[FFmpeg-user] Trouble transcoding with cuda
Dennis Mungai
dmngaie at gmail.com
Wed Sep 4 05:06:12 EEST 2019
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!
More information about the ffmpeg-user
mailing list