Created
June 18, 2019 05:53
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Use to demonstrate the ImageDataGenerator class and flow_from_directory() method
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| training_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=1./255., | |
| rotation_range=30, | |
| zoom_range=0.3, | |
| width_shift_range=0.2, | |
| height_shift_range=0.2, | |
| fill_mode='nearest', | |
| horizontal_flip=True) | |
| validation_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=1./255.) | |
| testing_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=1./255.) | |
| training_generator = training_datagen.flow_from_directory('../data/Train/', | |
| target_size=IMAGE_SIZE, | |
| batch_size=32, | |
| color_mode='rgb', | |
| shuffle=True, | |
| seed=SEED) | |
| validatation_generator = validation_datagen.flow_from_directory('../data/Eval/', | |
| target_size=IMAGE_SIZE, | |
| batch_size=32, | |
| color_mode='rgb', | |
| shuffle=True, | |
| seed=SEED) | |
| testing_generator = testing_datagen.flow_from_directory('../data/Test/', | |
| target_size=IMAGE_SIZE, | |
| batch_size=1, | |
| shuffle=False, | |
| color_mode='rgb', | |
| seed=SEED) |
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