mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-12-29 00:06:19 +01:00
106 lines
4.7 KiB
Markdown
106 lines
4.7 KiB
Markdown
# nVidia hardware decoder (NVDEC)
|
|
|
|
Certain nvidia cards include a hardware decoder, which can greatly improve the
|
|
performance of video decoding. In order to use NVDEC, a special build of
|
|
ffmpeg with NVDEC support is required. The special docker architecture 'amd64nvidia'
|
|
includes this support for amd64 platforms. An aarch64 for the Jetson, which
|
|
also includes NVDEC may be added in the future.
|
|
|
|
## Docker setup
|
|
|
|
### Requirements
|
|
[nVidia closed source driver](https://www.nvidia.com/en-us/drivers/unix/) required to access NVDEC.
|
|
[nvidia-docker](https://github.com/NVIDIA/nvidia-docker) required to pass NVDEC to docker.
|
|
|
|
### Setting up docker-compose
|
|
|
|
In order to pass NVDEC, the docker engine must be set to `nvidia` and the environment variables
|
|
`NVIDIA_VISIBLE_DEVICES=all` and `NVIDIA_DRIVER_CAPABILITIES=compute,utility,video` must be set.
|
|
|
|
In a docker compose file, these lines need to be set:
|
|
```
|
|
services:
|
|
frigate:
|
|
...
|
|
image: blakeblackshear/frigate:stable-amd64nvidia
|
|
runtime: nvidia
|
|
environment:
|
|
- NVIDIA_VISIBLE_DEVICES=all
|
|
- NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
|
|
```
|
|
|
|
### Setting up the configuration file
|
|
|
|
In your frigate config.yml, you'll need to set ffmpeg to use the hardware decoder.
|
|
The decoder you choose will depend on the input video.
|
|
|
|
A list of supported codecs (you can use `ffmpeg -decoders | grep cuvid` in the container to get a list)
|
|
```
|
|
V..... h263_cuvid Nvidia CUVID H263 decoder (codec h263)
|
|
V..... h264_cuvid Nvidia CUVID H264 decoder (codec h264)
|
|
V..... hevc_cuvid Nvidia CUVID HEVC decoder (codec hevc)
|
|
V..... mjpeg_cuvid Nvidia CUVID MJPEG decoder (codec mjpeg)
|
|
V..... mpeg1_cuvid Nvidia CUVID MPEG1VIDEO decoder (codec mpeg1video)
|
|
V..... mpeg2_cuvid Nvidia CUVID MPEG2VIDEO decoder (codec mpeg2video)
|
|
V..... mpeg4_cuvid Nvidia CUVID MPEG4 decoder (codec mpeg4)
|
|
V..... vc1_cuvid Nvidia CUVID VC1 decoder (codec vc1)
|
|
V..... vp8_cuvid Nvidia CUVID VP8 decoder (codec vp8)
|
|
V..... vp9_cuvid Nvidia CUVID VP9 decoder (codec vp9)
|
|
```
|
|
|
|
For example, for H265 video (hevc), you'll select `hevc_cuvid`. Add
|
|
`-c:v hevc_covid` to your ffmpeg input arguments:
|
|
|
|
```
|
|
ffmpeg:
|
|
input_args:
|
|
...
|
|
- -c:v
|
|
- hevc_cuvid
|
|
```
|
|
|
|
If everything is working correctly, you should see a significant improvement in performance.
|
|
Verify that hardware decoding is working by running `nvidia-smi`, which should show the ffmpeg
|
|
processes:
|
|
|
|
```
|
|
+-----------------------------------------------------------------------------+
|
|
| NVIDIA-SMI 455.38 Driver Version: 455.38 CUDA Version: 11.1 |
|
|
|-------------------------------+----------------------+----------------------+
|
|
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
|
|
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|
|
| | | MIG M. |
|
|
|===============================+======================+======================|
|
|
| 0 GeForce GTX 166... Off | 00000000:03:00.0 Off | N/A |
|
|
| 38% 41C P2 36W / 125W | 2082MiB / 5942MiB | 5% Default |
|
|
| | | N/A |
|
|
+-------------------------------+----------------------+----------------------+
|
|
|
|
+-----------------------------------------------------------------------------+
|
|
| Processes: |
|
|
| GPU GI CI PID Type Process name GPU Memory |
|
|
| ID ID Usage |
|
|
|=============================================================================|
|
|
| 0 N/A N/A 12737 C ffmpeg 249MiB |
|
|
| 0 N/A N/A 12751 C ffmpeg 249MiB |
|
|
| 0 N/A N/A 12772 C ffmpeg 249MiB |
|
|
| 0 N/A N/A 12775 C ffmpeg 249MiB |
|
|
| 0 N/A N/A 12800 C ffmpeg 249MiB |
|
|
| 0 N/A N/A 12811 C ffmpeg 417MiB |
|
|
| 0 N/A N/A 12827 C ffmpeg 417MiB |
|
|
+-----------------------------------------------------------------------------+
|
|
```
|
|
|
|
To further improve performance, you can set ffmpeg to skip frames in the output,
|
|
using the fps filter:
|
|
|
|
```
|
|
output_args:
|
|
- -filter:v
|
|
- fps=fps=5
|
|
```
|
|
|
|
This setting, for example, allows Frigate to consume my 10-15fps camera streams on
|
|
my relatively low powered Haswell machine with relatively low cpu usage.
|
|
|