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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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docs/models/sam.md
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@ -37,10 +37,10 @@ The Segment Anything Model can be employed for a multitude of downstream tasks t
Segment image with given prompts.
=== "Python"
```python
from ultralytics import SAM
# Load a model
model = SAM('sam_b.pt')
@ -59,10 +59,10 @@ The Segment Anything Model can be employed for a multitude of downstream tasks t
Segment the whole image.
=== "Python"
```python
from ultralytics import SAM
# Load a model
model = SAM('sam_b.pt')
@ -73,7 +73,7 @@ The Segment Anything Model can be employed for a multitude of downstream tasks t
model('path/to/image.jpg')
```
=== "CLI"
```bash
# Run inference with a SAM model
yolo predict model=sam_b.pt source=path/to/image.jpg
@ -86,7 +86,7 @@ The Segment Anything Model can be employed for a multitude of downstream tasks t
This way you can set image once and run prompts inference multiple times without running image encoder multiple times.
=== "Prompt inference"
```python
from ultralytics.models.sam import Predictor as SAMPredictor
@ -106,7 +106,7 @@ The Segment Anything Model can be employed for a multitude of downstream tasks t
Segment everything with additional args.
=== "Segment everything"
```python
from ultralytics.models.sam import Predictor as SAMPredictor
@ -207,7 +207,7 @@ If you find SAM useful in your research or development work, please consider cit
```bibtex
@misc{kirillov2023segment,
title={Segment Anything},
title={Segment Anything},
author={Alexander Kirillov and Eric Mintun and Nikhila Ravi and Hanzi Mao and Chloe Rolland and Laura Gustafson and Tete Xiao and Spencer Whitehead and Alexander C. Berg and Wan-Yen Lo and Piotr Dollár and Ross Girshick},
year={2023},
eprint={2304.02643},
@ -218,4 +218,4 @@ If you find SAM useful in your research or development work, please consider cit
We would like to express our gratitude to Meta AI for creating and maintaining this valuable resource for the computer vision community.
*keywords: Segment Anything, Segment Anything Model, SAM, Meta SAM, image segmentation, promptable segmentation, zero-shot performance, SA-1B dataset, advanced architecture, auto-annotation, Ultralytics, pre-trained models, SAM base, SAM large, instance segmentation, computer vision, AI, artificial intelligence, machine learning, data annotation, segmentation masks, detection model, YOLO detection model, bibtex, Meta AI.*
*keywords: Segment Anything, Segment Anything Model, SAM, Meta SAM, image segmentation, promptable segmentation, zero-shot performance, SA-1B dataset, advanced architecture, auto-annotation, Ultralytics, pre-trained models, SAM base, SAM large, instance segmentation, computer vision, AI, artificial intelligence, machine learning, data annotation, segmentation masks, detection model, YOLO detection model, bibtex, Meta AI.*