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zoo

[source]

decode_predictions function

larq_zoo.decode_predictions(preds, top=5, **kwargs)

Decodes the prediction of an ImageNet model.

Arguments

  • preds: Numpy tensor encoding a batch of predictions.
  • top: Integer, how many top-guesses to return.

Returns

A list of lists of top class prediction tuples (class_name, class_description, score). One list of tuples per sample in batch input.

Raises

  • ValueError: In case of invalid shape of the pred array (must be 2D).

[source]

preprocess_input function

larq_zoo.preprocess_input(image)

Preprocesses a Tensor or Numpy array encoding a image.

Arguments

  • image: Numpy array or symbolic Tensor, 3D.

Returns

Preprocessed Tensor or Numpy array.