Omnidata Docs
Quick links to docs: [ Pretrained Models ] [ Starter Dataset ] [ Annotator Demo ]
This site is intended to be a wiki/documentation site for everything that we open-sourced from the paper. There are three main folders: the annotator, utilities (dataloaders, download tools, pretrained models, etc), and a code dump of stuff from the paper that is just for reference.
(Check out the main site for an overview of 'steerable datastes' and the 3D → 2D rendering pipeline).
Download the code
If you want to see and edit the code, then you can clone the github and install with:
git clone https://github.com/EPFL-VILAB/omnidata-tools
cd omnidata-tools
pip install -e .
This is probably the best option for you if you want to use the pretrained models, dataloaders, etc in other work.
Install just CLI tools (omnitools
)
If you are only interested in using the CLI tools, you can install them with: pip install omnidata-tools
. This might be preferable if you only want to quickly download the starter data, or if you just want a simple way to manipulate the vision datasets output by the annotator.
Note: The annotator can also be used with a docker-based CLI, but you don't need to use the annotator to use the starter dataset, pretrained models, or training code.
...were you looking for the research paper or project website?