Open caspersmit-sa opened 6 months ago
This is unfortunately possible, because FFmpeg does not implement such function. When using HW acceleration, the decoded frames are kept in CUDA memory, and only a handful of filters can handle CUDA memory. pix_fmts
filter does not support CUDA frames.
If you search _cuda
in https://ffmpeg.org/ffmpeg-filters.html, you see filters that support CUDA frames. The closest for color conversion is scale_cuda function, but the doc says The filter does not support converting between YUV and RGB pixel formats.
.
A workaround is to convert to YUV444 and do YUV->RGB conversion on PyTorch tensor, like this
🐛 Describe the bug
I'm using the following options in my streamreader:
Unfortunately I get the error
RuntimeError: Failed to configure the graph: Function not implemented
. If I remove the filter_desc option the code runs normally. For me the streamreader is not very useful if the output is not in rgb24 but in yuv444p instead. Is there a way to fix this (without moving to the nightly build), or are there any alternatives?Versions
PyTorch version: 2.1.2+cu118 Is CUDA available: True [pip3] numpy==1.24.1 [pip3] torch==2.1.2+cu118 [pip3] torchaudio==2.1.2+cu118 [pip3] torchvision==0.16.2+cu118 [pip3] triton==2.1.0