Pose Estimation and Face Landmark Tracking with Raspberry Pi and OpenCV

Hey Tim,sorry for the late response.I’ve been digesting the nutrition of your last note recently. :laughing: Apparently I’m just a beginner in python and computer vision field,so I definetely need some time to catch up with the new revelations here.
Let me elaborate my on-going work to you.In short,I intend to make an ‘amorphous’ mask to disguise myself from surveillance system around us,and I think, why don’t I use pedestrians’ faces as my transformation materials.I can switch my facial feature entirely or partially to other’s,disguising myself from CCTVs by confusing them.So I need a camera to film when I’m walking,meanwhile use codes to seize passers’ faces as my material,and output the amorphous organs into seperate screens,just like a syber protestor.
After comparing OAK-D Lite camera to 6mm & 16mm cameras,I may choose 16mm.Oak-D absolutely has largest resolution and least distortion,while 6mm is just opposite,but appearance also matters(I don’t what the style to be too modern,I want to keep it in a junky style),thus 16mm ‘single-eye look’ camera seems fit.The code of this Luxionis dude and the Artist Liam recommanded seems solve the transmitting part.And for screens,I have a question,how many micro-monitors can function simultaneously connected to one 4B Pi?
I’ll be very glad to share it with you when I finish,Thank you for your warm help all along.