shacklettbp / hideseek-train Public

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A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

aihabitat.org

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 530 Commits
.circleci		.circleci
.github		.github
docs		docs
examples		examples
habitat-baselines		habitat-baselines
habitat-lab		habitat-lab
res/img		res/img
scripts		scripts
test		test
.editorconfig		.editorconfig
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
DATASETS.md		DATASETS.md
DETAILS.md		DETAILS.md
Dockerfile		Dockerfile
LICENSE		LICENSE
MANIFEST.in		MANIFEST.in
README.md		README.md
mypy.ini		mypy.ini
pyproject.toml		pyproject.toml
setup.cfg		setup.cfg

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Installation

Install GPU rearrange](https://github.com/shacklettbp/gpu_hideseek).
Install Habitat-Sim
- git clone https://github.com/facebookresearch/habitat-sim.git
- cd habitat-sim
- pip install -r requirements.txt
- python setup.py install --headless --bullet
Install Habitat Lab
- git clone -b madrona https://github.com/ASzot/habitat-lab.git
- cd habitat-lab
- pip install -e habitat-lab
- pip install -e habitat-baselines

From habitat-lab/habitat-baselines/ run

MAGNUM_LOG=quiet HABITAT_SIM_LOG=quiet PYTHONPATH=/home/aszot/gpu_hideseek/build python habitat_baselines/run.py --exp-config habitat_baselines/config/rearrange/madrona.yaml --run-type train habitat_baselines.num_environments=192 habitat_baselines.debug_env=True