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segformer-b4

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segformer
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segformer-b4
File size: 1,872 Bytes 
9c82030
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "nvidia/mit-b4",
  "architectures": [
    "SegformerForSemanticSegmentation"
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "decoder_hidden_size": 768,
  "depths": [
    3,
    8,
    27,
    3
  ],
  "downsampling_rates": [
    1,
    4,
    8,
    16
  ],
  "drop_path_rate": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_sizes": [
    64,
    128,
    320,
    512
  ],
  "id2label": {
    "0": "unlabeled",
    "1": "Pizza",
    "2": "Apple",
    "3": "Brownie",
    "4": "Lettuce",
    "5": "Pasta",
    "6": "Sweet Potato Fries",
    "7": "Beans",
    "8": "Beef",
    "9": "Bread",
    "10": "Cake",
    "11": "Chicken",
    "12": "Corn",
    "13": "Green_bean",
    "14": "Hot_dog_bun",
    "15": "Pork",
    "16": "Potato",
    "17": "Rice",
    "18": "Spinach",
    "19": "Taco",
    "20": "Plate",
    "21": "jalapeno"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Apple": 2,
    "Beans": 7,
    "Beef": 8,
    "Bread": 9,
    "Brownie": 3,
    "Cake": 10,
    "Chicken": 11,
    "Corn": 12,
    "Green_bean": 13,
    "Hot_dog_bun": 14,
    "Lettuce": 4,
    "Pasta": 5,
    "Pizza": 1,
    "Plate": 20,
    "Pork": 15,
    "Potato": 16,
    "Rice": 17,
    "Spinach": 18,
    "Sweet Potato Fries": 6,
    "Taco": 19,
    "jalapeno": 21,
    "unlabeled": 0
  },
  "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": "4.25.1"
}