https://github.com/blakeblackshear/frigate/discussions/4375
My docker-compose
version: "3.9"
volumes:
SurveillanceVideos:
driver: local
driver_opts:
type: nfs4
o: addr=192.168.1.10,rw,noatime
device: :/volume1/SurveillanceVideos/frigate
services:
frigate:
container_name: frigate
privileged: true # this may not be necessary for all setups
restart: always
image: ghcr.io/blakeblackshear/frigate:stable
shm_size: "320mb" # update for your cameras based on calculation above
# devices:
# - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions
# - /dev/apex_0:/dev/apex_0 # passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
# - /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
deploy: # <------------- Add this section
resources:
reservations:
devices:
- driver: nvidia
#device_ids: ['0'] # this is only needed when using multiple GPUs
count: all # number of GPUs
capabilities: [gpu]
volumes:
- \\wsl$$\Ubuntu\etc\localtime:/etc/localtime:ro
- \\wsl$$\Ubuntu\home\genesys\frigate\config.yml:/config/config.yml
- \\wsl$$\Ubuntu\home\genesys\frigate\db:/db
# - \\wsl$$\Ubuntu\home\genesys\frigate\clips:/media/frigate
- SurveillanceVideos:/media/frigate
# - SurveillanceVideos:/config/config.yml
# - SurveillanceVideos:/db
- type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
target: /tmp/cache
tmpfs:
size: 1000000000
ports:
- "5000:5000"
- "8554:8554" # RTSP feeds
- "8555:8555/tcp" # WebRTC over tcp
- "8555:8555/udp" # WebRTC over udp
# environment:
# FRIGATE_MQTT_USER: video_user
# FRIGATE_MQTT_PASSWORD: wi7b6p9n8qer78n
# FRIGATE_RTSP_USER: homeassistant
# FRIGATE_RTSP_PASSWORD: O@5bPH1UNE87