STag - A Stable, Occlusion-Resistant Fiducial Marker System

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Build and upload to PyPI PyPI - Python Version Pepy Total Downlods

Python Wrapper for STag - A Stable, Occlusion-Resistant Fiducial Marker System

📊 Comparison Between Different Marker Systems:

📖 Usage

Installation

pip install stag-python

Example

Note: in this example cv2 is used for loading the image. To use cv2, you need to install opencv-python: pip install opencv-python

import stag
import cv2

# specify marker type
libraryHD = 21

# load image
image = cv2.imread("example.jpg")

# detect markers
(corners, ids, rejected_corners) = stag.detectMarkers(image, libraryHD)

For a more comprehensive example refer to example.py

🏷 Markers

🛠 Configuration

Following parameters can be specified:

  • libraryHD:

    • Sets the "family" or "type" of used STag markers

      • Each library has a different amount of markers
      • Only the markers of the chosen library will be detected

    • The following HD libraries are possible:

      HD 11 13 15 17 19 21 23
      Library Size 22,309 2,884 766 157 38 12 6

    • Specifies the used Hamming Distance, for further information refer to the original paper

  • errorCorrection:

    • Sets the amount of error correction
    • Has to be in range 0 <= errorCorrection <= (libraryHD-1)/2
    • For further information refer to the original paper

📋 Build From Source

  1. Install Prerequisites

    CMake >= 3.16

    • On Linux: apt install cmake

    OpenCV 4 for C++

    • On Linux: apt install libopencv-dev

    NumPy: pip install numpy

    • On Linux: if during step 2 the error "numpy/ndarrayobject.h: No such file or directory" occurs, try one of following solutions:
      • Run apt install python-numpy or
      • Search for "ndarrayobject.h" (find / -name ndarrayobject.h) and create a symlink from its parent directory to "/usr/include/numpy" (e.g. ln -s /usr/local/lib/python3.8/dist-packages/numpy/core/include/numpy /usr/include/numpy)

  2. Clone this repository recursively:

    • git clone --recursive https://github.com/ManfredStoiber/stag-python

  3. Build the project

    In the project directory, run the following command:

    • pip install .

  4. Run the example

    1. cd example
    2. python example.py

📰 Originally Published in the Following Paper:

B. Benligiray; C. Topal; C. Akinlar, "STag: A Stable Fiducial Marker System," Image and Vision Computing, 2019.

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This version

1.1.1

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