License_Plate_Detection_Pytorch
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A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet
can you please share your dataset structure ? thank you
在Onet中添加landmark模块,训练时landmark loss不收敛,一直在0.0024附件上下波动,预测的时候也只是四个点预测不准,有做过的大佬可以交流一下吗?
Hi, I want to filter the output of the LPRNET to just show the plates that have a recognition probability of more than 60%. How can I obtain the probability...
Just a small bug, there is no `r_model_path` in `create_mtcnn_net`. Therefore, `get_Onet_train_data.py` does not have to assign `create_mtcnn_net` with `r_model_path` anymore.
Is it possible to use different sized box for STN? It gives an exception when changing the "im = cv2.resize(img_box, (94, 24), interpolation=cv2.INTER_CUBIC)" dimensions from (94,24) to any other size...
Hello , thank you for the great repository , i have one question , i want to train on custom license plates, can you tell me how to properly label...