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 4.1.0, ArUco 3.1.2 Python 3.6.1 and NumPy 1.16.3
- Install / compile OpenCV >= 3.3.1 with Python2 support
- run
sudo -H pip install aruco
- Install / compile OpenCV >= 2.4.9 with Python2 support
- Install swig3:
sudo apt-get install swig3.0
for Debian/Ubuntu like systems - Install NumPy
sudo pip install numpy
(maybe you already need it for OpenCV Python support) or install via system packet manager - run
./swigbuild.sh
: it compiles the shared library (_aruco.so) and generates Python wrappers (aruco.py) - run
sudo python setup.py install
to install the library globally
- Install / compile OpenCV >= 2.4.9 with Python3 support. Install-OpenCV script helps to install the latest version.
- 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. - Install NumPy
sudo pip3 install numpy
(maybe you already need it for OpenCV Python support) or install via system package manager. - Create a symlink
sudo ln -s /usr/local/include/opencv4/opencv2/ /usr/local/include/opencv2
- run
./swigbuild.sh python3
: it compiles the shared library (_aruco.so) and generates Python3 wrappers (aruco.py) - 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)
open a prompt in example/
and run: python ./fractal.py
or python3 ./fractal.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
I just tested some basic functions with example/example.py
/ example/fractal.py
.
Please report errors and problems.