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update readme
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@@ -72,7 +72,7 @@ save_clips:
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# All labels from the model are reported over MQTT. These values are used to filter out false positives.
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# min_area (optional): minimum width*height of the bounding box for the detected object
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# max_area (optional): maximum width*height of the bounding box for the detected object
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# min_score (optional): minimum score for the object
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# min_score (optional): minimum score for the object to initiate tracking
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# threshold (optional): The minimum decimal percentage for tracked object's computed score to considered a true positive
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####################
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objects:
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@@ -183,15 +183,11 @@ cameras:
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# data related to the tracked object. This works by telling ffmpeg to write video segments to /cache
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# from the video stream without re-encoding. Clips are then created by using ffmpeg to merge segments
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# without re-encoding. The segments saved are unaltered from what frigate receives to avoid re-encoding.
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# They do not contain bounding boxes. 30 seconds of video is added to the start of the clip. These are
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# optimized to capture "false_positive" examples for improving frigate.
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# They do not contain bounding boxes. These are optimized to capture "false_positive" examples for improving frigate.
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#
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# NOTE: This will only work for camera feeds that can be copied into the mp4 container format without
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# encoding such as h264. I do not expect this to work for mjpeg streams, and it may not work for many other
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# types of streams.
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#
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# WARNING: Videos in /cache are retained until there are no ongoing events. If you are tracking cars or
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# other objects for long periods of time, the cache will continue to grow indefinitely.
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# NOTE: This feature does not work if you have "-vsync drop" configured in your input params.
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# This will only work for camera feeds that can be copied into the mp4 container format without
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# encoding such as h264. It may not work for some types of streams.
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################
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save_clips:
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enabled: False
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