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@ -476,6 +476,10 @@ def non_max_suppression(prediction, conf_thres=0.25, iou_thres=0.45, classes=Non
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nc = prediction.shape[2] - 5 # number of classes
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xc = prediction[..., 4] > conf_thres # candidates
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# Checks
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assert 0 <= conf_thres <= 1, f'Invalid Confidence threshold {conf_thres}, valid values are between 0.0 and 1.0'
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assert 0 <= iou_thres <= 1, f'Invalid IoU {iou_thres}, valid values are between 0.0 and 1.0'
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# Settings
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min_wh, max_wh = 2, 4096 # (pixels) minimum and maximum box width and height
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max_det = 300 # maximum number of detections per image
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