# BasicSR **Repository Path**: jiaolizc/BasicSR ## Basic Information - **Project Name**: BasicSR - **Description**: 开源图像和视频复原工具包(超分辨率, 去噪, 去模糊等). 目前包括: EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR 等模型. 也支持了 StyleGAN2 和 DFDNet. - **Primary Language**: Python - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: http://xinntao.gitee.io/ - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 44 - **Created**: 2022-12-18 - **Last Updated**: 2022-12-18 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

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English | 简体中文
[![LICENSE](https://img.shields.io/github/license/xinntao/basicsr.svg)](https://github.com/xinntao/BasicSR/blob/master/LICENSE.txt) [![PyPI](https://img.shields.io/pypi/v/basicsr)](https://pypi.org/project/basicsr/) [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/xinntao/BasicSR.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/xinntao/BasicSR/context:python) [![python lint](https://github.com/xinntao/BasicSR/actions/workflows/pylint.yml/badge.svg)](https://github.com/xinntao/BasicSR/blob/master/.github/workflows/pylint.yml) [![Publish-pip](https://github.com/xinntao/BasicSR/actions/workflows/publish-pip.yml/badge.svg)](https://github.com/xinntao/BasicSR/blob/master/.github/workflows/publish-pip.yml) [![gitee mirror](https://github.com/xinntao/BasicSR/actions/workflows/gitee-mirror.yml/badge.svg)](https://github.com/xinntao/BasicSR/blob/master/.github/workflows/gitee-mirror.yml) :rocket: 我们添加了 [BasicSR-Examples](https://github.com/xinntao/BasicSR-examples), 它提供了使用BasicSR的指南以及模板 (以python package的形式) :rocket: :loudspeaker: **技术交流QQ群**:**320960100**   入群答案:**互帮互助共同进步** :compass: [入群二维码](#e-mail-%E8%81%94%E7%B3%BB) (QQ、微信)    [入群指南 (腾讯文档)](https://docs.qq.com/doc/DYXBSUmxOT0xBZ05u) --- google colab logo Google Colab: [GitHub Link](colab) **|** [Google Drive Link](https://drive.google.com/drive/folders/1G_qcpvkT5ixmw5XoN6MupkOzcK1km625?usp=sharing)
:m: [模型库](docs/ModelZoo_CN.md): :arrow_double_down: 百度网盘: [预训练模型](https://pan.baidu.com/s/1R6Nc4v3cl79XPAiK0Toe7g) **|** [复现实验](https://pan.baidu.com/s/1UElD6q8sVAgn_cxeBDOlvQ) :arrow_double_down: Google Drive: [Pretrained Models](https://drive.google.com/drive/folders/15DgDtfaLASQ3iAPJEVHQF49g9msexECG?usp=sharing) **|** [Reproduced Experiments](https://drive.google.com/drive/folders/1XN4WXKJ53KQ0Cu0Yv-uCt8DZWq6uufaP?usp=sharing)
:file_folder: [数据](docs/DatasetPreparation_CN.md): :arrow_double_down: [百度网盘](https://pan.baidu.com/s/1AZDcEAFwwc1OC3KCd7EDnQ) (提取码:basr) :arrow_double_down: [Google Drive](https://drive.google.com/drive/folders/1gt5eT293esqY0yr1Anbm36EdnxWW_5oH?usp=sharing)
:chart_with_upwards_trend: [wandb的训练曲线](https://app.wandb.ai/xintao/basicsr)
:computer: [训练和测试的命令](docs/TrainTest_CN.md)
:zap: [HOWTOs](#zap-howtos) --- 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. :triangular_flag_on_post: **新的特性/更新** - :white_check_mark: Oct 5, 2021. 添加 **ECBSR 训练和测试** 代码: [ECBSR](https://github.com/xindongzhang/ECBSR). > ACMMM21: Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices - :white_check_mark: Sep 2, 2021. 添加 **SwinIR 训练和测试** 代码: [SwinIR](https://github.com/JingyunLiang/SwinIR) by [Jingyun Liang](https://github.com/JingyunLiang). 更多内容参见 [HOWTOs.md](docs/HOWTOs.md#how-to-train-swinir-sr) - :white_check_mark: Aug 5, 2021. 添加了NIQE, 它输出和MATLAB一样的结果 (both are 5.7296 for tests/data/baboon.png). - :white_check_mark: 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 - **[更多](docs/history_updates.md)** :sparkles: **使用 BasicSR 的项目** - [**Real-ESRGAN**](https://github.com/xinntao/Real-ESRGAN): 通用图像复原的实用算法 - [**GFPGAN**](https://github.com/TencentARC/GFPGAN): 真实场景人脸复原的实用算法 如果你的开源项目中使用了`BasicSR`, 欢迎联系我 ([邮件](#e-mail-%E8%81%94%E7%B3%BB)或者开一个issue/pull request)。我会将你的开源项目添加到上面的列表中 :blush: --- 如果 BasicSR 对你有所帮助,欢迎 :star: 这个仓库或推荐给你的朋友。Thanks:blush:
其他推荐的项目:
:arrow_forward: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN): 通用图像复原的实用算法
:arrow_forward: [GFPGAN](https://github.com/TencentARC/GFPGAN): 真实场景人脸复原的实用算法
:arrow_forward: [facexlib](https://github.com/xinntao/facexlib): 提供实用的人脸相关功能的集合
:arrow_forward: [HandyView](https://github.com/xinntao/HandyView): 基于PyQt5的 方便的看图比图工具
([ESRGAN](https://github.com/xinntao/ESRGAN), [EDVR](https://github.com/xinntao/EDVR), [DNI](https://github.com/xinntao/DNI), [SFTGAN](https://github.com/xinntao/SFTGAN)) ([HandyView](https://gitee.com/xinntao/HandyView), [HandyFigure](https://gitee.com/xinntao/HandyFigure), [HandyCrawler](https://gitee.com/xinntao/HandyCrawler), [HandyWriting](https://gitee.com/xinntao/HandyWriting)) --- ## :zap: HOWTOs 我们提供了简单的流程来快速上手 训练/测试/推理 模型. 这些命令并不能涵盖所有用法, 更多的细节参见下面的部分. | GAN | | | | | | | :------------------- | :------------------------------------------: | :------------------------------------------: | :------- | :--------------------------------------------: | :----------------------------------------------------: | | StyleGAN2 | [训练](docs/HOWTOs_CN.md#如何训练-StyleGAN2) | [测试](docs/HOWTOs_CN.md#如何测试-StyleGAN2) | | | | | **Face Restoration** | | | | | | | DFDNet | - | [测试](docs/HOWTOs_CN.md#如何测试-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** | | | | | | | RIDNet | - | *TODO* | CBDNet | - | *TODO* | ## :wrench: 依赖和安装 For detailed instructions refer to [docs/INSTALL.md](docs/INSTALL.md). ## :hourglass_flowing_sand: TODO 清单 参见 [project boards](https://github.com/xinntao/BasicSR/projects). ## :turtle: 数据准备 - 数据准备步骤, 参见 **[DatasetPreparation_CN.md](docs/DatasetPreparation_CN.md)**. - 目前支持的数据集 (`torch.utils.data.Dataset`类), 参见 [Datasets_CN.md](docs/Datasets_CN.md). ## :computer: 训练和测试 - **训练和测试的命令**, 参见 **[TrainTest_CN.md](docs/TrainTest_CN.md)**. - **Options/Configs**配置文件的说明, 参见 [Config_CN.md](docs/Config_CN.md). - **Logging**日志系统的说明, 参见 [Logging_CN.md](docs/Logging_CN.md). ## :european_castle: 模型库和基准 - 目前支持的模型描述, 参见 [Models_CN.md](docs/Models_CN.md). - **预训练模型和log样例**, 参见 **[ModelZoo_CN.md](docs/ModelZoo_CN.md)**. - 我们也在 [wandb](https://app.wandb.ai/xintao/basicsr) 上提供了**训练曲线**等:

## :memo: 代码库的设计和约定 参见 [DesignConvention_CN.md](docs/DesignConvention_CN.md).
下图概括了整体的框架. 每个模块更多的描述参见:
**[Datasets_CN.md](docs/Datasets_CN.md)** | **[Models_CN.md](docs/Models_CN.md)** | **[Config_CN.md](docs/Config_CN.md)** | **[Logging_CN.md](docs/Logging_CN.md)** ![overall_structure](./assets/overall_structure.png) ## :scroll: 许可 本项目使用 Apache 2.0 license.
更多关于**许可**和**致谢**, 请参见 [LICENSE](LICENSE/README.md). ## :earth_asia: 引用 如果 BasicSR 对你有帮助, 请引用BasicSR.
下面是一个 BibTex 引用条目, 它需要 `url` LaTeX package. ``` latex @misc{basicsr, author = {Xintao Wang and Liangbin Xie and Ke Yu and Kelvin C.K. Chan and Chen Change Loy and Chao Dong}, title = {{BasicSR}: Open Source Image and Video Restoration Toolbox}, howpublished = {\url{https://github.com/XPixelGroup/BasicSR}}, year = {2022} } ``` > Xintao Wang, Liangbin Xie, Ke Yu, Kelvin C.K. Chan, Chen Change Loy and Chao Dong. BasicSR: Open Source Image and Video Restoration Toolbox. , 2022. ## :e-mail: 联系 若有任何问题, 请电邮 `xintao.alpha@gmail.com`, `xintao.wang@outlook.com`.
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