Calibrate intrinsic and extrinsic parameters of cameras with charuco boards
Project description
calibcam
A charuco based calibrator for camera setups (intrinsic and extrinsic coordinates).
Installation
Windows
- (If not already done:) Install Anaconda
- Create conda env
conda env create -f https://raw.githubusercontent.com/bbo-lab/calibcam/main/environment.yml
- Switch to multitrackpy environment:
conda activate calibcam
- Install with
pip install bbo-calibcam
Usage
Windows
- From
[repository]/calibcam/boards
, copy the appropriate board into the calibration video directory and rename toboard.npy
- Open Anaconda prompt via Start Menu
- Switch to calibcam environment:
conda activate calibcam
- Run the program with
python -m calibcam
- In GUI, click "Perform calibration"
- Select all calibration videos
- After calibration, check reprojection in GUI
BBO internal MATLAB use only:
- Run
multicalibration_matlab_mcl_gen.m
in the video directory in MATLAB - Save resulting mcl file into video directory
Alternatively, run purely commandline-based with
$ python -m calibcam --help
usage: __main__.py [-h] [--videos [VIDEOS [VIDEOS ...]]] [--board BOARD]
Calibrate set of cameras
optional arguments:
-h, --help show this help message and exit
--videos [VIDEOS [VIDEOS ...]]
--board BOARD
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