{
  "architecture": "mbnetv2",
  "num_classes": 102,
  "num_features": 1280,
  "pretrained_cfg": {
    "crop_mode": "center",
    "first_conv": "layer1[0][0]",
    "classifier": "classifier",
    "num_classes": 102,
    "num_features": 1280,
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ],
    "input_size": [
      3,
      224,
      224
    ]
  }
}