YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.
A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark (ACM MM2020)
Using YOLO object detection, this program will detect if a person is drowning. This project is still a work in progress, so it can only be implemented with a computer's webcam, and doesn't work completely yet.
PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition", CVPR 2020 Oral
Repository for PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
This is a command line tool that analyze videos and detects if a person is smoking.
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
