blakeblackshear.frigate/docker-compose.yml
Andrew Reiter a96a951e23
Nvidia Jetson ffmpeg + TensorRT support (#6458)
* Non-Jetson changes

Required for later commits:
- Allow base image to be overridden (and don't assume its WORKDIR)
- Ensure python3.9
- Map hwaccel decode presets as strings instead of lists
Not required:
- Fix existing documentation
- Simplify hwaccel scale logic

* Prepare for multi-arch tensorrt build

* Add tensorrt images for Jetson boards

* Add Jetson ffmpeg hwaccel

* Update docs

* Add CODEOWNERS

* CI

* Change default model from yolov7-tiny-416 to yolov7-320

In my experience the tiny models perform markedly worse without being
much faster

* fixup! Update docs
2023-07-26 05:50:41 -05:00

41 lines
1.1 KiB
YAML

version: "3"
services:
devcontainer:
container_name: frigate-devcontainer
# add groups from host for render, plugdev, video
group_add:
- "109" # render
- "110" # render
- "44" # video
- "46" # plugdev
shm_size: "256mb"
build:
context: .
dockerfile: docker/main/Dockerfile
# Use target devcontainer-trt for TensorRT dev
target: devcontainer
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]
environment:
YOLO_MODELS: yolov7-320
devices:
- /dev/bus/usb:/dev/bus/usb
# - /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
volumes:
- .:/workspace/frigate:cached
- ./web/dist:/opt/frigate/web:cached
- /etc/localtime:/etc/localtime:ro
- ./config:/config
- ./debug:/media/frigate
- /dev/bus/usb:/dev/bus/usb
mqtt:
container_name: mqtt
image: eclipse-mosquitto:1.6
ports:
- "1883:1883"