Comments (1)
Hi, thanks for checking it out!
Yes, I should clarify in the readme that this is a direct port - the embeddings that are created using torchvggish are identical to those created by the original vggish model.
I'm currently refactoring the code ready for a v1 release which should make things clearer & easier to use.
from torchvggish.
Related Issues (20)
- convert the pca state dict to torch
- VGGish should compose a VGG instead of inherit from it
- Provide setup.py so pip install still works HOT 1
- GPU version support? HOT 10
- 'Tensor' object has no attribute 'T' HOT 1
- Could you add a license file? HOT 2
- Output size HOT 4
- Original vggish vs this.. HOT 2
- How to load raw audio file HOT 2
- About the preprocess
- how to feed model batch inputs ? HOT 3
- Modify torchvggish.vggish_params.EXAMPLE_HOP_SECONDS after (or before) model load?
- Pre-activation as output of VGGish HOT 1
- URL Error HOT 1
- Missing activations. HOT 4
- PCA post-processing removes gradient from embeddings HOT 1
- Diff between the pytorchvggish and tensorflowvggish HOT 3
- Provide better documentation HOT 1
- How to use this code for training on my own dataset? HOT 1
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from torchvggish.