Computer Vision - Haar-Features

[@kevin850406]

Thanks for the clear explanation! After searching more than 1 hour, you're the first to make me understand what Haar features is all about.

[@yousefalnaser1751]

Skenario! awesome! great video

[@arnabpersonal6729]

This guy is good at both data structures and machine learning

[@pankajdeoli493]

bhai bhot ache se explain kiya hai.
maza aa gya

[@jimmywang8582]

The most clearest explanation ever！👍

[@internationalrelationsdiar2930]

as awsome as it can good. I have got my project submission tomorrow and u saved me from getting ripped.....thanku so much

[@globalsoftwaresupport7141]

I'm glad you find it useful!!!

[@mandarw.369]

I've mines tomorrow

[@texasdaveodell]

Extremely well explained! Thank you very much for your time on this. It makes TOTAL sense now.

[@globalsoftwaresupport7141]

I'm glad you find it useful :)

[@RuchiSharma-hv2xk]

Amazing explanation

[@daliabenali5654]

Enfiiiiiin je viens de comprendre ❤️ thank you so much sir 😘

[@hamidnodehi]

Very nice and clear explanation. Thank you.

[@saivamseedharraju3963]

as clear as crystal !!

[@ashug3591]

Super awesome, 2morow seminar this helped a lot thanks 🙏🏻

[@globalsoftwaresupport7141]

Im very glad I could help

[@martinzn1996]

Very well explained, thank you!
(I'm really enjoying your "oookay") :D

[@biargeamauri]

Wow! Cean, flow and precise explanation! Well done.
Thank you Sr.

[@datphantranquoc3695]

Very clear explanation, thanks a bunch sir

[@cavalcanteluiz413]

Perfect explanation.
Thank you!!!!

[@kudikalaraviteja3210]

good explanation

[@RajSharma-ui5vq]

Amazing Explanation. however, I cannot find the next lecture.

[@sau002]

I like the approach you have taken. Not complicated at all. Thanks.

[@selflearner8895]

Thank you so much...the best explaination ❤️

[@harshr1831]

Thank you for the on point explaination!!

[@dutabesarkonohagakure647]

Penjelasan e jos tenan

[@septimusseverus252]

Thank you for this

[@bharathv5834]

Good one. You explained it clearly. Thank you man.

[@globalsoftwaresupport7141]

Thanks for the kind words! I'm glad you find it useful!

[@sedthh]

Nagyon jók a videóid, csak így tovább!

[@globalsoftwaresupport7141]

Koszi szepen :)

[@ΜΙΧΑΗΛΔΕΛΗΜΗΤΡΟΣ]

Nice! Thank you!

[@phymath-jisanislam9639]

Precise and Perfect.

[@sultanmansour639]

Thanks for your great video.

[@anongeorge2504]

Great Work, The best

[@jamalahmed7342]

thanks

[@gsrsatyanarayana9986]

Extremely useful, where can I find remaining lectures

[@globalsoftwaresupport7141]

Thanks for the kind words. Check out www.globalsoftwaresupport.com for further articles and videos!

[@gsrsatyanarayana9986]

I have gone through that site, but can't find these topics

[@ralphroque5548]

You explained it very well! Thank you for this video, really helpful.

[@frankzhang6009]

Nice one

[@ricosrealm]

How are the Haar features scaled for matching?

[@max_4310]

I'm very appreciate for this knowledge . Can I ask you some question ,How can we know the appropriate threshold that we'll count to weak classifier? The value in the 4*4 mask is gray scale from 0-255 to 0-1 right? Then the intensity of our face affect on this method? thanks!

[@sridiahhardianti6361]

very nice explanation ! have you make the next episode of adaboost and cascade part ?

[@globalsoftwaresupport7141]

Yeah I plan to do so (especially gradient boosting which is quite popular know)

[@sridiahhardianti6361]

That's great! I like your pronounciation and accent sounds so clear to me. Wish I can see the next video soon. Cheers, Kim.

[@globalsoftwaresupport7141]

Thank you very much for the kind words Jack!

[@zsejkemore1794]

Nagyon jo video : )

[@saranzeb2183]

where is other videos you are talking about ?

[@刘岩松-f8l]

very useful ！

[@hari5357]

Hi,
In real case brighter pixels have higher values(255 -->1(double value)) and darker pixels have lower values(0-->0(double value)) right? so i am little confused.can anyone explain?

[@globalsoftwaresupport7141]

Yeah exactly. You want to know how to handle RGB components so when we have 3 values?

[@hari5357]

@@globalsoftwaresupport7141 no.. my doubt was in video darker pixels are assigned 1 & brighter pixels vales are zero so that's not correct right?

[@globalsoftwaresupport7141]

@@hari5357 ahh I see your point yeah 0 is black and 255 is white pixels. So the higher the value the brighter the color

[@hari5357]

@@globalsoftwaresupport7141 then why in the video shows 1 for black and 0 for white?

[@imenecharabi8945]

yeah same remarque, it was a little mistake i suppose..

[@luqmanbharoto4605]

crystal!

[@firdaliazaiman7343]

where is the video of adaboost explanation ?

[@globalsoftwaresupport7141]

Firdalia Zaiman th-cam.com/video/QqkV7ZtRv7w/w-d-xo.html

[@paterfamiliasgeminusiv4623]

what an interesting accent

[@spoingus20]

italiano ig

[@doublecrosserthunder]

Oh okay

[@probhakarsarkar2430]

ouky

[@easypeasy-artncraft9137]

oook😀👍

[@kenjinks5465]

Would Haar be similar to or overlapping with Walsh then?
mathworld.wolfram.com/WalshFunction.html

[@ramibishara5887]

Ah ok

[@abidhrashyd5984]

why dont you tech python.

[@ac-vp1nr]

STOP SAYING OK. I BEG YOU

[@ericklestrange6255]

lol ur strong... german? accent is a good change from indian

[@ac-vp1nr]

stop saying oh ok. stop saying oh ok. it's super anoying

[@AndresHernandez-wt5uu]

Amazing explanation!
Thank you very, very much