This repository hosts the Python implementation of a simple image querying system demonstrated across two Jupyter notebooks. It is designed to allow users to search for images based on visual similarity.
The prototype consists of three core components:
- Embedding Generator: This module generates embeddings for images stored in our database, which helps in transforming visual content into a comparable vector form.
- Query Image Embedding Creator: This module is responsible for generating embeddings for the images users query, enabling a matchable format against the database embeddings.
- Query Matcher: This module compares embeddings from the query image against those in the database to find and return the most similar images.
To run the notebooks and experiment with the image querying system:
jupyter notebookContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
To contribute:
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
If you have any questions about the project or want to discuss further collaborations, feel free to reach out. Contact me via:
- Email: hossein.h.hameed@gmail.com
This project is licensed under the Apache License 2.0 .