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MiDaS-PyTorch

MiDaS models for computing relative depth from a single image.

In this repository, I share my exploration of the MIDAS (Multiple Instance Detection and Segmentation) model implemented using PyTorch. MIDAS is a powerful framework for object detection and segmentation in scenarios where objects appear in clusters, making it ideal for various applications like counting objects in densely populated scenes.

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MiDaS is a deep learning model for monocular depth estimation, which means it can estimate the depth of objects in a single 2D image.

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