Cannot predict some files

[akashicMarga]

while predicting some audio file I am getting the following error

Using TensorFlow backend.

Traceback (most recent call last):

  File "predict.py", line 41, in <module>

    predict(cli_args)

  File "predict.py", line 16, in predict

    data = np.stack(data)

  File "/home/gamut/anaconda2/envs/xyz/li/lib/python2.7/site-packages/numpy/core/shape_base.py", line 335, in stack

    raise ValueError('need at least one array to stack')

ValueError: need at least one array to stack

[ibro45]

Hi Aki58, I think the problem is in the dimensionality of the data, it sometimes happens that the generated spectogram images are a bit shorter than supposed. Check this issue that I had and see if you can get something with the Spectrogram generator's small x parameter (the total width of the spectrogram image). Basically what I think is happening to you is that you're trying to predict on an audio file which is converted to a spectrogram but not to the expected dimension and therefore the prediction fails. I unfortunately hadn't had time to make a pull request to this repo, but this change has been applied in the version that I forked

[akashicMarga]

Hi ibro45, Thanks for your help, I also thought that this might be the case as I was providing 2-3 seconds of the audio file to predict. I will make the appropriate changes as suggested by you.

[completelyboofyblitzed]

Hi @ibro45 , Your decision didn't work for me, still getting the same error on some files, some work out fine with both yours and the original code.