CGAN _ jittor

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smof - Simple Manipulation Of FASTA
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Installation
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Advanced Usage
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Updates
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- II：版本:
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CGAN _ jittor
- ⛵ 概述
- 🌠 文件结构
- 🌆 环境配置
- 📚 生成结果
- 📐 评价指标
- 🔗 参考

⛵ 概述

基于Jittor框架实现CGAN。CGAN的核心思路是将噪声与标签一起投入生成器，将真实图片与标签一起投入判别器，从而使生成器可以生成指定类别的图片。由于MLP与CNN都可以对图像信息进行提取，所以分别基于二者实现CGAN（基于CNN实现的CGAN也可以看作是DCGAN的变种）。实现的两种模型分别在MNIST与CIFAR10上进行训练和测试。

🌠 文件结构

under common version:

training(detail)
evaluate(detail)

under platform version:

two files submit to platform, which get score 0.9992 and 0.987

🌆 环境配置

python 3.8.12

安装Jittor

# 检查python版本大于等于3.8
python --version
conda install pywin32
python -m pip install jittor
python -m jittor.test.test_core
python -m jittor.test.test_example
python -m jittor.test.test_cudnn_op