An easy-to-use , online aruco marker detector for robot navigation, augmented reality and other applications. "Beginner Friendly"
To ask doubts and staying in touch , join our gitter channel
Python 3.6
Opencv (cv2)
tutorial
- To run , simply copy the code in the
aruco_detect.py
and run it. - More formally , fork the code , and clone it your machine . I recommend that you use the GitHub desktop app.
- If you need a python IDE , I recommend using pycharm. Tutorial to install : .
- If you get an error , make sure all the import statements are working , if not , install using pip-install tutorial
- Open up initial code in your preferred python IDE windows.py
Command (with Linux as the working directory):
python aruco_detct.py
-
Open up
aruco_detect.py
in your preferred python IDE aruco_detect.py -
Run using python 3.6 (recommended).
-
The program takes 3-second waiting time, after which it starts detecting Aruco Markers.
Many improvements and developments are in the pipeline! To know more, contact on github or [email protected]
Python