Oemer (End-to-end OMR)

End-to-end Optical Music Recognition system build on deep learning models and machine learning techniques. Default to use Onnxruntime for model inference. If you want to use tensorflow for the inference, run export INFERENCE_WITH_TF=true and make sure there is TF installed.

Quick Start

git clone https://github.com/meteo-team/oemer
cd oemer
python setup.py install
oemer --help

Or download the built wheel file from the release and install

# Go to the release page and download the .whl file from
# the assets.

# Replace the <version> to the correct version.
pip install Oemer-<version>-py3-none-any.whl

Packaging

python setup.py bdist_wheel

# Install from the wheel file
pip install dist/Oemer-<version>-py3-none-any.whl

Change log level

# Available options: debug, info, warn, warning, error, crtical
export LOG_LEVEL=debug