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configuration-model-zoo

configuration-model-zoo

Choose, inspect, modify, and validate MMDetection 3.3.0 configs and model-zoo entries without training or inference side effects.

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Documentation de la Skill

GitHub

name: configuration-model-zoo description: "Choose, inspect, modify, and validate MMDetection 3.3.0 configs and model-zoo entries without training or inference side effects." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Configuration Model Zoo

Use this sub-skill when an agent needs to select an MMDetection model family, inspect a config, resolve _base_ inheritance, apply safe config overrides, or decide between MIM model names and config paths.

Route Here

  • Choose a model family/config from MMDetection's model zoo or metafile-style entries.
  • Inspect model, dataloaders, pipelines, evaluator, runtime hooks, default_scope, or auto_scale_lr settings before running anything expensive.
  • Modify config values with --cfg-options or equivalent Config.merge_from_dict semantics.
  • Debug invalid _base_, config import/registry-scope, checkpoint/config pairing, or missing auto_scale_lr.base_batch_size failures.
  • Migrate or review 2.x-style configs for MMDetection 3.x structure.

Reroute

  • Training, validation, testing commands, dataset execution, and launcher details: use training-testing.
  • DetInferencer, init_detector, inference_detector, visualization outputs, and CPU/GPU inference execution: use inference-visualization.
  • New detectors, registries, custom transforms, custom datasets, or plugin modules: use customization-extension.

References and Script

  • Read configuration.md for config inheritance, override, validation, and migration workflows.
  • Read model-zoo.md for model-index/metafile navigation, MIM names, and config-path decisions.
  • Read troubleshooting.md for common config/model-zoo failures and fixes.
  • Run inspect_config.py to flatten and summarize a config safely:
python sub-skills/configuration-model-zoo/scripts/inspect_config.py CONFIG.py --summary --cfg-options model.test_cfg.rcnn.score_thr=0.3

The script reads configs with MMEngine, supports --cfg-options, prints a concise summary by default, and can dump the merged config to .py, .json, or .yml.

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