frigate sample config

config.yaml

mqtt:
  enabled: false

cameras:
  Office1: # <------ Name the camera
    enabled: true
    ffmpeg:
      inputs:
        - path: rtsp://username:password@192.168.10.29:554/11 # <----- The stream you want to use for detection
          roles:
            - detect
    detect:
      width: 1920
      height: 1080
      fps: 5
    objects:
      track:
        - person
        - screen
        - phone
        - keyboard
        - fan
  Office2: # <------ Name the camera
    enabled: true
    ffmpeg:
      inputs:
        - path: rtsp://username:password@192.168.10.30:554/11 # <----- The stream you want to use for detection
          roles:
            - detect
    detect:
      width: 1920
      height: 1080
      fps: 5
    objects:
      track:
        - person
        - screen
        - phone
        - keyboard
        - fan  
camera_groups:
  Office:
    order: 1
    icon: LuAirplay
    cameras:
      - Office1
      - Office2
version: 0.14
ffmpeg:
  hwaccel_args: preset-rk-h264
detectors: # required
  rknn: # required
    type: rknn # required
    # number of NPU cores to use
    # 0 means choose automatically
    # increase for better performance if you have a multicore NPU e.g. set to 3 on rk3588
    num_cores: 3

model: # required
  # name of model (will be automatically downloaded) or path to your own .rknn model file
  # possible values are:
  # - deci-fp16-yolonas_s
  # - deci-fp16-yolonas_m
  # - deci-fp16-yolonas_l
  # - /config/model_cache/your_custom_model.rknn
  path: deci-fp16-yolonas_m
  # width and height of detection frames
  width: 320
  height: 320
  # pixel format of detection frame
  # default value is rgb but yolo models usually use bgr format
  input_pixel_format: bgr # required
  # shape of detection frame
  input_tensor: nhwc
  # needs to be adjusted to model, see below
  labelmap_path: /labelmap/coco-80.txt # required