EgoVerse: Egocentric Data for Robot Learning from Around the World

This repository contains the data processing, training and evaluation code for EgoVerse.

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Structure

• egomimic/trainHydra.py: Main training script, powered by Pytorch Lightning and Hydra (DDP supported)
• egomimic/hydra_configs: Train configs for each algorithm
• egomimic/algo: Algorithm code: ACT, EgoMimic (HPT based), Pi
• egomimic/scripts/aloha_process: Process raw aloha hdf5 to zarr/lerobot
• egomimic/scripts/aria_process: Process aria vrs to zarr/lerobot

Installation

UV (Recommended)

if uv not installed

curl -LsSf https://astral.sh/uv/install.sh | env UV_INSTALL_DIR="/path/to/flash/storage" sh

git clone git@github.com:GaTech-RL2/EgoVerse.git
cd EgoVerse
uv venv emimic --python 3.11
source emimic/bin/activate
uv pip install -r requirements.txt
uv pip install -e .
uv run pre-commit install

Conda

git clone --recursive git@github.com:GaTech-RL2/EgoVerse.git
cd EgoVerse
conda env create -f environment.yaml
conda activate emimic
pip install -e .
pre-commit install

AWS Configure

Download the AWS cli

 curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
 unzip awscliv2.zip
 ./aws/install -i ~/aws-cli -b ~/bin

Set up your AWS keys to access our cloud storage

aws configure
AccessKeyId: AKIAYDKH4BNCAYHE5NG2
SecretAccessKey: rGjT6NSh55YiB9MC9EyNGpVy8qcaTn4i19OmkhRW
Default region name: us-east-2
Default output format:
./egomimic/utils/aws/setup_secret.sh

setup_secret.sh will allow your current env to download data from cloudflare.

Other Settings

Set git config --global submodule.recurse true if you want git pull to automatically update the submodule as well. Set your wandb project in egomimic/hydra_configs/logger/wandb.yaml

Submitit modification

For the integrated hydra submitit plugin to work, make the following modification...

/path/to/your/venv/emimic/lib/python3.11/site-packages/hydra_plugins/hydra_submitit_launcher/submitit_launcher.py

Change line 144 to

        jobs = executor.map_array(self, *zip(*job_params))

        return [asyncLauncher() for j in jobs]

class asyncLauncher:
    def __init__(self):
        self.return_value = 0

I wanted to package this change nicely, but the hydra package is built very weirdly.

Quick Start Guide

Data Visualization

Visit https://partners.mecka.ai/egoverse to view our entire dataset in the web!

To visualize data programatically see zarr_data_viz.ipynb

To programatically view the SQL table of all episodes + metadata see sql_tutorial.ipynb

Data Downloading

While our training pipeline automatically downloads data, you can manually download data via sync_s3.py

For example, to download all our flagship Aria fold clothes data...

python egomimic/scripts/data_download/sync_s3.py \
     --local-dir <local directory> \
     --filters aria-fold-clothes

Training

Basic training run (robot BC)...

python egomimic/trainHydra.py --config-name=train_zarr

For full instructions on training see training.md

Converting your own data

See embodiment_tutorial.ipynb as reference to write a conversion script for your own data.