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make default motion a little more sensitive
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@ -16,7 +16,7 @@ motion:
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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: 25
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# Optional: Minimum size in pixels in the resized motion image that counts as motion (default: ~0.4% of the motion frame area)
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# Optional: Minimum size in pixels in the resized motion image that counts as motion (default: ~0.17% of the motion frame area)
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# Increasing this value will prevent smaller areas of motion from being detected. Decreasing will make motion detection more sensitive to smaller
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# moving objects.
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contour_area: 100
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@ -29,7 +29,7 @@ motion:
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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: 0.2
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# Optional: Height of the resized motion frame (default: 1/6th of the original frame height, but no less than 120)
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# Optional: Height of the resized motion frame (default: 1/6th of the original frame height, but no less than 180)
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# This operates as an efficient blur alternative. 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: 180
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@ -99,11 +99,13 @@ class RuntimeMotionConfig(MotionConfig):
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frame_shape = config.get("frame_shape", (1, 1))
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if "frame_height" not in config:
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config["frame_height"] = max(frame_shape[0] // 6, 120)
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config["frame_height"] = max(frame_shape[0] // 6, 180)
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if "contour_area" not in config:
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frame_width = frame_shape[1] * config["frame_height"] / frame_shape[0]
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config["contour_area"] = config["frame_height"] * frame_width * 0.003912363
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config["contour_area"] = (
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config["frame_height"] * frame_width * 0.00173611111
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)
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mask = config.get("mask", "")
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config["raw_mask"] = mask
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