Comments (2)
@shimaamorsy absolutely, YOLOv8 can be used for object tracking in videos! π You can utilize YOLOv8's tracking capabilities by using the track
mode in combination with a detection, segmentation, or pose model of your choice. Here's a quick example using Python:
from ultralytics import YOLO
# Load your model (replace 'yolov8n.pt' with your model path if custom)
model = YOLO('yolov8n.pt')
# Track objects in a video (replace 'path/to/your/video.mp4' with your video path)
results = model.track(source='path/to/your/video.mp4', show=True)
Or, if you prefer using the command line interface (CLI):
yolo track model=yolov8n.pt source=path/to/your/video.mp4
Make sure to replace 'yolov8n.pt'
and 'path/to/your/video.mp4'
with the paths to your specific model and video, respectively. Happy tracking! π
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π Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.
For additional resources and information, please see the links below:
- Docs: https://docs.ultralytics.com
- HUB: https://hub.ultralytics.com
- Community: https://community.ultralytics.com
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLO π and Vision AI β
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