https://github.com/autodistill/autodistill-detic
DETIC module for use with Autodistill.
https://github.com/autodistill/autodistill-detic
autodistill computer-vision detic
Last synced: about 2 months ago
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DETIC module for use with Autodistill.
- Host: GitHub
- URL: https://github.com/autodistill/autodistill-detic
- Owner: autodistill
- License: mit
- Created: 2023-06-06T09:39:11.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-06T10:25:17.000Z (over 1 year ago)
- Last Synced: 2025-04-14T12:13:08.789Z (about 2 months ago)
- Topics: autodistill, computer-vision, detic
- Language: Python
- Homepage: https://docs.autodistill.com
- Size: 23.4 KB
- Stars: 13
- Watchers: 3
- Forks: 2
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# 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!