Update ReadMe (#259)
* add logo * update readme * update readme * update readme * update updates * update updates * update updates * update updates * update updates * update readme * update readme * update readme * update readme
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README_CN.md
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# Real-ESRGAN
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<p align="center">
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<img src="assets/realesrgan_logo.png" height=100>
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</p>
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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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[](https://github.com/xinntao/Real-ESRGAN/releases)
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[](https://pypi.org/project/realesrgan/)
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[](https://github.com/xinntao/Real-ESRGAN/blob/master/.github/workflows/pylint.yml)
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[](https://github.com/xinntao/Real-ESRGAN/blob/master/.github/workflows/publish-pip.yml)
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[English](README.md) **|** [简体中文](README_CN.md)
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:fire: :fire: :fire: 添加了**针对动漫视频的小模型**, 更多信息在 [anime video models](docs/anime_video_model.md) 中.
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1. Real-ESRGAN的[Colab Demo](https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing) <a href="https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>.
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2. Real-ESRGAN的 **动漫视频** 的[Colab Demo](https://colab.research.google.com/drive/1yNl9ORUxxlL4N0keJa2SEPB61imPQd1B?usp=sharing) <a href="https://colab.research.google.com/drive/1yNl9ORUxxlL4N0keJa2SEPB61imPQd1B?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>.
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3. **支持Intel/AMD/Nvidia显卡**的绿色版exe文件: [Windows版](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.3.0/realesrgan-ncnn-vulkan-20211212-windows.zip) / [Linux版](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.3.0/realesrgan-ncnn-vulkan-20211212-ubuntu.zip) / [macOS版](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.3.0/realesrgan-ncnn-vulkan-20211212-macos.zip),详情请移步[这里](#便携版(绿色版)可执行文件)。NCNN的实现在 [Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan)。
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Real-ESRGAN 的目标是开发出**实用的图像修复算法**。<br>
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Real-ESRGAN 的目标是开发出**实用的图像/视频修复算法**。<br>
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我们在 ESRGAN 的基础上使用纯合成的数据来进行训练,以使其能被应用于实际的图片修复的场景(顾名思义:Real-ESRGAN)。
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:art: Real-ESRGAN 需要,也很欢迎你的贡献,如新功能、模型、bug修复、建议、维护等等。详情可以查看[CONTRIBUTING.md](CONTRIBUTING.md),所有的贡献者都会被列在[此处](README_CN.md#hugs-感谢)。
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@@ -25,17 +27,6 @@ Real-ESRGAN 的目标是开发出**实用的图像修复算法**。<br>
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:question: 常见的问题可以在[FAQ.md](FAQ.md)中找到答案。(好吧,现在还是空白的=-=||)
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:triangular_flag_on_post: **更新**
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- :white_check_mark: 添加了针对动漫视频的小模型, 更多信息在 [anime video models](docs/anime_video_model.md) 中.
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- :white_check_mark: 添加了ncnn 实现:[Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan).
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- :white_check_mark: 添加了 [*RealESRGAN_x4plus_anime_6B.pth*](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth),对二次元图片进行了优化,并减少了model的大小。详情 以及 与[waifu2x](https://github.com/nihui/waifu2x-ncnn-vulkan)的对比请查看[**anime_model.md**](docs/anime_model.md)
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- :white_check_mark: 支持用户在自己的数据上进行微调 (finetune):[详情](Training.md#Finetune-Real-ESRGAN-on-your-own-dataset)
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- :white_check_mark: 支持使用[GFPGAN](https://github.com/TencentARC/GFPGAN)**增强人脸**
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- :white_check_mark: 通过[Gradio](https://github.com/gradio-app/gradio)添加到了[Huggingface Spaces](https://huggingface.co/spaces)(一个机器学习应用的在线平台):[Gradio在线版](https://huggingface.co/spaces/akhaliq/Real-ESRGAN)。感谢[@AK391](https://github.com/AK391)
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- :white_check_mark: 支持任意比例的缩放:`--outscale`(实际上使用`LANCZOS4`来更进一步调整输出图像的尺寸)。添加了*RealESRGAN_x2plus.pth*模型
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- :white_check_mark: [推断脚本](inference_realesrgan.py)支持: 1) 分块处理**tile**; 2) 带**alpha通道**的图像; 3) **灰色**图像; 4) **16-bit**图像.
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- :white_check_mark: 训练代码已经发布,具体做法可查看:[Training.md](Training.md)。
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---
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如果 Real-ESRGAN 对你有帮助,可以给本项目一个 Star :star: ,或者推荐给你的朋友们,谢谢!:blush: <br/>
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---
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<!---------------------------------- Updates --------------------------->
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<details open>
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<summary>🚩<b>更新</b></summary>
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- ✅ 添加了针对动漫视频的小模型, 更多信息在 [anime video models](docs/anime_video_model.md) 中.
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- ✅ 添加了ncnn 实现:[Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan).
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- ✅ 添加了 [*RealESRGAN_x4plus_anime_6B.pth*](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth),对二次元图片进行了优化,并减少了model的大小。详情 以及 与[waifu2x](https://github.com/nihui/waifu2x-ncnn-vulkan)的对比请查看[**anime_model.md**](docs/anime_model.md)
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- ✅支持用户在自己的数据上进行微调 (finetune):[详情](Training.md#Finetune-Real-ESRGAN-on-your-own-dataset)
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- ✅ 支持使用[GFPGAN](https://github.com/TencentARC/GFPGAN)**增强人脸**
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- ✅ 通过[Gradio](https://github.com/gradio-app/gradio)添加到了[Huggingface Spaces](https://huggingface.co/spaces)(一个机器学习应用的在线平台):[Gradio在线版](https://huggingface.co/spaces/akhaliq/Real-ESRGAN)。感谢[@AK391](https://github.com/AK391)
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- ✅ 支持任意比例的缩放:`--outscale`(实际上使用`LANCZOS4`来更进一步调整输出图像的尺寸)。添加了*RealESRGAN_x2plus.pth*模型
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- ✅ [推断脚本](inference_realesrgan.py)支持: 1) 分块处理**tile**; 2) 带**alpha通道**的图像; 3) **灰色**图像; 4) **16-bit**图像.
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- ✅ 训练代码已经发布,具体做法可查看:[Training.md](Training.md)。
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</details>
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<!---------------------------------- Projects that use Real-ESRGAN --------------------------->
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<details open>
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<summary>🧩<b>使用Real-ESRGAN的项目</b></summary>
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如果你开发/使用/集成了Real-ESRGAN, 欢迎联系我添加 👋
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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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**易用的图形界面**
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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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</details>
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<details open>
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<summary>👀<b>Demo视频(B站)</b>👀</summary>
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- [大闹天宫片段](https://www.bilibili.com/video/BV1ja41117zb)
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</details>
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### :book: Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
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> [[论文](https://arxiv.org/abs/2107.10833)]   [项目主页]   [[YouTube 视频](https://www.youtube.com/watch?v=fxHWoDSSvSc)]   [[B站视频](https://www.bilibili.com/video/BV1H34y1m7sS/)]   [[Poster](https://xinntao.github.io/projects/RealESRGAN_src/RealESRGAN_poster.pdf)]   [[PPT](https://docs.google.com/presentation/d/1QtW6Iy8rm8rGLsJ0Ldti6kP-7Qyzy6XL/edit?usp=sharing&ouid=109799856763657548160&rtpof=true&sd=true)]<br>
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