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As pointed out by @NielsRogge, a feature extractor is used to prepare inputs for a model with a single modality rather than multimodal models.
39 lines
1.3 KiB
Plaintext
39 lines
1.3 KiB
Plaintext
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# Feature Extractor
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A feature extractor is in charge of preparing input features for audio or vision models. This includes feature extraction
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from sequences, *e.g.*, pre-processing audio files to Log-Mel Spectrogram features, feature extraction from images
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*e.g.* cropping image image files, but also padding, normalization, and conversion to Numpy, PyTorch, and TensorFlow
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tensors.
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## FeatureExtractionMixin
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[[autodoc]] feature_extraction_utils.FeatureExtractionMixin
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- from_pretrained
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- save_pretrained
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## SequenceFeatureExtractor
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[[autodoc]] SequenceFeatureExtractor
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- pad
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## BatchFeature
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[[autodoc]] BatchFeature
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## ImageFeatureExtractionMixin
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[[autodoc]] image_utils.ImageFeatureExtractionMixin
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