Rich-text editor with AI and shadcn/ui

Automatic License Plate Recognition library

(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 Design

High Performance Chinese License Plate Recognition Framework.

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

From Shell to Plate: Savor the Zest of Fish 🦞

Evolutionary multi-objective optimization platform

Using neural networks to build an automatic number plate recognition system

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

Easily generate cross platform Swift framework projects from the command line

License Plate Detection and Recognition in Unconstrained Scenarios

Native PHP template system

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

基于Yolov5车牌检测,更快更准.

All the industrial design files for Keychron keyboards and mice. Includes CAD models (case, plate, stabilizer, encoder, keycap) for Q, Q Pro, Q HE, K Pro, K Max, K HE, V Max, P HE series and M1–M7 mice. 100+ models. STEP/DXF/PDF formats. This project is source-available. Commercial use is strictly prohibited.

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

多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet

World generator using simulation of plates, rain shadow, erosion, etc.

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

:fire: :fire::fire:基于Python的车牌检测和识别系统：

Light-weight, logic-less, DSL-free, templates for all javascript environments!

Light-LPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99.%, Support multi-country and multilingual license plate recognition.

Android Automatic License Plate Recognition library (http://www.openalpr.com) ported for android.

Sprinkles is a boiler-plate-reduction-library for dealing with databases in android applications

LCD touchscreen for Home Automation

License Plate Recognition For Car With Python And OpenCV

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.

python opencv 车牌识别 PlateRecogntion