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test.py
4
test.py
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@ -88,8 +88,8 @@ def test(cfg,
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if hasattr(model, 'hyp'): # if model has loss hyperparameters
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loss += compute_loss(train_out, targets, model)[1][:3].cpu() # GIoU, obj, cls
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# Run NMS
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output = non_max_suppression(inf_out, conf_thres=conf_thres, nms_thres=nms_thres)
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# Run NMS
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output = non_max_suppression(inf_out, conf_thres=conf_thres, nms_thres=nms_thres)
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# Statistics per image
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for si, pred in enumerate(output):
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