Raspberry Pi HQ Camera Module Review and Machine Learning Demo

In-depth review and image segmentation demo featuring the brand-new Raspberry Pi HQ Camera Module. Join me as I explore this camera's capabilities, compare it to the previous V2 camera, and show you how to train an image segmentation model on your Raspberry Pi to separate humans from the background effortlessly.
Link to the Hackster.io article:
www.hackster.io/dmitrywat/ras...
The hardware for this video was kindly provided by Seeed studio, check out Raspberry Pi HQ Camera Module and other hardware at Seeed studio store!
www.seeedstudio.com/Raspberry...
www.seeedstudio.com/3MP-8-50m...
www.seeedstudio.com/10MP-25mm...
0:00 Introduction
0:54 Specs
2:22 Telephoto lens photos
2:58 Comparison photos
3:47 Video with telephoto lens
4:50 Image segmentation explained
5:59 Model training
7:45 Tensorflow Lite video stream segmentation
10:02 Ending
Add me on LinkedIn if you have any questions:
/ dmitry-maslov-ai
Credits for the music:
CIPHER - A Chill Synthwave Cyberpunk Unique Mix Special Microwave
HOME - Resonance (Horseshoe Theory remake)
• CIPHER - A Chill Synth...
#RaspberryPi #HQCamera #ImageSegmentation"

[@ajaykushwah6793]

Great video... I m new in the computer vision.. can I segment any object( say any of my custom object) which is as foreground and rest in the background with the help of this ??
And how can I train my coustom model ??

[@Hardwareai]

Yes, you can. Have a look at the blog article, there is some more details there.

[@ludmilamaslova3773]

Very good 🙂

[@Hardwareai]

Thank you! Cheers!

[@FuZZbaLLbee]

Can you also use this camera on Nvidia. Jetson Nano?

[@Hardwareai]

Great question! Short answer -yes, but you will need to do some hardware modification for camera module. Long answer - read here developer.ridgerun.com/wiki/index.php?title=Raspberry_Pi_HQ_camera_IMX477_Linux_driver_for_Jetson

[@levbereggelezo]

Спасибо за информацию

[@Hardwareai]

Не за что :)