{
  "framework": "pytorch",
  "image_size": 224,
  "resize_method": "bilinear",
  "crop_method": "resize_only",
  "normalization_mean": [
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  "old_preprocessing": "resize224-scale1over255",
  "new_preprocessing": "resize224-imagenet_norm",
  "encoder": "DenseNet201",
  "encoder_weights": "IMAGENET1K_V1",
  "spatial_feature_shape": [
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  "feature_extraction_batch_size": 32,
  "total_images": 8091,
  "device": "cuda"
}