@Syed-Omair , I suggest that you try building opencv from source - the way we do it is shown here : https://gitlab.com/voxl-public/voxl-sdk/third-party/voxl-opencv/-/tree/add-python3-bindings/ -- this is a specific branch that enables python3 bindings.
I actually have pre-build deb for this here. This was built and tested for VOXL2, but it should work on VOXL1 in a 64-bit ubuntu docker image. Just before installing the deb, please create the following directory:
mkdir -p /usr/lib/python3.6/dist-packages/this is the place where cv2.so will be copied for python to use. I fixed this on the branch but the deb was built some time ago and does not have this fix, so it will fail during install unless you create this folder.
You should remove (or just don't install) other opencv packages before you install this one.
Please try it out and let me know if it works for you. Also, if you want to build it yourself, you can see build.sh for build flags, etc. This is a somewhat stripped down version opencv. Building all of the components would indeed take hours on voxl.
EDIT: the deb i provided may or may not work on VOXL1. The way it was built was actually on an ARM-based Mac inside a ubuntu arm docker, using native compiler flags. So i am not sure if it is compatible with armv8 or needs newer arch. However, you should give it a try. if the deb does not work for you, you can just try building this right on your VOXL1 inside docker using build.sh native option.
Alex