yolov8-object-tracking and ONNX-YOLOv8-Object-Detection

yolov8-object-tracking
59
Established
ONNX-YOLOv8-Object-Detection
50
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 362
Forks: 69
Downloads: —
Commits (30d): 0
Language: Python
License: AGPL-3.0
Stars: 481
Forks: 120
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About yolov8-object-tracking

RizwanMunawar/yolov8-object-tracking

YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics

This tool helps computer vision developers and researchers add object tracking capabilities to their projects. It takes video files, image files, or live camera feeds as input and outputs the same media with detected objects uniquely identified and tracked across frames. Anyone building applications that need to monitor and count moving objects will find this useful.

object-tracking computer-vision video-analytics real-time-monitoring surveillance

About ONNX-YOLOv8-Object-Detection

ibaiGorordo/ONNX-YOLOv8-Object-Detection

Python scripts performing object detection using the YOLOv8 model in ONNX.

This project helps you automatically identify and locate objects within images or video streams. You provide an image, a video file, or a live webcam feed, and it outputs the same visual content with detected objects highlighted and labeled. This is useful for anyone needing to automate visual monitoring or analysis, such as security personnel, quality control inspectors, or researchers analyzing visual data.

visual-monitoring security-surveillance quality-control inventory-management content-analysis

Related comparisons

yolov8-object-tracking and ultralytics yolov8-object-tracking and object-detection-opencv yolov8-object-tracking and object-detection-opencv

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