Jiang-Muyun/Aruco2Pose

Pose Estimation With Aruco Gridboard

Overview

The code in this project are examples and tests for using Aruco markers and OpenCV 3.2.0, for camera calibration, Aruco marker generation, and detection

OpenCV 3.2.0 was run in a virtual environment. For details on setting up this work environment, use the resources linked below.

Systems

This code in this project was tested on the following systems:

• Linux Debian dist
  • Linux Mint 18.1 Cinnamon 64-bit
  • Python 2.7 with OpenCV 3.2.0
• MacBook Air
  • macOS Sierra 10.12.4
  • Python 2.7 with OpenCV 3.2.0

Resources

For the installation of OpenCV 3.2.0, the following tutorials were used for reference:

• For Linux Mint: http://www.pyimagesearch.com/2015/06/22/install-opencv-3-0-and-python-2-7-on-ubuntu/
• For MacOSX
  • Sierra: http://www.pyimagesearch.com/2016/11/28/macos-install-opencv-3-and-python-2-7/
  • And: http://www.pyimagesearch.com/2015/06/15/install-opencv-3-0-and-python-2-7-on-osx/