Sheet Music Sight-Reader

This project implements a computer vision pipeline for detecting musical symbols from a scanned or photographed music sheet. It is part of the ROB-UY 3203 Robot Vision course project.

Project Overview

• Detect staff lines in a music sheet
• Segment individual notes and symbols
• Identify and classify different musical elements (e.g., quarter notes, half notes)

Pipeline

1. Image preprocessing (grayscale conversion, binarization)
2. Staff line detection using morphological operations
3. Line removal and segmentation
4. Symbol extraction and filtering

Files

• Music_sheet_detector.ipynb: Main Jupyter notebook containing the full image processing pipeline
• sample_sheet.jpg: Example input image used for testing the detector

Requirements

• numpy
• opencv-python
• matplotlib

Install dependencies

pip install numpy opencv-python matplotlib

How to Run

1. Clone the repository:

git clone https://github.com/Do-Gon/ROB-UY-3203-Robot-Vision-Project.git
cd ROB-UY-3203-Robot-Vision-Project

2. Open the notebook:

jupyter notebook Music_sheet_detector.ipynb

3. Run the cells to see the detection pipeline in action.