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Configuration Groups¶

Hydra config groups keep current experiments modular and composable.

Current Group Layout¶

configs/
├── data/
├── pipeline/
│   ├── anomaly/
│   └── sam3/
├── plugins/
├── training/
└── trainrun/

Standard Trainrun Composition¶

# @package _global_
defaults:
  - /pipeline/anomaly/rx@pipeline: rx_statistical
  - /data@data: lentils
  - /training@training: default
  - _self_

name: rx_demo
output_dir: ./outputs/${name}

Pipeline Group¶

Current pipeline families:

configs/pipeline/anomaly/rx/
configs/pipeline/anomaly/deep_svdd/
configs/pipeline/anomaly/adaclip/
configs/pipeline/sam3/

Override example:

pipeline:
  nodes:
    - name: RXGlobal
      hparams:
        eps: 1.0e-08

Data Group¶

Use configs/data/ for dataset paths, IDs, and loader settings.

Example:

data:
  cu3s_file_path: data/Lentils/Lentils_000.cu3s
  annotation_json_path: data/Lentils/Lentils_000.json
  train_ids: [0, 2, 3]
  val_ids: [1, 5]
  test_ids: [1, 5]
  batch_size: 2

Training Group¶

Use configs/training/ for trainer and optimizer settings.

Example:

training:
  trainer:
    max_epochs: 50
    accelerator: auto
    devices: 1
  optimizer:
    name: adamw
    lr: 0.001

Plugin Group¶

Use the narrow manifest required by the workflow:

configs/plugins/adaclip.yaml
configs/plugins/bytetrack.yaml
configs/plugins/deepeiou.yaml
configs/plugins/detr.yaml
configs/plugins/sam3.yaml
configs/plugins/trackeval.yaml
configs/plugins/ultralytics.yaml

Use configs/plugins/registry.yaml only when you want the full registry.