A python robotic framework and tools
Detection of hamming markers for OpenCV written in python.
Originally written by Max Brauer: github. All I did was clean up some little stuff and package it for use on pypi.
This package is able to read and create hamming markers, described in this blogpost.
The simplest way to install is:
pip install ar_markers
There are two helper scripts:
- ar_marker_generate.py to generate the markers. Do ar_marker_generate.py --help to see the options
- ar_marker_scan.py to scan the marker. Once you have created and printed out a marker, hold the marker in front of your camera. You will see a blue border around the marker, (if detected) and a green number, showing the ID the marker represents.
or use in a program like:
#!/usr/bin/env python from __future__ import print_function import cv2 from ar_markers import detect_markers if __name__ == '__main__': print('Press "q" to quit') capture = cv2.VideoCapture(0) if capture.isOpened(): # try to get the first frame frame_captured, frame = capture.read() else: frame_captured = False while frame_captured: markers = detect_markers(frame) for marker in markers: marker.highlite_marker(frame) cv2.imshow('Test Frame', frame) if cv2.waitKey(1) & 0xFF == ord('q'): break frame_captured, frame = capture.read() # When everything done, release the capture capture.release() cv2.destroyAllWindows()
Copyright (c) 2007, Max Brauer All rights reserved.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|ar_markers-0.4.1-py2-none-any.whl (11.1 kB) Copy SHA256 hash SHA256||Wheel||py2||Jun 25, 2017|
|ar_markers-0.4.1-py3-none-any.whl (11.1 kB) Copy SHA256 hash SHA256||Wheel||py3||Jun 25, 2017|
|ar_markers-0.4.1.tar.gz (6.5 kB) Copy SHA256 hash SHA256||Source||None||Jun 25, 2017|