Giter VIP home page Giter VIP logo

emotion-detection's Introduction

Emotion Detector

This is a Python program that uses machine learning techniques to detect emotions from video.

Features

  • Detects emotions from video
  • Uses machine learning models to classify emotions
  • Provides detailed results and visualizations

Requirements

  • Python 3.6 or higher
  • deepfake
  • opencv

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/emotion-detector.git
    cd emotion-detector
  2. Install the required dependencies:

    pip install -r requirements.txt
  3. Run the program:

    python main.py

Usage

To use the program, simply run the main.py file and follow the on-screen instructions to input the text or speech data that you want to analyze. The program will then use the trained models to classify the data into different emotions and display the results.

Contributing

Contributions are welcome! Here's how you can contribute to this project:

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.