Maistro is an advanced Optical Music Recognition (OMR) system that converts sheet music images into a digital format. The project uses deep learning and computer vision techniques to detect and classify musical elements.
maistro/
├── data-processing/ # Scripts for image preprocessing
├── model-training/ # Model training and evaluation code
│ ├── raw-data/ # Original sheet music images
│ └── scripts/ # Training scripts
├── docs/ # Documentation and diagrams
└── tests/ # Test suite
- Real-time collaborative sheet music editing
- Advanced sheet music detection using YOLOv11
- GPU-accelerated inference for fast processing
- Secure authentication and authorization
- Export to various formats
- Pay-per-export billing model
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✅ Project Setup
- Repository structure
- Development environment
- Dependencies management
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✅ Data Collection
- Sheet music images gathered
- Preprocessing pipeline established
- Image quality verification
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✅ Roboflow Integration
- Project setup: "sheet-music-omr"
- Dataset uploaded (155 images)
- Split ratios: 70% train, 20% test, 10% validation
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🔄 Model Development (In Progress)
- Object detection approach chosen
- Annotation process planning
- Training pipeline setup
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Automated Annotation
- Implement automated annotation scripts
- Verify and correct annotations
- Export labeled dataset
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Model Training
- Train initial object detection model
- Evaluate performance
- Iterate and improve
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Inference Pipeline
- Develop inference scripts
- Create API endpoints
- Build web interface
The sheet music detection model uses YOLOv11 and is trained on our custom dataset. To train the model:
- Install dependencies:
pip install -r requirements.txt-
Configure your Roboflow API key in
.env -
Train the model:
python model-training/scripts/train_model.pyThe model is optimized for NVIDIA GPUs and uses:
- Mixed precision training (FP16)
- Image caching for faster training
- Multi-threaded data loading
- Python 3.8+
- Roboflow
- OpenCV
- PyTorch
- Other requirements in
requirements.txt
- Clone the repository
git clone https://github.com/yourusername/maistro.git
cd maistro- Install dependencies
pip install -r requirements.txt- Set up environment variables
cp .env.example .env
# Edit .env with your API keys- Data Processing
python data-processing/preprocess_images.py- Model Training
python model-training/scripts/train.pyContributions are welcome! Please read our contributing guidelines and submit pull requests.
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