libs/solaris/nets/configs/selimsef_densenet121unet_spacenet4.yml [11:102]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
data_specs:
  width: 384
  height:  384
  dtype:
  image_type: zscore
  rescale: false
  rescale_minima: auto
  rescale_maxima: auto
  additional_inputs:
  channels: 4
  label_type: mask
  is_categorical: false
  mask_channels: 3
  val_holdout_frac: 0.2
  data_workers:

training_data_csv: '/path/to/training_df.csv'
validation_data_csv:
inference_data_csv: '/path/to/test_df.csv'

training_augmentation:
  augmentations:
    RandomScale:
      scale_limit:
        - 0.5
        - 1.5
      interpolation: nearest
    Rotate:
      limit:
        - 5
        - 6
      border_mode: constant
      p: 0.3
    RandomCrop:
      height: 416
      width: 416
      always_apply: true
      p: 1.0
    Normalize:
      mean:
        - 0.006479
        - 0.009328
        - 0.01123
        - 0.02082
      std:
        - 0.004986
        - 0.004964
        - 0.004950
        - 0.004878
      max_pixel_value: 65535.0
      p: 1.0
  p: 1.0
  shuffle: true

validation_augmentation:
  augmentations:
    CenterCrop:
      height: 384
      width: 384
      p: 1.0
    Normalize:
      mean:
        - 0.006479
        - 0.009328
        - 0.01123
        - 0.02082
      std:
        - 0.004986
        - 0.004964
        - 0.004950
        - 0.004878
      max_pixel_value: 65535.0
      p: 1.0
  p: 1.0

inference_augmentation:
  augmentations:
    Normalize:
      mean:
        - 0.006479
        - 0.009328
        - 0.01123
        - 0.02082
      std:
        - 0.004986
        - 0.004964
        - 0.004950
        - 0.004878
      max_pixel_value: 65535.0
      p: 1.0
  p: 1.0
training:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



libs/solaris/nets/configs/selimsef_densenet161unet_spacenet4.yml [11:102]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
data_specs:
  width: 384
  height:  384
  dtype:
  image_type: zscore
  rescale: false
  rescale_minima: auto
  rescale_maxima: auto
  additional_inputs:
  channels: 4
  label_type: mask
  is_categorical: false
  mask_channels: 3
  val_holdout_frac: 0.2
  data_workers:

training_data_csv: '/path/to/training_df.csv'
validation_data_csv:
inference_data_csv: '/path/to/test_df.csv'

training_augmentation:
  augmentations:
    RandomScale:
      scale_limit:
        - 0.5
        - 1.5
      interpolation: nearest
    Rotate:
      limit:
        - 5
        - 6
      border_mode: constant
      p: 0.3
    RandomCrop:
      height: 416
      width: 416
      always_apply: true
      p: 1.0
    Normalize:
      mean:
        - 0.006479
        - 0.009328
        - 0.01123
        - 0.02082
      std:
        - 0.004986
        - 0.004964
        - 0.004950
        - 0.004878
      max_pixel_value: 65535.0
      p: 1.0
  p: 1.0
  shuffle: true

validation_augmentation:
  augmentations:
    CenterCrop:
      height: 384
      width: 384
      p: 1.0
    Normalize:
      mean:
        - 0.006479
        - 0.009328
        - 0.01123
        - 0.02082
      std:
        - 0.004986
        - 0.004964
        - 0.004950
        - 0.004878
      max_pixel_value: 65535.0
      p: 1.0
  p: 1.0

inference_augmentation:
  augmentations:
    Normalize:
      mean:
        - 0.006479
        - 0.009328
        - 0.01123
        - 0.02082
      std:
        - 0.004986
        - 0.004964
        - 0.004950
        - 0.004878
      max_pixel_value: 65535.0
      p: 1.0
  p: 1.0
training:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



