HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Update sam.md and sam-2.md (#17286)

Browse source
This commit is contained in:
Muhammad Rizwan Munawar 2024-10-31 16:42:05 +05:00 • committed by GitHub
parent 9c72d94ba4
commit bfa6f9a8e7
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
3 changed files with 5 additions and 5 deletions
Download patch file Download diff file Expand all files Collapse all files

4
docs/en/models/sam-2.md
View file

@ -250,13 +250,13 @@ To auto-annotate your dataset using SAM 2, follow this example:
```python
from ultralytics.data.annotator import auto_annotate
auto_annotate(data="path/to/images", det_model="yolov8x.pt", sam_model="sam2_b.pt")
auto_annotate(data="path/to/images", det_model="yolo11x.pt", sam_model="sam2_b.pt")
```
| Argument | Type | Description | Default |
| ------------ | ----------------------- | ------------------------------------------------------------------------------------------------------- | -------------- |
| `data` | `str` | Path to a folder containing images to be annotated. | |
| `det_model` | `str`, optional | Pre-trained YOLO detection model. Defaults to 'yolov8x.pt'. | `'yolov8x.pt'` |
| `det_model` | `str`, optional | Pre-trained YOLO detection model. Defaults to 'yolo11x.pt'. | `'yolov8x.pt'` |
| `sam_model` | `str`, optional | Pre-trained SAM 2 segmentation model. Defaults to 'sam2_b.pt'. | `'sam2_b.pt'` |
| `device` | `str`, optional | Device to run the models on. Defaults to an empty string (CPU or GPU, if available). | |
| `output_dir` | `str`, `None`, optional | Directory to save the annotated results. Defaults to a 'labels' folder in the same directory as 'data'. | `None` |