forked from Github/frigate
reduce grid size for contrast improvement (#6870)
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@@ -230,7 +230,7 @@ detect:
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# especially when using separate streams for detect and record.
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# Use this setting to make the timeline bounding boxes more closely align
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# with the recording. The value can be positive or negative.
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# TIP: Imagine there is an event clip with a person walking from left to right.
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# TIP: Imagine there is an event clip with a person walking from left to right.
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# If the event timeline bounding box is consistently to the left of the person
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# then the value should be decreased. Similarly, if a person is walking from
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# left to right and the bounding box is consistently ahead of the person
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@@ -275,7 +275,7 @@ motion:
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# Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
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# Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
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# The value should be between 1 and 255.
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threshold: 40
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threshold: 20
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# Optional: The percentage of the image used to detect lightning or other substantial changes where motion detection
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# needs to recalibrate. (default: shown below)
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# Increasing this value will make motion detection more likely to consider lightning or ir mode changes as valid motion.
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@@ -286,19 +286,19 @@ motion:
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# Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
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# make motion detection more sensitive to smaller moving objects.
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# As a rule of thumb:
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# - 15 - high sensitivity
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# - 10 - high sensitivity
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# - 30 - medium sensitivity
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# - 50 - low sensitivity
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contour_area: 15
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contour_area: 10
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# Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
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# Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
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# Low values will cause things like moving shadows to be detected as motion for longer.
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# https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
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frame_alpha: 0.02
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frame_alpha: 0.01
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# Optional: Height of the resized motion frame (default: 50)
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# Higher values will result in more granular motion detection at the expense of higher CPU usage.
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# Lower values result in less CPU, but small changes may not register as motion.
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frame_height: 50
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frame_height: 100
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# Optional: motion mask
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# NOTE: see docs for more detailed info on creating masks
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mask: 0,900,1080,900,1080,1920,0,1920
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