image_gen.py

data_generator = keras_image.ImageDataGenerator(shear_range=0.3, 
                                                zoom_range=0.3,
                                                rotation_range=30,
                                                horizontal_flip=True)

dg_history = model.fit_generator(data_generator.flow(x_train, y_train, batch_size=64),
                                 steps_per_epoch = len(x_train)//64, epochs=7, verbose=2, 
                                 validation_data=(x_valid, y_valid),
                                 callbacks=[checkpointer,lr_reduction])