libs/solaris/nets/configs/selimsef_densenet121unet_spacenet4.yml [49:102]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    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_scse50unet_spacenet4.yml [83:138]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    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
    # include augmentations here. See the documentation for options and
    # required arguments.
  p: 1.0  # probability of applying the entire training augmentation pipeline.
  shuffle: true  # should the image order be shuffled in each epoch.

validation_augmentation:  # augmentations for use with validation data
  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:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



