50 lines
1.6 KiB
Markdown
50 lines
1.6 KiB
Markdown
**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.
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```yaml title="docker-compose.yml"
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version: "3.9"
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services:
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frigate:
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container_name: frigate
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privileged: true # this may not be necessary for all setups
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restart: unless-stopped
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image: blakeblackshear/frigate:stable
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shm_size: "256mb" # update for your cameras based on calculation above
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# devices:
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# - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions
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# - /dev/apex_0:/dev/apex_0 # passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux
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# - /dev/dri/renderD128 # for intel hwaccel, needs to be updated for your hardware
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volumes:
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- /etc/localtime:/etc/localtime:ro
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- /mnt/1TB_STORAGE/frigate/config.yml:/config/config.yml:ro
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- /mnt/1TB_STORAGE/frigate/media:/media/frigate
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- type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
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target: /tmp/cache
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tmpfs:
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size: 4000000000
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ports:
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- "5000:5000"
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- "1935:1935" # RTMP feeds
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environment:
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FRIGATE_RTSP_PASSWORD: ${FRIGATE_RTSP_PASSWORD}
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networks:
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docker_network:
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ipv4_address: 192.168.5.201
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mqtt:
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container_name: mqtt
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image: eclipse-mosquitto:1.6
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ports:
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- "1883:1883"
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networks:
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docker_network:
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ipv4_address: 192.168.5.202
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networks:
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docker_network:
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external: true
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```
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```yaml title=".env"
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FRIGATE_RTSP_PASSWORD=SomethingSecure101
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```
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