SWIG generated Python wrappers for ArUco library. Works with OpenCV Python module cv2 resp. numpy array data types.

Tested on Linux Mint 17.1 x86_64, OpenCV 3.2.0, ArUco 2.0.19, Python 2.7.6 and NumPy 1.10.4

1. Install / compile OpenCV >= 2.4.9 with Python2 support
2. download, compile and install ArUco: http://www.uco.es/investiga/grupos/ava/node/26, also install libeigen headers for ArUco 2.0: sudo apt-get install libeigen3-dev
3. Install swig3: sudo apt-get install swig3.0 for Debian/Ubuntu like systems
4. Install NumPy sudo pip install numpy (maybe you already need it for OpenCV Python support) or install via system packet manager
5. run swigbuild.sh: it compiles the shared library (_aruco.so) and generates Python wrappers (aruco.py)
6. run sudo python setup.py install to install the library globally

1. Install / compile OpenCV >= 2.4.9 with Python3 support
2. download, compile and install ArUco: http://www.uco.es/investiga/grupos/ava/node/26, also install libeigen headers for ArUco 2.0: sudo apt-get install libeigen3-dev
3. Install swig3: sudo apt-get install swig3.0 for Debian/Ubuntu like systems
4. Install NumPy sudo pip3 install numpy (maybe you already need it for OpenCV Python support) or install via system packet manager
5. run swigbuild.sh python3: it compiles the shared library (_aruco.so) and generates Python3 wrappers (aruco.py)
6. run sudo python3 setup.py install to install the library globally

open a prompt in example/ and run python example.py

This wrapper is totally in beta state. I just tested some basic functions with example/example.py. Please report errors and problems.