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num_samples should be a positive integer value, but got num_samples=0

See original GitHub issue

I’m trying to use my own data for training with the FixedSourcesTrackFolderDataset. Unfortunatly, the data doesn’t seem to be recognized or found by the dataloader. I am using normal wav files (not stems), organized in the following folder structure:

   dataset
         valid
              0
                guitar.wav
                piano.wav
                ...
              1
              2
              ...
         train
              3
                guitar.wav
                piano.wav
                ...
              4
              5
              ...

Next, I issue: python train.py --root /path/to/dataset --dataset trackfolder_fix --target-file piano.wav --interferer-files cello.wav guitar.wav hi-hat.wav

The following error is thrown: ValueError: num_samples should be a positive integer value, but got num_samples=0

Is this a problem with the format (folder structure) in which the data is provided? From reading the documentation I can’t figure out if a Pytorch dataclass has to be created beforehand or not. If so, how does that fit into the folder structure?

Issue Analytics

State:
Created 4 years ago
Comments:10 (6 by maintainers)

Top GitHub Comments

1reaction

faroitcommented, Jan 27, 2020

@loxosceles sorry for the long delay, I will look into it this week

0reactions

eranmenachemcommented, Mar 10, 2020

yes, thank you!

On Tue, Mar 10, 2020 at 12:51 PM Fabian-Robert Stöter < notifications@github.com> wrote:

@eranmenachem https://github.com/eranmenachem can this be closed?

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