migration: github.com/opencv/opencv
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@@ -77,13 +77,13 @@ Source code
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You may also find the source code in the `samples/cpp/tutorial_code/calib3d/camera_calibration/`
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folder of the OpenCV source library or [download it from here
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp). The program has a
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](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp). The program has a
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single argument: the name of its configuration file. If none is given then it will try to open the
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one named "default.xml". [Here's a sample configuration file
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/in_VID5.xml) in XML format. In the
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](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/in_VID5.xml) in XML format. In the
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configuration file you may choose to use camera as an input, a video file or an image list. If you
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opt for the last one, you will need to create a configuration file where you enumerate the images to
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use. Here's [an example of this ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/VID5.xml).
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use. Here's [an example of this ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/VID5.xml).
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The important part to remember is that the images need to be specified using the absolute path or
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the relative one from your application's working directory. You may find all this in the samples
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directory mentioned above.
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@@ -92,7 +92,7 @@ QR faster than SVD, but potentially less precise
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- *camera_resolution*: resolution of camera which is used for calibration
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**Note:** *charuco_dict*, *charuco_square_lenght* and *charuco_marker_size* are used for chAruco pattern generation
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(see Aruco module description for details: [Aruco tutorials](https://github.com/Itseez/opencv_contrib/tree/master/modules/aruco/tutorials))
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(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/master/modules/aruco/tutorials))
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Default chAruco pattern:
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