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pytorch implementation of openpose including Hand and Body Pose Estimation.
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A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
A new markup-based typesetting system that is powerful and easy to learn.
Official code for "Action Transformer: A Self-attention Model for Short-time Pose-based Human Action Recognition", Pattern Recognition (2022).
This repository contains the MPOSE2021 Dataset for short-time pose-based Human Action Recognition (HAR).
Spatial Temporal Transformer Network for Skeleton-Based Activity Recognition
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
yysijie / st-gcn
Forked from open-mmlab/mmskeletonSpatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
VIP cheatsheets for Stanford's CS 229 Machine Learning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
Anomaly detection related books, papers, videos, and toolboxes
Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze …