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RetroSpectra is a real-time facial emotion detection application. It uses Convolutional Neural Network (CNN) to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.

License: Apache License 2.0

Python 4.05% HTML 90.93% JavaScript 4.27% CSS 0.74%
digital-image-processing llm machine-learning python cnn cnn-keras convolutional-neural-networks neural-networks github-copilot learn

retrospectra's Introduction

All the data/images that are used to train this model lies in this zip.

How to run

Follow these steps to set up and run the project:

  1. Navigate to your project directory in the terminal.

  2. Create a virtual environment:

    python -m venv venv
  3. Activate the virtual environment:

    • On Windows

      .\venv\Scripts\activate
    • On Unix or MacOS

      source venv/bin/activate
  4. Install the required packages:

    pip install -r requirements.txt
  5. When you're done working in the virtual environment for the moment, you can deactivate it:

    deactivate
  6. Run the app:

    python app.py

retrospectra's People

Contributors

kasanaa avatar

Stargazers

qianchengliu avatar Dev avatar  avatar  avatar

Watchers

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retrospectra's Issues

Can we Add Deepface library to this.

Deepface wraps up the different state of art algorithms and have out performing accuracies when compared to other models.
It facilitates Face Detection, Face Recognition and Facial Attribute analysis. and the cool thing is it much lighter framework such that all activities can be done in a single file.

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