Yolov8 Object Tracking Save

YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics

Project README

yolov8-object-tracking

[ultralytics==8.0.0]

Features

  • Object Tracks
  • Different Color for every track
  • Video/Image/WebCam/External Camera/IP Stream Supported

Coming Soon

  • Selection of specific class ID for tracking
  • Development of dashboard for YOLOv8

Train YOLOv8 on Custom Data

Steps to run Code

  • 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

Results

YOLOv8s Object Tracking YOLOv8m Object Tracking

References

My Articles

LinkedIn Post on YOLOv8 Release

Don't forget to check out my Services

For more details, you can reach out to me on Medium or can connect with me on LinkedIn

Open Source Agenda is not affiliated with "Yolov8 Object Tracking" Project. README Source: RizwanMunawar/yolov8-object-tracking
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