LPRNet_Pytorch
LPRNet_Pytorch copied to clipboard
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
除了94x24大小的所有图片都会报这个错,出什么问题了? > Traceback (most recent call last): File "test_LPRNet.py", line 176, in test() File "test_LPRNet.py", line 74, in test Greedy_Decode_Eval(lprnet, test_dataset, args) File "test_LPRNet.py", line 105, in Greedy_Decode_Eval prebs =...
Hi thank you for your great work . Can I use synthetic data for training and predict on real images ?
图片尺寸需要改成,256 * 32 共有37种字符,英文+数字+额外一种符号 字符在10~20个,lpr_max_len = 20 想知道该怎么该这个网络才能用
Hi, when i training model with custom data set, the accuracy is always 0. I modified the list of CHARS and license plate length, what could be the problem? 
test_accuracy是0.0是啥情况?
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...