updates
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@ -494,14 +494,14 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Tru
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# Retain > conf
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pred = pred[pred[:, 4] > conf_thres]
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# compute conf
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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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# If none are remaining => process next image
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# If none remain process next image
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if len(pred) == 0:
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continue
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@ -528,7 +528,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Tru
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output[image_i] = pred[i]
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continue
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# Non-maximum suppression
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# All other NMS methods
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det_max = []
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cls = pred[:, -1]
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for c in cls.unique():
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