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data-preparation

data-preparation

Prepare and troubleshoot OpenPCDet dataset layouts, info pickle files, ground-truth databases, splits, and DATA_CONFIG settings.

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Documentation de la Skill

GitHub

name: data-preparation description: "Prepare and troubleshoot OpenPCDet dataset layouts, info pickle files, ground-truth databases, splits, and DATA_CONFIG settings." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

OpenPCDet Data Preparation

Use this sub-skill for dataset root layouts, DATA_CONFIG, info/database generation, split files, class lists, and dataloader/data-prep failures.

Fast route

  1. Read references/dataset-workflows.md for the dataset-specific map.
  2. Use scripts/check_openpcdet_dataset_layout.py on the target dataset root before launching converters.
  3. Use the root helper ../../scripts/plan_openpcdet_command.py --mode <dataset>-infos to print dataset-prep commands for an OpenPCDet checkout.
  4. Return to ../training-and-evaluation/SKILL.md only after dataset info/database products and config paths are aligned.

Required checks

  • DATA_CONFIG.DATASET must match the intended dataset registry name.
  • DATA_CONFIG.DATA_PATH must point at the dataset root expected by that dataset's implementation.
  • CLASS_NAMES must match both generated infos and any checkpoint/config being reused.
  • Database-sampling configs require DB_INFO_PATH and database object files generated from the same training split.

Common ownership boundaries

  • Dataset folder schemas and conversion: this sub-skill.
  • Train/test CLI after data exists: ../training-and-evaluation/SKILL.md.
  • Custom .bin/.npy inference samples: ../inference-and-custom-data/SKILL.md.
  • Model-family assumptions in configs: ../models-and-configs/SKILL.md.
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