Not sure what you mean by that?
On Thu, Jan 14, 2021 at 9:15 pm, Lynne <d...@lynne.ee> wrote:
Jan 14, 2021, 21:01 by felix.leclair...@hotmail.com
<mailto:felix.leclair...@hotmail.com>:
Hey everyone!
Trying to wrap my mind around how to deal with cuda HW frames and
how to implement them.
The goal of this filter once completed will be to take in a cuda
frame, tonemap the value to a given specification using a user
requested algorithm (mobius, hable reinhard clip etc.)
This is useful because it completes (should) outperform cpu based
tonemapping by multiple 1-3 orders of magnitude depending on the gpu
used for the filter.
I've based the attached filter off of the vf_scale_cuda.cu filter.
For ease of developement, I've kept everything the same including
the name of the filter, only changing the funtion within the file.
This is very much a bodge to facilitate development. As such, for
testing, this file should replace the vf_scale_cuda.cu file in
ffmpeg/libavfilter/vf_scale_cuda.cu
FFmpeg should then be compiled as standard for cuda filters and
should be called as you would call the standard vf_scale_cuda filter.
The command would be similar to:
ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i
input.mp4 -vf scale_cuda=Source_width:Source_Height -c:a copy -c:v
h264_nvenc -b:v 5M output.mp4
The above should decode in hardware, tonemap the frame on gpu and
re-encode in hardware at a given bitrate.
will be in the freenode soon after sending this email (going to put
on another cup of coffee )
Thanks,
FelixCLC (felix__)
Caviat: Like all HW filters, how effective this is will depend on
how much overhead is faced by doing a memcpy over the pcie bus to
the gpu itself, then passing the data back once processed.
Could we not have another bitrotting tonemap implementation?
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