Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
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Updated
Jul 8, 2024 - Python
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
Official implementation of the paper "Progressive End-to-End Object Detection in Crowded Scenes"
Tools to create blend catalogs, produce training samples and implement blending metrics
An approach to detecting face masks in crowded places built using RetinaNet Face for face mask detection and Xception network for classification.
This project is based on STACOG descriptor to detect anomalous event in real-time
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