Files
lerobot-clone/src/lerobot/processor/rename_processor.py
Steven Palma fd4ae3466b refactor(pipeline): minor improvements (#1684)
* chore(pipeline): remove unused features + device torch + envtransition keys

* refactor(pipeline): ImageProcessor & StateProcessor are both implemented directly in VanillaObservationPRocessor

* refactor(pipeline): RenameProcessor now inherits from ObservationProcessor + remove unused code

* test(pipeline): fix broken test after refactors

* docs(pipeline): update docstrings VanillaObservationProcessor

* chore(pipeline): move None check to base pipeline classes
2025-08-06 14:00:13 +02:00

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1.8 KiB
Python

#!/usr/bin/env python
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from dataclasses import dataclass, field
from typing import Any
from lerobot.configs.types import PolicyFeature
from lerobot.processor.pipeline import (
ObservationProcessor,
ProcessorStepRegistry,
)
@dataclass
@ProcessorStepRegistry.register(name="rename_processor")
class RenameProcessor(ObservationProcessor):
"""Rename processor that renames keys in the observation."""
rename_map: dict[str, str] = field(default_factory=dict)
def observation(self, observation):
processed_obs = {}
for key, value in observation.items():
if key in self.rename_map:
processed_obs[self.rename_map[key]] = value
else:
processed_obs[key] = value
return processed_obs
def get_config(self) -> dict[str, Any]:
return {"rename_map": self.rename_map}
def feature_contract(self, features: dict[str, PolicyFeature]) -> dict[str, PolicyFeature]:
"""Transforms:
- Each key in the observation that appears in `rename_map` is renamed to its value.
- Keys not in `rename_map` remain unchanged.
"""
return {self.rename_map.get(k, k): v for k, v in features.items()}