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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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您好,我能问个问题吗,在训练数据集的时候,出现下面的情况是什么问题呢? RuntimeError: Expected tensor for argument #2 'targets' to have scalar type Int; but got torch.FloatTensor instead (while checking arguments for ctc_loss_cpu) @xuexingyu24

请问作者有研究下面两行代码不用pytorch的实现吗,比如用C/C++,python的实现? grid = F.affine_grid(theta, x.size()) x = F.grid_sample(x, grid)

I want to output the landmark, I mean those points. I notice that the class Onet in MTCNN_net.py has a return c which was commented. Does this c have any...

hello i'm running your code on windows and i'm using it for non English-language license plates(it is not Chinese either) and i managed to work around the fact that python...

您好,我看到您在LPRNet中插入了空間轉換層以提高識別精度。我想知道這個空間轉換層是如何工作的,以及它如何提高識別精度?此外,我也想了解一下在不使用空間轉換層的情況下,LPRNet的識別精度會是如何?謝謝。

Is there any reference to someone's knowledge which explains how to compute the accuracy of the LPRNet model output? I'm not interested into computing WER or CER, but an overall...