This tracker is based on the use of a detector in the form of a YOLOv5s neural model and a tracking algorithm for tracking objects (DeepSORT).
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Updated
Jul 22, 2024 - Python
This tracker is based on the use of a detector in the form of a YOLOv5s neural model and a tracking algorithm for tracking objects (DeepSORT).
People detection and optional tracking with Tensorflow backend.
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.
yolov8 with DeepSort_Tracking
✌️ Detection and tracking hand from FPV: benchmarks and challenges on rehabilitation exercises dataset
Acquiring the demographic details such as Age and Gender of a person from a Surveillance Camera video using a custom trained CNN model.
Approaching Pedestrian Tracking problem on surveillance camera with YoloV5 for pedestrian detection and DeepSORT for tracking.
MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.
Implementation of various methods of single / multi object tracking 🐾🛰
Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
A really more real-time adaptation of deep sort
People detection and optional tracking with Tensorflow backend.
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