter 'Parsed_format_0'
> >    [auto_scaler_0 @ 000002164f8a0c40] w:1920 h:1080 fmt:yuv420p10le
> sar:1/1
> >    -> w:1920 h:1080 fmt:yuv420p sar:1/1 flags:0x4
> >    [h264_nvenc @ 0000021638590f40] Loaded Nvenc version 9.0
> >    [h264_nvenc @ 0000021638590f40] Nvenc initialized successfully
> >    [h264_nvenc @ 0000021638590f40] 1 CUDA capable devices found
> >    [h264_nvenc @ 0000021638590f40] [ GPU #0 - < GeForce GTX 1650 > has
> >    Compute SM 7.5 ]
> >    [h264_nvenc @ 0000021638590f40] supports NVENC
> >
> >    Lets see if I can do format conversion in the GPU (instead of GPU ->
> CPU
> >    -> GPU), by using the scale_npp filter.
> >
> >    8. ffmpeg -loglevel verbose -hwaccel cuda -i input.mp4 -vf
> >    scale_npp=format=yuv420p -c:v h264_nvenc output.mp4
> >
> >    Fails
> >
> >    [graph_1_in_0_1 @ 0000022f3001e080] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 0000022f207d7f40] NVDEC capabilities:
> >    [hevc @ 0000022f207d7f40] format supported: yes, max_mb_count: 262144
> >    [hevc @ 0000022f207d7f40] min_width: 144, max_width: 8192
> >    [hevc @ 0000022f207d7f40] min_height: 144, max_height: 8192
> >    [graph 0 input from stream 0:0 @ 0000022f3034ee80] w:1920 h:1080
> >    pixfmt:p010le tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [auto_scaler_0 @ 0000022f47b2d300] w:iw h:ih flags:'bicubic' interl:0
> >    [Parsed_scale_npp_0 @ 0000022f20c49b40] auto-inserting filter
> >    'auto_scaler_0' between the filter 'graph 0 input from stream 0:0'
> and the
> >    filter 'Parsed_scale_npp_0'
> >    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
> >
> >
> >    9. ffmpeg -loglevel verbose -hwaccel cuda -hwaccel_output_format cuda
> -i
> >    in.mp4 -vf scale_npp=format=yuv420p -c:v h264_nvenc out.mp4
> >
> >    Fails:
> >
> >    [graph_1_in_0_1 @ 00000200040adac0] tb:1/48000 samplefmt:fltp
> >    samplerate:48000 chlayout:0x3
> >    [hevc @ 00000200747b65c0] NVDEC capabilities:
> >    [hevc @ 00000200747b65c0] format supported: yes, max_mb_count: 262144
> >    [hevc @ 00000200747b65c0] min_width: 144, max_width: 8192
> >    [hevc @ 00000200747b65c0] min_height: 144, max_height: 8192
> >    [graph 0 input from stream 0:0 @ 00000200040aa8c0] w:1920 h:1080
> >    pixfmt:cuda tb:1/90000 fr:30/1 sar:1/1 sws_param:flags=2
> >    [Parsed_scale_npp_0 @ 0000020074c75b80] Unsupported input format:
> p010le
> >    [Parsed_scale_npp_0 @ 0000020074c75b80] Failed to configure output pad
> >    on Parsed_scale_npp_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'd appreciate any help or pointer in the right direction (even an
> > alternate mailing list).
>
>
> Hey there,
>
> Could you kindly provide a download link to the sample of the input
> file you're working on?
> That way we can reproduce what you're seeing here, thanks!
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