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| <a href="https://socialify.git.ci/Tohrusky/Final2x/image?description=1&forks=1&issues=1&language=1&logo=https%3A%2F%2Fraw.githubusercontent.com%2FTohrusky%2FTohrusky%2Fmain%2Ficon%2Flogo.png&name=1&pattern=Circuit%20Board&pulls=1&stargazers=1&theme=Light"> | ||
| <picture> | ||
| <source media="(prefers-color-scheme: dark)" srcset="https://socialify.git.ci/Tohrusky/Final2x/image?description=1&forks=1&issues=1&language=1&logo=https%3A%2F%2Fraw.githubusercontent.com%2FTohrusky%2FTohrusky%2Fmain%2Ficon%2Flogo-dark.png&name=1&pattern=Circuit%20Board&pulls=1&stargazers=1&theme=Dark" /> | ||
| <source media="(prefers-color-scheme: light)" srcset="https://socialify.git.ci/Tohrusky/Final2x/image?description=1&forks=1&issues=1&language=1&logo=https%3A%2F%2Fraw.githubusercontent.com%2FTohrusky%2FTohrusky%2Fmain%2Ficon%2Flogo.png&name=1&pattern=Circuit%20Board&pulls=1&stargazers=1&theme=Light" /> | ||
| <img alt="Socialify Image" src="https://socialify.git.ci/Tohrusky/Final2x/image?description=1&forks=1&issues=1&language=1&logo=https%3A%2F%2Fraw.githubusercontent.com%2FTohrusky%2FTohrusky%2Fmain%2Ficon%2Flogo.png&name=1&pattern=Circuit%20Board&pulls=1&stargazers=1&theme=Light" /> | ||
| </picture> | ||
| </a> | ||
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| <h3 align="center"> Enhance Your Images with Effortless Cross-Platform Super-Resolution at Any Scale </h3> | ||
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| [](https://codecov.io/gh/Tohrusky/Final2x) | ||
| [](https://github.com/Tohrusky/Final2x/actions/workflows/CI-Test.yml) | ||
| [](https://github.com/Tohrusky/Final2x/actions/workflows/CI-Build.yml) | ||
| [](https://github.com/Tohrusky/Final2x/actions/workflows/Release.yml) | ||
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| Final2x 可以使用多个模型，将图像超分辨率到任意大小，以提高图像的分辨率和质量，如获得更清晰和丰富的纹理。目前，它支持以下几个模型：RealCUGAN、RealESRGAN 及 Waifu2x。 | ||
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| - News🎉: 想超分辨率处理视频吗？试试 [FinalRip](https://github.com/TensoRaws/FinalRip)! | ||
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| ## [文档](https://final2x.tohru.top/zh) | ||
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| ## 图片对比 | ||
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| <div align="center"> | ||
| <img src="https://s2.loli.net/2023/07/20/hWi4U6BNeqau3MF.png" /> | ||
| </div> | ||
| <h5 align="center"> 使用 Final2x 对一张 256x256 带透明通道的 胡桃 图进行 4 倍超分辨率处理 </h5> | ||
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| ## 应用截图 | ||
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| <div align=center> | ||
| <a href="https://sm.ms/image/2QdtWyTe9DbOxJS" target="_blank"><img src="https://s2.loli.net/2023/09/19/2QdtWyTe9DbOxJS.png" width="40%"></a> | ||
| <a href="https://sm.ms/image/BhQKM2751vAGNDP" target="_blank"><img src="https://s2.loli.net/2023/09/19/BhQKM2751vAGNDP.png" width="40%"></a> | ||
| </div> | ||
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| ## 安装 | ||
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| #### [在这里下载最新的版本。](https://github.com/Tohrusky/Final2x/releases) | ||
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| ### Windows | ||
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| 点击即可使用，此外你也可以通过包管理器来安装、更新。 | ||
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| #### winget | ||
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| ```bash | ||
| winget install Final2x | ||
| ``` | ||
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| ### MacOS | ||
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| ```bash | ||
| sudo spctl --master-disable | ||
| # Disable Gatekeeper, then allow applications downloaded from anywhere in System Preferences > Security & Privacy > General | ||
| xattr -cr /Applications/Final2x.app | ||
| ``` | ||
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| 首次运行时，您需要在终端中运行上述命令，以允许应用程序运行。由于苹果的安全检查，第一次使用可能会非常缓慢。 | ||
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| ### Linux | ||
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| #### 对于大部分发行版(推荐, 下载linux-pip版本) | ||
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| 需要Python >= 3.8，然后在终端里检查是否安装成功。 | ||
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| ```bash | ||
| pip install Final2x-core | ||
| Final2x-core -c # cache models | ||
| apt install -y libomp5 xdg-utils | ||
| ``` | ||
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| #### 对于Deb/Ubuntu系 | ||
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| 对 resources 目录递归设置 777 权限。 | ||
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| ## 特性 | ||
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| - 跨平台：适用于 Windows x64/arm64 、MacOS x64/arm64 and Linux x64。 | ||
| - 超分辨率：采用先进的算法和模型对图像进行放大处理，显著提高图像的分辨率，同时不损失质量。 | ||
| - [多模型](https://github.com/Tohrusky/Final2x-core)：提供多种模型，可实现不同级别的超分辨率效果，可以根据自己的需求选择最适合的模型。 | ||
| - 自定义 Scale：可以灵活指定图像的放大倍数，从而实现更精细的超分辨率效果。 | ||
| - 国际化：支持英文、中文、日语、法语。 | ||
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| ## 参考 | ||
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| 在开发过程中，参考了以下项目： | ||
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| - [Final2x-core](https://github.com/Final2x/Final2x-core) - This project provided the core of the Final2x algorithm using the ncnn and Vulkan libraries. | ||
| - [naive-ui](https://github.com/tusen-ai/naive-ui) - This project provided the UI framework for the Final2x. | ||
| - [electron-vite](https://github.com/alex8088/electron-vite) - This project provided the build framework for the Final2x. | ||
| - [ncnn](https://github.com/Tencent/ncnn) - ncnn is a high-performance neural network inference framework developed by Tencent AI Lab. | ||
| - [nihui/realcugan-ncnn-vulkan](https://github.com/nihui/realcugan-ncnn-vulkan) - This project provided the core implementation of the Real-CUGAN algorithm using the ncnn and Vulkan libraries. | ||
| - [xinntao/Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan) - This project provided the core implementation of the Real-ESRGAN algorithm using the ncnn and Vulkan. | ||
| libraries. | ||
| - [nihui/waifu2x-ncnn-vulkan](https://github.com/nihui/waifu2x-ncnn-vulkan) - This project provided the core implementation of the Waifu2x algorithm using the ncnn and Vulkan libraries. | ||
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| ## 许可证 | ||
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| This project is licensed under the BSD 3-Clause - see | ||
| the [LICENSE file](https://github.com/Tohrusky/Final2x/blob/main/LICENSE) for details. | ||
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| ## Acknowledgements | ||
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| 如果您有任何问题或疑虑，请随时联系该项目的维护人员。祝您玩得开心！ | ||
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| <a href="https://star-history.com/#Tohrusky/Final2x&Date"> | ||
| <picture> | ||
| <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=Tohrusky/Final2x&type=Date&theme=dark" /> | ||
| <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=Tohrusky/Final2x&type=Date" /> | ||
| <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=Tohrusky/Final2x&type=Date" /> | ||
| </picture> | ||
| </a> | ||
| # Final2x |