configs/evaluation/projects/bridging/_preprocessing_coco.yaml

# @package _global_
# Preprocessing for evaluating on COCO with 80 things classes.
#
# Masks are in original image resolution.
dataset:
  eval_transforms:
    03a_preprocessing:
      _target_: ocl.transforms.Map
      transform:
        _target_: torchvision.transforms.Compose
        transforms:
          - _target_: ocl.preprocessing.InstanceMasksToDenseMasks
          - _target_: ocl.preprocessing.AddSegmentationMaskFromInstanceMask
          - _target_: ocl.preprocessing.AddEmptyMasks
            mask_keys:
              - instance_mask
              - segmentation_mask
          - _target_: ocl.preprocessing.CanonicalizeBboxes
            format: xywh
          - _target_: ocl.preprocessing.AddEmptyBboxes
          - _target_: ocl.preprocessing.DropEntries
            keys:
              - instance_category

      fields:
        - image
        - instance_mask
        - instance_category
        - instance_bbox
      batch_transform: false
    03b_preprocessing:
      _target_: ocl.transforms.SimpleTransform
      transforms:
        image:
          _target_: torchvision.transforms.Compose
          transforms:
            - _target_: torchvision.transforms.ToTensor
            - _target_: torchvision.transforms.Resize
              _convert_: all
              size: [224, 224]
              interpolation: ${torchvision_interpolation_mode:BICUBIC}
            - "${lambda_fn:'lambda image: image.clamp(0.0, 1.0)'}"
            - _target_: torchvision.transforms.Normalize
              mean: [0.485, 0.456, 0.406]
              std: [0.229, 0.224, 0.225]
        instance_mask:
          _target_: torchvision.transforms.Compose
          transforms:
            - _target_: ocl.preprocessing.DenseMaskToTensor
        segmentation_mask:
          _target_: torchvision.transforms.Compose
          transforms:
            - _target_: ocl.preprocessing.DenseMaskToTensor
      batch_transform: false