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UAV Assistant (UAVA) Dataset

Paper Conference Workshop Project Page

TODO

  • Add DJI M2ED drone model.
  • Add colour, depth, and silhouettes from an exocentic view.
  • Add colour, and depth, an egocentric view.
  • Add UAVA toolset.
  • Add data loaders.
  • Add normals, and optical flow from an exocentic view.
  • Add normals, and optical flow from an egocentic view.
  • Add new drone models.

UAVA toolset

TODO: A set of tools for facilitating the usage of the UAVA dataset.

Requirements

The code is based on PyTorch and has been tested with Python 3.7 and CUDA 10.1. We recommend setting up a virtual environment (follow the virtualenv documentation) for installing PyTorch and the other necessary Python packages. Once your environment is set up and activated, install the necessary packages:

Data Loaders

TODO: Add dataloaders