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
Metadata
Release files for label-explorer 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| label-explorer-0.0.2.tar.gz | 18.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| label_explorer-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.0 kB
Release files / label-explorer-0.0.2.tar.gz
| Download URL | label-explorer-0.0.2.tar.gz |
|---|---|
| Size | 18.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6a99a6590741c961e42e6bfd957235c11462ec2dade15d3653890b6eee31edfa
|
|
BLAKE2b-256 checksum How to use checksums |
44b8f8dabd3f1acc6f294260b5e6ecd1a2d961d194f8fc525b1a7def459f44f7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.18
|
Release files / label_explorer-0.0.2-py3-none-any.whl
| Download URL | label_explorer-0.0.2-py3-none-any.whl |
|---|---|
| Size | 19.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d07c8d9013efc3fe3a27abd80e54b2109c5186cdc6f9911ef0d95ceca991600e
|
|
BLAKE2b-256 checksum How to use checksums |
da2e338718ff0698eaf0960694d513c0c8dfa0810993806cccd36d7bbef4891b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.18
|