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- # UAVA
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+ # ** UAV Assistant (UAVA) Dataset**
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+
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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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+
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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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+
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+
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+ ## ** UAVA toolset**
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+
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+ TODO: A set of tools for facilitating the usage of the UAVA dataset.
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+
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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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+
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+ ## Data Loaders
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+ TODO: Add dataloaders
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