People detection and optional tracking with Tensorflow backend.

A really more real-time adaptation of deep sort

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).

MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.

✌️ Detection and tracking hand from FPV: benchmarks and challenges on rehabilitation exercises dataset

Approaching Pedestrian Tracking problem on surveillance camera with YoloV5 for pedestrian detection and DeepSORT for tracking.

Implementation of various methods of single / multi object tracking 🐾🛰

Acquiring the demographic details such as Age and Gender of a person from a Surveillance Camera video using a custom trained CNN model.

yolov8 with DeepSort_Tracking

Deep SORT + YOLOv3, Tensorflow, Keras, OpenCV

A fish viewer application that uses deep learning models to detect fish types and the length of fish using an image, video or a camera input.