Autodistill OWL-ViT Module

This repository contains the code supporting the OWL-ViT base model for use with Autodistill.

OWL-ViT is a transformer-based object detection model developed by Google Research.

Read the full Autodistill documentation.

Read the OWL-ViT Autodistill documentation.

Installation

To use OWL-ViT with autodistill, you need to install the following dependency:

pip3 install autodistill-owl-vit

Quickstart

from autodistill_owl_vit import OWLViT

# define an ontology to map class names to our OWLViT 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 = OWLViT(
    ontology=CaptionOntology(
        {
            "person": "person",
            "a forklift": "forklift"
        }
    )
)
base_model.label("./context_images", extension=".jpg")

License

The code in this repository is licensed under an Apache 2.0 license.

🏆 Contributing

We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!