A set of libraries and projects which will be used in all computer vision applications.
System Overview:
Photos to use for testing:
CONOPS/Rules:
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.
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:
- Install the dependencies listed above. This may vary based on your system.
- Clone the Project
- Run
./build.sh
to build and compile the project.
Refer to the detailed instructions here: Linux Installation
After compiling, an executable will be present in the build directory. To run it type:
./warg-cv
After compiling, in the build directory run:
make test
or make test ARGS='-V'
for verbose output
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.
Copyright (c) 2015-2016, Waterloo Aerial Robotics Group (WARG)
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