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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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大佬,STN模型转onnx貌似转不了

Excuse me,how to get STN weights and what data set does it use

1)What should the filename of the dataset for training the LPRNet network look like? 2)How to solve the problem of Chinese garbled characters in the image names saved in the...

graph(%input.1 : Float(1, 3, 24, 94), %backbone.0.weight : Float(64, 3, 3, 3), %backbone.0.bias : Float(64), %backbone.1.weight : Float(64), %backbone.1.bias : Float(64), %backbone.1.running_mean : Float(64), %backbone.1.running_var : Float(64), %backbone.4.block.0.weight : Float(32,...

MTCNN中Train_Pnet.py的train_path = '../data_preprocessing/anno_store/imglist_anno_12.txt' 该文件是在哪个.py中生成的

I highly recommend adding a **license** to your repository. If it should be permissive, I suggest **MIT** or BSD-3-clause. GitHub recommends checking out this website: http://choosealicense.com

您好,请问您使用CCPD_BASE中的155k张图片训练的吗?因为我看到您的测试集的数量为45k?此外请问您有数据怎么增强操作吗,我训练之后的结果和您的相差很大。还有一个问题是我用您的权重进行测试,得到的精度非常低,这是为什么呢?

how i train this with my own dataset form scratch

Hi I am running this block of codes but the shapes I am getting for bboxes1 and bboxes2 are different. Is there a reason to this and how can I...

为什么我训练出来的权重,在用于测试的时候,什么都没有显示出来,在训练的时候验证集准确率却很高