Face landmarks detection - Opencv with Python

We’re going to see in this video how to detect the facial landmarks using the Dlib library with Opencv and Python.

➤ Facial Landmarks Detection | with Opencv, Mediapipe and Python:

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[thedeveloper]

It's the best. I mean I have never seen a person that shows these things on a simple tutorial. You're the best :)

[BasitAli-wysq]

you explain it all in a very simple and easy way. Its very helpful.. Thank You

[praveer]

Became fan of you sir, your detailed explanation was awesome..want to learn more in computer vision from you..keep up the good work sir

[sumyab.]

It is very clean to understand and follow. Keep it a good job

[ingmario]

Excelentes tus videos. He aprendido mucho con usted, muchas gracias y saludos desde Venezuela.

[mihirgupta]

Great tutorial!! Straightforward and easy to follow. Thanks!

[muselektroniks]

awesome tutorial, been looking for this for a long time now.

[bradasfaslinafharf]

Thank you very much! Very easy to understand and digestible!

[ranjithkumar]

Great video tutorial that I've ever seen.
Such a wonderful

[franciscolima]

nice explanation! One suggestion - reduce text size to allow for a more compact view of your script. The column on the right looks microscopic by comparison

[MahediHasan-unto]

Thank you man, it was very helpful and I am looking forward to watch your other videos

[sayaccayas]

thanks man! you are the only guy explaining everything clearly and giving the source code. thanks! but I cant get the source code via your website, I wanted to download source though it is 20-30 lines of code :)

[keyo]

Great
thank you soooo much
keep up good work

[ojkolsrud]

So much better than doing this using Haar Cascades. It's virtually jitter free. I'm rewriting my code for dlib instead of haar now!

[TurkishiOSGaming]

You're awesome man! I learn it because of you.

[zpppyyyy]

The best tutorial. Thank you very much.

[jonatapaulino]

Thanks for the video, it's one of the best I've ever seen. There is a way to save these milestones in a database or in a csv file and then do a classification with a neural network. Do you have any videos you want? Thanks.

[nabilaagnacelia]

Thank you so much sir, i understand with your explain

[surabhinalamwar]

Thank you very much sir. Your video helped me a lot.

[arunaluweersooriya]

superb. very simple and understandable. (Y)