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<a align="center" href="" target="_blank">
<img
width="850"
src="https://media.roboflow.com/open-source/autodistill/autodistill-banner.png"
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# Autodistill DETIC Module
This repository contains the code supporting the DETIC base model for use with [Autodistill](https://github.com/autodistill/autodistill).
[DETIC](https://github.com/facebookresearch/Detic) is a transformer-based object detection and segmentation model developed by Meta Research.
Read the full [Autodistill documentation](https://autodistill.github.io/autodistill/).
Read the [DETIC Autodistill documentation](https://autodistill.github.io/autodistill/base_models/detic/).
## Installation
To use DETIC with autodistill, you need to install the following dependency:
```bash
pip3 install autodistill-detic
```
## Quickstart
```python
from autodistill_detic import DETIC
# define an ontology to map class names to our DETIC 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 = DETIC(
ontology=CaptionOntology(
{
"person": "person",
}
)
)
base_model.label("./context_images", extension=".jpg")
```
## License
The code in this repository is licensed under an [MIT license](LICENSE).
See the Meta Research DETIC repository for more information on the [DETIC license](https://github.com/facebookresearch/Detic).
## 🏆 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!
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