configs/evaluation/projects/bridging/metrics_voc2012_masks_ccrop_sa.yaml

# @package _global_
# Evaluating center crop mask quality on PASCAL VOC 2012 trainaug validation

defaults:
  - /evaluation_config  # (1)!
  - /evaluation/projects/bridging/_base_metrics # (2)!
  - /evaluation/projects/bridging/_preprocessing_voc2012_trainaug # (3)!
  - /evaluation/projects/bridging/_preprocessing_to_ccrop_320_masks # (4)!
  - /evaluation/projects/bridging/_metrics_discovery_masks # (5)!
  - /evaluation/projects/bridging/_metrics_segmentation # (6)!
  - /evaluation/projects/bridging/_metrics_add_ignore_mask # (7)!
  - /dataset: voc2012_trainaug  # (8)!
  - _self_

eval_batch_size: 16

modules:
  masks_resized:
    patch_mode: false

plugins:
  03b_preprocessing:
    evaluation_transforms:
      image:
        _target_: torchvision.transforms.Compose
        transforms:
          - _target_: torchvision.transforms.ToTensor
          - _target_: torchvision.transforms.Resize
            size: 128
            interpolation: ${torchvision_interpolation_mode:BILINEAR}
          - _target_: torchvision.transforms.CenterCrop
            size: 128
          - _target_: torchvision.transforms.Normalize
            mean: [0.5, 0.5, 0.5]
            std: [0.5, 0.5, 0.5]
      ignore_mask:
        _target_: torchvision.transforms.Compose
        transforms:
          - _target_: ocl.preprocessing.DenseMaskToTensor
          - _target_: ocl.preprocessing.ResizeNearestExact
            size: 320
          - _target_: torchvision.transforms.CenterCrop
            size: 320