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Re-organize README (#338)
* update README * upate readme * upate readme * update * update * update * update
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‎README.md

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## <div align="center"><b><a href="README.md">English</a> | <a href="README_CN.md">简体中文</a></b></div>
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<div align="center">
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👀[**Demos**](#-demos-videos) **|** 🚩[**Updates**](#-updates) **|** ⚡[**Usage**](#-quick-inference) **|** 🏰[**Model Zoo**](docs/model_zoo.md) **|** 🔧[Install](#-dependencies-and-installation) **|** 💻[Train](docs/Training.md) **|** ❓[FAQ](docs/FAQ.md) **|** 🎨[Contribution](docs/CONTRIBUTING.md)
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[![download](https://img.shields.io/github/downloads/xinntao/Real-ESRGAN/total.svg)](https://github.com/xinntao/Real-ESRGAN/releases)
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[![PyPI](https://img.shields.io/pypi/v/realesrgan)](https://pypi.org/project/realesrgan/)
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[![Open issue](https://img.shields.io/github/issues/xinntao/Real-ESRGAN)](https://github.com/xinntao/Real-ESRGAN/issues)
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[![python lint](https://github.com/xinntao/Real-ESRGAN/actions/workflows/pylint.yml/badge.svg)](https://github.com/xinntao/Real-ESRGAN/blob/master/.github/workflows/pylint.yml)
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[![Publish-pip](https://github.com/xinntao/Real-ESRGAN/actions/workflows/publish-pip.yml/badge.svg)](https://github.com/xinntao/Real-ESRGAN/blob/master/.github/workflows/publish-pip.yml)
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:fire: Update the **RealESRGAN AnimeVideo-v3** model **更新动漫视频的小模型**. Please see [[anime video models](docs/anime_video_model.md)] and [[comparisons](docs/anime_comparisons.md)] for more details.
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</div>
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🔥 **AnimeVideo-v3 model (动漫视频小模型)**. Please see [[*anime video models*](docs/anime_video_model.md)] and [[*comparisons*](docs/anime_comparisons.md)]<br>
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🔥 **RealESRGAN_x4plus_anime_6B** for anime images **(动漫插图模型)**. Please see [[*anime_model*](docs/anime_model.md)]
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1. [Colab Demo](https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing) for Real-ESRGAN | [Colab Demo](https://colab.research.google.com/drive/1yNl9ORUxxlL4N0keJa2SEPB61imPQd1B?usp=sharing) for Real-ESRGAN (**anime videos**).
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2. Portable [Windows](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-windows.zip) / [Linux](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-ubuntu.zip) / [MacOS](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-macos.zip) **executable files for Intel/AMD/Nvidia GPU**. You can find more information [here](#Portable-executable-files). The ncnn implementation is in [Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan).
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1. You can try in our website: [ARC Demo](https://arc.tencent.com/en/ai-demos/imgRestore) (now only support RealESRGAN_x4plus_anime_6B)
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1. [Colab Demo](https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing) for Real-ESRGAN **|** [Colab Demo](https://colab.research.google.com/drive/1yNl9ORUxxlL4N0keJa2SEPB61imPQd1B?usp=sharing) for Real-ESRGAN (**anime videos**)
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1. Portable [Windows](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-windows.zip) / [Linux](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-ubuntu.zip) / [MacOS](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-macos.zip) **executable files for Intel/AMD/Nvidia GPU**. You can find more information [here](#portable-executable-files-ncnn). The ncnn implementation is in [Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan)
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1. You can watch enhanced animations in [Tencent Video](https://v.qq.com/s/topic/v_child/render/fC4iyCAM.html). 欢迎观看[腾讯视频动漫修复](https://v.qq.com/s/topic/v_child/render/fC4iyCAM.html)
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Real-ESRGAN aims at developing **Practical Algorithms for General Image/Video Restoration**.<br>
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We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data.
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:art: Real-ESRGAN needs your contributions. Any contributions are welcome, such as new features/models/typo fixes/suggestions/maintenance, *etc*. See [CONTRIBUTING.md](docs/CONTRIBUTING.md). All contributors are list [here](README.md#hugs-acknowledgement).
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🌌 Thanks for your valuable feedbacks/suggestions. All the feedbacks are updated in [feedback.md](docs/feedback.md).
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:question: Frequently Asked Questions can be found in [FAQ.md](docs/FAQ.md).
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---
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:milky_way: Thanks for your valuable feedbacks/suggestions. All the feedbacks are updated in [feedback.md](docs/feedback.md).
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If Real-ESRGAN is helpful, please help to ⭐ this repo or recommend it to your friends 😊 <br>
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Other recommended projects:<br>
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▶️ [GFPGAN](https://github.com/TencentARC/GFPGAN): A practical algorithm for real-world face restoration <br>
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▶️ [BasicSR](https://github.com/xinntao/BasicSR): An open-source image and video restoration toolbox<br>
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▶️ [facexlib](https://github.com/xinntao/facexlib): A collection that provides useful face-relation functions.<br>
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▶️ [HandyView](https://github.com/xinntao/HandyView): A PyQt5-based image viewer that is handy for view and comparison <br>
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▶️ [HandyFigure](https://github.com/xinntao/HandyFigure): Open source of paper figures <br>
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If Real-ESRGAN is helpful in your photos/projects, please help to :star: this repo or recommend it to your friends. Thanks:blush: <br>
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Other recommended projects:<br>
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:arrow_forward: [GFPGAN](https://github.com/TencentARC/GFPGAN): A practical algorithm for real-world face restoration <br>
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:arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR): An open-source image and video restoration toolbox<br>
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:arrow_forward: [facexlib](https://github.com/xinntao/facexlib): A collection that provides useful face-relation functions.<br>
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:arrow_forward: [HandyView](https://github.com/xinntao/HandyView): A PyQt5-based image viewer that is handy for view and comparison. <br>
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### 📖 Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
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> [[Paper](https://arxiv.org/abs/2107.10833)] &emsp; [[YouTube Video](https://www.youtube.com/watch?v=fxHWoDSSvSc)] &emsp; [[B站讲解](https://www.bilibili.com/video/BV1H34y1m7sS/)] &emsp; [[Poster](https://xinntao.github.io/projects/RealESRGAN_src/RealESRGAN_poster.pdf)] &emsp; [[PPT slides](https://docs.google.com/presentation/d/1QtW6Iy8rm8rGLsJ0Ldti6kP-7Qyzy6XL/edit?usp=sharing&ouid=109799856763657548160&rtpof=true&sd=true)]<br>
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> [Xintao Wang](https://xinntao.github.io/), Liangbin Xie, [Chao Dong](https://scholar.google.com.hk/citations?user=OSDCB0UAAAAJ), [Ying Shan](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en) <br>
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> [Tencent ARC Lab](https://arc.tencent.com/en/ai-demos/imgRestore); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
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<p align="center">
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<img src="assets/teaser.jpg">
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</p>
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<!---------------------------------- Updates --------------------------->
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<details>
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<summary>🚩<b>Updates</b></summary>
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## 🚩 Updates
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- ✅ Update the **RealESRGAN AnimeVideo-v3** model. Please see [anime video models](docs/anime_video_model.md) and [comparisons](docs/anime_comparisons.md) for more details.
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- ✅ Add small models for anime videos. More details are in [anime video models](docs/anime_video_model.md).
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- ✅ [The inference code](inference_realesrgan.py) supports: 1) **tile** options; 2) images with **alpha channel**; 3) **gray** images; 4) **16-bit** images.
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- ✅ The training codes have been released. A detailed guide can be found in [Training.md](docs/Training.md).
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</details>
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---
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<!---------------------------------- Projects that use Real-ESRGAN --------------------------->
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<details>
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<summary>🧩<b>Projects that use Real-ESRGAN</b></summary>
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<!---------------------------------- Demo videos --------------------------->
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## 👀 Demos Videos
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&nbsp;&nbsp;&nbsp;&nbsp;👋 If you develop/use Real-ESRGAN in your projects, welcome to let me know.
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#### Bilibili
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- NCNN-Android: [RealSR-NCNN-Android](https://github.com/tumuyan/RealSR-NCNN-Android) by [tumuyan](https://github.com/tumuyan)
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- VapourSynth: [vs-realesrgan](https://github.com/HolyWu/vs-realesrgan) by [HolyWu](https://github.com/HolyWu)
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- NCNN: [Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan)
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&nbsp;&nbsp;&nbsp;&nbsp;**GUI**
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- [大闹天宫片段](https://www.bilibili.com/video/BV1ja41117zb)
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- [Anime dance cut 动漫魔性舞蹈](https://www.bilibili.com/video/BV1wY4y1L7hT/)
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- [海贼王片段](https://www.bilibili.com/video/BV1i3411L7Gy/)
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- [Waifu2x-Extension-GUI](https://github.com/AaronFeng753/Waifu2x-Extension-GUI) by [AaronFeng753](https://github.com/AaronFeng753)
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- [Squirrel-RIFE](https://github.com/Justin62628/Squirrel-RIFE) by [Justin62628](https://github.com/Justin62628)
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- [Real-GUI](https://github.com/scifx/Real-GUI) by [scifx](https://github.com/scifx)
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- [Real-ESRGAN_GUI](https://github.com/net2cn/Real-ESRGAN_GUI) by [net2cn](https://github.com/net2cn)
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- [Real-ESRGAN-EGUI](https://github.com/WGzeyu/Real-ESRGAN-EGUI) by [WGzeyu](https://github.com/WGzeyu)
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- [anime_upscaler](https://github.com/shangar21/anime_upscaler) by [shangar21](https://github.com/shangar21)
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- [RealESRGAN-GUI](https://github.com/Baiyuetribe/paper2gui/blob/main/Video%20Super%20Resolution/RealESRGAN-GUI.md) by [Baiyuetribe](https://github.com/Baiyuetribe)
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#### YouTube
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</details>
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## 🔧 Dependencies and Installation
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<!---------------------------------- Demo videos --------------------------->
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<details open>
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<summary>👀<b>Demo videos</b></summary>
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- Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
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- [PyTorch >= 1.7](https://pytorch.org/)
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- [大闹天宫片段](https://www.bilibili.com/video/BV1ja41117zb)
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### Installation
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</details>
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1. Clone repo
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### :book: Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
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```bash
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git clone https://github.com/xinntao/Real-ESRGAN.git
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cd Real-ESRGAN
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```
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> [[Paper](https://arxiv.org/abs/2107.10833)] &emsp; [Project Page] &emsp; [[YouTube Video](https://www.youtube.com/watch?v=fxHWoDSSvSc)] &emsp; [[B站讲解](https://www.bilibili.com/video/BV1H34y1m7sS/)] &emsp; [[Poster](https://xinntao.github.io/projects/RealESRGAN_src/RealESRGAN_poster.pdf)] &emsp; [[PPT slides](https://docs.google.com/presentation/d/1QtW6Iy8rm8rGLsJ0Ldti6kP-7Qyzy6XL/edit?usp=sharing&ouid=109799856763657548160&rtpof=true&sd=true)]<br>
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> [Xintao Wang](https://xinntao.github.io/), Liangbin Xie, [Chao Dong](https://scholar.google.com.hk/citations?user=OSDCB0UAAAAJ), [Ying Shan](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en) <br>
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> Tencent ARC Lab; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
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1. Install dependent packages
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<p align="center">
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<img src="assets/teaser.jpg">
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</p>
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```bash
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# Install basicsr - https://github.com/xinntao/BasicSR
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# We use BasicSR for both training and inference
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pip install basicsr
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# facexlib and gfpgan are for face enhancement
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pip install facexlib
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pip install gfpgan
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pip install -r requirements.txt
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python setup.py develop
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```
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We have provided a pretrained model (*RealESRGAN_x4plus.pth*) with upsampling X4.<br>
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**Note that RealESRGAN may still fail in some cases as the real-world degradations are really too complex.**<br>
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Moreover, it **may not** perform well on **human faces, text**, *etc*, which will be optimized later.
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<br>
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## ⚡ Quick Inference
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Real-ESRGAN will be a long-term supported project (in my current plan :smiley:). It will be continuously updated
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in my spare time.
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There are usually three ways to inference Real-ESRGAN.
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Here is a TODO list in the near future:
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1. [Online inference](#online-inference)
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1. [Portable executable files (NCNN)](#portable-executable-files-ncnn)
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1. [Python script](#python-script)
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- [ ] optimize for human faces
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- [ ] optimize for texts
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- [x] optimize for anime images
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- [ ] support more scales
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- [ ] support controllable restoration strength
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### Online inference
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If you have any good ideas or demands, please open an issue/discussion to let me know. <br>
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If you have some images that Real-ESRGAN could not well restored, please also open an issue/discussion. I will record it (but I cannot guarantee to resolve it:stuck_out_tongue:). If necessary, I will open a page to specially record these real-world cases that need to be solved, but the current technology is difficult to handle well.
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1. You can try in our website: [ARC Demo](https://arc.tencent.com/en/ai-demos/imgRestore) (now only support RealESRGAN_x4plus_anime_6B)
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1. [Colab Demo](https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing) for Real-ESRGAN **|** [Colab Demo](https://colab.research.google.com/drive/1yNl9ORUxxlL4N0keJa2SEPB61imPQd1B?usp=sharing) for Real-ESRGAN (**anime videos**).
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### Portable executable files
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### Portable executable files (NCNN)
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You can download [Windows](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-windows.zip) / [Linux](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-ubuntu.zip) / [MacOS](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesrgan-ncnn-vulkan-20220424-macos.zip) **executable files for Intel/AMD/Nvidia GPU**.
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You can use the `-n` argument for other models, for example, `./realesrgan-ncnn-vulkan.exe -i input.jpg -o output.png -n realesrnet-x4plus`
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### Usage of executable files
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#### Usage of portable executable files
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1. Please refer to [Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan#computer-usages) for more details.
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---
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## :wrench: Dependencies and Installation
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- Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
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- [PyTorch >= 1.7](https://pytorch.org/)
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### Installation
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### Python script
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#### Usage of python script
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cd Real-ESRGAN
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```
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1. You can use X4 model for **arbitrary output size** with the argument `outscale`. The program will further perform cheap resize operation after the Real-ESRGAN output.
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1. Install dependent packages
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```console
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Usage: python inference_realesrgan.py -n RealESRGAN_x4plus -i infile -o outfile [options]...
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# Install basicsr - https://github.com/xinntao/BasicSR
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# We use BasicSR for both training and inference
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pip install facexlib
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## :zap: Quick Inference
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-h show this help
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-i --input Input image or folder. Default: inputs
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-o --output Output folder. Default: results
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-n --model_name Model name. Default: RealESRGAN_x4plus
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-s, --outscale The final upsampling scale of the image. Default: 4
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--suffix Suffix of the restored image. Default: out
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-t, --tile Tile size, 0 for no tile during testing. Default: 0
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--face_enhance Whether to use GFPGAN to enhance face. Default: False
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--fp32 Use fp32 precision during inference. Default: fp16 (half precision).
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--ext Image extension. Options: auto | jpg | png, auto means using the same extension as inputs. Default: auto
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```
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#### Inference general images
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Download pre-trained models: [RealESRGAN_x4plus.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth)
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### Inference anime images
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#### Inference anime images
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### Usage of python script
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Usage: python inference_realesrgan.py -n RealESRGAN_x4plus -i infile -o outfile [options]...
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-h show this help
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-i --input Input image or folder. Default: inputs
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-o --output Output folder. Default: results
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-n --model_name Model name. Default: RealESRGAN_x4plus
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-s, --outscale The final upsampling scale of the image. Default: 4
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--suffix Suffix of the restored image. Default: out
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-t, --tile Tile size, 0 for no tile during testing. Default: 0
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--face_enhance Whether to use GFPGAN to enhance face. Default: False
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--fp32 Use fp32 precision during inference. Default: fp16 (half precision).
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--ext Image extension. Options: auto | jpg | png, auto means using the same extension as inputs. Default: auto
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```
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## :european_castle: Model Zoo
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Please see [docs/model_zoo.md](docs/model_zoo.md)
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## :computer: Training and Finetuning on your own dataset
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A detailed guide can be found in [Training.md](docs/Training.md).
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---
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## BibTeX
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date = {2021}
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}
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## :e-mail: Contact
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## 📧 Contact
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If you have any question, please email `[email protected]` or `[email protected]`.
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## :hugs: Acknowledgement
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<!---------------------------------- Projects that use Real-ESRGAN --------------------------->
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## 🧩 Projects that use Real-ESRGAN
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If you develop/use Real-ESRGAN in your projects, welcome to let me know.
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- NCNN-Android: [RealSR-NCNN-Android](https://github.com/tumuyan/RealSR-NCNN-Android) by [tumuyan](https://github.com/tumuyan)
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- VapourSynth: [vs-realesrgan](https://github.com/HolyWu/vs-realesrgan) by [HolyWu](https://github.com/HolyWu)
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- NCNN: [Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan)
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&nbsp;&nbsp;&nbsp;&nbsp;**GUI**
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- [Waifu2x-Extension-GUI](https://github.com/AaronFeng753/Waifu2x-Extension-GUI) by [AaronFeng753](https://github.com/AaronFeng753)
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- [Squirrel-RIFE](https://github.com/Justin62628/Squirrel-RIFE) by [Justin62628](https://github.com/Justin62628)
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- [Real-GUI](https://github.com/scifx/Real-GUI) by [scifx](https://github.com/scifx)
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- [Real-ESRGAN_GUI](https://github.com/net2cn/Real-ESRGAN_GUI) by [net2cn](https://github.com/net2cn)
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- [Real-ESRGAN-EGUI](https://github.com/WGzeyu/Real-ESRGAN-EGUI) by [WGzeyu](https://github.com/WGzeyu)
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- [anime_upscaler](https://github.com/shangar21/anime_upscaler) by [shangar21](https://github.com/shangar21)
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## 🤗 Acknowledgement
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Thanks for all the contributors.
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