sirius-ai/LPRNet_Pytorch
A PyTorch implementation of LPRNet, a lightweight CNN-based deep learning model for automatic license plate recognition.
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The repository provides a complete implementation of LPRNet for recognizing Chinese blue and green (new energy) license plates from images. It includes a CNN backbone with CTC (Connectionist Temporal Classification) loss for sequence recognition, pre-trained model weights, and scripts for training and testing. The model achieves 96%+ accuracy on test datasets with 1.7M parameters and sub-millisecond inference on a GTX 1060.
Frequently asked
- What is sirius-ai/LPRNet_Pytorch?
- A PyTorch implementation of LPRNet, a lightweight CNN-based deep learning model for automatic license plate recognition.
- Is LPRNet_Pytorch open source?
- Yes — sirius-ai/LPRNet_Pytorch is open source, released under the Apache-2.0 license.
- What language is LPRNet_Pytorch written in?
- sirius-ai/LPRNet_Pytorch is primarily written in Python.
- How popular is LPRNet_Pytorch?
- sirius-ai/LPRNet_Pytorch has 1.2k stars on GitHub.
- Where can I find LPRNet_Pytorch?
- sirius-ai/LPRNet_Pytorch is on GitHub at https://github.com/sirius-ai/LPRNet_Pytorch.