https://github.com/saritaphd/face-dissimilarity-detection-using-siamese-network

This project utilizes a Siamese Network to measure the dissimilarity between faces in an image dataset.
https://github.com/saritaphd/face-dissimilarity-detection-using-siamese-network

Last synced: 3 days ago
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This project utilizes a Siamese Network to measure the dissimilarity between faces in an image dataset.

• Host: GitHub
• URL: https://github.com/saritaphd/face-dissimilarity-detection-using-siamese-network
• Owner: SaritaPhD
• License: mit
• Created: 2024-10-21T05:27:33.000Z (29 days ago)
• Default Branch: main
• Last Pushed: 2024-11-14T21:09:44.000Z (5 days ago)
• Last Synced: 2024-11-14T22:19:40.011Z (5 days ago)
• Language: Jupyter Notebook
• Size: 1.16 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Face Dissimilarity Detection using Siamese Network

This project implements a Siamese neural network to detect dissimilarity between two face images using PyTorch and Streamlit for easy user interaction. The model is trained to differentiate between faces of different individuals.

## Project Structure

- `src/dataset.py`: Dataset class for loading and transforming image data.

- `src/network.py`: Defines the Siamese neural network and contrastive loss function.

- `src/train.py`: Script for training the model.

- `src/test.py`: Script for testing the model.

- `src/utils.py`: Helper functions for visualization.

- `app.py`: Streamlit app for making predictions.

## How to Run

1. Install the dependencies:

   ```bash

   pip install -r requirements.txt

2. Run the Streamlit app:

   ```bash

   streamlit run app.py

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