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mattmdjaga
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segformer_b2_clothes

Image Segmentation
Transformers
PyTorch
ONNX
Safetensors
segformer
vision
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20
segformer_b2_clothes
File size: 1,727 Bytes 
45c27ab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "nvidia/mit-b2",
  "architectures": [
    "SegformerForSemanticSegmentation"
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "decoder_hidden_size": 768,
  "depths": [
    3,
    4,
    6,
    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": "Background",
    "1": "Hat",
    "2": "Hair",
    "3": "Sunglasses",
    "4": "Upper-clothes",
    "5": "Skirt",
    "6": "Pants",
    "7": "Dress",
    "8": "Belt",
    "9": "Left-shoe",
    "10": "Right-shoe",
    "11": "Face",
    "12": "Left-leg",
    "13": "Right-leg",
    "14": "Left-arm",
    "15": "Right-arm",
    "16": "Bag",
    "17": "Scarf"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Background": 0,
    "Bag": 16,
    "Belt": 8,
    "Dress": 7,
    "Face": 11,
    "Hair": 2,
    "Hat": 1,
    "Left-arm": 14,
    "Left-leg": 12,
    "Left-shoe": 9,
    "Pants": 6,
    "Right-arm": 15,
    "Right-leg": 13,
    "Right-shoe": 10,
    "Scarf": 17,
    "Skirt": 5,
    "Sunglasses": 3,
    "Upper-clothes": 4
  },
  "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": "4.24.0"
}