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A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

Results 45 License_Plate_Detection_Pytorch issues
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加载自己训练的stn权重发现车牌并没有矫正,加载作者原有的权重车牌得到有效矫正,有大佬遇到这种情况吗?

加载自己训练的stn权重发现车牌并没有矫正,加载作者原有的,车牌得到了有效矫正,有大佬遇到这种情况吗?

Traceback (most recent call last): File "D:\火狐下载\License_Plate_Detection_Pytorch-master\License_Plate_Detection_Pytorch-master\mtcnn\preprocessing\get_Onet_train_data.py", line 61, in bboxes = create_mtcnn_net(image, 50, device, p_model_path=None, r_model_path=None,o_model_path='../weights/onet_Weights') TypeError: create_mtcnn_net() got an unexpected keyword argument 'r_model_path' _当我把这个r_model_path删了之后,又会报出: Traceback (most recent call...

Can the code be used?