autodistill-mobileclip
Readme
This repository contains the code supporting the MobileCLIP base model for use with Autodistill.
MobileCLIP, developed by OpenAI, is a computer vision model trained using pairs of images and text. You can use MobileCLIP with autodistill for image classification.
Read the full Autodistill documentation.
Read the MobileCLIP Autodistill documentation.
To use MobileCLIP with autodistill, you need to install the following dependency:
pip3 install autodistill-mobileclip
from autodistill_mobileclip import MobileCLIP
from autodistill.detection import CaptionOntology
# define an ontology to map class names to our MobileCLIP 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 = MobileCLIP(
ontology=CaptionOntology(
{
"person": "person",
"a forklift": "forklift"
}
)
)
base_model.label("./context_images", extension=".jpeg")
MobileCLIP licensed under an Apple license.
We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!
FAQs
Model for use with Autodistill
We found that autodistill-mobileclip demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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