Step 1: Ensure OpenCV and Python 3 are running on your Windows machine.
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.
pyrealsense2 python module:
This tutorial below uses python 2, but following the same steps, one can install the library for python 3.
Prior to proceeding, please verify that you can run the example code under:
Step 3: Connecting the Cam Link
Local Cam Link + Wifi Dongle computer connection:
Opencv video source test:
Setting up video in opencv tutorial:
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.
Step 4: Setup MagicMirror in windows.
Magic Mirror configuration modules:
Step 5: Merging D435 input source and Cam Link.
OpenCV image blending tutorial:
Transparent overlay in OpenCV tutorial:
Step 6: Blending the output of the align-depth2color.py example for the librealsense sensor and the display output of the wifi dongle.
Code for aligning depth to color:
Github to reproduce blending in 1280X720: