Created
April 20, 2019 13:26
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Performing data augmentation for data downloaded using TFDS
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| def augment_data(image, label): | |
| print("Augment data called!") | |
| image = tf.image.random_flip_left_right(image) | |
| image = tf.image.random_contrast(image, lower=0.0, upper=1.0) | |
| # Add more augmentation of your choice | |
| return image, label | |
| train = train.map(augment_data) |
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