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Releases: ZoneMinder/zmeventnotification

v6.1.29

31 Oct 16:28
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v6.1.29 (2023-10-31)

Full Changelog

Closed issues:

  • [Net::WebSocket::Server missing] although installed #427
  • HandleQueuedBulkIn transfer in failed. Not found: USB transfer error 5 [LibUsbDataInCallback] when multiple zm_detect.py processes are
    run at once with the edgetpu. #426
  • Eventserver only triggering for Monitor #1 #420
  • Install.sh throwing errors at the end #419
  • Bug on FCM server #415
  • zm_detect.py eats cpu with mlapi enabled #414

Merged pull requests:

v6.1.28

03 Nov 21:25
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Fixes a situation in pyzm where OpenCV 4.5.4 would error out with Yolo ZoneMinder/mlapi#44

v6.1.27

20 Jul 11:38
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  • Allows the alias tag that lets specific sets of labels be treat the same when it comes to match past detections

v6.1.26

17 Jul 09:56
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Full CHANGELOG https://github.com/pliablepixels/zmeventnotification/blob/v6.1.26/CHANGELOG.md

Key fixes:

  • Allowed custom URLs for cloud function and cloud key
  • Fixes an issue where past_det_max_diff_area was not being picked up from ml_config

v6.1.25

08 Jun 11:16
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v6.1.23

22 Apr 11:50
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  • Added support for basic authentication
  • Added support for plate recognizer parameters - see here

v6.1.22

11 Apr 12:14
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  • Fixed a situation in 6.1.21 when hook return value may be overwritten (as pipe write was added before it)

v6.1.21

10 Apr 13:55
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  • For some weird reason, pyzm had old code, not sure why. Forced an upgrade to 0.3.46. This was causing errors in match_past_detection
  • Added ability to limit # of hook processes that are spawned in zmeventnotification.ini via max_parallel_hooks

v6.1.20

09 Apr 18:48
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  • Fixes a bug in face training that resulted in no module found import error
  • Fixes a situation where an object label prefixed detection filter (example car_past_det_max_diff_area) was being misinterpreted as a polygon

v6.1.19

04 Apr 15:35
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  • match_past_detections, past_det_max_diff_area and max_detection_size (and associated label prefixes)
    need to be in the general section of ml_sequence. In the previous release they were stuffed inside each
    model sequence which lead to problems (imagine an event where snapshot and alarm had different objects and you
    were checking both. In pass 1, snapshot would match but alarm would not, so you'd see objects in alarm. In pass 2,
    alarm would match, but not snapshot and it would keep going on like this, effectively making match_past_detections
    useless. To avoid this, I am checking for match_past_detections after all matching is done)

  • You can now choose to ignore certain labels when you match past detections using ignore_past_detection_labels

  • stream_sequence now has a few new fields fields:

    • delay_between_frames. If specified, will wait for those many seconds before processing each frame.
    • delay_between_snapshots. If specified, will wait for those many seconds when processing snapshot frames.
      This allows you to do something like this: frame_set ['snapshot','snapshot','snapshot','alarm'] with a
      delay_between_snapshots:2, which means it will keep analyzing snapshot 3 times, but with 2 seconds in between, which
      lets you grab multiple snapshot frames as it changes during an event. This is really only useful for this specific case.