From c5c7bc239633548b6a2dd1871b27587e169edb2d Mon Sep 17 00:00:00 2001 From: Xingyu Wang Date: Sun, 28 Aug 2022 18:03:25 +0800 Subject: [PATCH] RP @wxy https://linux.cn/article-14976-1.html --- ...aler Upscayl Released its First Version.md | 96 +++++++++++++++++ ...aler Upscayl Released its First Version.md | 101 ------------------ 2 files changed, 96 insertions(+), 101 deletions(-) create mode 100644 published/20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md delete mode 100644 sources/news/20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md diff --git a/published/20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md b/published/20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md new file mode 100644 index 0000000000..8f545093ac --- /dev/null +++ b/published/20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md @@ -0,0 +1,96 @@ +[#]: subject: "Linux-First AI Image Upscaler Upscayl Released its First Version" +[#]: via: "https://news.itsfoss.com/upscayl-version-1-release/" +[#]: author: "Abhishek https://news.itsfoss.com/author/abhishek/" +[#]: collector: "lkxed" +[#]: translator: "wxy" +[#]: reviewer: "wxy" +[#]: publisher: "wxy" +[#]: url: "https://linux.cn/article-14976-1.html" + +Linux 优先的 AI 图像提升器 Upscayl 发布了第一个版本 +====== + +> 你不是每天都能遇到一个采用 “Linux 优先” 方式的应用程序。 + +![Linux-First AI Image Upscaler Upscayl Released its First Version][1] + +你是不是有一张世纪初的像素化、低分辨率的图片？由于人工智能的进步，你可以轻松地将像素化的图像提升为分辨率更好的图像。 + +使用普通的图像编辑器需要人工的努力来提升图像。 + +有大量的在线人工智能图像提升器，但是你不能信任它们对你的数据的处理。 + +一个新的项目试图解决这个问题，为你提供一个简单的桌面应用程序，让你在一次点击中增强低分辨率照片。 + +它的第一个版本已经发布。 + +### Upscayl 的功能 + +[Upscayl][2] 是一个跨平台的应用程序，以 Linux 优先的理念构建。 + +这仅仅意味着 Linux 的构建得到优先考虑，但其他平台也会得到支持。 + +Upscayl 使用 Python 和 JavaScript 开发，给出了一个简单的界面，你可以选择输入图片和输出文件夹，然后点击 “Upscayl” 按钮来增强图片。 + +### 使用 Upscayl + +我的电脑上没有太多模糊的照片。并不是说我是一个优秀的摄影师，只是懒得在成千上万的照片中寻找它们。 + +不过，我还是设法弄到了一张 2011 年的模糊的老照片（那是 11 年前的照片，现在可以说是老照片了）。 + +![厨房的模糊老照片][4] + +不要因为我随手拍了一张厨房柜台的照片而对我做出评价。一定有一个很好的理由（或者我觉得）。 + +无论如何。我试着用 Upscayl 对图片进行放大。 + +![使用 Upscayl][5] + +这需要相当大的处理能力，但我的 8 核、第 11 代 i7 处理器和 16GB 内存可以轻松应对。 + +![Upscayl 工作时 CPU 的使用情况][6] + +单张图片的处理花了大约 4 分钟，435KB 的图片最终变成了 24MB 的图片。说实话，我几乎没有注意到明显的差异。 + +![由 Upscayl 放大的图像][7] + +我想把最后的结果嵌入这里的文章中。但是上传一张 24MB 的图片对我的服务器和你的浏览器来说都有点过分。 + +### 安装 Upscayl + +不过，我这个不怎么成功的实验不应该阻止你自己去尝试它。 + +目前，该应用程序可用于 Linux。对 Windows 和 macOS 的支持正在计划中。 + +你可以得到 Upscayl 的 AppImage 和 Flatpak 软件包。我使用的是 AppImage 版本，你可以使用你喜欢的任何一种。 + +这些文件可以在发布页面上找到。 + +> **[下载 Upscayl][8]** + +如果你喜欢这个项目，别忘了在 GitHub 上给它加星。 + +> **[GitHub - TGS963/upscayl][9]** + +-------------------------------------------------------------------------------- + +via: https://news.itsfoss.com/upscayl-version-1-release/ + +作者：[Abhishek][a] +选题：[lkxed][b] +译者：[wxy](https://github.com/wxy) +校对：[wxy](https://github.com/wxy) + +本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出 + +[a]: https://news.itsfoss.com/author/abhishek/ +[b]: https://github.com/lkxed +[1]: https://news.itsfoss.com/content/images/size/w1200/2022/08/upscayl-image-upscaler.png +[2]: https://github.com/TGS963/upscayl +[3]: https://news.itsfoss.com/content/media/2022/08/upscayl-in-action.mp4 +[4]: https://news.itsfoss.com/content/images/2022/08/old-blurry-photo.jpg +[5]: https://news.itsfoss.com/content/images/2022/08/Using-Upscayl-for-image-processing.png +[6]: https://news.itsfoss.com/content/images/2022/08/Upscayl-CPU-usage.png +[7]: https://news.itsfoss.com/content/images/2022/08/Upscayl-final-result.png +[8]: https://github.com/TGS963/upscayl/releases +[9]: https://github.com/TGS963/upscayl diff --git a/sources/news/20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md b/sources/news/20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md deleted file mode 100644 index ce986491b4..0000000000 --- a/sources/news/20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md +++ /dev/null @@ -1,101 +0,0 @@ -[#]: subject: "Linux-First AI Image Upscaler Upscayl Released its First Version" -[#]: via: "https://news.itsfoss.com/upscayl-version-1-release/" -[#]: author: "Abhishek https://news.itsfoss.com/author/abhishek/" -[#]: collector: "lkxed" -[#]: translator: " " -[#]: reviewer: " " -[#]: publisher: " " -[#]: url: " " - -Linux-First AI Image Upscaler Upscayl Released its First Version -====== -Not every day you come across an application with 'Linux-first' approach. - -![Linux-First AI Image Upscaler Upscayl Released its First Version][1] - -Got a pixelated, low-resolution image from the 2000s? Thanks to the advancement of artificial intelligence, you can easily enhance pixelated images into better resolution images. - -Using a regular image editor requires manual efforts for upscaling the images. - -There are tons of online AI image upscalers available, but they can't be trusted with your data. - -A new project tries to solve this by providing you with a simple desktop application that lets you enhance low resolution photos in a new click. - -It's first version is released today. - -### Upscayl Features - -[Upscayl][2] is a cross-platform application built with the Linux-first philosophy. - -This simply means that Linux builds get priority but other platforms will also be supported. - -Developed using Python and JavaScript, Upscayl gives a simple interface where you select the input image and output folder and hit the Upscayl button to enhance the image. - -Here's a video of Upscayl in action. - -![][3] - -0:00 - -### Using Upscayl - -I don't have lots of blurry pictures on my computer. Not that I am an excellent photographer, just too lazy to look for them among thousands of pictures. - -Still, I managed to get a blurry, old photo from 2011 (it was 11 years ago and can be considered old now). - -![Old blurry photo of a kitchen][4] - -Don't judge me because I took a random photo of my kitchen counter. There must have been a good reason (or so I want to believe). - -Anyway. I tried to upscale the image with Upscayl. - -![Using Upscayl][5] - -It took quite some processing power, but my 8-core, 11th Gen i7 processor with 16 GB RAM easily handled it. - -![CPU usage while Upscayl works on upscaling the image][6] - -The single image processing took around 4 minutes and the 435 KB image resulted in a 24 MB image. Quite honestly, I hardly noticed visible differences. - -![Upscaled image by Upscayl][7] - -I wanted to embed the final result in the article here. But uploading a 24 MB image would be overkill for my server and your browser. - -### Getting Upscayl - -Still, my not-so-successful experiment should not deter you from trying it out yourself. - -The application is available for Linux at the moment. Support for Windows and macOS is planned. - -You can get Upscayl in AppImage and Flatpak formats. I used the AppImage version, you can use whichever you prefer. - -The files are available on the release page. - -[Download Upscayl][8] - -And if you liked the project, don't forget to star it on GitHub 👇 - -[GitHub - TGS963/upscayl: 🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows][9] - --------------------------------------------------------------------------------- - -via: https://news.itsfoss.com/upscayl-version-1-release/ - -作者：[Abhishek][a] -选题：[lkxed][b] -译者：[译者ID](https://github.com/译者ID) -校对：[校对者ID](https://github.com/校对者ID) - -本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出 - -[a]: https://news.itsfoss.com/author/abhishek/ -[b]: https://github.com/lkxed -[1]: https://news.itsfoss.com/content/images/size/w1200/2022/08/upscayl-image-upscaler.png -[2]: https://github.com/TGS963/upscayl -[3]: https://news.itsfoss.com/content/media/2022/08/upscayl-in-action.mp4 -[4]: https://news.itsfoss.com/content/images/2022/08/old-blurry-photo.jpg -[5]: https://news.itsfoss.com/content/images/2022/08/Using-Upscayl-for-image-processing.png -[6]: https://news.itsfoss.com/content/images/2022/08/Upscayl-CPU-usage.png -[7]: https://news.itsfoss.com/content/images/2022/08/Upscayl-final-result.png -[8]: https://github.com/TGS963/upscayl/releases -[9]: https://github.com/TGS963/upscayl