Update on the config.yaml of the pretrained unet

[zwep]

Describe the bug
When I solved the previous issue, and still in the same setting, other errors came up that relate to my first issue.

These include errors such as

omegaconf.errors.ConfigKeyError: Key 'scaling_key' not in 'TransformsConfig'
    full_key: inference.dataset.transforms.scaling_key
    reference_type=BaseConfig
    object_type=TransformsConfig

To resolve these I needed to adapt the provided config.yaml file that I downloaded from the model-zoo to the following:

...
inference:
  dataset:
    name: CalgaryCampinas
    lists: []
    regex_filter: null
    transforms:
      cropping:
        crop: null
        crop_type: uniform
        image_center_crop: true
      sensitivity_map_estimation:
        estimate_sensitivity_maps: true
        sensitivity_maps_gaussian: 0.7
      estimate_body_coil_image: false      
      pad_coils: null
      normalization:
        scaling_key: masked_kspace
      masking:
        name: ???
        accelerations:
        - 4
        center_fractions:
        - 0.08
        uniform_range: false
        image_center_crop: false
        val_accelerations:
        - 4
        - 8
        val_center_fractions:
        - 0.08
        - 0.04
    text_description: inference
    input_kspace_key: null
    input_image_key: null
    kspace_context: 0
    pass_mask: false
    crop_outer_slices: true
  batch_size: 8
...

Here I paste only the relevant part that contained the changes.

Environment
dlup version: Not installed.
direct version: 1.0.5.dev0
How installed: using conda
Python version: 3.9
Operating System:
NAME="Debian GNU/Linux"
VERSION_ID="11"
VERSION="11 (bullseye)"
VERSION_CODENAME=bullseye

[georgeyiasemis]

Will be fixed so that the config works