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1.4.0 - Zones!
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@roflcoopter roflcoopter released this 12 Sep 20:39
· 1117 commits to master since this release
v1.4.0
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Learn about vigilant mode.

Changes and new Features

  • Zones are here! You can now configure zones for each camera and specify labels to track per zone.
    Here is an example:

    cameras:
  - name: name
    host: ip
    port: port
    path: /Streaming/Channels/101/
    zones:
      - name: zone1
        points:
          - x: 0
            y: 500
          - x: 1920
            y: 500
          - x: 1920
            y: 1080
          - x: 0
            y: 1080
        labels:
          - label: person
            confidence: 0.9
      - name: zone2
        points:
          - x: 0
            y: 0
          - x: 500
            y: 0
          - x: 500
            y: 500
          - x: 0
            y: 500
        labels:
          - label: cat
            confidence: 0.5

    A polygon will be drawn on the image using each point. Atleast 3 points have to be supplied.
    If you are using Home Assistant, Viseron will publish an image to the camera entity over MQTT
    with zones and objects drawn upon it.
    The drawing and publishing takes some processing power so it should only be used for debugging and tuning.

  • A boatload of new binary sensors are now created, tracking objects and zones. Checkout the README for a detailed explanation.

  • Allows a logging block to be entered per camera.

  • Logging from motion detection is now named per camera.

  • The logger for the recorder is now named per camera.

  • You can now set log level individually for motion_detection and object_detection, either globally or for each camera.

  • New config option publish_image.
    If enabled, Viseron will publish an image to the MQTT camera entity with objects and zones drawn upon it.

  • You can now specify width, height and fps individually in the camera config.

  • New config option triggers_recording for labels, if set to false, only the binary sensors in mqtt will update but no recording will start. This works on all labels configs (global object detector, per camera or per zone)

  • Recorded videos will now be saved under a specific folder per camera.

Fixes

  • TFLite is now properly installed in the generic, vaapi and cuda image for EdgeTPU support.
  • Fixed motion detection not respecting timeout.

Docker images are available on Docker Hub
roflcoopter/viseron
roflcoopter/viseron-cuda
roflcoopter/viseron-vaapi
roflcoopter/viseron-rpi

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