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README.md

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# UAVA
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# **UAV Assistant (UAVA) Dataset**
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[![Paper](http://img.shields.io/badge/paper-arxiv-critical.svg?style=plastic)](https://arxiv.org/abs/2008.08823)
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[![Conference](http://img.shields.io/badge/ECCV-2020-blue.svg?style=plastic)](https://eccv2020.eu/)
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[![Workshop](http://img.shields.io/badge/R6D-2020-darkblue.svg?style=plastic)](http://cmp.felk.cvut.cz/sixd/workshop_2020/)
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[![Project Page](http://img.shields.io/badge/Project-Page-blueviolet.svg?style=plastic)](https://vcl3d.github.io/UAVA/)
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## TODO
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- [x] Add DJI M2ED drone model.
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- [x] Add colour, depth, and silhouettes from an exocentic view.
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- [x] Add colour, and depth, an egocentric view.
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- [ ] Add UAVA toolset.
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- [ ] Add data loaders.
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- [ ] Add normals, and optical flow from an exocentic view.
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- [ ] Add normals, and optical flow from an egocentic view.
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- [ ] Add new drone models.
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## **UAVA toolset**
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TODO: A set of tools for facilitating the usage of the UAVA dataset.
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## Requirements
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The code is based on PyTorch and has been tested with Python 3.7 and CUDA 10.1.
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We recommend setting up a virtual environment (follow the `virtualenv` documentation) for installing PyTorch and the other necessary Python packages.
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Once your environment is set up and activated, install the necessary packages:
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## Data Loaders
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TODO: Add dataloaders

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