BandwiseBinaryClassifier is work in progress; TODO: Shape Piping.
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@ -30,7 +30,7 @@ class BinaryMasksDataset(Dataset):
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self._labels = self._build_labels()
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self._wav_folder = self.data_root / 'wav'
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self._wav_files = list(sorted(self._labels.keys()))
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self._mel_folder = self.data_root / 'raw_mel'
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self._mel_folder = self.data_root / 'transformed'
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def _build_labels(self):
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with open(Path(self.data_root) / 'lab' / 'labels.csv', mode='r') as f:
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