experiment_name: autoencoder_sheet_metal
data:
  dataset:
    root: data/mvtec_ad_2
    category: sheet_metal
    layout:
      splits:
        train: train
        validation: validation
        test: test_public
      good_dir: good
      bad_dir: bad
      mask_dir: ground_truth/bad
      mask_suffix: _mask
      image_extensions:
      - .png
  preprocessing:
    image_size:
    - 256
    - 1024
    crop_size: null
    mean:
    - 0.0
    - 0.0
    - 0.0
    std:
    - 1.0
    - 1.0
    - 1.0
  augmentation:
    hflip_p: 0.0
    vflip_p: 0.0
    rotation_degrees: 0.0
    brightness: 0.0
    contrast: 0.0
    blur_sigma: null
    noise_std: 0.0
  seed: 42
model:
  name: autoencoder
  base_channels: 32
  num_downsamples: 4
  latent_channels: 32
training:
  epochs: 100
  batch_size: 4
  learning_rate: 0.001
  weight_decay: 0.0
  optimizer: adam
  loss: mse
  grad_accum_steps: 1
  num_workers: 0
  device: auto
scoring:
  smoothing_sigma: 4.0
  image_score: max
threshold:
  image_method: mean_std
  image_k: 3.0
  pixel_quantile: 0.999