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ultralytics 8.0.141 create new SettingsManager (#3790)

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Glenn Jocher 2023-07-23 16:03:34 +02:00 • committed by GitHub
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8
docs/datasets/pose/index.md
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@ -70,10 +70,10 @@ For example if we assume five keypoints of facial landmark: [left eye, right eye
!!! example ""
=== "Python"
```python
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-pose.pt') # load a pretrained model (recommended for training)
@ -81,7 +81,7 @@ For example if we assume five keypoints of facial landmark: [left eye, right eye
model.train(data='coco128-pose.yaml', epochs=100, imgsz=640)
```
=== "CLI"
```bash
# Start training from a pretrained *.pt model
yolo detect train data=coco128-pose.yaml model=yolov8n-pose.pt epochs=100 imgsz=640
@ -125,4 +125,4 @@ from ultralytics.data.converter import convert_coco
convert_coco(labels_dir='../coco/annotations/', use_keypoints=True)
```
This conversion tool can be used to convert the COCO dataset or any dataset in the COCO format to the Ultralytics YOLO format. The `use_keypoints` parameter specifies whether to include keypoints (for pose estimation) in the converted labels.
This conversion tool can be used to convert the COCO dataset or any dataset in the COCO format to the Ultralytics YOLO format. The `use_keypoints` parameter specifies whether to include keypoints (for pose estimation) in the converted labels.