Stars
All Algorithms implemented in Python
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Real-World Anomaly Detection in Surveillance Videos
a way to download the dataset of ActivityNet
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Paper list and source code for multi-object-tracking
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Open source person re-identification library in python
3D ResNets for Action Recognition (CVPR 2018)
A simple fall detection demo based on openpose
Frame level anomaly detection and localization in videos using auto-encoders
Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning
Torchreid: Deep learning person re-identification in PyTorch.
The paper list about skeleton-based action recognition.
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
Library for Fast and Flexible Human Pose Estimation
Code for the CVPR'19 paper "Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos"