#数据仓库#(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Desig...
翻译 - 在不受限制的情况下，针对中国牌照的简单，灵活和准确的车牌识别项目。
#安卓#基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
#计算机科学#yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
#计算机科学#license plate detection and recognition
#计算机科学#A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate
#人脸识别#Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make prope...
#安卓#This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.
Lightweight & fast OCR models for license plate text recognition.
Fast Automatic License Plate Recognition (ALPR) framework.
#计算机科学#This is an implementation of a research paper - creating an Automatic Car License Plate Recognizer with some Computer Vision Techniques.
A pytorch implementation of a darkent trained yolov4-tiny model that can detect number plates and helmets if a number plate is detected it is passed through an OCR to recognize the number
Automatic license plate recognition for Indonesian plate (White on black)
使用ONNXRuntime部署百度飞桨开源PP-Vehicle车辆分析，包含车辆检测，识别车型和车辆颜色，车牌检测，车牌识别5个功能，不依赖PaddlePaddle就能运行，包含C++和Python两个版本的程序
#计算机科学#License plate recognition . Model training and conversion to tflite
This Cordova plugin adds support for the OpenALPR (Automatic License Plate Recognition) library, which provides support for retrieving the license plate from a picture.
🚀 딥러닝 기반 차량번호 인식 엔진
A lightweight real-time model for South Korean license plate recognition.
It is a desktop application that performs license plate recognition from vehicle photos.