OpenCV Python TUTORIAL #4 for Face Recognition and Identification

OpenCV with Python Series #4 : How to use OpenCV in Python for Face Recognition and Identification

Sections
Welcome (0:00:00)
Copy Haar Cascades (0:04:27)
Haar Cascades Classifier (0:07:11)
Using the Face Classifier (0:09:36)
Draw a Rectangle in OpenCV (0:16:15)
Recognizer (0:20:13)
Labels from directories (0:27:45)
Training image into a numpy array (0:31:04)
Region of Interest in Training Data (0:34:06)
Creating Training Labels (0:37:06)
Using Pickle to Save Label IDs (0:40:38)
Train the OpenCV Recognizer (0:42:20)
Implement Recognizer (0:44:28)
Load Label Names from Pickle(0:47:46)
OpenCV PutText (0:53:02)
Resize Images for Training (0:54:35)
Eyes and Smile (0:58:01)
Live Tests (1:00:46)
Final thoughts (1:02:23)

Install OpenCV for Python on your system:

[CodingEntrepreneurs]

It's 2022 -- who wants a new version of this one? Please comment!

[mustafaakgun]

you're building one of the most understandable and efficient tutorials in this platform.
thanks a lot for your efforts, my friend!

[michaelmcdonough]

I can't thank you enough for these tutorials. Your explanations are clear and concise and the auxiliary blog posts are super solid. Thank you!

[qurrataayuni]

I have never been so blessed with this kind of tutorial!! I was about to give up to do opencv but you came out with this! Thank youu!! It's really helpful!

[Leonscott]

Wow, this has to be the most useful tutorial I've followed, not only did you make it work accordingly, you explained concisely what each part of the code does step by step, without assuming that whoever was watching already knew what it does, thank you for making this! And as a side note, I really can't blame the classifier for recognizing you as Nikolaj!
Face Classifier: "Bro, it's the same guy!"

[joswrezende]

Man. 4 years ago when I was teenager I met processing and openCV for the first time and I get crazy because it was SUPER cool to make art and crazy stuffs with it but it was too hard and don't know anything about programming. Now you gave me this tutorial (I'm kind late for this video actually) but I should thank you so much because (now I know python) you make everything much easier to understand and get me into it again.

Thank you so much.

My next object is to make machine learning with some graphical interfaces to see how and what computer doing in the process of learning just for like a game. If you have some tips (not tutorial, I want to learn it by my own) I appreciate.

[sudeepdeep]

Bro when I'm ready to give up a project on face recognition using opencv...then i think one last try and select your video..now i successfully completed it😍tnquu sir for educating me...now i become fan of yours

[balthiertsk]

Hey Justin, this is an amazing tutorial, thanks!
I do want to share that the "conf" of CV2's predict are actually losses. So the higher it is, the more uncertain the prediction is!

[albertsnow]

You speech is very clear, every word every sentence. I think the speed is very good.
Because I'm Chinese, but I can understand what you say from the subtitle. It's very good for me.
Thanks

[MrUmsdavid]

The best python ocv tutorial ever 💪🔥 thank you so much

[tomasemilio]

hey man, you are a very good teacher.

[arimant_ara]

man you save my live, you're a lifesaver, thank you so much

[tombrezel]

Nice tutorial sir! this is the first app, I created on python, Thank you sir

[southsidegarage]

2023 still working Really Coool ! thank you ! Perfect!

[CubedAgency]

Thanks for the great content and lessons! BTW, it's recorded in BGR and not (RGB) because when the developers originally made OpenCV, webcams and other cameras used the BGR method as the standard color definitions. That made the conversion process from numerical values for HEX much easier.

[Dip_Physics]

Awesome tutorial. What helped me most is your line by line explanation of the code that you wrote. Thank you a ton teacher.

[warflowersociety]

Fun. I'm going to have to play with this.

[Gavy]

Amazing video, I had build a model for Quick face recognition using CNN but just wanted to use it over OpenCV and this was perfect! Thank you :)

[clintonomondi]

I think the fastest way to get image data for maybe members of your family is asking the to stand in front of the webcam and using opencv take the region of interest per frame and saving them... this would generate hundreds of images and in a short time...
For CNNs, the more the data the better....

[sumanbhattacharjee]

I couldn't thank you more for building this tutorial, you have my respect and all the well wishes, thanks a lot justin, god bless you. Love from