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config.txt

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+{
+  "_name_or_path": "/content/drive/MyDrive/Colab Notebooks/transformer_learn/chapter8/model/",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 256,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    32,
+    64,
+    160,
+    256
+  ],
+  "id2label": {
+    "0": "background",
+    "1": "candy",
+    "2": "egg tart",
+    "3": "french fries",
+    "4": "chocolate",
+    "5": "biscuit",
+    "6": "popcorn",
+    "7": "pudding",
+    "8": "ice cream",
+    "9": "cheese butter",
+    "10": "cake",
+    "11": "wine",
+    "12": "milkshake",
+    "13": "coffee",
+    "14": "juice",
+    "15": "milk",
+    "16": "tea",
+    "17": "almond",
+    "18": "red beans",
+    "19": "cashew",
+    "20": "dried cranberries",
+    "21": "soy",
+    "22": "walnut",
+    "23": "peanut",
+    "24": "egg",
+    "25": "apple",
+    "26": "date",
+    "27": "apricot",
+    "28": "avocado",
+    "29": "banana",
+    "30": "strawberry",
+    "31": "cherry",
+    "32": "blueberry",
+    "33": "raspberry",
+    "34": "mango",
+    "35": "olives",
+    "36": "peach",
+    "37": "lemon",
+    "38": "pear",
+    "39": "fig",
+    "40": "pineapple",
+    "41": "grape",
+    "42": "kiwi",
+    "43": "melon",
+    "44": "orange",
+    "45": "watermelon",
+    "46": "steak",
+    "47": "pork",
+    "48": "chicken duck",
+    "49": "sausage",
+    "50": "fried meat",
+    "51": "lamb",
+    "52": "sauce",
+    "53": "crab",
+    "54": "fish",
+    "55": "shellfish",
+    "56": "shrimp",
+    "57": "soup",
+    "58": "bread",
+    "59": "corn",
+    "60": "hamburg",
+    "61": "pizza",
+    "62": " hanamaki baozi",
+    "63": "wonton dumplings",
+    "64": "pasta",
+    "65": "noodles",
+    "66": "rice",
+    "67": "pie",
+    "68": "tofu",
+    "69": "eggplant",
+    "70": "potato",
+    "71": "garlic",
+    "72": "cauliflower",
+    "73": "tomato",
+    "74": "kelp",
+    "75": "seaweed",
+    "76": "spring onion",
+    "77": "rape",
+    "78": "ginger",
+    "79": "okra",
+    "80": "lettuce",
+    "81": "pumpkin",
+    "82": "cucumber",
+    "83": "white radish",
+    "84": "carrot",
+    "85": "asparagus",
+    "86": "bamboo shoots",
+    "87": "broccoli",
+    "88": "celery stick",
+    "89": "cilantro mint",
+    "90": "snow peas",
+    "91": " cabbage",
+    "92": "bean sprouts",
+    "93": "onion",
+    "94": "pepper",
+    "95": "green beans",
+    "96": "French beans",
+    "97": "king oyster mushroom",
+    "98": "shiitake",
+    "99": "enoki mushroom",
+    "100": "oyster mushroom",
+    "101": "white button mushroom",
+    "102": "salad",
+    "103": "other ingredients"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    " cabbage": 91,
+    " hanamaki baozi": 62,
+    "French beans": 96,
+    "almond": 17,
+    "apple": 25,
+    "apricot": 27,
+    "asparagus": 85,
+    "avocado": 28,
+    "background": 0,
+    "bamboo shoots": 86,
+    "banana": 29,
+    "bean sprouts": 92,
+    "biscuit": 5,
+    "blueberry": 32,
+    "bread": 58,
+    "broccoli": 87,
+    "cake": 10,
+    "candy": 1,
+    "carrot": 84,
+    "cashew": 19,
+    "cauliflower": 72,
+    "celery stick": 88,
+    "cheese butter": 9,
+    "cherry": 31,
+    "chicken duck": 48,
+    "chocolate": 4,
+    "cilantro mint": 89,
+    "coffee": 13,
+    "corn": 59,
+    "crab": 53,
+    "cucumber": 82,
+    "date": 26,
+    "dried cranberries": 20,
+    "egg": 24,
+    "egg tart": 2,
+    "eggplant": 69,
+    "enoki mushroom": 99,
+    "fig": 39,
+    "fish": 54,
+    "french fries": 3,
+    "fried meat": 50,
+    "garlic": 71,
+    "ginger": 78,
+    "grape": 41,
+    "green beans": 95,
+    "hamburg": 60,
+    "ice cream": 8,
+    "juice": 14,
+    "kelp": 74,
+    "king oyster mushroom": 97,
+    "kiwi": 42,
+    "lamb": 51,
+    "lemon": 37,
+    "lettuce": 80,
+    "mango": 34,
+    "melon": 43,
+    "milk": 15,
+    "milkshake": 12,
+    "noodles": 65,
+    "okra": 79,
+    "olives": 35,
+    "onion": 93,
+    "orange": 44,
+    "other ingredients": 103,
+    "oyster mushroom": 100,
+    "pasta": 64,
+    "peach": 36,
+    "peanut": 23,
+    "pear": 38,
+    "pepper": 94,
+    "pie": 67,
+    "pineapple": 40,
+    "pizza": 61,
+    "popcorn": 6,
+    "pork": 47,
+    "potato": 70,
+    "pudding": 7,
+    "pumpkin": 81,
+    "rape": 77,
+    "raspberry": 33,
+    "red beans": 18,
+    "rice": 66,
+    "salad": 102,
+    "sauce": 52,
+    "sausage": 49,
+    "seaweed": 75,
+    "shellfish": 55,
+    "shiitake": 98,
+    "shrimp": 56,
+    "snow peas": 90,
+    "soup": 57,
+    "soy": 21,
+    "spring onion": 76,
+    "steak": 46,
+    "strawberry": 30,
+    "tea": 16,
+    "tofu": 68,
+    "tomato": 73,
+    "walnut": 22,
+    "watermelon": 45,
+    "white button mushroom": 101,
+    "white radish": 83,
+    "wine": 11,
+    "wonton dumplings": 63
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1"
+}

preprocessor_config.txt

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+{
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9564c42841805153b4d5adca30b2357bbca049843f12f905adb3ea580d6a526c
+size 15033741

widget.txt

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+input:"https://raw.githubusercontent.com/bpbpublications/Building-Transformer-Models-with-PyTorch/main/chapter8/food_image.jpg"
+output:"https://raw.githubusercontent.com/bpbpublications/Building-Transformer-Models-with-PyTorch/main/chapter8/food_image_segmented.png"