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feat: Add fixes and refactor lekiwi example (#1396)
* feat: Add fixes and refactor lekiwi example * fix: replace repo_id with placeholders * feat: use record_loop for lekiwi, use same control strucutre as record.py * feat: make rerun log more general for lekiwi * fix: add comments record_loop and fix params evaluate.py * fix: add events in evaluate.py * fix: add events 2 * change record to display data * Integrate feedback steven * Add docs merging * fix: add lekiwi name check * fix: integrate feedback steven * fix: list for type * fix: check type list * remove second robot connect * fix: added file when merging * fix(record): account for edge cases when teleop is a list --------- Co-authored-by: Steven Palma <steven.palma@huggingface.co>
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@@ -13,7 +13,9 @@
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# limitations under the License.
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import os
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from typing import Any
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import numpy as np
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import rerun as rr
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@@ -24,3 +26,21 @@ def _init_rerun(session_name: str = "lerobot_control_loop") -> None:
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rr.init(session_name)
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memory_limit = os.getenv("LEROBOT_RERUN_MEMORY_LIMIT", "10%")
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rr.spawn(memory_limit=memory_limit)
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def log_rerun_data(observation: dict[str | Any], action: dict[str | Any]):
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for obs, val in observation.items():
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if isinstance(val, float):
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rr.log(f"observation.{obs}", rr.Scalar(val))
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elif isinstance(val, np.ndarray):
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if val.ndim == 1:
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for i, v in enumerate(val):
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rr.log(f"observation.{obs}_{i}", rr.Scalar(float(v)))
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else:
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rr.log(f"observation.{obs}", rr.Image(val), static=True)
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for act, val in action.items():
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if isinstance(val, float):
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rr.log(f"action.{act}", rr.Scalar(val))
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elif isinstance(val, np.ndarray):
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for i, v in enumerate(val):
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rr.log(f"action.{act}_{i}", rr.Scalar(float(v)))
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