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While if we use sortDescending=False (we use a difference measure ie we want to keep low score), the scores below that threshold are kept
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- N_object : number of best hit to return (by increasing score). Min=1, eventhough it does not really make sense to do NMS with only 1 hit
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- maxOverlap : float between 0 and 1, the maximal overlap authorised between 2 bounding boxes, above this value, the bounding box of lower score is deleted
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- sortDescending : use True when high score means better prediction, False otherwise (ex : if score is a difference measure, then the best prediction are low difference and we sort by ascending order)
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- maxOverlap : float between 0 and 1, the maximal overlap authorised between 2 bounding boxes, above this value, the bounding box of lower score is deleted
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- sortAscending : use True when low score means better prediction (Difference-based score), True otherwise (Correlation score)
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OUTPUT
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Panda DataFrame with best detection after NMS, it contains max N detection (but potentially less)
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