LPRNet_Pytorch Custom Training

How can we train on custom data and can we train the same model on Number Plates with multiple lines like two or three

Aug 21 '19 11:08 fadi212

if it is not chinese license plate and license plate lenth equal to 8, you should delete check(label) funtcion in LPRDataLoader.getitem;
you should modify the list of CHARS base on your license plate characters, and the filename of train/test images should be its label character;
T_length should be bigger or equal than twice max license plate lenth;
our model not support multiple lines at currenct, maybe you can merge multiple lines into one line.

Aug 21 '19 11:08 sirius-ai

2 'targets' to have scalar type Int; but got torch.cuda.FloatTensor instead (while checking arguments for ctc_loss_gpu)

Dec 26 '19 10:12 2017TJM

@2017TJM please let me know how to reproduce this issue, thanks!

Jan 09 '20 06:01 sirius-ai

Hi , im getting below error while train when i change T_length = 24, since my dataset include Indian License Plate , with single and double line license plate.

File "LPRNet_Train.py", line 94, in loss = ctc_loss(log_probs, labels, input_lengths=input_lengths, target_lengths=target_lengths) File "/home/arohi/Gunjan/Python Programming/venv/lib/python3.5/site-packages/torch/nn/modules/module.py", line 532, in call result = self.forward(*input, **kwargs) File "/home/arohi/Gunjan/Python Programming/venv/lib/python3.5/site-packages/torch/nn/modules/loss.py", line 1295, in forward self.zero_infinity) File "/home/arohi/Gunjan/Python Programming/venv/lib/python3.5/site-packages/torch/nn/functional.py", line 1781, in ctc_loss zero_infinity) RuntimeError: Expected input_lengths to have value at most 18, but got value 24 (while checking arguments for ctc_loss_cpu)

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