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

Tested on Linux Mint 19 x86_64, OpenCV 3.4.5, ArUco 3.0.13 Python 2.7.15 and NumPy 1.13.3

1. Install / compile OpenCV >= 3.3.1 with Python2 support
2. run sudo -H pip install aruco

1. Install / compile OpenCV >= 2.4.9 with Python2 support
2. Install swig3: sudo apt-get install swig3.0 for Debian/Ubuntu like systems
3. Install NumPy sudo pip install numpy (maybe you already need it for OpenCV Python support) or install via system packet manager
4. run ./swigbuild.sh: it compiles the shared library (_aruco.so) and generates Python wrappers (aruco.py)
5. run sudo python setup.py install to install the library globally

1. Install / compile OpenCV >= 2.4.9 with Python3 support. Install-OpenCV script helps to install the latest version.
2. Install swig3: sudo apt-get install swig3.0 for Debian/Ubuntu like systems. On 14.04 and other older systems you will need to go to "Software Sources" and check backports in the Updates tab, and reload before installing.
3. Install NumPy sudo pip3 install numpy (maybe you already need it for OpenCV Python support) or install via system package manager.
4. run ./swigbuild.sh python3: it compiles the shared library (_aruco.so) and generates Python3 wrappers (aruco.py)
5. run sudo python3 setup.py install to install the library globally

open a prompt in example/ and run: python ./example.py or python3 ./example.py for Python3 (depends on your default Python interpreter)

If the Python doesn't find some shared objects, add the library location to LD_LIBRARY_PATH: export LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATH

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