License_Plate_Detection_Pytorch
License_Plate_Detection_Pytorch copied to clipboard
A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet
train
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...
https://github.com/pcb9382/PlateRecognition
https://github.com/pcb9382/PlateRecognition
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。
https://github.com/pcb9382/PlateRecognition
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...