- Updated the tutorial to use `NormalizerProcessorStep` as the primary example, clarifying its role in normalizing observations and actions.
- Improved explanations of the need for custom processors, emphasizing data compatibility and processing requirements.
- Added code snippets demonstrating the normalization process and the configuration of processor pipelines.
- Enhanced the introduction to processors, detailing their function as translators between raw robot data and model inputs.
- Included examples of real-world processor configurations for both training and inference scenarios.
* chore(docs): initialize doc
* Added script for the second part of the processor doc
* precommit style nit
* improved part 2 of processor guide
* Add comprehensive documentation for processors in robotics
- Introduced a detailed guide on processors, covering their role in transforming raw robot data into model-ready inputs and vice versa.
- Explained core concepts such as EnvTransition, ProcessorStep, and RobotProcessor, along with their functionalities.
- Included examples of common processor steps like normalization, device management, batch processing, and text tokenization.
- Provided insights on building complete pipelines, integrating processors into training loops, and saving/loading configurations.
- Emphasized best practices and advanced features for effective usage of processors in robotics applications.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* feat(docs): Enhance introduction to processors with additional converter functions
- Updated the introduction to processors documentation to include default batch-to-transition and transition-to-batch converters.
- Added detailed descriptions and examples for new specialized converter functions: `to_transition_teleop_action`, `to_transition_robot_observation`, `to_output_robot_action`, and `to_dataset_frame`.
- Improved clarity on how these converters facilitate integration with existing robotics applications.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Improved doc implement_your_own_pipeline
- Use normalization processor as default example
- Add section on transform features
- Add section on overrides.
* Add phone docs and use pipeline for robots/teleop docs
* Fix typo in documentation for adapters in robots/teleop section
* Enhance documentation for processors with detailed explanations and examples
- Updated the introduction to processors, clarifying the role of `EnvTransition` and `ProcessorStep`.
- Introduced `DataProcessorPipeline` as a generic orchestrator for chaining processor steps.
- Added comprehensive descriptions of new converter functions and their applications.
- Improved clarity on type safety and the differences between `RobotProcessorPipeline` and `PolicyProcessorPipeline`.
- Included examples for various processing scenarios, emphasizing best practices for data handling in robotics.
* Enhance documentation for processor migration and debugging
- Added detailed sections on the migration of models to the new `PolicyProcessorPipeline` system, including breaking changes and migration scripts.
- Introduced a comprehensive guide for debugging processor pipelines, covering common issues, step-by-step inspection, and runtime monitoring techniques.
- Updated examples to reflect new usage patterns and best practices for processor implementation and error handling.
- Clarified the role of various processor steps and their configurations in the context of robotics applications.
---------
Co-authored-by: Michel Aractingi <michel.aractingi@huggingface.co>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Pepijn <pepijn@huggingface.co>
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