lprnet

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

Car's plate detection and car's colour detection with YOLO5 and LPRnet

CRNN/LPRNet/STNet + CTC + CCPD

Korean car license plate recognition using LPRNet

基于 OpenCV 和 LPRNet 的车牌识别系统 (Course project for SJTU-ICE2607).

Plate reading network based on the LPRNet network written in Tensorflow 2.0

This work is an updated implementation of LPRNet for Chilean License Plates, which is an end-to-end method for Automatic License Plate Recognition without preliminary character segmentation.

Philippine license plate recognition network — Keras implementation with custom architecture modifications (Part 2 of 3 in LPH pipeline)

License plate recognition with Deep Neural Network

中国车牌识别系统

RK3568 license-plate-recognition project with YOLOv8, LPRNet, RKNN conversion, and board-side demos

Korean License Plate Recognition with Tensorflow YOLOv4 and LPRnet

基于PyQt5和深度学习(LPRNet+YOLO)的车牌检测与识别桌面应用，支持图片拖拽识别

TRI-GATE is an AI-powered automated access control system for secure vehicle entry. It combines license plate recognition, vehicle classification, and facial verification using deep learning and computer vision to ensure only authorized drivers are granted access.

This repo presents a workflow of: auto-rotate, detect and recognize non-constant length English-number sequence.

基于 STNet + LPRNet 架构完成中国车牌识别系统。

基于YOLO检测与LPRNet/OCR车牌识别系统(Pyqt5界面+源码+训练的模型pt/onnx格式+数据集)

基于改进 LPRNet 的高效车牌识别系统：从数据构建到工业部署的完整实践(包含源码+数据集(25万张)+训练模型)

High-performance Automatic License Plate Recognition (ALPR) edge deployment using YOLOv5 and LPRNet with TensorRT. Features dynamic batching, zero-copy memory, and FP16 acceleration. / 基于 YOLOv5 与 LPRNet 的高性能车牌识别边缘部署方案，支持 TensorRT 动态 Batch、零拷贝与 FP16 加速。