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* AutoImageProcessor skeleton * Update references * Add mapping in init * Add model image processors to __init__ for importing * Add AutoImageProcessor tests * Fix up * Image Processor documentation * Remove pdb * Update docs/source/en/model_doc/mobilevit.mdx * Update docs * Don't add whitespace on json files * Remove fixtures * Move checking model config down * Fix up * Add check for image processor * Remove FeatureExtractorMixin in docstrings * Rename model_tmpfile to config_tmpfile * Don't make None if not in image processor map
31 lines
1.2 KiB
Plaintext
31 lines
1.2 KiB
Plaintext
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# Image Processor
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An image processor is in charge of preparing input features for vision models and post processing their outputs. This includes transformations such as resizing, normalization, and conversion to PyTorch, TensorFlow, Flax and Numpy tensors. It may also include model specific post-processing such as converting logits to segmentation masks.
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## ImageProcessingMixin
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[[autodoc]] image_processing_utils.ImageProcessingMixin
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- from_pretrained
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- save_pretrained
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## BatchFeature
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[[autodoc]] BatchFeature
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## BaseImageProcessor
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[[autodoc]] image_processing_utils.BaseImageProcessor
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