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Pre-written Python examples in the Halo repository demonstrate object detection, counting, and zone-based tracking, which can be customized for specific use cases.
We’ve previously covered how to work with OpenCV to detect shapes in images, but today we’re taking it to a new level by introducing DLib, and abstracting face features from an image.
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