basicsr-1.4.0.tar.gz

<p align="center"> <img src="assets/basicsr_xpixel_logo.png" height=120> </p> ## <div align="center"><b><a href="README.md">English</a> | <a href="README_CN.md">简体中文</a></b></div> [](https://github.com/xinntao/BasicSR/blob/master/LICENSE.txt) [](https://pypi.org/project/basicsr/) [](https://lgtm.com/projects/g/xinntao/BasicSR/context:python) [](https://github.com/xinntao/BasicSR/blob/master/.github/workflows/pylint.yml) [](https://github.com/xinntao/BasicSR/blob/master/.github/workflows/publish-pip.yml) [](https://github.com/xinntao/BasicSR/blob/master/.github/workflows/gitee-mirror.yml) <div align="center"> ⚡[**HowTo**](#-HOWTOs) **|** 🔧[**Installation**](docs/INSTALL.md) **|** 💻[**Training Commands**](docs/TrainTest.md) **|** 🐢[**DatasetPrepare**](docs/DatasetPreparation.md) **|** 🏰[**Model Zoo**](docs/ModelZoo.md) 📕[**中文解读文档**](https://github.com/XPixelGroup/BasicSR-docs) **|** 📝[Introduction](docs/introduction.md) **|** <a href="https://github.com/XPixelGroup/BasicSR/tree/master/colab"><img src="https://colab.research.google.com/assets/colab-badge.svg" height="18" alt="google colab logo"></a> **|** ⏳[TODO List](https://github.com/xinntao/BasicSR/projects) **|** ❓[FAQ](docs/FAQ.md) </div> 🚀 We add [BasicSR-Examples](https://github.com/xinntao/BasicSR-examples), which provides guidance and templates of using BasicSR as a python package. 🚀 <br> 📢 **技术交流QQ群**：**320960100** &emsp; 入群答案：**互帮互助共同进步** <br> 🧭 [入群二维码](#-contact) (QQ、微信) &emsp;&emsp; [入群指南 (腾讯文档)](https://docs.qq.com/doc/DYXBSUmxOT0xBZ05u) <br> --- BasicSR (**Basic** **S**uper **R**estoration) is an open-source **image and video restoration** toolbox based on PyTorch, such as super-resolution, denoise, deblurring, JPEG artifacts removal, *etc*.<br> BasicSR (**Basic** **S**uper **R**estoration) 是一个基于 PyTorch 的开源 图像视频复原工具箱, 比如 超分辨率, 去噪, 去模糊, 去 JPEG 压缩噪声等. 🚩 **New Features/Updates** - ✅ May 9, 2022. BasicSR joins [XPixel](http://xpixel.group/). - ✅ Oct 5, 2021. Add **ECBSR training and testing** codes: [ECBSR](https://github.com/xindongzhang/ECBSR). > ACMMM21: Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices - ✅ Sep 2, 2021. Add **SwinIR training and testing** codes: [SwinIR](https://github.com/JingyunLiang/SwinIR) by [Jingyun Liang](https://github.com/JingyunLiang). More details are in [HOWTOs.md](docs/HOWTOs.md#how-to-train-swinir-sr) - ✅ Aug 5, 2021. Add NIQE, which produces the same results as MATLAB (both are 5.7296 for tests/data/baboon.png). - ✅ July 31, 2021. Add **bi-directional video super-resolution** codes: [**BasicVSR** and IconVSR](https://arxiv.org/abs/2012.02181). > CVPR21: BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond - **[More](docs/history_updates.md)** --- If BasicSR helps your research or work, please help to ⭐ this repo or recommend it to your friends. Thanks😊 <br> Other recommended projects:<br> ▶️ [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN): A practical algorithm for general image restoration<br> ▶️ [GFPGAN](https://github.com/TencentARC/GFPGAN): A practical algorithm for real-world face restoration <br> ▶️ [facexlib](https://github.com/xinntao/facexlib): A collection that provides useful face-relation functions.<br> ▶️ [HandyView](https://github.com/xinntao/HandyView): A PyQt5-based image viewer that is handy for view and comparison. <br> ▶️ [HandyFigure](https://github.com/xinntao/HandyFigure): Open source of paper figures <br> _{([ESRGAN](https://github.com/xinntao/ESRGAN), [EDVR](https://github.com/xinntao/EDVR), [DNI](https://github.com/xinntao/DNI), [SFTGAN](https://github.com/xinntao/SFTGAN))} _{([HandyCrawler](https://github.com/xinntao/HandyCrawler), [HandyWriting](https://github.com/xinntao/HandyWriting))} --- ## ⚡ HOWTOs We provide simple pipelines to train/test/inference models for a quick start. These pipelines/commands cannot cover all the cases and more details are in the following sections. | GAN | | | | | | | :------------------- | :--------------------------------------------: | :----------------------------------------------------: | :------- | :--------------------------------------------: | :----------------------------------------------------: | | StyleGAN2 | [Train](docs/HOWTOs.md#How-to-train-StyleGAN2) | [Inference](docs/HOWTOs.md#How-to-inference-StyleGAN2) | | | | | **Face Restoration** | | | | | | | DFDNet | - | [Inference](docs/HOWTOs.md#How-to-inference-DFDNet) | | | | | **Super Resolution** | | | | | | | ESRGAN | *TODO* | *TODO* | SRGAN | *TODO* | *TODO* | | EDSR | *TODO* | *TODO* | SRResNet | *TODO* | *TODO* | | RCAN | *TODO* | *TODO* | SwinIR | [Train](docs/HOWTOs.md#how-to-train-swinir-sr) | [Inference](docs/HOWTOs.md#how-to-inference-swinir-sr) | | EDVR | *TODO* | *TODO* | DUF | - | *TODO* | | BasicVSR | *TODO* | *TODO* | TOF | - | *TODO* | | **Deblurring** | | | | | | | DeblurGANv2 | - | *TODO* | | | | | **Denoise** |