25c4c7207b
I had to set the environment variable "LIBVA_DRIVER_NAME: iHD" in my docker-compose.yml for hwaccel to work. Perhaps this depends on host configuration/drivers, if it'll use i965 (default) or iHD? My CPU is Intel i3-10320.
1.9 KiB
| id | title |
|---|---|
| hardware_acceleration | Hardware Acceleration |
It is recommended to update your configuration to enable hardware accelerated decoding in ffmpeg. Depending on your system, these parameters may not be compatible. More information on hardware accelerated decoding for ffmpeg can be found here: https://trac.ffmpeg.org/wiki/HWAccelIntro
Raspberry Pi 3/4 (32-bit OS)
Ensure you increase the allocated RAM for your GPU to at least 128 (raspi-config > Performance Options > GPU Memory).
NOTICE: If you are using the addon, you may need to turn off Protection mode for hardware acceleration.
ffmpeg:
hwaccel_args:
- -c:v
- h264_mmal
Raspberry Pi 3/4 (64-bit OS)
NOTICE: If you are using the addon, you may need to turn off Protection mode for hardware acceleration.
ffmpeg:
hwaccel_args:
- -c:v
- h264_v4l2m2m
Intel-based CPUs (<10th Generation) via Quicksync
ffmpeg:
hwaccel_args:
- -hwaccel
- vaapi
- -hwaccel_device
- /dev/dri/renderD128
- -hwaccel_output_format
- yuv420p
Intel-based CPUs (>=10th Generation) via Quicksync
Note: You might also need to set LIBVA_DRIVER_NAME=iHD as an environment variable on the container. Check with vainfo inside the container to see if it works.
ffmpeg:
hwaccel_args:
- -hwaccel
- qsv
- -qsv_device
- /dev/dri/renderD128
AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver
Note: You also need to set LIBVA_DRIVER_NAME=radeonsi as an environment variable on the container.
ffmpeg:
hwaccel_args:
- -hwaccel
- vaapi
- -hwaccel_device
- /dev/dri/renderD128
NVIDIA GPU
NVIDIA GPU based decoding via NVDEC is supported, but requires special configuration. See the NVIDIA NVDEC documentation for more details.