目录
目录README.md

CGAN_Jittor_hanry19

一、目录

1.项目简介
2.环境配置
3.运行方法
4.License及引用

二、项目简介

本项目的功能是数字图片数据集 MNIST 上训练 Conditional GAN(Conditional generative adversarial nets)模型,通过输入一个随机向量 z 和额外的辅助信息 y (如类别标签),生成特定数字的图像。在给出的代码中,生成的数字为*13655841364464*

三、环境配置

1、系统要求

Ubuntu 18.04或以上

2、代码依赖

python3.7或以上,安装Jittor框架

Jittor可以通过以下方式安装:

> python3 -m pip install jittor

四、运行方法

python3 CGAN.py

License

MIT License

Copyright (c) [2023] [hanry19]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

本目录中的CGAN.py引用于第三届计图人工智能挑战赛

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A Jittor implementation of Conditional GAN (CGAN).

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