BE KIND, WE'RE STILL IN BETA 🚧

Welcome to our Emotion Detection and Music Player application! 🎵 This application leverages computer vision and deep learning to detect emotions and play corresponding music.

Requirements 📋

System Requirements:

• Python 3.x installed on your system.

Python Libraries:

• tkinter: For GUI development.
• opencv-python: For computer vision tasks.
• numpy: For numerical computations.
• pygame: For playing music.
• keras: For loading a pre-trained emotion recognition model.
• PIL: Python Imaging Library for image processing.

Additional Libraries for Music Management:

• os: For file system operations such as copying and deleting music files.
• threading: For handling concurrent execution.

How to Use 🚀

1. Run the Application:

   • Open a terminal or command prompt.
   • Navigate to the directory where the Python script is saved.
   • Run the script using the command:

     python <main>.py

2. Load Camera:

   • Click on the Load Camera button to initialize the webcam.
   • If multiple cameras are available, select the desired one from the drop-down menu.

3. Detect Emotion:

   • After loading the camera, click on the Detect Emotion button to start the emotion detection process.
   • The application will continuously analyze the webcam feed to detect faces and emotions.

4. Enjoy Music:

   • Based on the detected emotion, the application will play corresponding music.
   • Each emotion has its predefined music file stored in the Music folder.

5. Load Music:

   • Click on the Load Music button to load music files corresponding to different emotions.
   • Ensure that the music files are correctly labeled and stored in the Music folder.

6. Upload Music:

   • Click on the Upload Music button to add new music files to the Music folder.
   • Select the music files from your system's file browser and click Open to upload them.

7. Delete Music:

   • Select the music file you want to delete from the list of loaded music files.
   • Click on the Delete Music button to remove the selected music file from the Music folder.

8. Stop Detection:

   • Click on the Stop button to pause the emotion detection process.

9. Toggle Full Screen:

   • Click on the Full Screen button to switch between full-screen and windowed mode.

10. Exit Application:

    • Click on the Exit button to close the application.
    • Ensure to stop emotion detection before exiting to release the camera resources.

Notes 📓

• Ensure that the required emotion detection model (modelv1.h5) is present in the specified location.
• Music files corresponding to different emotions should be stored in the Music folder.
• The application uses pre-trained Haar cascade for face detection and a CNN model for emotion recognition.
• Adjust the aspect ratio and size thresholds in the detect_emotion function based on your requirements.
• You can customize the music files and their associations with different emotions in the play_music function.

Libraries Used 📚

• tkinter: For GUI development.
• cv2: OpenCV library for computer vision tasks.
• numpy: For numerical computations.
• pygame: For playing music.
• keras.models: For loading a pre-trained emotion recognition model.
• os: For operating system operations.
• threading: For handling concurrent execution.
• PIL: Python Imaging Library for image processing.

Functions and Classes 📄

1. load_music():

   • Function to load music files corresponding to different emotions from the Music folder.
   • This function can be called when the application starts or when the Load Music button is clicked.

2. upload_music():

   • Function to upload new music files to the Music folder.
   • This function can be triggered when the Upload Music button is clicked.
   • It should open a file dialog to allow the user to select one or more music files from their system.
   • Once selected, the function should copy the chosen music files to the Music folder.

3. delete_music(file_name):

   • Function to delete a specific music file from the Music folder.
   • This function can be called when the Delete Music button is clicked and a music file is selected from the list.
   • It should remove the selected music file from the Music folder.

4. MusicController:

   • Class to handle music-related operations such as loading, uploading, and deleting music files.
   • It can have methods like load_music, upload_music, and delete_music.

5. GUI (or any main application class):

   • Modify the existing GUI class or create a new one to include buttons for loading, uploading, and deleting music files.
   • Bind these buttons to the corresponding functions in the MusicController.

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Thank you for trying our application! Your feedback is valuable to us. 🧡