Wow, I thought the notebook had been uploaded here. In any case, it's available at https://github.com/dccsillag/wss-omr.

Classification dataset link: works, just download and ignore Google Drive being unable to show *.zip files. Segmentation dataset link: available at https://repository.cloudlab.zhaw.ch/artifactory/deepscores/archives/2017/ (download the first archive) (DeepScores itself is now rooted at https://tuggeluk.github.io/downloads/). The SegNet implementation should work fine.

As for inputting a PDF, you need to convert it to a raster image. Maybe use xpdf/mupdf?

This still isn't a robust system. I do plan on working on it at a later date though.

Thank you very much. It i a big help to me. It shows me the great potential of the language. Since I am a complete novice in using the language and music theory. I was struggling with creating user functions.

Daniel

Thanks for writing up this material. Is it possible that you could also supply the notebook that you used for this post. It would help immeasurably in replicating your results. I am having difficulty finding and applying the DeepScores NN

Thank you,

Michael kelly

I have sheet music in a PDF format. I don't how to get into your program, Can someone provide an example?

Classifying the Musical Components For the component classification, we use a ClassifierFunction trained on the DeepScores [^deepscores] [Classification Dataset](https://drive.google.com/file/d/1bdBrX0dAX734I3MA_6-wH_-N2eqq_tf_/view), cropping the images in relation to a lookup table - this is so that the images contain only the actual symbol, and the classifier doesn't learn the context instead of the symbol.

Unfortunately, the classifier trained during the Wolfram Summer Program misclassifies some images; however, it does still provide something that can be worked with.

I am having a hard time getting to the

Classification Dataset](https://drive.google.com/file/d/1bdBrX0dAX734I3MA_6-wH_-N2eqq_tf_/view)