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Jade Choghari
2026-03-02 13:42:00 +03:00
parent 3f80a52728
commit d861d97e87
2 changed files with 9 additions and 7 deletions
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docs/source/_toctree.yml
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@@ -19,6 +19,8 @@
title: Multi GPU training
- local: peft_training
title: Training with PEFT (e.g., LoRA)
- local: rename_map
title: Using Rename Map and Empty Cameras
title: "Tutorials"
- sections:
- local: lerobot-dataset-v3
docs/source/rename_map.mdx
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@@ -135,11 +135,11 @@ If you see a feature mismatch error (“Missing features” / “Extra features
## Quick reference
| Goal | What to do |
|------|------------|
| Dataset keys ≠ policy keys (training) | `--rename_map='{"dataset_key": "policy_key", ...}'` |
| Env keys ≠ policy keys (eval) | `--rename_map='{"env_key": "policy_key", ...}'` |
| Fewer cameras than policy expects | Set `empty_cameras` in the policy config (e.g. `1` when you have 2 real cameras and the policy expects 3). |
| Avoid passing a rename map | Edit the policy’s `config.json` so its observation keys match your dataset or env. |
| Goal | What to do |
| ------------------------------------- | ---------------------------------------------------------------------------------------------------------- |
| Dataset keys ≠ policy keys (training) | `--rename_map='{"dataset_key": "policy_key", ...}'` |
| Env keys ≠ policy keys (eval) | `--rename_map='{"env_key": "policy_key", ...}'` |
| Fewer cameras than policy expects | Set `empty_cameras` in the policy config (e.g. `1` when you have 2 real cameras and the policy expects 3). |
| Avoid passing a rename map | Edit the policy’s `config.json` so its observation keys match your dataset or env. |
The rename map keeps your pipeline flexible: one policy, many data sources, no code changes—just a small dictionary on the command line or in your config.