After a few minutes HA supervisor crashes

[delzear]

Describe the bug I installed Frigate NVR on monday. Configured everything, could see my 3 cameras and I was detecting objects too.

After a few hours, I notices that my HA had crashed, tried to SSH in to reboot, could not connect. The only thing I could do is unplug my RPI4 4GB. After the reboot every thing was fine. I kept an eye on it and after 5 minutes everything went down.

I had to turn off Frigate to keep my HA up and running.

Version of frigate Output from /api/version

Config file Include your full config file wrapped in triple back ticks.

  host: 192.168.x.ha
  port: 1883
  topic_prefix: frigate
  client_id: frigate
  user: user
  password: password
detectors:
  coral:
    type: edgetpu
    device: usb

cameras:
  # Name of your camera
  salon:
    ffmpeg:
      inputs:
        - path: rtsp://user:password@192.168.x.z/h264Preview_01_sub
          roles:
            - detect
            - rtmp
            - clips
            - record
    width: 640
    height: 480
    fps: 5
    clips:
      enabled: True
      objects:
        - person
      retain:
        # Required: Default retention days (default: shown below)
        default: 10
        # Optional: Per object retention days
        objects:
          person: 15
    snapshots:
      enabled: True
      bounding_box: True
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - person
      # Optional: filters to reduce false positives for specific object types
      filters:
        person:
          # Optional: minimum width*height of the bounding box for the detected object (default: 0)
          min_area: 500
          # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
          max_area: 100000
          # Optional: minimum score for the object to initiate tracking (default: shown below)
          min_score: 0.5
          # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
          threshold: 0.7
    detect:
      enabled: True
      max_disappeared: 15

  # Name of your camera
  porte:
    ffmpeg:
      inputs:
        - path: rtsp://user:password@192.168.x.y/live
          roles:
            - detect
            - rtmp
            - record
    width: 1920
    height: 1080
    fps: 5
    clips:
      enabled: True
      objects:
        - person
      retain:
        # Required: Default retention days (default: shown below)
        default: 10
        # Optional: Per object retention days
        objects:
          person: 15
    snapshots:
      enabled: True
      bounding_box: True
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - person
      # Optional: filters to reduce false positives for specific object types
      filters:
        person:
          # Optional: minimum width*height of the bounding box for the detected object (default: 0)
          min_area: 500
          # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
          max_area: 100000
          # Optional: minimum score for the object to initiate tracking (default: shown below)
          min_score: 0.5
          # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
          threshold: 0.7
    detect:
      enabled: True
      max_disappeared: 15

  # Name of your camera
  auto:
    ffmpeg:
      inputs:
        - path: rtsp://user:password@192.168.x.x/live
          roles:
            - detect
            - rtmp
            - record
    width: 1920
    height: 1080
    fps: 5
    clips:
      enabled: True
      objects:
        - person
      retain:
        # Required: Default retention days (default: shown below)
        default: 10
        # Optional: Per object retention days
        objects:
          person: 15
    snapshots:
      enabled: True
      bounding_box: True
    objects:
      # Optional: list of objects to track from labelmap.txt (default: shown below)
      track:
        - person
      # Optional: filters to reduce false positives for specific object types
      filters:
        person:
          # Optional: minimum width*height of the bounding box for the detected object (default: 0)
          min_area: 500
          # Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
          max_area: 100000
          # Optional: minimum score for the object to initiate tracking (default: shown below)
          min_score: 0.5
          # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
          threshold: 0.7
    detect:
      enabled: True
      max_disappeared: 15

Computer Hardware

• OS: Raspbian
• Install method: Addon
• Coral Version: USB
• Network Setup: Wired

Camera Info:

• Manufacturer: Wyze

• Model: Cam v2

• Resolution: 1080p

• FPS: 5

• Manufacturer: Reolink

• Model: E2

• Resolution: 480p

• FPS: 5

[asherw]

I wonder if you're pushing your pi too far. Could you monitor your cpu and memory after you turn on frigate?

[aeozyalcin]

@delzear are you still having this issue? Can you share the frigate logs?

[delzear]

@asherw No sorry I uninstalled the addon. Could not get the logs, nothing was working!

[stale[bot]]

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