Mozart
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
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.
? 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.
:computer: 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
- You can use the attached notebook for quick testing and visualization.
- You can setup an environment on your local machine to run the project:
- Install Conda
conda env create -f requirements.yml
conda activate mozart
python3 main.py <input directory path> <output directory path>