Attempt conversion to Numpy array before converting to Tensor
Signed-off-by: Jim Martens <github@2martens.de>
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@ -277,7 +277,7 @@ def load_scenenet_val(photo_paths: Sequence[Sequence[str]],
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length_dataset = len(final_image_paths)
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length_dataset = len(final_image_paths)
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path_dataset = tf.data.Dataset.from_tensor_slices(final_image_paths)
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path_dataset = tf.data.Dataset.from_tensor_slices(final_image_paths)
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label_dataset = tf.data.Dataset.from_tensor_slices(final_labels)
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label_dataset = tf.data.Dataset.from_tensor_slices(np.ndarray(final_labels))
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dataset = tf.data.Dataset.zip((path_dataset, label_dataset))
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dataset = tf.data.Dataset.zip((path_dataset, label_dataset))
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dataset = dataset.apply(tf.data.experimental.shuffle_and_repeat(buffer_size=length_dataset, count=num_epochs))
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dataset = dataset.apply(tf.data.experimental.shuffle_and_repeat(buffer_size=length_dataset, count=num_epochs))
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dataset = dataset.batch(batch_size=batch_size)
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dataset = dataset.batch(batch_size=batch_size)
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