Config Frigate NVR ให้ใช้งาน NVIDIA GPU ผ่าน ONNX

services:
  frigate:
    container_name: frigate
    restart: unless-stopped
    stop_grace_period: 30s
    image: ghcr.io/blakeblackshear/frigate:0.16.2-tensorrt
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    shm_size: 64mb
    cap_add:
      - CAP_PERFMON
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - ./config:/config
      - ./storage:/media/frigate
      - type: tmpfs
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ports:
      - 5000:5000
    environment:
      - TZ=Asia/Bangkok

go2rtc:
  streams:
    front_house:
      - rtsp://admin:[email protected]:554/stream1

mqtt:
  enabled: false

detectors:
  onnx:
    type: onnx

model:
  model_type: yolo-generic
  width: 320
  height: 320
  input_tensor: nchw
  input_dtype: float
  path: /config/model_cache/yolov9-s-320.onnx
  labelmap_path: /labelmap/coco-80.txt

ffmpeg:
  hwaccel_args: preset-nvidia
  input_args: preset-rtsp-restream
  output_args:
    record: preset-record-generic-audio-aac

cameras:
  front_house:
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/front_house
          roles:  
            - detect
    detect:
      enabled: true

record:
  enabled: true