car_plate_detection

大作业,一个使用yolov8和ocr进行车牌识别的小web网站

https://github.com/mrshadow303/car_plate_detection

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.5%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

大作业,一个使用yolov8和ocr进行车牌识别的小web网站

Basic Info
  • Host: GitHub
  • Owner: Mrshadow303
  • Language: Python
  • Default Branch: master
  • Size: 44.4 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

README.md

车牌识别系统

这是一个基于 YOLOv8 的车牌识别系统,提供Web界面进行车牌检测和识别。

功能特点

  • 支持图片上传和车牌检测
  • 支持拖拽上传图片
  • 实时显示检测结果
  • 可视化检测框和标签
  • 显示检测置信度

项目结构

安装要求

  • Python 3.8+
  • Flask
  • OpenCV
  • Ultralytics YOLOv8
  • PaddleOCR
  • Pillow

安装步骤

需要修改app.py中的数据库连接信息

Owner

  • Name: Shadow_isnobug
  • Login: Mrshadow303
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use this software, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  - family-names: Chaurasia
    given-names: Ayush
    orcid: "https://orcid.org/0000-0002-7603-6750"
  - family-names: Qiu
    given-names: Jing
    orcid: "https://orcid.org/0000-0003-3783-7069"
  title: "YOLO by Ultralytics"
  version: 8.0.0
  # doi: 10.5281/zenodo.3908559  # TODO
  date-released: 2023-1-10
  license: AGPL-3.0
  url: "https://github.com/ultralytics/ultralytics"

GitHub Events

Total
  • Watch event: 2
  • Member event: 3
  • Push event: 4
  • Create event: 3
Last Year
  • Watch event: 2
  • Member event: 3
  • Push event: 4
  • Create event: 3