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Code for manipulating and visualizing data from autonomous driving sensors

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Wavedata

Build Status

The repository contains the public release of the WAVE Laboratory (GitHub) Python library of dataset helper functions. The aim of this library is to provide functions for data input/output and processing of the different components of a dataset. The functions are currently compatible with the Kitti dataset.

Getting Started

Implemented and tested on Ubuntu 16.04 with Python 3.5.

  1. Clone repository:
git clone git@github.com:kujason/wavedata.git
  1. Install Dependencies:
cd ~/wavedata
pip3 install -r requirements.txt
  1. Compile C++ files:

First install cmake sudo apt-get install cmake.

To compile with script:

cd wavedata/scripts
build_integral_image_lib.bash

To manually compile:

cd wavedata/tools/core/lib
cmake src
make

LICENSE

MIT License

Copyright (c) 2018 Ali Harakeh, Jason Ku, Jungwook Lee, WAVE Laboratory

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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