Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
翻译 - 使用YOLOv4,DeepSort和TensorFlow实现的对象跟踪。
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).
Fast MOT base on yolo+deepsort, support yolo3 and yolo4
helmet(hard hat) detection with yolov4
#计算机科学#Realtime C. elegans worm tracker based on Deep Object Detection (YOLO) and Tracking (Strong SORT) models
People tracking in crowded locations using multiple object Tracking (MOT)
A simple project for Real Time Crowd Detection and Tracking.