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vevurka 7b211323f2
DVC zipped dataset d2
2 years ago
380bc7da23
Added notebooks with preprocessing and model
2 years ago
5861ac274e
Data d2
2 years ago
cb55b18f53
Notebook 09 with model
2 years ago
e42bd6b87a
Notebook with applying model 06_v3 to my pieces
2 years ago
7b211323f2
DVC zipped dataset d2
2 years ago
5861ac274e
Data d2
2 years ago
08b4b1d3ff
Initial commit
2 years ago
d565179218
Updated readme with development section
2 years ago
7b211323f2
DVC zipped dataset d2
2 years ago
7b211323f2
DVC zipped dataset d2
2 years ago
e42bd6b87a
Notebook with applying model 06_v3 to my pieces
2 years ago
d565179218
Updated readme with development section
2 years ago
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README.md

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Barline Detection

Development

Usage of MLFlow

To use MLFlow you need to set the environment variables with credentails.

Setting up Environment Variables

In the jupyter notebook root directory create .env file with the following environment variables:

  • MLFLOW_TRACKING_USERNAME
  • MLFLOW_TRACKING_PASSWORD
  • MLFLOW_TRACKING_URI

Using Environment Variables

To load the variables in the notebook use:

from dotenv import load_dotenv

load_dotenv()

Enable jupyter extensions for progress bars, etc

$ pip install -r requirements_dev.txt

jupyter nbextension enable --py widgetsnbextension

jupyter labextension install @jupyter-widgets/jupyterlab-manager

Tip!

Press p or to see the previous file or, n or to see the next file

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Object detection of barlines from the music sheet.

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