updates
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@ -491,13 +491,9 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Tru
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output = [None] * len(prediction)
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for image_i, pred in enumerate(prediction):
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# Retain > conf
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# Apply conf constraint
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pred = pred[pred[:, 4] > conf_thres]
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# Compute conf
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torch.sigmoid_(pred[..., 5:])
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pred[..., 5:] *= pred[..., 4:5] # conf = obj_conf * cls_conf
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# Apply width-height constraint
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pred = pred[(pred[:, 2:4] > min_wh).all(1) & (pred[:, 2:4] < max_wh).all(1)]
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@ -505,6 +501,10 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Tru
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if len(pred) == 0:
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continue
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# Compute conf
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torch.sigmoid_(pred[..., 5:])
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pred[..., 5:] *= pred[..., 4:5] # conf = obj_conf * cls_conf
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# Box (center x, center y, width, height) to (x1, y1, x2, y2)
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box = xywh2xyxy(pred[:, :4])
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