LPRNet_Pytorch
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sirius-ai
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
Successful to build network! initial net weights successful! Final test Accuracy: Traceback (most recent call last): File "C:\Users\saumy\PycharmProjects\LPRNet_Pytorch-master\train_LPRNet.py", line 268, in train() File "C:\Users\saumy\PycharmProjects\LPRNet_Pytorch-master\train_LPRNet.py", line 200, in train Greedy_Decode_Eval(lprnet, test_dataset,...
Hi, How do I feed the annotation text file during training? There is no argument to feed annotation file
I saw in Readme that the img_size can not be changed. Why? My English is pretty bad - Sorry
Hey guys , i wanted to ask , how to prepare the data set ? i am not quite sure , how to label the images ? can someone explain...
Why is it that the images are normalised this way: https://github.com/sirius-ai/LPRNet_Pytorch/blob/7c976664b3f3879efabeaff59c7a117e49d5f29e/data/load_data.py#L63-L64 I thought the usual way of normalising is to minus 127.5 and divide by 127.5, so that the pixel...
May I know what are the hyperparameters that you used to get the best model (Final_LPRNet_model.pth) in ./weights? Also, why did you use RMSprop instead of Adam for the optimiser?...
Is it possible to provide the workspace folder, or should I make one myself for the training?
Thank you for your work. I have some question about the forword function in LPRNet.py. from the global_context=list() to the x = self.container(x) AS I know , do you use...
