[FFmpeg-user] Trouble transcoding with cuda
Ray Randomnic
randomnicode at gmail.com
Fri Sep 6 20:10:09 EEST 2019
Hey folks, any luck with this??
On Wed, Sep 4, 2019 at 2:07 PM Ray Randomnic <randomnicode at gmail.com> wrote:
> ffmpeg version N-94578-gd6bd902599-gcff309097a+3 Copyright (c) 2000-2019
> the FFmpeg developers
> built with gcc 9.2.0 (Rev1, Built by MSYS2 project)
> configuration: --disable-autodetect --enable-amf --enable-bzlib
> --enable-cuda --enable-cuvid --enable-d3d11va --enable-dxva2 --enable-iconv
> --enable-lzma --enable-nvenc --enable-zlib --enable-sdl2 --enable-ffnvcodec
> --enable-nvdec --enable-cuda-llvm --enable-libmp3lame --enable-libopus
> --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265
> --enable-libdav1d --disable-debug --enable-fontconfig --enable-libass
> --enable-libbluray --enable-libfreetype --enable-libmfx --enable-libmysofa
> --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg
> --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora
> --enable-libtwolame --enable-libvidstab --enable-libvo-amrwbenc
> --enable-libwavpack --enable-libwebp --enable-libxml2 --enable-libzimg
> --enable-libshine --enable-gpl --enable-avisynth --enable-libxvid
> --enable-libaom --enable-libopenmpt --enable-version3 --enable-chromaprint
> --enable-decklink --enable-frei0r --enable-libbs2b --enable-libcaca
> --enable-libcdio --enable-libfdk-aac --enable-libflite --enable-libfribidi
> --enable-libgme --enable-libgsm --enable-libilbc --enable-libsvthevc
> --enable-libkvazaar --enable-libmodplug --enable-librtmp
> --enable-librubberband --enable-libssh --enable-libtesseract
> --enable-libxavs --enable-libzmq --enable-libzvbi --enable-openal
> --enable-libvmaf --enable-libcodec2 --enable-libsrt --enable-ladspa
> --enable-opencl --enable-opengl --enable-libnpp --enable-libopenh264
> --enable-openssl --extra-cflags=-fopenmp --extra-libs=-lgomp
> --extra-cflags=-DLIBTWOLAME_STATIC --extra-libs=-lstdc++
> --extra-cflags=-DLIBSSH_STATIC
> --extra-ldflags='-Wl,--allow-multiple-definition'
> --extra-cflags=-DCACA_STATIC --extra-cflags=-DMODPLUG_STATIC
> --extra-cflags=-DCHROMAPRINT_NODLL --extra-libs=-lstdc++
> --extra-cflags=-DZMQ_STATIC --extra-libs=-lpsapi
> --extra-cflags=-DLIBXML_STATIC --extra-libs=-liconv --disable-w32threads
> --extra-cflags=-DKVZ_STATIC_LIB --enable-nonfree
> --extra-cflags='-IC:/PROGRA~1/NVIDIA~2/CUDA/v10.1/include'
> --extra-ldflags='-LC:/PROGRA~1/NVIDIA~2/CUDA/v10.1/lib/x64'
> libavutil 56. 33.100 / 56. 33.100
> libavcodec 58. 55.100 / 58. 55.100
> libavformat 58. 31.101 / 58. 31.101
> libavdevice 58. 9.100 / 58. 9.100
> libavfilter 7. 58.100 / 7. 58.100
> libswscale 5. 6.100 / 5. 6.100
> libswresample 3. 6.100 / 3. 6.100
> libpostproc 55. 6.100 / 55. 6.100
> Hyper fast Audio and Video encoder
>
> On Wed, Sep 4, 2019 at 2:05 PM Ray Randomnic <randomnicode at gmail.com>
> wrote:
>
>> Link for the sample is still alive. I am able to download it. Right-click
>> and click save (or use wget or curl?)?
>> http://awakeman.redirectme.net/web/testvideo/sample.mp4
>>
>> As mentioned in the first email, the ffmpeg version is
>> N-94578-gd6bd902599-gcff309097a+3
>>
>> It's compiled from the latest source as of a week ago.
>>
>>
>>
>> On Wed, Sep 4, 2019 at 11:39 AM Dennis Mungai <dmngaie at gmail.com> wrote:
>>
>>> On Wed, 4 Sep 2019 at 07:38, Ray Randomnic <randomnicode at gmail.com>
>>> wrote:
>>> >
>>> > 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!
>>>
>>> Another thing:
>>>
>>> What version of FFmpeg are you running?
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