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Scientists develop computer vision framework to track animals in the wild without markers

Researchers from the Cluster of Excellence Collective Behavior have developed a computer vision framework for posture estimation and identity tracking that they can use in indoor environments as well as in the wild. This is an important step toward the markerless tracking of animals in the wild using computer vision and machine learning.
Urs Waldmann Alex Chan Max Planck Institute Of Animal Behavior International Journal Of Computer Vision University Of Konstanz International Journal
Source: phys.org

Making my bookshelves clickable | James' Coffee Blog

You can make regions of an image clickable with a number of techniques, from overlyaing an SVG that contains onclick JavaScript handlers all the way to using image maps. I love this idea. I started to think about how I could create an image of my bookshelves that you could click to learn more about each book I am reading. This would be more engaging than a traditional list of text.
William Sieghart Google Books Optical Character Recognition Segment Anything Segment Anything Model

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