Passport Image Creator

Overview

This project is a Streamlit web application that automatically converts user-uploaded images into passport-style photos. The application streamlines the process of creating passport photos by performing background removal, face detection, and appropriate cropping and padding.

Key Features

• Automatic Background Removal: Utilizes the MODNet ONNX model to accurately remove the background from an input image.
• Face Detection: Employs the MediaPipe Face Detection library to identify the face in the image, ensuring the final photo is correctly centered.
• Passport-Style Cropping: Crops the image around the detected face with proportional padding to meet standard passport photo requirements.
• Background Replacement: Adds a solid blue background, a common requirement for passport photos.
• Web-Based Interface: A user-friendly interface built with Streamlit for easy image uploading and processing.

Architecture

The application follows a simple, single-module architecture containing the Streamlit Frontend (main.py) for the UI, an Image Processing Service pipeline, a MODNet ONNX Model for background segmentation, and MediaPipe for Face Detection logic. All orchestrated using Python.