LPRNet_Pytorch

LPRNet_Pytorch

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
完全適用於中國車牌識別（Chinese License Plate Recognition）及國外車牌識別！
目前僅支持同時識別藍牌和綠牌即新能源車牌等中國車牌，但可通過擴展訓練數據或微調支持其他類型車牌及提高識別準確率！

dependencies

• pytorch >= 1.0.0
• opencv-python 3.x
• python 3.x
• imutils
• Pillow
• numpy

pretrained model

• pretrained_model

training and testing

1. prepare your datasets, image size must be 94x24.
2. base on your datsets path modify the scripts its hyperparameters --train_img_dirs or --test_img_dirs.
3. adjust other hyperparameters if need.
4. run 'python train_LPRNet.py' or 'python test_LPRNet.py'.
5. if want to show testing result, add '--show true' or '--show 1' to run command.

performance

• personal test datasets.
• include blue/green license plate.
• images are very widely.
• total test images number is 27320.

size	personal test imgs(%)	inference@gtx 1060(ms)
1.7M	96.0+	0.5-

References

1. LPRNet: License Plate Recognition via Deep Neural Networks
2. PyTorch中文文檔

postscript

If you found this useful, please give me a star, thanks!