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Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Update YOLO11 Actions and Docs (#16596)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
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Ultralytics Assistant 2024-10-01 16:58:12 +02:00 • committed by GitHub
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10
.github/workflows/ci.yaml vendored
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@ -320,16 +320,16 @@ jobs:
conda list
- name: Test CLI
run: |
yolo predict model=yolov8n.pt imgsz=320
yolo train model=yolov8n.pt data=coco8.yaml epochs=1 imgsz=32
yolo val model=yolov8n.pt data=coco8.yaml imgsz=32
yolo export model=yolov8n.pt format=torchscript imgsz=160
yolo predict model=yolo11n.pt imgsz=320
yolo train model=yolo11n.pt data=coco8.yaml epochs=1 imgsz=32
yolo val model=yolo11n.pt data=coco8.yaml imgsz=32
yolo export model=yolo11n.pt format=torchscript imgsz=160
- name: Test Python
# Note this step must use the updated default bash environment, not a python environment
run: |
python -c "
from ultralytics import YOLO
model = YOLO('yolov8n.pt')
model = YOLO('yolo11n.pt')
results = model.train(data='coco8.yaml', epochs=3, imgsz=160)
results = model.val(imgsz=160)
results = model.predict(imgsz=160)

4
.github/workflows/format.yml vendored
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@ -48,7 +48,7 @@ jobs:
## Environments
YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including [CUDA](https://developer.nvidia.com/cuda)/[CUDNN](https://developer.nvidia.com/cudnn), [Python](https://www.python.org/) and [PyTorch](https://pytorch.org/) preinstalled):
YOLO may be run in any of the following up-to-date verified environments (with all dependencies including [CUDA](https://developer.nvidia.com/cuda)/[CUDNN](https://developer.nvidia.com/cudnn), [Python](https://www.python.org/) and [PyTorch](https://pytorch.org/) preinstalled):
- **Notebooks** with free GPU: <a href="https://console.paperspace.com/github/ultralytics/ultralytics"><img src="https://assets.paperspace.io/img/gradient-badge.svg" alt="Run on Gradient"/></a> <a href="https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://www.kaggle.com/ultralytics/yolov8"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open In Kaggle"></a>
- **Google Cloud** Deep Learning VM. See [GCP Quickstart Guide](https://docs.ultralytics.com/yolov5/environments/google_cloud_quickstart_tutorial/)
@ -59,4 +59,4 @@ jobs:
<a href="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml?query=event%3Aschedule"><img src="https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml/badge.svg" alt="Ultralytics CI"></a>
If this badge is green, all [Ultralytics CI](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml?query=event%3Aschedule) tests are currently passing. CI tests verify correct operation of all YOLOv8 [Modes](https://docs.ultralytics.com/modes/) and [Tasks](https://docs.ultralytics.com/tasks/) on macOS, Windows, and Ubuntu every 24 hours and on every commit.
If this badge is green, all [Ultralytics CI](https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml?query=event%3Aschedule) tests are currently passing. CI tests verify correct operation of all YOLO [Modes](https://docs.ultralytics.com/modes/) and [Tasks](https://docs.ultralytics.com/tasks/) on macOS, Windows, and Ubuntu every 24 hours and on every commit.