**Purpose**: A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. ```jsx title="docker-compose.yml" version: "3.9" services: frigate: container_name: frigate privileged: true # this may not be necessary for all setups restart: unless-stopped image: blakeblackshear/frigate:stable shm_size: "256mb" # 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 volumes: - /etc/localtime:/etc/localtime:ro - /mnt/1TB_STORAGE/frigate/config.yml:/config/config.yml:ro - /mnt/1TB_STORAGE/frigate/media:/media/frigate - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear target: /tmp/cache tmpfs: size: 4000000000 ports: - "5000:5000" - "1935:1935" # RTMP feeds environment: FRIGATE_RTSP_PASSWORD: ${FRIGATE_RTSP_PASSWORD} networks: docker_network: ipv4_address: 192.168.5.201 mqtt: container_name: mqtt image: eclipse-mosquitto:1.6 ports: - "1883:1883" networks: docker_network: ipv4_address: 192.168.5.202 networks: docker_network: external: true ``` ```jsx title=".env" FRIGATE_RTSP_PASSWORD=SomethingSecure101 ```