Introducing LiteRT Next: A new set of APIs that improves and simplifies on-device hardware acceleration.

Module: mediapipe_model_maker.model_util.dataset

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Common dataset for model training and evaluation.

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Main aliases

mediapipe_model_maker.face_stylizer.dataset.classification_dataset.ds, mediapipe_model_maker.face_stylizer.face_stylizer.classification_ds.ds, mediapipe_model_maker.face_stylizer.face_stylizer.face_stylizer_options.model_opt.loss_functions.model_util.dataset, mediapipe_model_maker.face_stylizer.face_stylizer.face_stylizer_options.model_opt.loss_functions.model_util.quantization.ds, mediapipe_model_maker.face_stylizer.face_stylizer.loss_functions.model_util.dataset, mediapipe_model_maker.face_stylizer.face_stylizer.loss_functions.model_util.quantization.ds, mediapipe_model_maker.face_stylizer.face_stylizer.model_opt.loss_functions.model_util.dataset, mediapipe_model_maker.face_stylizer.face_stylizer.model_opt.loss_functions.model_util.quantization.ds, mediapipe_model_maker.face_stylizer.face_stylizer.model_util.dataset, mediapipe_model_maker.face_stylizer.face_stylizer.model_util.quantization.ds, mediapipe_model_maker.face_stylizer.face_stylizer_options.model_opt.loss_functions.model_util.dataset, mediapipe_model_maker.face_stylizer.face_stylizer_options.model_opt.loss_functions.model_util.quantization.ds, mediapipe_model_maker.face_stylizer.model_options.loss_functions.model_util.dataset, mediapipe_model_maker.face_stylizer.model_options.loss_functions.model_util.quantization.ds, mediapipe_model_maker.model_util.quantization.ds, mediapipe_model_maker.quantization.ds

Classes

class Dataset: A generic dataset class for loading model training and evaluation dataset.

Other Members
absolute_import	Instance of `__future__._Feature`
division	Instance of `__future__._Feature`
print_function	Instance of `__future__._Feature`

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Last updated 2024-05-07 UTC.