Github项目推荐 | GAN评估指标的Tensorflow简单实现

AI研习社

发布于 2019-05-08 16:17:59

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发布于 2019-05-08 16:17:59

文章被收录于专栏：AI研习社AI研习社

GAN_Metrics-Tensorflow

简单的GAN评估指标的Tensorflow实现

Inception score
Frechet-Inception distance
Kernel-Inception distance

Github项目地址：

https://github.com/taki0112/GAN_Metrics-Tensorflow

摘要

Name - 名称	Description - 描述	Performance score - 评分
Inception score	KL-Divergence between conditional and marginal label distributions over generated data KL-散度上条件和边缘标签分布在生成数据上的差异。	Higher is better评分越高越好
Frechet-Inception distance	Wasserstein-2 distance between multi-variate Gaussians fitted to data embedded into a feature space 多变量高斯函数之间的Wasserstein-2距离，适用于嵌入到特征空间中的数据。	Lower is better.评分越低越好
Kernel-Inception distance	Measures the dissimilarity between two probability distributions Pr and Pg using samples drawn independently from each distribution 使用独立于每个分布绘制的样本测量两个概率分布Pr和Pg之间的差异。	Lower is better.评分越低越好

使用


├── real_source 
    ├── aaa.png
    ├── bbb.jpg
├── real_target 
    ├── ccc.png
    ├── ddd.jpg
├── fake 
    ├── ccc_fake.png
    ├── ddd_fake.jpg
├── main.py
├── inception_score.py
└── frechet_kernel_Inception_distance.py