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@ -34,7 +34,7 @@ False positives can also be reduced by filtering a detection based on its shape.
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### Object Area
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`min_area` and `max_area` filter on the area of an objects bounding box in pixels and can be used to reduce false positives that are outside the range of expected sizes. For example when a leaf is detected as a dog or when a large tree is detected as a person, these can be reduced by adding a `min_area` / `max_area` filter.
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`min_area` and `max_area` filter on the area of an objects bounding box and can be used to reduce false positives that are outside the range of expected sizes. For example when a leaf is detected as a dog or when a large tree is detected as a person, these can be reduced by adding a `min_area` / `max_area` filter. These values can either be in pixels or as a percentage of the frame (where 0.01 represents 1% of the frame and 0.99 represents 99% of the frame).
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### Object Proportions
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@ -310,9 +310,11 @@ objects:
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# Optional: filters to reduce false positives for specific object types
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filters:
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person:
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# Optional: minimum width*height of the bounding box for the detected object (default: 0)
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# Optional: minimum size of the bounding box for the detected object (default: 0).
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# Can be specified as an integer for width*height in pixels or as a decimal representing the percentage of the frame (0.0001 to 0.99).
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min_area: 5000
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# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
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# Optional: maximum size of the bounding box for the detected object (default: 24000000).
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# Can be specified as an integer for width*height in pixels or as a decimal representing the percentage of the frame (0.0001 to 0.99).
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max_area: 100000
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# Optional: minimum width/height of the bounding box for the detected object (default: 0)
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min_ratio: 0.5
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