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基于 Electron 的 YOLO 标签分析与整合工具 (Python CLI版)

Project description

Label Explorer

介绍

🚀 基于 Electron 的 YOLO 标签分析与整合工具

作者简介

👨‍🏫 导师

曾逸夫,从事人工智能研究与开发;主研领域:计算机视觉;YOLOv8官方开源项目代码贡献人YOLOv5官方开源项目代码贡献人YOLOv5 v6.1代码贡献人YOLOv5 v6.2代码贡献人YOLOv5 v7.0代码贡献人Gradio官方开源项目代码贡献人

✨ Github:https://github.com/Zengyf-CVer

👩‍🎓 学生

邓乙华,从事计算机视觉的研究和 JavaScript 项目的开发。

Label Studio

https://github.com/HumanSignal/label-studio

对Label Studio导出的格式进行转换

yarn add electron --dev

安装教程

# Electron版
yarn install
yarn run start

# Python CLI版
pip install label-explorer

使用教程

Python CLI

# 使用默认参数
label-explorer

# 自定义图片路径和标签路径
label-explorer -sld path/to/imgs -sid path/to/labels

# 自定义训练集和验证集比例
label-explorer -p 0.9
label-explorer -p 0.7
label-explorer -p 0.75

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