sirius-ai LPRNet_Pytorch issues

sirius-ai / LPRNet_Pytorch

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

Apache License 2.0

934 stars 232 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

基于yolo的车牌检测和车牌识别，准确率99%+，可商用，还有数据集提供

#97 pcb9382 opened 2 weeks ago
0
NICE WORK!!! By the way, upgrade SmallBasicBlock and add STNet module can make better

#96 zjykzj opened 2 months ago
2
添加stn的问题 issue about adding stn

#95 Powerfulidot opened 2 months ago
4
请问这是什么错误？

#94 zengweigit opened 3 months ago
2
连号车牌无法识别

#93 lyb82n closed 4 months ago
0
12 types of license plate recognition, implemented by C++ TneosrRT, with an accuracy rate of up to 99.5%!!!

#92 pcb9382 opened 10 months ago
0
我在训练集放了3000张，测试集里面放了200张，但是我无论怎样放总会出现[Info] Test Accuracy: 0.0 [0:120:0:120]，也就是tp和tp_2总是为0，我想问一下这是为什么

#91 nanlidashi opened 10 months ago
0
Enhancement: Expanding LPRNet's Recognition Capabilities to Global License Plate Varieties

#90 yihong1120 opened 11 months ago
1
12 types of license plate recognition, implemented by C++ TneosrRT, with an accuracy rate of up to 99.5%!!!

#89 pcb9382 opened 12 months ago
0
请问一下数据集怎么标注

#88 programcj opened 1 year ago
1
train loss gets extraordinary higher sometimes

#87 jeungmin717 opened 1 year ago
0
我的loss从2、3降到0.5左右，acc从0加到0.2，然后loss开始变成负数了，很奇怪！acc也从0.2突变成0

#86 zhaojiankuan opened 1 year ago
1
Is it possible to compute the accuracy output from the LPRNet model?

#85 tscu-vid opened 1 year ago
1
数据集

#84 daijie1223 opened 1 year ago
1
Questions about format of licenseplate

#83 jeungmin717 opened 1 year ago
0
Fix opencv imread when the fpath contains Chinese

#82 ausk opened 1 year ago
1
license plate recognition

#81 ZhaoMonica opened 1 year ago
0
model.train()和model.eval()

#80 petervxy opened 1 year ago
0
图片尺寸、字符类别、最大字符数都需要改，应该怎么用？

#79 nistarlwc opened 2 years ago
1
ncnn推理，已经C++结合ncnn实现lprnet模型推理，有需要可以交流

#78 Ayers-github opened 2 years ago
7
图片名字有中文字的时候会报错no module named shape，可是改了名字之后不就没标签了吗？请问该怎么办

#77 littleloverlalala opened 2 years ago
2
Accuracy 0.0, when i training custom dataset.

#76 Lightmourne opened 2 years ago
4
test_accuracy 0.0

#75 kankanjiuzou123 opened 2 years ago
1
中途为啥test accurary为0.0啊？

#74 Vergissmeinnic opened 2 years ago
5
车牌识别商用级别数据集

#73 daijie1223 closed 2 years ago
2
数据集命名

#72 Smiler-X opened 2 years ago
0
Errors in loading state_dict (size mismatch)

#71 dubdu opened 2 years ago
3
提供50w中文车牌数据集

#70 123Vincent2018 opened 2 years ago
2
请问lprnet的输入如何改成Dims3呢

#69 OmiLiuyueyue opened 2 years ago
0
这个训练的权重是使用蓝牌数据集训练的吗？

#68 Tomhardy13 opened 2 years ago
0
请问车牌号码字符的置信度分数如何获得呢？

#67 Sunsamar opened 2 years ago
0
maxpool3d 在tensorrt中不支持

#66 leaf918 opened 2 years ago
2
Acc = Tp * 1.0 / (Tp + Tn_1 + Tn_2) ZeroDivisionError: float division by zero

#65 SUTwu opened 3 years ago
8
您好，我在测试的时候出现AttributeError: 'NoneType' object has no attribute 'shape'的问题

#64 SUTwu opened 3 years ago
10
train的那个文件中没有labels的路径吗？所以不用labels训练？

#63 frandoLin opened 3 years ago
5
ZeroDivisionError: float division by zero

#62 VSERunKNOWN opened 3 years ago
2
lose from 0.0001-->5.x

#61 wavelet2008 opened 3 years ago
1
这个模型可以识别双层车牌么？

#60 hezinan opened 3 years ago
9
train_LPRNet.py文件中的Greedy_Decode_Eval函数，使用测试集评估模型的一些问题

#59 regainOWO closed 2 years ago
0
可提供车牌黄绿蓝数据集

#58 daijie1223 opened 3 years ago
0
省份识别精度不高

#57 duorouputao opened 3 years ago
6
Error in train_LPRNet.py

#56 saumyapatel17 opened 3 years ago
1
Hi, 感谢你的贡献, 有个小问题, 怎么检测手机拍的照片呢

#55 zhoudelong opened 3 years ago
1
训练次数如何修改？

#54 luxianlebron opened 3 years ago
1
how to feed the labels/annotation of the images during training?

#53 tsan1 opened 3 years ago
1
Does input_size value (94x24) can change to other value?

#52 Tienson0907 opened 3 years ago
0
可提供数据支持

#51 daijie1223 closed 3 years ago
0
> 用预训练的模型测试所给的测试集，怎么只有0.9的正确率，再训练了自己的数据集之后就只有0.74了。。。

#50 hanrui15765510320 opened 3 years ago
4
Reduced vs basic model

#49 barrypitman opened 3 years ago
3
这是我自己加了一些字符后训练后测试的结果，简直是惨不忍睹呀！

#48 rawli closed 3 years ago
2