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Examples

Useful example scripts for running the various evaluation applications with Voltron models (in these examples, the Voltron variants).

Note: We currently do not have the permission to host or otherwise distribute the raw data for the various tasks ourselves (for now!); we ask that you follow the instructions below to acquire the various datasets prior to running each example script!


Grasp Affordance Prediction

Download the Suction-Based Grasping Dataset from the ARC Grasping Project Website.

Unzip the archive to a location of your choice (default: data/grasping/suction-based).

Run the evaluation with python examples/evaluate_grasp.py.

Referring Expression Grounding

Download the original OCID dataset and OCID-Ref annotations following the instructions on the OCID-Ref Repository.

Unzip the OCID-dataset.tar.gz to a location of your choice (default: tasks/langref/OCID-dataset). Place the downloaded <split>_expressions.json files in the same top-level directory (default: data/langref/<split>_expressions.json).

Run the evaluation with python examples/evaluate_refer.py.

Single-Task Visuomotor Control

TBD; figuring out how to adapt the original code (built on top of the Franka Kitchen / Adroit Mujoco Simulation Environments) is taking a little bit. In the meantime, running the existing code pipeline from the R3M Evaluation Branch is the easiest way to get started!

Will try to refactor, test, and streamline this by 3/4/23.

Intent Inference

TBD; waiting on permissions to share/use videos from the WHiRL Website.