aashrafh / Mozart

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

🎶 Convert sheet music to a machine-readable version.

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📝 Table of Contents

• About
• Methodology
• Install
• Technology

🧐 About

The aim of this project is to develop a sheet music reader. This is called Optical Music Recognition (OMR). Its objective is to convert sheet music to a machine-readable version. We take a simplified version where we convert an image of sheet music to a textual representation that can be further processed to produce midi files or audio files like wav or mp3.

💻 Methodology

1. Noise Filtering and Binarization

2. Segmentation

3. Staff Line Detection and Removal

4. Construct The New Staff Lines

5. Symbol Detection and Recognition

🏁 Install

1. You can use the attached notebook for quick testing and visualization.
2. You can setup an environment on your local machine to run the project:
   1. Install Conda
   2. conda env create -f requirements.yml
   3. conda activate mozart
   4. python3 main.py <input directory path> <output directory path>

You can find the dataset on Google Drive.

Please check the following issue for another requirements.yml file.

⛏️ Built Using

• Python 3.8.3
• NumPy
• OpenCV
• scikit-learn
• scikit-image