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pedestrian-detection's Projects

alphapose icon alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detectandtrack icon detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

improved-body-parts icon improved-body-parts

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

monoloco icon monoloco

[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing

openpifpaf icon openpifpaf

Official implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch.

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

rmpe icon rmpe

RMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.

vibe icon vibe

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

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