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In this tutorial, I show how to blend the Intel Depth Camera D435i and the Elgato Cam Link 4K + Mirascreen WIFI Display Receiver video input source in Opencv 4.

Prior to attempting this tutorial, I assume you have the following hardware at hand:
– Elgato Cam Link 4K
– Depth Camera D435 or D435i
– Mirascreen G5 Plus

Step 1: Ensure OpenCV and Python 3 are running on your Windows machine.

Tutorials:
https://www.learnopencv.com/install-opencv-4-on-windows/

Why Windows?
I tested the Cam Link 4K in linux and the image was not great. I have not done this on a Mac.

Step 2: Install the Intel® RealSense™ SDK with Python 3 wrappers.

If everything went well in step 1, we are now ready to install support for the Intel 3D stereo sensor.

SDK link:
https://github.com/IntelRealSense/librealsense

pyrealsense2 python module:
https://pypi.org/project/pyrealsense2/

Tutorials:
This tutorial below uses python 2, but following the same steps, one can install the library for python 3.
https://jessicayin.com/realsense-opencv-installation

Prior to proceeding, please verify that you can run the example code under:
https://github.com/IntelRealSense/librealsense/tree/master/wrappers/python/examples

Step 3: Connecting the Cam Link

Elgato tutorial:

Elgato Cam Link video tutorial

Local Cam Link + Wifi Dongle computer connection:

Opencv video source test:

Setting up video in opencv tutorial:
https://www.pyimagesearch.com/2016/02/22/writing-to-video-with-opencv/

Cam link + Wifi Dongle as opencv source:

Running opencv again after connection should show the content of your wireless display. In our case, it will show the third desktop connected via wifi.