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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