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Source channel @githubtrending · Post #14930 · Jul 8

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#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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📰 Info_Dota2

@Info_Dota2 · Post #36386 · 01/28/2025, 12:00 AM

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Yuma “Yuma” Langlet, hard carry de HEROIC, habló sobre el desempeño de su equipo tras avanzar a los playoffs del campeonato FISSURE PLAYGROUND #1. ¿Esperabas este resultado? “La verdad, no. No deberíamos haber jugado este torneo en primer lugar, ya que ni siquiera participamos en las clasificatorias. Tampoco nos preparamos específicamente, así que llegamos sin muchas expectativas. Solo estamos tratando de mostrar nuestro mejor nivel de juego y ver qué podemos lograr con eso.” Si así lo lograron sin preparación, ¿qué hubiera sido con entrenamiento previo? 🔥 #ESB#Esports#Dota2#Heroic#Yuma @Info_Dota2

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