脚本使用指南
- 解压文件;
- 打开Pycharm;
- 导入本文件夹;
- 安装相关依赖;
- 运行即可。
本项目采用的是imagenet-vgg-verydeep-19这一模型,由于文件大小约为549MB,故没有上传,使用该项目脚本时可在网络资源中下载imagenet-vgg-verydeep-19并将其存放在项目目录中。该项目用于我校建校60周年纪念邮票项目之机器学习版本的开发。
作者:艾孜尔江
2020年5月1日
This project forked from ezharjan/styletransfer
This a project conducted to celebrate the 60th anniversary of the founding of BJUT by making the stamps in image-style-transfer version, by Alexander.
本项目采用的是imagenet-vgg-verydeep-19这一模型,由于文件大小约为549MB,故没有上传,使用该项目脚本时可在网络资源中下载imagenet-vgg-verydeep-19并将其存放在项目目录中。该项目用于我校建校60周年纪念邮票项目之机器学习版本的开发。
作者:艾孜尔江
2020年5月1日
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