Metadata-Version: 2.1
Name: autodistill-fastsam
Version: 0.1.0
Summary: FastSAM module for use with Autodistill
Home-page: https://github.com/autodistill/autodistill-fastsam
Author: Roboflow
Author-email: support@roboflow.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: autodistill
Requires-Dist: supervision
Requires-Dist: numpy
Requires-Dist: torch
Provides-Extra: dev
Requires-Dist: flake8 ; extra == 'dev'
Requires-Dist: black (==22.3.0) ; extra == 'dev'
Requires-Dist: isort ; extra == 'dev'
Requires-Dist: twine ; extra == 'dev'
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: wheel ; extra == 'dev'

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# Autodistill FastSAM Module

This repository contains the code supporting the FastSAM base model for use with [Autodistill](https://github.com/autodistill/autodistill).

[FastSAM](https://github.com/CASIA-IVA-Lab/FastSAM) is a segmentation model trained on 2% of the SA-1B dataset used to train the [Segment Anything Model](https://github.com/facebookresearch/segment-anything).

Read the full [Autodistill documentation](https://autodistill.github.io/autodistill/).

Read the [FastSAM Autodistill documentation](https://autodistill.github.io/autodistill/base_models/fastsam/).

## Installation

To use FastSAM with autodistill, you need to install the following dependency:

```bash
pip3 install autodistill-fastsam
```

## Quickstart

```python
from autodistill_fastsam import FastSAM

# define an ontology to map class names to our FastSAM prompt
# the ontology dictionary has the format {caption: class}
# where caption is the prompt sent to the base model, and class is the label that will
# be saved for that caption in the generated annotations
# then, load the model
base_model = FastSAM(
    ontology=CaptionOntology(
        {
            "person": "person",
            "a forklift": "forklift"
        }
    )
)
base_model.label("./context_images", extension=".jpeg")
```


## License

This project is licensed under an [Apache 2.0 license](LICENSE).

## 🏆 Contributing

We love your input! Please see the core Autodistill [contributing guide](https://github.com/autodistill/autodistill/blob/main/CONTRIBUTING.md) to get started. Thank you 🙏 to all our contributors!
