Metadata-Version: 2.1
Name: threedb-preview
Version: 0.0.4
Summary: A framework for analyzing computer vision models with simulated data 
Home-page: https://github.com/3db/3db
Author: 3DB authors
Author-email: leclerc@mit.edu
License: MIT
Description: # 3DB: A framework for analyzing computer vision models with simulated data
        
        ## Installation
        
        Follow instructions on: https://github.com/3db/installers
        
        ## Complete demo
        
        For detailed, step by step demonstration of the usage of the framework, please visit: https://github.com/3db/demo
        
        ## Documentation
        
        You can find in-depth documentation for the package [here](https://3db.github.io/3db), including a
        quickstart guide, an explanation on the internal layout of the package, as well
        as guides for extending 3DB to new modalities, tasks, and output formats.
        
        ## Primer data
        
        We offer data for users to quickly get started 3DB and reproduce the results of the paper mentioned below. It is available on dropbox at this link: https://www.dropbox.com/s/2gdprhp8jvku4zf/threedb_starting_kit.tar.gz?dl=0. (One can use `wget` to download it).
        
        It contains:
        
        - 3D models
        - Environments: our studio and HDRI backgrounds
        - Replacement textures to use with `threedb.controls.blender.material`
        - Licensing/credits for the data
        
        ## Citation
        
        If you find 3DB helpful, please cite it as:
        ```
        @inproceedings{leclerc2021three,
            title={3DB: A Framework for Chungus Chungus},
            author={Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, ..., Ashish Kapoor, Aleksander Madry},
            year={2021},
            booktitle={Arxiv preprint arXiv:TODO}
        }
        ```
        
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Description-Content-Type: text/markdown
