Config-Files have wrong structure?

[WAKCL]

Describe the bug

• It seems like the default config files are completley in the wrong structure. When i use e.g. configs/model/padim.yaml, i get an error for a missing key: "project". After adding project, it tells me its missing project.path. After fixing that, it tells me its missing metrics.threshold. After fixing that, it tells me its missing metrics.threshold.adaptive. And so on.

To Reproduce

Steps to reproduce the behavior:

1. Just follow the installation guide
2. Edit data section inside padim.yaml with custom dataset like mentioned in the README!
3. Call python tools/train.py --config configs/model/padim.yaml

Screenshots

Hardware and Software Configuration

• OS: Windows 10
• CUDA Version 10.2
• CUDNN Version 7.5.6

[WAKCL]

Here are my installed dependencies and their versions:
installed_libs.txt

The used config file looks like this:

# This is the config file for the new Anomalib CLI.
# To use this, run the following command:
# anomalib fit --config ./config/model/padim.yaml
ckpt_path: null
seed_everything: null

dataset:
  name: NAME
  format: folder
  path: PATH-TO-PROJECT
  normal_dir: good # name of the folder containing normal images.
  abnormal_dir: bad # name of the folder containing abnormal images.
  normal_test_dir: null # name of the folder containing normal test images.
  task: segmentation # classification or segmentation
  mask: null #optional
  extensions: null
  split_ratio: 0.2 # ratio of the normal images that will be used to create a test split
  image_size: 512
  train_batch_size: 32
  test_batch_size: 32
  num_workers: 8
  transform_config:
    train: null
    val: null
  create_validation_set: true
  tiling:
    apply: false
    tile_size: null
    stride: null
    remove_border_count: 0
    use_random_tiling: False
    random_tile_count: 16

model:
  name: padim
  class_path: anomalib.models.Padim
  init_args:
    input_size:
      - 512 # Height
      - 512 # Width
    backbone: resnet18
    pre_trained: true
    layers:
      - layer1
      - layer2
      - layer3

post_processing:
  normalization_method: min_max # <null, min_max, cdf>
  threshold_method: adaptive # options: [adaptive, manual]
  manual_image_threshold: null
  manual_pixel_threshold: null

metrics:
  image_metrics:
    - F1Score
    - AUROC
  pixel_metrics:
    - F1Score
    - AUROC

visualization:
  show_images: False # show images on the screen
  save_images: True # save images to the file system
  log_images: False # log images to the available loggers (if any)
  mode: full # options: ["full", "simple"]

trainer:
  logger: true
  accelerator: auto # <"cpu", "gpu", "tpu", "ipu", "hpu", "auto">
  accumulate_grad_batches: 1
  amp_backend: native
  auto_lr_find: false
  auto_scale_batch_size: false
  auto_select_gpus: false
  benchmark: false
  check_val_every_n_epoch: 1 # Don't validate before extracting features.
  default_root_dir: null
  detect_anomaly: false
  deterministic: false
  devices: 1
  enable_checkpointing: true
  enable_model_summary: true
  enable_progress_bar: true
  fast_dev_run: false
  gpus: null # Set automatically
  gradient_clip_val: 0
  ipus: null
  limit_predict_batches: 1.0
  limit_test_batches: 1.0
  limit_train_batches: 1.0
  limit_val_batches: 1.0
  log_every_n_steps: 50
  max_epochs: 1
  max_steps: -1
  max_time: null
  min_epochs: null
  min_steps: null
  move_metrics_to_cpu: false
  multiple_trainloader_mode: max_size_cycle
  num_nodes: 1
  num_processes: null
  num_sanity_val_steps: 0
  overfit_batches: 0.0
  plugins: null
  precision: 32
  profiler: null
  reload_dataloaders_every_n_epochs: 0
  replace_sampler_ddp: true
  resume_from_checkpoint: null
  sync_batchnorm: false
  tpu_cores: null
  track_grad_norm: -1
  val_check_interval: 1.0 # Don't validate before extracting features.

[samet-akcay]

Hi @WAKCL, this config file is for the new CLI that we plan on merging. If you want to use python tools/train.py --config you need to use the old config format. For padim model, it is located here.

For example,
python tools/train.py --config anomalib/models/padim/config.yaml