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Update YouTube URL https://youtu.be/LNwODJXcvt4 (#4808)

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Glenn Jocher 2023-09-10 04:58:24 +02:00 • committed by GitHub
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12 changed files with 26 additions and 25 deletions
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4
docs/usage/cli.md
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@ -34,7 +34,7 @@ CLI requires no customization or Python code. You can simply run all tasks from
Predict a YouTube video using a pretrained segmentation model at image size 320:
```bash
yolo predict model=yolov8n-seg.pt source='https://youtu.be/Zgi9g1ksQHc' imgsz=320
yolo predict model=yolov8n-seg.pt source='https://youtu.be/LNwODJXcvt4' imgsz=320
```
=== "Val"
@ -196,7 +196,7 @@ Default arguments can be overridden by simply passing them as arguments in the C
=== "Predict"
Predict a YouTube video using a pretrained segmentation model at image size 320:
```bash
yolo segment predict model=yolov8n-seg.pt source='https://youtu.be/Zgi9g1ksQHc' imgsz=320
yolo segment predict model=yolov8n-seg.pt source='https://youtu.be/LNwODJXcvt4' imgsz=320
```
=== "Val"

4
docs/usage/python.md
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@ -220,8 +220,8 @@ for applications such as surveillance systems or self-driving cars.
model = YOLO('path/to/best.pt') # load a custom model
# Track with the model
results = model.track(source="https://youtu.be/Zgi9g1ksQHc", show=True)
results = model.track(source="https://youtu.be/Zgi9g1ksQHc", show=True, tracker="bytetrack.yaml")
results = model.track(source="https://youtu.be/LNwODJXcvt4", show=True)
results = model.track(source="https://youtu.be/LNwODJXcvt4", show=True, tracker="bytetrack.yaml")
```
[Track Examples](../modes/track.md){ .md-button .md-button--primary}