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71 lines
1.7 KiB
Markdown
71 lines
1.7 KiB
Markdown
---
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id: hardware_acceleration
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title: Hardware Acceleration
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---
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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
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### Raspberry Pi 3/4 (32-bit OS)
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Ensure you increase the allocated RAM for your GPU to at least 128 (raspi-config > Performance Options > GPU Memory).
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**NOTICE**: If you are using the addon, you may need to turn off `Protection mode` for hardware acceleration.
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```yaml
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ffmpeg:
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hwaccel_args:
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- -c:v
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- h264_mmal
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```
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### Raspberry Pi 3/4 (64-bit OS)
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**NOTICE**: If you are using the addon, you may need to turn off `Protection mode` for hardware acceleration.
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```yaml
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ffmpeg:
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hwaccel_args:
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- -c:v
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- h264_v4l2m2m
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```
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### Intel-based CPUs (<10th Generation) via Quicksync
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```yaml
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ffmpeg:
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hwaccel_args:
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- -hwaccel
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- vaapi
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- -hwaccel_device
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- /dev/dri/renderD128
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- -hwaccel_output_format
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- yuv420p
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```
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### Intel-based CPUs (>=10th Generation) via Quicksync
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```yaml
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ffmpeg:
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hwaccel_args:
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- -hwaccel
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- qsv
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- -qsv_device
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- /dev/dri/renderD128
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```
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### AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver
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**Note:** You also need to set `LIBVA_DRIVER_NAME=radeonsi` as an environment variable on the container.
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```yaml
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ffmpeg:
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hwaccel_args:
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- -hwaccel
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- vaapi
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- -hwaccel_device
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- /dev/dri/renderD128
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```
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### NVIDIA GPU
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NVIDIA GPU based decoding via NVDEC is supported, but requires special configuration. See the [NVIDIA NVDEC documentation](/configuration/nvdec) for more details.
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