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29 lines
913 B
29 lines
913 B
--- |
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comments: true |
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description: Understand multi-object tracking datasets, upcoming features and how to use them with YOLO in Python and CLI. Dive in now!. |
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keywords: Ultralytics, YOLO, multi-object tracking, datasets, detection, segmentation, pose models, Python, CLI |
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--- |
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# Multi-object Tracking Datasets Overview |
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## Dataset Format (Coming Soon) |
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Multi-Object Detector doesn't need standalone training and directly supports pre-trained detection, segmentation or Pose models. Support for training trackers alone is coming soon |
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## Usage |
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!!! Example |
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=== "Python" |
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```python |
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from ultralytics import YOLO |
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model = YOLO('yolov8n.pt') |
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results = model.track(source="https://youtu.be/LNwODJXcvt4", conf=0.3, iou=0.5, show=True) |
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``` |
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=== "CLI" |
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```bash |
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yolo track model=yolov8n.pt source="https://youtu.be/LNwODJXcvt4" conf=0.3, iou=0.5 show |
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```
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