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Tutorial create pattern grid for calibration using gen_pattern.py
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Create calibration pattern {#tutorial_camera_calibration_pattern}
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=========================================
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The goal of this tutorial is to learn how to create calibration pattern.
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You can find a chessboard pattern in https://github.com/opencv/opencv/blob/3.4/doc/pattern.png
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You can find a circleboard pattern in https://github.com/opencv/opencv/blob/3.4/doc/acircles_pattern.png
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Create your own pattern
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---------------
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Now, if you want to create your own pattern, you will need python to use https://github.com/opencv/opencv/blob/3.4/doc/pattern_tools/gen_pattern.py
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Example
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create a checkerboard pattern in file chessboard.svg with 9 rows, 6 columns and a square size of 20mm:
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python gen_pattern.py -o chessboard.svg --rows 9 --columns 6 --type checkerboard --square_size 20
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create a circle board pattern in file circleboard.svg with 7 rows, 5 columns and a radius of 15mm:
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python gen_pattern.py -o circleboard.svg --rows 7 --columns 5 --type circles --square_size 15
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create a circle board pattern in file acircleboard.svg with 7 rows, 5 columns and a square size of 10mm and less spacing between circle:
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python gen_pattern.py -o acircleboard.svg --rows 7 --columns 5 --type acircles --square_size 10 --radius_rate 2
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If you want to change unit use -u option (mm inches, px, m)
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If you want to change page size use -w and -h options
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If you want to create a ChArUco board read tutorial Detection of ChArUco Corners in opencv_contrib tutorial(https://docs.opencv.org/3.4/df/d4a/tutorial_charuco_detection.html)
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@ -3,6 +3,14 @@ Camera calibration and 3D reconstruction (calib3d module) {#tutorial_table_of_co
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Although we get most of our images in a 2D format they do come from a 3D world. Here you will learn how to find out 3D world information from 2D images.
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- @subpage tutorial_camera_calibration_pattern
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*Compatibility:* \> OpenCV 2.0
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*Author:* Laurent Berger
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You will learn how to create some calibration pattern.
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- @subpage tutorial_camera_calibration_square_chess
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*Compatibility:* \> OpenCV 2.0
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