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
- Markers can be downloaded here: Drive
- Reference code for Marker Generator: ref/marker_generator
🛠 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
-
Install Prerequisites
- 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-numpyor - 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)
- Run
- On Linux:
-
Clone this repository recursively:
git clone --recursive https://github.com/ManfredStoiber/stag-python
-
Build the project
In the project directory, run the following command:
pip install .
-
Run the example
cd examplepython example.py
📰 Originally Published in the Following Paper:
1 maintainer
Metadata
1 maintainer
Release files for stag-python 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| stag_python-1.1.1.tar.gz | 12.3 kB | Details |
Built distributions (wheels)
Total release size: 1.1 GB
Release files / stag_python-1.1.1.tar.gz
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| Tags | Source |
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