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Reseting env to state from dataset
See original GitHub issueHi,
I’m trying to generating skill id / language annotations for the unlabeled frames in the dataset. I was thinking of using the reset_from_storage method in the environment class to reset to a state from the dataset and using the task checker to check for task success. However, the reset function requires a serialized version of the env/robot state which is not provided. Is there a way I could reset the env from offline data or is there another way for me to get skill annotations for the entire dataset?
Thanks!
Issue Analytics
- State:
- Created 2 years ago
- Comments:7 (1 by maintainers)
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Never mind! I could use:
env.reset(scene_obs=data["scene_obs"], robot_obs=data["robot_obs"]). Thanks anyways!Also I find that with some tasks like “rotate_blue_block_right”, a lot of the annotated intervals are duplicates / overlaps of each other. It says “rotate_blue_block_right” has 150 annotations, but actually there are only 29 distinct ones.