- 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
or
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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- https://chr043416.medium.com/train-yolov8-on-custom-data-6d28cd348262
- https://medium.com/augmented-startups/roadmap-for-computer-vision-engineer-45167b94518c
- https://medium.com/augmented-startups/yolor-or-yolov5-which-one-is-better-2f844d35e1a1
- https://medium.com/augmented-startups/train-yolor-on-custom-data-f129391bd3d6
- https://medium.com/augmented-startups/develop-an-analytics-dashboard-using-streamlit-e6282fa5e0f
LinkedIn Post on YOLOv8 Release
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For more details, you can reach out to me on Medium or can connect with me on LinkedIn