This library takes in images of a chessboard or grid of circles in a folder and generates camera calibration data based on the images.
- Some tips:
- Use an asymmetric grid (different number of rows and cols). Don't worry if you already have a grid that is symmetric, just cover a row or column with white paper or tape.
- Use a grid with a white border around it.
- Take more images than you think you will need. Often, some images fail.
pip install camera_calibration
Clone the repository or download the zip
run:
python setup.py install
A Note on virtualenv: When using a virtual env, one must copy their cv2.so (linux) or cv2.pyd (windows) file into the virtual environment at Lib/site-packages
The calibration routine can be run from within another script like this:
import camera_calibration as cc cc.calibrate(dir, rows, cols, win, save, outdir, space, visualize, circles)
Arg | Type | Use |
---|---|---|
dir |
str |
The directory where the image sources are |
rows |
int |
The number of internal corners on the grid vertically |
cols |
int |
The number of internal corners on the grid horizontally |
win |
int |
The window across which to look for sub-pixel corners |
save |
bool |
Whether or not to save output |
outdir |
str |
Where to save output |
space |
float |
The grid spacing in mm |
visualize |
bool |
Whether or not to visualize output while running |
circles |
bool |
Whether to use a circle grid |
This system can also be used from the commandline. Once the system is installed,
so long as python is on your path, it can be run very simply. For more
information, run calibrate-camera -h
from the commandline/terminal
This is heavily based on This Tutorial.
- Michael Sobrepera
- Toni Cvitanic
The MIT License (MIT)
Copyright (c) 2016 GTRC.
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