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kevin
2025-05-18 07:48:42 +08:00
parent 7245a115a0
commit 0e037c6388
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ultralytics/README.md
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@@ -9,7 +9,7 @@ years of foundational research in computer vision and AI.
```bash ```bash
$ docker run --rm -it --ipc=host ultralytics/ultralytics:latest-arm64 python $ docker run --rm -it --ipc=host ultralytics/ultralytics:latest-arm64 python
>>> from ultralytics import YOLO >>> from ultralytics import YOLO
>>> model = YOLO("yolo11n.pt") >>> model = YOLO("yolo11n.pt", save_txt=True)
>>> print(model.names) >>> print(model.names)
{0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', ...} {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', ...}
>>> results = model("https://ultralytics.com/images/bus.jpg") >>> results = model("https://ultralytics.com/images/bus.jpg")
@@ -23,9 +23,9 @@ tensor([[400.0137, 478.8882, 792.3618, 499.0482],
```bash ```bash
$ docker run --rm -it --ipc=host ultralytics/ultralytics:latest-arm64 bash $ docker run --rm -it --ipc=host ultralytics/ultralytics:latest-arm64 bash
>>> yolo classify predict model=yolo11n-cls.pt source=https://ultralytics.com/images/bus.jpg >>> yolo classify predict model=yolo11n-cls.pt source=https://ultralytics.com/images/bus.jpg save_txt=True
>>> ls /ultralytics/runs/classify >>> ls /ultralytics/runs/classify
>>> yolo detect predict model=yolo11n.pt source=https://ultralytics.com/images/bus.jpg >>> yolo detect predict model=yolo11n.pt source=https://ultralytics.com/images/bus.jpg save_txt=True
>>> ls /ultralytics/runs/detect >>> ls /ultralytics/runs/detect
>>> yolo solutions count model=yolo11n.pt classes="[2,5,7]" source=https://basicai-asset.s3.amazonaws.com/www/blogs/yolov8-object-counting/street.mp4 >>> yolo solutions count model=yolo11n.pt classes="[2,5,7]" source=https://basicai-asset.s3.amazonaws.com/www/blogs/yolov8-object-counting/street.mp4
>>> ls /ultralytics/runs/solutions >>> ls /ultralytics/runs/solutions