RapiCalib is a camera calibration app from an OpenCV tutorial modified to work directly with the Raspberry Pi camera.

A modified RaspiVid application is used to provide the image data (in a way similar to the RaspiCV project). The original RaspiVid.c is modified (see d019d18) to pass image and motion vector buffers to callbacks defined in cv.h. File cv.cpp implements these callbacks and provides the latest captured frame to class RaspiVideoCapture.

The camera_calibration code and the XML configuration file come from the OpenCV library. The original camera_calibration.cpp is modified (see e2bbc46) to support the Raspberry Pi camera.

The exact camera configuration (parametrs passed to the RaspiVid) is in cv.cpp (function process_thread). Currently the configuraton is limited to grayscale format. This can be easily modified (see function cv_init()).

First build the OpenCV library (version 3.1.0) and make sure it is registered by pkg-config:

pkg-config --libs opencv

Then make the USERLAND_DIR variable in Makefile point to Raspberry Pi's userland repository. Makefile references some files required by RaspiCV.c.

Finally, build the application by make and run it by make run or:

 raspicalib default.xml

The application works exactly as described in the tutorial. The Raspberry Pi camera is used if you set the Input element in the XML configuration file to any number in range 0 to 9, e.g. <Input>"1"</Input>.

The camera calibration code and tutorial was written by Bernát Gábor as a part of the OpenCV library (license).