# yolov8-object-tracking **Repository Path**: o1o2oxxx/yolov8-object-tracking ## Basic Information - **Project Name**: yolov8-object-tracking - **Description**: No description available - **Primary Language**: Unknown - **License**: AGPL-3.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-12-06 - **Last Updated**: 2025-12-06 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # yolov8-object-tracking This is compatible only with `ultralytics==8.0.0`. However, I highly recommend using the latest version of the Ultralytics package and referring to the official Ultralytics codebase here: [GitHub Repository](https://github.com/ultralytics/ultralytics/). [![Static Badge](https://img.shields.io/badge/yolov8-blog-blue)](https://muhammadrizwanmunawar.medium.com/train-yolov8-on-custom-data-6d28cd348262) ### Steps to run Code - Clone the repository ```bash https://github.com/RizwanMunawar/yolov8-object-tracking.git ``` - Move to the cloned folder ```bash cd yolov8-object-tracking ``` - Install the ultralytics package ```bash pip install ultralytics==8.0.0 ``` - Do tracking with the mentioned command below ```bash #video file python yolo\v8\detect\detect_and_trk.py model=yolov8s.pt source="test.mp4" show=True #imagefile python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source="path to image" #Webcam python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source=0 show=True #External Camera python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source=1 show=True ``` - Output file will be created in the `runs/detect/train` with the original filename ### Results 📊
YOLOv8s Object Tracking YOLOv8m Object Tracking
### References 🔗 - 🔗 https://github.com/ultralytics/ultralytics - 🔗 https://github.com/abewley/sort - 🔗 https://docs.ultralytics.com/ **Some of my articles/research papers | Computer vision awesome resources for learning | How do I appear to the world? 🚀** | Article Title & Link | Published Date | |-----------------------|----------------| | [Ultralytics YOLO11: Object Detection and Instance Segmentation🤯](https://muhammadrizwanmunawar.medium.com/ultralytics-yolo11-object-detection-and-instance-segmentation-88ef0239a811) | ![Published Date](https://img.shields.io/badge/published_Date-2024--10--27-brightgreen) | | [Parking Management using Ultralytics YOLO11](https://muhammadrizwanmunawar.medium.com/parking-management-using-ultralytics-yolo11-fba4c6bc62bc) | ![Published Date](https://img.shields.io/badge/published_Date-2024--11--10-brightgreen) | | [My 🖐️Computer Vision Hobby Projects that Yielded Earnings](https://muhammadrizwanmunawar.medium.com/my-️computer-vision-hobby-projects-that-yielded-earnings-7923c9b9eead) | ![Published Date](https://img.shields.io/badge/published_Date-2023--09--10-brightgreen) | | [Best Resources to Learn Computer Vision](https://muhammadrizwanmunawar.medium.com/best-resources-to-learn-computer-vision-311352ed0833) | ![Published Date](https://img.shields.io/badge/published_Date-2023--06--30-brightgreen) | | [Roadmap for Computer Vision Engineer](https://medium.com/augmented-startups/roadmap-for-computer-vision-engineer-45167b94518c) | ![Published Date](https://img.shields.io/badge/published_Date-2022--08--07-brightgreen) | | [How did I spend 2022 in the Computer Vision Field](https://www.linkedin.com/pulse/how-did-i-spend-2022-computer-vision-field-muhammad-rizwan-munawar) | ![Published Date](https://img.shields.io/badge/published_Date-2022--12--20-brightgreen) | | [Domain Feature Mapping with YOLOv7 for Automated Edge-Based Pallet Racking Inspections](https://www.mdpi.com/1424-8220/22/18/6927) | ![Published Date](https://img.shields.io/badge/published_Date-2022--09--13-brightgreen) | | [Exudate Regeneration for Automated Exudate Detection in Retinal Fundus Images](https://ieeexplore.ieee.org/document/9885192) | ![Published Date](https://img.shields.io/badge/published_Date-2022--09--12-brightgreen) | | [Feature Mapping for Rice Leaf Defect Detection Based on a Custom Convolutional Architecture](https://www.mdpi.com/2304-8158/11/23/3914) | ![Published Date](https://img.shields.io/badge/published_Date-2022--12--04-brightgreen) | | [Yolov5, Yolo-x, Yolo-r, Yolov7 Performance Comparison: A Survey](https://aircconline.com/csit/papers/vol12/csit121602.pdf) | ![Published Date](https://img.shields.io/badge/published_Date-2022--09--24-brightgreen) | | [Explainable AI in Drug Sensitivity Prediction on Cancer Cell Lines](https://ieeexplore.ieee.org/document/9922931) | ![Published Date](https://img.shields.io/badge/published_Date-2022--09--23-brightgreen) | | [Train YOLOv8 on Custom Data](https://medium.com/augmented-startups/train-yolov8-on-custom-data-6d28cd348262) | ![Published Date](https://img.shields.io/badge/published_Date-2022--09--23-brightgreen) | **More Information** For more details, you can reach out to me on [Medium](https://muhammadrizwanmunawar.medium.com/) or connect with me on [LinkedIn](https://www.linkedin.com/in/muhammadrizwanmunawar/)