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| import datetime | |
| import tensorflow as tf | |
| import numpy as np | |
| class_names = ['apple_pie', | |
| 'baby_back_ribs', | |
| 'baklava', | |
| 'beef_carpaccio', | |
| 'beef_tartare', | |
| 'beet_salad', | |
| 'beignets', | |
| 'bibimbap', | |
| 'bread_pudding', | |
| 'breakfast_burrito', | |
| 'bruschetta', | |
| 'caesar_salad', | |
| 'cannoli', | |
| 'caprese_salad', | |
| 'carrot_cake', | |
| 'ceviche', | |
| 'cheesecake', | |
| 'cheese_plate', | |
| 'chicken_curry', | |
| 'chicken_quesadilla', | |
| 'chicken_wings', | |
| 'chocolate_cake', | |
| 'chocolate_mousse', | |
| 'churros', | |
| 'clam_chowder', | |
| 'club_sandwich', | |
| 'crab_cakes', | |
| 'creme_brulee', | |
| 'croque_madame', | |
| 'cup_cakes', | |
| 'deviled_eggs', | |
| 'donuts', | |
| 'dumplings', | |
| 'edamame', | |
| 'eggs_benedict', | |
| 'escargots', | |
| 'falafel', | |
| 'filet_mignon', | |
| 'fish_and_chips', | |
| 'foie_gras', | |
| 'french_fries', | |
| 'french_onion_soup', | |
| 'french_toast', | |
| 'fried_calamari', | |
| 'fried_rice', | |
| 'frozen_yogurt', | |
| 'garlic_bread', | |
| 'gnocchi', | |
| 'greek_salad', | |
| 'grilled_cheese_sandwich', | |
| 'grilled_salmon', | |
| 'guacamole', | |
| 'gyoza', | |
| 'hamburger', | |
| 'hot_and_sour_soup', | |
| 'hot_dog', | |
| 'huevos_rancheros', | |
| 'hummus', | |
| 'ice_cream', | |
| 'lasagna', | |
| 'lobster_bisque', | |
| 'lobster_roll_sandwich', | |
| 'macaroni_and_cheese', | |
| 'macarons', | |
| 'miso_soup', | |
| 'mussels', | |
| 'nachos', | |
| 'omelette', | |
| 'onion_rings', | |
| 'oysters', | |
| 'pad_thai', | |
| 'paella', | |
| 'pancakes', | |
| 'panna_cotta', | |
| 'peking_duck', | |
| 'pho', | |
| 'pizza', | |
| 'pork_chop', | |
| 'poutine', | |
| 'prime_rib', | |
| 'pulled_pork_sandwich', | |
| 'ramen', | |
| 'ravioli', | |
| 'red_velvet_cake', | |
| 'risotto', | |
| 'samosa', | |
| 'sashimi', | |
| 'scallops', | |
| 'seaweed_salad', | |
| 'shrimp_and_grits', | |
| 'spaghetti_bolognese', | |
| 'spaghetti_carbonara', | |
| 'spring_rolls', | |
| 'steak', | |
| 'strawberry_shortcake', | |
| 'sushi', | |
| 'tacos', | |
| 'takoyaki', | |
| 'tiramisu', | |
| 'tuna_tartare', | |
| 'waffles'] | |
| def get_classes(): | |
| return class_names | |
| def load_and_prep(image, shape=224, scale=False): | |
| image = tf.image.decode_image(image, channels=3) | |
| image = tf.image.resize(image, size=([shape, shape])) | |
| if scale: | |
| image = image/255. | |
| return image | |
| def preprocess_data(data): | |
| return np.asarray(data).astype(np.float32) |