Skip to main content
Help the Python Software Foundation raise $60,000 USD by December 31st!  Building the PSF Q4 Fundraiser

apriltag marker detection

Project description

Apriltag

apriltag marker detection based on https://github.com/swatbotics/apriltag

Dependencies

  • OpenCV (optional)

Example

import apriltag
import cv2
img = cv2.imread('apriltag_foto.jpg'.cv2.IMREAD_GRAYSCALE)
detector = apriltag.Detector()
result = detector.detect(img)

result is in the form of

[DetectionBase(tag_family='tag36h11', tag_id=2, hamming=0, goodness=0.0, decision_margin=98.58241271972656, homography=array([[ -1.41302664e-01,   1.08428082e+00,   1.67512900e+01],
   [ -8.75899366e-01,   1.50245469e-01,   1.70532040e+00],
   [ -4.89183533e-04,   2.12210247e-03,   6.02052342e-02]]), center=array([ 278.23643912,   28.32511859]), corners=array([[ 269.8939209 ,   41.50381088],
   [ 269.57183838,   11.79248142],
   [ 286.1383667 ,   15.84242821],
   [ 286.18066406,   43.48323059]])),
DetectionBase(tag_family='tag36h11', ... etc

.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for apriltags, version 0.0.7
Filename, size File type Python version Upload date Hashes
Filename, size apriltags-0.0.7.tar.gz (12.6 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page