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Source channel @githubtrending · Post #14963 · Jul 16

#jupyter_notebook SAM 2 is a powerful new AI model that can quickly and accurately separate objects in both images and videos, even if it has never seen them before. It works in real-time, allowing you to select objects with simple prompts like clicks or boxes and refine the results interactively. This makes tasks like video editing, object tracking, and image annotation much easier and faster. SAM 2’s ability to handle complex scenes and track objects smoothly across video frames helps improve creativity and productivity in many fields, from media production to computer vision research. It is open-source and easy to use with Python and PyTorch. https://github.com/facebookresearch/segment-anything

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PHYGITAL+CREATIVE

@phygitalcreative · Post #2746 · 04/14/2023, 01:52 PM

SEEM: Segment Everything Everywhere All at Once SEEM позволяет пользователям легко сегментировать изображение, используя промпты различных типов: точки, грубые маски, рамки, языковые подсказки (текст и аудио) и т.д. Говорят, что работает и с видео без дообучения. Гитхаб (кода пока нет) Демо #image2mask, #video2mask, #segmentation#text2mask#audio2mask