Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

Overview

简体中文 | English

miemiedetection

概述

miemiedetection是女装大佬咩酱基于YOLOX进行二次开发的个人检测库(使用的深度学习框架为pytorch),支持Windows、Linux系统,以女装大佬咩酱的名字命名。miemiedetection是一个不需要安装的检测库用户可以直接更改其代码改变执行逻辑,所见即所得!所以往miemiedetection里加入新的算法是一件很容易的事情(可以参考PPYOLO的写法往miemiedetection里加入新的算法)。得益于YOLOX的优秀架构,miemiedetection里的算法训练速度都非常快,数据读取不再是训练速度的瓶颈!目前miemiedetection支持YOLOX、PPYOLO、PPYOLOv2等算法,预计未来会加入更多算法,所以请大家点个star吧!

安装依赖

pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

torch版本建议1.9.1+cu102或者更高;torchvision版本建议0.10.1+cu102或者更高。

支持的算法

传送门

cv算法交流q群:645796480 但是关于仓库的疑问尽量在Issues上提,避免重复解答。

B站不定时女装: _糖蜜

知乎不定时谢邀、写文章: 咩咩2013

西瓜视频: 咩咩2013

本人微信公众号:miemie_2013

技术博客:https://blog.csdn.net/qq_27311165

AIStudio主页:asasasaaawws

欢迎在GitHub或上面的平台关注我(求粉)~

打赏

如果你觉得这个仓库对你很有帮助,可以给我打钱↓ Example 0

咩酱爱你哟!

引用

 @article{yolox2021,
  title={YOLOX: Exceeding YOLO Series in 2021},
  author={Ge, Zheng and Liu, Songtao and Wang, Feng and Li, Zeming and Sun, Jian},
  journal={arXiv preprint arXiv:2107.08430},
  year={2021}
}
Owner
为爱发电的coder,微信wer186259,q群:645796480,欢迎加入!
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