preprocessor_config.json

{
  "architecture": "mobilenetv3_large_100",
  "data_config": {
    "crop_mode": "center",
    "crop_pct": 0.875,
    "input_size": [
      3,
      224,
      224
    ],
    "interpolation": "bilinear",
    "mean": [
      0.0,
      0.0,
      0.0
    ],
    "std": [
      1.0,
      1.0,
      1.0
    ]
  },
  "image_processor_type": "TimmWrapperImageProcessor",
  "num_classes": 11221,
  "num_features": 1280,
  "pretrained_cfg": {
    "classifier": "classifier",
    "crop_mode": "center",
    "crop_pct": 0.875,
    "custom_load": false,
    "first_conv": "conv_stem",
    "fixed_input_size": false,
    "input_size": [
      3,
      224,
      224
    ],
    "interpolation": "bilinear",
    "mean": [
      0.0,
      0.0,
      0.0
    ],
    "num_classes": 11221,
    "origin_url": "https://github.com/Alibaba-MIIL/ImageNet21K",
    "paper_ids": "arXiv:2104.10972v4",
    "pool_size": [
      7,
      7
    ],
    "std": [
      1.0,
      1.0,
      1.0
    ],
    "tag": "miil_in21k"
  }
}