Event Vision Library (EVL)

Open Source Computer Vision Library for Event-based camera and vision. Any contribution is welcomed.

Supported devices

• DAVIS
• DVS128

And more...

Installation

Supported OS

• Mac
• Linux

We are now preparing for Windows OS support. Stay tuned, or contribute!

Requirements

• C++11
• CMake >= 3.1
• OpenCV: brew install opencv or apt-get install libopencv-dev Link
• Boost >= 1.65: brew install boost or apt-get install libboost-all-dev Link
• Eigen3: brew install eigen or apt-get install libeigen3-dev Link
• libcaer >= 2: brew install libcaer or bash install_dependencies.sh Link

Build

$ git clone https://github.com/EventVisionLibrary/evl.git
$ cd evl
$ cd examples
$ mkdir build
$ cd build
$ cmake ..
$ make

Resources

• Example: https://github.com/EventVisionLibrary/evl/tree/develop/examples
• Issue tracking: https://github.com/EventVisionLibrary/evl/issues

Contributing

• One pull request per issue;
• lint checker command:

python cpplint.py --linelength=120 --counting=detailed $( find . -name '*.hpp' -or -name '*.cpp' | grep -vE "^./examples/build/" )

• Choose the right base branch;
• Include tests and documentation;
• Clean up "oops" commits before submitting;
• Follow the coding style guide.

License

BSD 3-clause License. See detail.

2018, Event Vision Library.