configs/evaluation/projects/bridging/metrics_voc2012_masks_ccrop_random.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_image # (4)!
  - /evaluation/projects/bridging/_preprocessing_to_ccrop_320_masks # (5)!
  - /evaluation/projects/bridging/_metrics_discovery_masks # (6)!
  - /evaluation/projects/bridging/_metrics_segmentation # (7)!
  - /evaluation/projects/bridging/_metrics_add_ignore_mask # (8)!
  - /dataset: voc2012_trainaug  # (9)!
  - _self_

eval_batch_size: 16

modules:
  random_masks:
    _target_: routed.ocl.utils.masking.CreateRandomMaskPatterns
    masks_path: masks_resized
    pattern: blocks
    n_slots: 11
    n_cols: 3

evaluation_metrics:
  instance_mask_ari:
    prediction_path: random_masks
  instance_mask_unsup_iou:
    prediction_path: random_masks
  instance_mask_abo:
    prediction_path: random_masks
  instance_mask_corloc:
    prediction_path: random_masks
  instance_mask_recall:
    prediction_path: random_masks
  segmentation_mask_ari:
    prediction_path: random_masks
  segmentation_mask_unsup_iou:
    prediction_path: random_masks
  segmentation_mask_abo:
    prediction_path: random_masks

plugins:
  03b_preprocessing:
    evaluation_transforms:
      ignore_mask:
        _target_: torchvision.transforms.Compose
        transforms:
          - _target_: ocl.preprocessing.DenseMaskToTensor
          - _target_: ocl.preprocessing.ResizeNearestExact
            size: 320
          - _target_: torchvision.transforms.CenterCrop
            size: 320