ml-illustrated/pytorch-coreml-spectrogram

Repo accompanying the blog post "How to Deploy PyTorch Models with Core ML Conversion Issues"

Pytorch-CoreML-Spectrogram

Repo accompanying the blog post "How to Deploy PyTorch Models with Core ML Conversion Issues (Part 2)" This example code converts a Pytorch model to Core ML and displays the output melspectrogram in an iOS app.

pytorch-coreml-spectrogram's Issues

App crashes until when forwarding the raw outputs to wave__melspecOutput

Hi,

thank you for the great article, demonstrating a end-to-end audio use case. I've tried to build and run the demo app and found that it crashes upon calling the wave__melspecOutput init with outFeatures. Everything before this, like f.i. downsampling, seems to work fine.

Did you experience anything similar to this?