退购1.1定位算法
This commit is contained in:
29
docs/datasets/track/index.md
Normal file
29
docs/datasets/track/index.md
Normal file
@ -0,0 +1,29 @@
|
||||
---
|
||||
comments: true
|
||||
description: Discover the datasets compatible with Multi-Object Detector. Train your trackers and make your detections more efficient with Ultralytics' YOLO.
|
||||
---
|
||||
|
||||
# Multi-object Tracking Datasets Overview
|
||||
|
||||
## Dataset Format (Coming Soon)
|
||||
|
||||
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
|
||||
|
||||
## Usage
|
||||
|
||||
!!! example ""
|
||||
|
||||
=== "Python"
|
||||
|
||||
```python
|
||||
from ultralytics import YOLO
|
||||
|
||||
model = YOLO('yolov8n.pt')
|
||||
results = model.track(source="https://youtu.be/Zgi9g1ksQHc", conf=0.3, iou=0.5, show=True)
|
||||
```
|
||||
=== "CLI"
|
||||
|
||||
```bash
|
||||
yolo track model=yolov8n.pt source="https://youtu.be/Zgi9g1ksQHc" conf=0.3, iou=0.5 show
|
||||
```
|
Reference in New Issue
Block a user