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rse's Issues

MusicNet model weights

Hello. Do you provide pretrained MusicNet model weights? And if so, where it is possible to download them? Thanks!

List if Dependency Versions

Hello, do you by any chance have a complete list of dependency versions?

I am trying to run the software but running into errors in the numpy and resampy libraries when reprocessing a wave file for transcription. Not sure where the problem lies exactly but I thought I good start would be exact versions for all the dependencies. Thank you!

I am trying to convert this wav file: https://drive.google.com/file/d/1TeUdUACeC6OoeUVnWBeLhEfWW4u-FS8M/view?usp=sharing

Some examples of errors:

https://stackoverflow.com/questions/68130038/valueerror-input-signal-length-2-is-too-small-to-resample-from-44100-16000

https://stackoverflow.com/questions/10062954/valueerror-the-truth-value-of-an-array-with-more-than-one-element-is-ambiguous

https://stackoverflow.com/questions/71239896/valueerror-all-the-input-array-dimensions-for-the-concatenation-axis-must-match

When run the parse_file will led to out of memory problem and how to inference

I have already done the training by the Musicnet dataset I use before(the similar resampling and parse), but when I want to test the result, it seems the dataset parse has a different process and result, so I try to use the parse_file.py to get the correct training and testing data.

When I run the command python3 -u parse_file.py, it will be killed at preparing train song 81.
But my system already has 64GB RAM, I wonder is it necessary to spend so much memory or maybe something I didn't set up correctly.
If there is meant to use large memory, I want to know how big it should have.

And I also want to ask how to inference my own music file.

Thank you for taking the time to read my question.

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