Light-LPR是一个瞄准可以在嵌入式设备、手机端和普通的x86平台上运行的车牌识别开源项目，旨在支持各种场景的车牌识别,车牌字符识别准确率超99.95%，综合识别准确率超过99%，支持目前国内所有的车牌识别，觉得好用的一定要加星哦。
works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
An open source car license plate recognition python lib based on HyperLPR; Trained OpenCV’s cascaded target detector; Used Hard Sample Mining to crop out the detected error areas;
Tensorflow based. Use CNN and CTC loss. It is a light network for Plate Recognition
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
This is code of book "Learn Deep Learning with PyTorch"
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
