configs/evaluation/projects/bridging/outputs_voc2012_bbox.yaml

# @package _global_
# Save model predictions on VOC 2012 trainval
dataset:
  eval_transforms:
    02b_preprocessing:
      _target_: ocl.transforms.Map
      transform: "${lambda_fn:'lambda data: {\"orig_image\": data[\"image\"], **data}'}"
      fields:
        - image
      batch_transform: false
defaults:
  - /evaluation_config  # (1)!
  - /evaluation/projects/bridging/_base_metrics # (2)!
  - /evaluation/projects/bridging/_preprocessing_voc2012 # (3)!
  - /evaluation/projects/bridging/_metrics_discovery_bboxes # (4)!
  - /dataset: voc2012_trainval  # (5)!
  - _self_

eval_batch_size: 1

save_outputs: true
skip_metrics: true
n_samples_to_store: 350
outputs_to_store:
  - input.orig_image
  - input.instance_bbox
  - masks_resized

modules:
  masks_resized:
    size_tensor_path: input.orig_image

plugins:
  03b_preprocessing:
    evaluation_transforms:
      orig_image:
        _target_: torchvision.transforms.Compose
        transforms:
          - _target_: torchvision.transforms.ToTensor
      image:
        _target_: torchvision.transforms.Compose
        transforms:
          - _target_: torchvision.transforms.ToTensor
          - _target_: torchvision.transforms.Resize
            size: 224
            interpolation: ${torchvision_interpolation_mode:BICUBIC}
          - "${lambda_fn:'lambda image: image.clamp(0.0, 1.0)'}"
          - _target_: torchvision.transforms.CenterCrop
            size: 224
          - _target_: torchvision.transforms.Normalize
            mean: [0.485, 0.456, 0.406]
            std: [0.229, 0.224, 0.225]