- Object Tracks
- Different Color for every track
- Video/Image/WebCam/External Camera/IP Stream Supported
- Selection of specific class ID for tracking
- Development of dashboard for YOLOv8
- Clone the repository
https://github.com/RizwanMunawar/yolov8-object-tracking.git
- Goto cloned folder
cd yolov8-object-tracking
- Install the ultralytics package
pip install ultralytics==8.0.0
- Do Tracking with mentioned command below
#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 working-dir/runs/detect/train with original filename
| YOLOv8s Object Tracking | YOLOv8m Object Tracking |
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Some of my articles/research papers | computer vision awesome resources for learning | How do I appear to the world? 🚀
Ultralytics YOLO11: Object Detection and Instance Segmentation🤯
Parking Management using Ultralytics YOLO11
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Roadmap for Computer Vision Engineer
How did I spend 2022 in the Computer Vision Field
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Feature Mapping for Rice Leaf Defect Detection Based on a Custom Convolutional Architecture
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More Information
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