# Feature Extractor

A feature extractor is in charge of preparing input features for audio or vision models. This includes feature extraction from sequences, e.g., pre-processing audio files to generate Log-Mel Spectrogram features, feature extraction from images, e.g., cropping image files, but also padding, normalization, and conversion to NumPy, PyTorch, and TensorFlow tensors.

## FeatureExtractionMixin

[[autodoc]] feature_extraction_utils.FeatureExtractionMixin

    - from_pretrained

    - save_pretrained

## SequenceFeatureExtractor

[[autodoc]] SequenceFeatureExtractor

    - pad

## BatchFeature

[[autodoc]] BatchFeature

## ImageFeatureExtractionMixin

[[autodoc]] image_utils.ImageFeatureExtractionMixin