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A set of libraries and projects which will be used in all computer vision applications.

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UWARG/computer-vision

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computer-vision

A set of libraries and projects which will be used in all computer vision applications.

Documentation

System Overview:

Computer Vision Flowchart

Photos to use for testing:

CONOPS/Rules:

Building and Installing

Build system: CMake to set up build environment then whatever CMake gives you (depends on platform, make for Linux, etc.)

Dependencies: OpenCV 3.X, Boost 1.58, DeckLink (optional), ZBar

Note on DeckLink Dependencies: The most recent tested SDK is: "Desktop Video 10.9.5 SDK". When downloaded, rename the extracted folder to "DeckLinkSDK", then copy the entire folder into the /usr/local/include directory, such that /usr/local/include/DeckLinkSDK/Linux/include exists. Note on OpenCV: Help for installing OpenCV can be found here if installing from source.

Installation Instructions:

If you intend to use Windows or Mac, you will need to run a Docker image. The Docker image is pre-configured with the appropriate libraries. Please refer to the instructions here: Docker Installation

For Linux:

  1. Install the dependencies listed above. This may vary based on your system.
  2. Clone the Project
  3. Run ./build.sh to build and compile the project.

Refer to the detailed instructions here: Linux Installation

Running the Program

After compiling, an executable will be present in the build directory. To run it type:

./warg-cv

Testing the Program

After compiling, in the build directory run:

make test or make test ARGS='-V' for verbose output

Goal:

To fill this chart with the right values: Judges Evaluation Sheet

This evaluation sheet includes spots to fill with latitudes, longitudes, centroids, areas, volumes, and QR code values.

Licensing

Copyright (c) 2015-2016, Waterloo Aerial Robotics Group (WARG)

All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  3. Usage of this code MUST be explicitly referenced to WARG and this code cannot be used in any competition against WARG.
  4. Neither the name of the WARG nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY WARG ''AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL WARG BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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