services:
  frigate:
    image: ghcr.io/blakeblackshear/frigate:stable-tensorrt 
    privileged: true
    devices:
      - /dev/nvidia0:/dev/nvidia0
      - /dev/nvidiactl:/dev/nvidiactl
      - /dev/nvidia-uvm:/dev/nvidia-uvm
      - /dev/nvidia-uvm-tools:/dev/nvidia-uvm-tools
    container_name: frigate
    restart: unless-stopped
    privileged: true
    shm_size: 512m
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /docker/homeassistant/frigate:/config
      - /mnt/local_configs/frigate/cache:/tmp/cache
      - /pool/securitycameras:/media
    ports:
      - "5000:5000"
      - "1935:1935"
    runtime: nvidia
    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=all,video,compute
      - FRIGATE_SQLITE_PATH=/config/frigate.db
      - FRIGATE_SQLITE_JOURNAL_MODE=DELETE
      - PUID=1000
      - PGID=1000
    cpus: "2.0"
    mem_limit: "6144m"
    mem_reservation: "2048m"

services:
  frigate:
    container_name: frigate
    # Use the TensorRT image to use your 3050 for detection as well as decoding

    environment:
      - NVIDIA_VISIBLE_DEVICES=all
    # ... rest of your config (volumes, ports)