Add features back into policy configs #643
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Feb 9, 2025
[Fix] Move back to manual calibration (#488) feat: enable to use multiple rgb encoders per camera in diffusion policy (#484) Co-authored-by: Alexander Soare <[email protected]> Fix config file (#495) fix: broken images and a few minor typos in README (#499) Signed-off-by: ivelin <[email protected]> Add support for Windows (#494) bug causes error uploading to huggingface, unicode issue on windows. (#450) Add distinction between two unallowed cases in name check "eval_" (#489) WIP Fix autocalib moss (#486) [Fix] Move back to manual calibration (#488) feat: enable to use multiple rgb encoders per camera in diffusion policy (#484) Co-authored-by: Alexander Soare <[email protected]> Fix config file (#495) fix: broken images and a few minor typos in README (#499) Signed-off-by: ivelin <[email protected]> Add support for Windows (#494) bug causes error uploading to huggingface, unicode issue on windows. (#450) Add distinction between two unallowed cases in name check "eval_" (#489) Rename deprecated argument (temporal_ensemble_momentum) (#490) Dataset v2.0 (#461) Co-authored-by: Remi <[email protected]> Refactor OpenX (#505) Fix missing local_files_only in record/replay (#540) Co-authored-by: Simon Alibert <[email protected]> Control simulated robot with real leader (#514) Co-authored-by: Remi <[email protected]> Update 7_get_started_with_real_robot.md (#559) LerobotDataset pushable to HF from any folder (#563) Fix example 6 (#572) fixing typo from 'teloperation' to 'teleoperation' (#566) [vizualizer] for LeRobodDataset V2 (#576) Fix broken `create_lerobot_dataset_card` (#590) Update README.md (#612) Add draccus, create MainConfig WIP refactor train.py and ACT Add policies training presets Update diffusion policy Add pusht and xarm env configs Update tdmpc Update vqbet Fix poetry relax Add feature types to envs Add EvalPipelineConfig, parse features from envs Add custom parser Update pretrained loading mechanisms Add dependency fixes & lock update Fix pretrained_path Refactor envs, remove RealEnv Fix typo Enable end-to-end tests Fix Makefile Log eval config Fix end-to-end tests Fix Quality workflow (#622) Remove amp & add resume test Speed-up tests Fix poetry relax Remove config yaml for robot devices (#594) Co-authored-by: Simon Alibert <[email protected]> fix(docs): typos in benchmark readme.md (#614) Co-authored-by: Simon Alibert <[email protected]> fix(visualise): use correct language description for each episode id (#604) Co-authored-by: Simon Alibert <[email protected]> typo fix: batch_convert_dataset_v1_to_v2.py (#615) Co-authored-by: Simon Alibert <[email protected]> [viz] Fixes & updates to html visualizer (#617) Fix logger Remove hydra-core Add aggregate_stats Add estimate_num_samples for images, Add test image Remove NoneSchedulerConfig Add push_pretrained Remove eval.episode_length Fix wandb_video Fix typo Add features back into policy configs (#643) fixes to SO-100 readme (#600) Co-authored-by: Philip Fung <no@one> Co-authored-by: Simon Alibert <[email protected]> Fix for the issue #638 (#639) Fix env_to_policy_features call Fix wandb init remove omegaconf Add branch arg Move deprecated Move training config Remove pathable_args Implement custom HubMixin Fixes Implement PreTrainedPolicy base class Add HubMixin to TrainPipelineConfig Udpate example 2 & 3 Update push_pretrained Bump`rerun-sdk` dependency to `0.21.0` (#618) Co-authored-by: Simon Alibert <[email protected]> Fix config_class Fix from_pretrained kwargs Remove policy_protocol Camelize PretrainedConfig Additional fix while retraining policies (#629) Co-authored-by: Simon Alibert <[email protected]> Actually reactivate tdmpc online test Update example 4 Remove advanced example 1 Remove example 5 Move example 6 to advanced Use HubMixin.save_pretrained Enable config_path to be a repo_id Dry has_method Update example 4 Update README Cleanup pyproject.toml Update eval docstring Update README Clean example 4 Update README Make 'last' checkpoint symlink relative Fix cluster image (#653) Simplify example 4 fix stats per episodes and aggregate stats and casting to tensor
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What this does
Add features back into policies configs