Modifying for different OpenNI compliant devices about learning-opencv-4-computer-vision-with-python-third-edition HOT 1 CLOSED

Thank you for the comment! I am glad to hear that the book has been helpful.

In general, knowledge of CMake and your platform's C++ toolchain (for example, Visual C++ on Windows) will help you dive deeper into the software stack of OpenCV and many other open-source libraries. I agree that these would be good topics for a future book or course. I find that I do more and more tinkering with library internals as time goes by...

Within the OpenCV source code, cap_openni2.cpp is where OpenNI camera support resides. However, I believe OpenNI itself is not maintained much anymore, so you may find it difficult to support new cameras through this route.

More recently, many OpenCV developers have adopted the OAK-D depth cameras, which have their own Python API. You can find samples in Chapters 4 and 10 of the (early-access) repository for our upcoming book, Learning OpenCV 5 Computer Vision with Python.

As part of OpenCV 5, an overhaul of 3D camera support is promised. However, this next version of the library is still work-in-progress.

from learning-opencv-4-computer-vision-with-python-third-edition.