Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Prototype] - Rearrange Scene Evaluation and Collision Proxy Optimizer (CPO) #2078

Draft
wants to merge 85 commits into
base: main
Choose a base branch
from

Conversation

aclegg3
Copy link
Contributor

@aclegg3 aclegg3 commented Apr 19, 2023

Motivation and Context

This branch contains a set of utilities designed for evaluation and optimization of synthetic scenes for object rearrangement.

Primary components (high level):

  • collision_shape_automation.py: CollisionProxyOptimizer(CPO) class and supporting utilities for evaluating the quality of collision proxy shapes and receptacles for individual objects via a set of crafted scalar metrics. Also includes optimization of new collision objects via these metrics with COACD.
  • examples/viewer.py : A modified scene viewer with additional UI for evaluating scene quality. Includes:
    • Visualization and classification of Receptacles via CPO metrics.
    • Visualization of collision proxies.
    • Ability to manually filter receptacles (with mouse UI) and export metadata containing the final filtered receptacle set for the scene.
  • examples/obj_viewer.py : A modified viewer for investigating a single object and CPO metric ingredients allowing the specification of a custom collision proxy via CLI.
  • examples/spot_viewer.py: A modified viewer for evaluating and correcting robot navigability in the scenes. Controls a spot robot to navigate the scene and provides a user interface for selecting, moving, and removing objects.

Dependencies:

  • habitat-lab main or including PR 1249
  • coacd and trimesh
pip install coacd trimesh
  • spot_viewer.py requires spot robot:
python -m habitat_sim.utils.datasets_download --uids hab_spot_arm

Details examples/viewer.py:

Primary purpose is to evaluate a full scene for use with rearrangement and manually filter Receptacles.
CLI options:

  • --init-cpo: runs the CPO metrics for all Receptacles in the scene. Necessary to visualize receptacles with metric coloring.
  • --rec-filter-file provide an alternative path to receptacle filter metadata file IO.

UI:

  • See the help text output when running the tool for details.

Example

python examples/viewer.py --dataset path/to/fphab/fphab/fphab.scene_dataset_config.json --scene 102816036 --init-cpo

Details examples/spot_viewer.py:

Primary purpose is to evaluate Spot robot's ability to navigate the scene and then to interactively modify the scene to correct for any issues.

Details examples/obj_viewer.py:

Primary purpose is to evaluate particular objects and get a closer look at their performance as receptacles.
CLI options:

  • --target-object: (replaces --scene) - provide the name of the object to visualize (e.g. f9106be97a1c9ea06b8ac1ddf0e3aa60b1fe2a94)
  • --col-obj: provide and alternative collision proxy object file.

UI:

  • TODO document this

Example:

python examples/obj_viewer.py --dataset path/to/fphab/fphab/fphab.scene_dataset_config.json --target-object f9106be97a1c9ea06b8ac1ddf0e3aa60b1fe2a94

Details tools/collision_shape_automation.py:

Primary purpose is to provide a set of tools and CLI for optimizating collision shapes such they better match ground truth object shape and Receptacle performance.

CLI options:
Run with --help for details.
Provide either a list of scenes or objects (shortened names separated by spaces):

  • --scenes: one or more scenes to optimize.
  • --objects: one or more objects to optimize.
    Additional parameters:
  • --output-dir: output directory for saved csv and images. Default = ./collision_shape_automation/.
  • --debug-images: turns on debug image output.

Example:

python tools/collision_shape_automation.py --dataset path/to/fphab/fphab/fphab.scene_dataset_config.json --objects f9106be97a1c9ea06b8ac1ddf0e3aa60b1fe2a94

Note that COACD files will export to ./COACD_output/ and the best proxy shapes will be copied into your provided dataset directory in place of the current proxy shape.
For example, after running this tool on fphab/ scene dataset, run git status in the dataset directory to see modified collision shapes.

How Has This Been Tested

Locally

Example output of optimization:

python tools/collision_shape_automation.py --dataset path/to/fphab/fphab/fphab.scene_dataset_config.json --objects f9106be97a1c9ea06b8ac1ddf0e3aa60b1fe2a94

image

Types of changes

Prototype, no testing or intent to merge as-is.

@facebook-github-bot facebook-github-bot added the CLA Signed Do not delete this pull request or issue due to inactivity. label Apr 19, 2023
@aclegg3 aclegg3 added the do not merge Not ready to merge. This label should block merging. label Aug 17, 2023
…d output directory. Import Habitat-lab features.
… Validate proxy bounding box is similar to ground truth. Prepare for Recetpacle sampling TODO.
… found in a single scene. Re-organize receptacle metrics caching.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
CLA Signed Do not delete this pull request or issue due to inactivity. do not merge Not ready to merge. This label should block merging.
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

4 participants