Comments (2)
NickleDave
commented on June 6, 2024
hesitant about this because librosa is probably a "big" dependency
would rather just e.g. have a tutorial showing how to use librosa to generate specs for training data, then use those with vak
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NickleDave
commented on June 6, 2024
plan is to make a separate library for vocal data munging / prep that will allow librosa as an optional "backend".
so closing this for now
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Related Issues (20)
- ENH: Add task-specific dataset prep / classes HOT 2
- ENH: canonicalize dataset preparation (further) such that datasets can always be in-memory / memory mapped
- ENH: Make pre-trained model functionality more flexible, clearer
- ENH: Make it possible to train using WindowDataset with stride option
- ENH: Add `model_path` option to config for eval + predict, use in place of `checkpoint_path`, `spect_scaler`, etc.
- Declare/formalize a model file format
- ENH: Add AVA models and datasets HOT 9
- BUG: vak prep fails for learncurve when train_set_durs and replicates are not in prep section HOT 1
- ENH: Add Params dataclasses for high-level functions
- CLN: Catch audio channels > 1 in prep.frame_classification and raise a clear error
- DOC: Add Yang Carstens Provost 2023 + Koparkar et al 2023 to pubs section of about page HOT 1
- ENH: Add ability to specify function/callable to make spectrogram during prep step
- DEV/ENH: Switch to using tomlkit
- DOC: Better document spectrogram options, e.g. with a how-to + link to API + reference docs
- BUG: Running vak 1.0.0a1 with device set to CPU crashes HOT 6
- Finish Parametric UMAP model + add datasets
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- TST/CLN: Further clean up / refactor how we generate test data
- DOC/CLN: revise/fix API docs for 1.0.0
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