https://github.com/lissettecarlr/real-esrgan-streamlit

基于Real-ESRGAN的图片超分辨率web交互
https://github.com/lissettecarlr/real-esrgan-streamlit

image-restoration jpeg-compression pytorch real-esrgan streamlit super-resolution

Last synced: 5 days ago
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基于Real-ESRGAN的图片超分辨率web交互

• Host: GitHub
• URL: https://github.com/lissettecarlr/real-esrgan-streamlit
• Owner: lissettecarlr
• Created: 2024-11-07T01:43:09.000Z (6 days ago)
• Default Branch: main
• Last Pushed: 2024-11-07T05:49:52.000Z (6 days ago)
• Last Synced: 2024-11-07T06:30:05.878Z (6 days ago)
• Topics: image-restoration, jpeg-compression, pytorch, real-esrgan, streamlit, super-resolution
• Language: Python
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Real-ESRGAN-streamlit

基于[Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)的web交互图片超分辨率工具。

## 1 效果

![](./image/1.gif)

------------------



  

  


  原图

  


  

  


  输出图



## 2 安装

* python3.10

```bash

conda create -n SR python=3.10

conda activate SR

```

* 安装依赖

```bash

pip install torch==2.1.1 torchvision==0.16.1  --index-url https://download.pytorch.org/whl/cu118

pip install -r requirements.txt

python setup.py develop

```

## 3 模型

存放在`./weights`下

* [RealESRGAN_x4plus](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth)：X4 模型用于一般图像

* [RealESRGAN_x2plus](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth)：X2 模型用于一般图像

* [RealESRNet_x4plus](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/RealESRNet_x4plus.pth)：使用均方误差（MSE）作为损失函数，可能导致过度平滑的效果

* [RealESRGAN_x4plus_anime_6B](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth)：针对动漫图像进行了优化

## 4 使用

```bash

streamlit run web.py

```