Permission is hereby granted, free of charge, to any person obtaining a copyof 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.
CGAN_jittor
本项目利用Jittor 深度学习框架实现了一个 Conditional GAN（Conditional generative adversarial nets）模型。该模型在数字图片数据集 MNIST 上训练，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。由于其在易于使用的同时，提供高性能的优化等特点，同时也基于熟悉计图、推广国产框架的目的，本项目选用计图深度学习框架。
依赖安装
本项目需要安装jittor框架，并需要使用 Python 及 C++ 编译器（g++ 或 clang）。 Jittor 框架目前支持 Linux 或 Windows(包括 WSL)，具体安装教程请参考：https://cg.cs.tsinghua.edu.cn/jittor/download/
如何使用
在根目录下 python3 CGAN.py运行，最终模型生成的图片保存在 result.png中。
代码框架来源链接
本项目的代码框架来自于头歌平台举办的在线竞赛“第三届计图人工智能挑战赛”热身赛所提供的示例代码，链接为 https://www.educoder.net/competitions/Jittor-4
Copyright (c) 2023 李雨江
Permission is hereby granted, free of charge, to any person obtaining a copyof 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.