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https://github.com/autodistill/autodistill-blip

BLIP module for use with Autodistill.

https://github.com/autodistill/autodistill-blip

Science Score: 13.0%

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Keywords

autodistill blip computer-vision
Last synced: 6 months ago · JSON representation

Repository

BLIP module for use with Autodistill.

Basic Info
  • Host: GitHub
  • Owner: autodistill
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage: https://docs.autodistill.com
  • Size: 14.6 KB
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  • Stars: 5
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
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Topics
autodistill blip computer-vision
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

Autodistill BLIP Module

This repository contains the code supporting the BLIP base model for use with Autodistill.

BLIP, developed by Salesforce, is a computer vision model that supports visual question answering and zero-shot classification. Autodistill supports classifying images using BLIP.

Read the full Autodistill documentation.

Read the BLIP Autodistill documentation.

Installation

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

bash pip3 install autodistill-blip

Quickstart

```python from autodistill_blip import BLIP

define an ontology to map class names to our BLIP 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

basemodel = BLIP( ontology=CaptionOntology( { "person": "person", "a forklift": "forklift" } ) ) basemodel.label("./context_images", extension=".jpeg") ```

License

This project is licensed under a 3-Clause BSD license.

🏆 Contributing

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

Owner

  • Name: Autodistill
  • Login: autodistill
  • Kind: organization
  • Email: autodistill@roboflow.com

Use bigger slower models to train smaller faster ones

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Dependencies

.github/workflows/publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v2 composite
.github/workflows/test.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v2 composite
.github/workflows/welcome.yml actions
  • actions/first-interaction v1.1.1 composite
setup.py pypi
  • autodistill *
  • numpy *
  • supervision *
  • torch *
  • transformers ==4.25