@yangashi

Your computer will detect when you are happy and start a forced 10GB update to swipe off the smile on your face.

@Kohwalter

This is by far the greatest course that I had on my entire life about computers. I work with full flight simulators for pilot training and many things that I learnt here became so clear for me... We see many systems in a very superficial way due to those abstraction levels and with those classes I can see what's behind the scene, what's going on in a deeper way.

Thank you, guys. Thank you very much for sharing all this knowledge and in a way so simple and easy to understand. You're the best!!!

And I'm recommending the channel for everybody I know that likes computer science on any level of understanding!

@shtanaka121

This is probably the best explanation of computer vision I've ever seen in my life.

@Firithfenion

"not to ask for updates if you are frustrated" LOL this course is so informative and entertaining at the same time. Very good job!

@aaronfox3613

Our university's robotics team is currently using OpenCV so our autonomous drone can see and navigate the world. Lots of theory, documentation reading, and pulled hairs come along with computer vision, that's for sure.

@Luke87o26

I am currently studying Imaging Science at RIT and this is the best explanation I have ever found. One of the greatest refreshers of what’s going on sense I got here.

@WistrelChianti

Facinating to get to this one in 2023 in the context of where things have gone since.

@GiveMeCoffee

I really love this show, it's a great way to introduce concepts before having a full lecture at a college class, or to have a wide general idea of what the career path will include.

@IceMetalPunk

For anyone who's interested, there's a (relatively) recent system called YOLO: You Only Look Once. Version 2 came out less than a year ago, if I remember right, and basically it uses computer vision techniques to classify many different objects in a scene in real-time video. As in, it's fast enough to fairly accurately detect and label many different objects in an arbitrary scene 24 times per second (24fps is a standard video frame rate). It's super interesting! :D

@mattkuhn6634

Ooo, speech recognition and synthesis!  I'm super excited for next week now - I'm a computational linguist, so this is my jam.  Can't wait!

@tahsinl

Great video! I'm taking a Computational Vision course right now. It was nice to know what you were talking about.

@user-oj3gb8nh2q

I found the narrator very pleasant to listen to. Also the video was very good.

@RX12345ABCDE

Thanks

@ozzyfromspace

You're an absolutely brilliant communicator! I'm doing a computer vision specialization on Coursera with the University of Buffalo and your high level intuition just gave me oodles of excitement. I dream of one day developing my own algorithm for real time navigation for data constrained systems. Thanks, really, this was a fabulous primer video, and certainly one I'll show my best friends. ☺️

@cikif

The computer in the thumbnail looks like the one in Don't Hug Me I'm Scared Part 4. Which makes the topic even scarier.

@Garentei

Paused because I noticed the Ghost in The Wires book on your shelf. Bought this book after a Kevin Mitnick conference I saw last year :)

@Filwoj00

The best online program, don't stop doin it!

@microbuilder

I totally understood all of this.  Yeah, thats it...

@TheBassManBoy

I've used Photoshop for years, it's really cool took take a look under the hood of image processing.

@smob0

Seems like a convoluted way to process images.