Metadata-Version: 2.1
Name: omnidata_tools
Version: 0.0.20
Summary: Tooling for Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
Home-page: https://github.com/alexsax/omnidata_tools/tree/main/
Author: Alexander Sax
Author-email: alexanderesax@gmail.com
License: omnidata # Add licenses and see current list in `setup.py`
Description: # Omnidata Docs
        > <strong>Quick links to docs</strong>: [ <a href='/omnidata-tools/pretrained.html'>Pretrained Models</a> ]  [ <a href='/omnidata-tools/starter_dataset.html'>Starter Dataset ]  [ <a href='//omnidata-tools/annotator_usage.html'>Annotator Demo</a> ] 
        
        
        
        **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).
        
        
        
        <br>
        
        #### Download the code
        If you want to see and edit the code, then you can clone the github and install with: 
        
        ```bash
        git clone https://github.com/EPFL-VILAB/omnidata-tools
        cd omnidata-tools
        pip install -e .    # this will install the python requirements (and also install the CLI)
        ```
        This is probably the best option for you if you want to use the pretrained models, dataloaders, etc in other work.
        
        <br>
        
        
        #### Install just CLI tools (`omnitools`)
        If you are only interested in using the [CLI tools](/omnidata-tools/omnitools.html), 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](/omnidata-tools/annotator_usage.html) CLI, but you don't need to use the annotator to use the starter dataset, pretrained models, or training code.
        
        
        <br>
        
        
        > ...were you looking for the [research paper](//omnidata.vision/#paper) or [project website](//omnidata.vision)? 
        
        <!-- <img src="https://raw.githubusercontent.com/alexsax/omnidata-tools/main/docs/images/omnidata_front_page.jpg?token=ABHLE3LC3U64F2QRVSOBSS3BPED24" alt="Website main page" style='max-width: 100%;'/> -->
        
Keywords: Computer Vison,Vision,Graphics,3D
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
