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yolox_easytrain's Introduction

YoloX_EasyTrain

这是一个YoloX的训练插件,通过可视化的方式管理工程,训练模型。方便,高效!适合yolox新人朋友以及重度用户,让你点点鼠标就能训练自己的YoloX模型。 更详尽的使用文档请移步公众号: DL工程实践,后台回复:yolox

测试环境

操作系统:Ubuntu16.04
pytorch:1.8.0
cuda:11.0
python:3.6
这个环境我是测试过OK的,能保证可以正常使用。

第一步:安装YoloX

按照YoloX官网的教程应该是比较顺利的,感谢YoloX官网的耐心细致的教程。

第二步:下载工程源码

从github上面下载YoloX EasyTrain的代码。通过git clone或者直接界面下载都可以。

第三步:安装YoloX EasyTrain的依赖

cd /path/to/YoloX_EasyTrain/
pip install -r requirements.txt

第四步:下载预训练模型(可选)

因为我们一般都是在自己的数据集上迁移学习,使用官方的预训练模型会快很多,因此推荐下载官方的预训练模型。从yolox的官方github上面下载。 下载完之后,将模型放到YoloX EasyTrain的weights文件夹下面。 YOLOX-s预训练模型:https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_s.pth
YOLOX-m预训练模型:https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_m.pth
YOLOX-l预训练模型:https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_l.pth
YOLOX-x预训练模型:https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_x.pth
YOLOX-nano预训练模型:https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_nano.pth
YOLOX-tiny预训练模型:https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_tiny.pth

第五步:启动插件

在命令行使用: python main_widget.py 启动YoloX EasyTrain 插件。然后就享受你的快乐时光吧。

备注

更详尽的使用文档请移步公众号: DL工程实践,后台回复:yolox
交流QQ群:552703875
演示视频,B站:https://www.bilibili.com/video/BV1gq4y1Z7tE?spm_id_from=333.999.0.0

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