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Source channel @githubtrending · Post #14930 · Jul 8

#other This resource is a huge, well-organized collection of computer vision materials including books, courses, papers, software, datasets, tutorials, and tools. It covers everything from beginner to advanced topics like image processing, object detection, 3D vision, deep learning, and more. You can find free and paid courses from top universities, open-source libraries like OpenCV, pre-trained models, and datasets for practice. This helps you learn computer vision efficiently, find the right tools, and stay updated with the latest research and applications, saving you time and effort in your learning or project development. It’s great for students, researchers, and developers. https://github.com/jbhuang0604/awesome-computer-vision

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Libreware

@libreware · Post #1321 · 08/29/2024, 08:23 PM

__ __ _ __ / /_____ ____ / /_(_) /__ / __/ __ \/ __ \/ __/ / //_/ / /_/ /_/ / /_/ / /_/ / ,< \__/\____/\____/\__/_/_/|_| tootik v0.12.0 [https://github.com/dimkr/tootik] tootik is a federated nanoblogging service for the small internet. tootik allows people to participate in the fediverse using their Gemini, Gopher or Finger client of choice and makes the fediverse lighter, more private and more accessible. tootik's interface strips content to bare essentials (like text and links), puts the users in control of the content they see and tries to "slow down" the fediverse to make it more compatible with the slower pace of the small internet. It's a single executable that handles both the federation (using ActivityPub) and the frontend (using Gemini) aspects, while sqlite takes care of persistency. It should be lightweight and efficient enough to host a small community even on a cheap server, and hopefully, be easy to hack on. tootik implements only a small subset of ActivityPub, and probably doesn't really conform to the spec. Changelog: [https://github.com/dimkr/tootik/releases/tag/0.12.0] #Gemini#Gopher#Guppy#Fediverse#ActivityPub