Project Usage Guide

Introduction

This project is designed for extracting features from images and creating feature vectors for each image in a database. This README provides instructions on how to use the project effectively.

Setup

1. Clone the Repository:

   git clone git@github.com:merronmuche/vision_search.git
   

2. Navigate to Project Directory:

   cd vision_search
   

3. Create Virtual Environment:

   virtualenv venv
   

4. Activate Virtual Environment:

   source venv/bin/activate
   

5. Install Requirements:

   pip install -r requirements.txt
   

Usage

1. Run Model Extraction Script: Execute model_extraction.py file to initiate the extraction process. This script extracts features from images.

2. Upload Images via Admin Page: Navigate to the admin page and upload images. This step is essential for creating feature vectors for the uploaded images.

3. Create Feature Vectors: Access the /create/ route to create feature vectors for each image in the database. This step should be performed every time a new image is uploaded.

Notes

• Ensure that the virtual environment is activated before executing any scripts or commands related to the project.
• Refer to the project documentation or source code for additional details on specific functionalities or configurations.
• For further assistance or inquiries, feel free to contact the project maintainers.