With the nano I’m streaming 3 video feeds simultaneously, see image. The black and white image in the left is a near infra red picture (NIR), the picture in the middle is a thermal image (LWIR) and the full screen image is the visible (Vis) picture. Now I would like calculate a new image using the NIR and the Vis images according to the scheme new_image=(NIR-Vis) / (NIR + Vis). After standardization the operation results in an image with a value range from -1 to +1. Therefore it is called normalized. The NDVI image allows the investigation of the health of the vegetation. Later the cameras are mounted on a multicopter, see also Nano Projects.
I have some experience with Pascal and Fortran, but not with C++, Python or Opencv.
My questions are:
Is the task basically possible?
What would be the best and easiest way/language to perform the above real time calculation on the jetson nano? Two or three images per second are ok.
It would be very nice if someone creates a simple example for me. For test purpose we should use two videotestsrc pattern=… feeds first.
Many thanks in advance,
Best regards,
Wilhelm
