@@premagarwal_iitkgp I was going to say the same thing! Sometimes I think I'm dumb because I can't understand something in math, but then I watch a calculus video on khan academy or something, and I instantly understand. This guy teaches it very well which makes it a whole lot more fun and I understand much better.
Its 1AM right now in India and I'm just casually binge watching your videos to take ideas for my next CV project. TWT is the best channel ever for all these machine learning and AI related projects and learning.
Before I looked at OpenCV code without understanding a single thing I was so confused Now that I've understood the basics its started to become MUCH more clear Thanks a lot!
Thanks Tim for this awesome video. I realised that the parameter passed in the waitKey function is in milliseconds not seconds and so to display the image for 5seconds, you'd need to write waitKey(5000). Thanks so much once again.
Not gonna lie, I wanted to learn OpenCV, tried to learn on youtube a couple years ago, and decided to wait for time to upload. Already learnt a ton from the Django + react full-stack course :)
I think this is the best looking coding video I've ever seen. Coding videos tend to be very dry, but the way you highlight the commands in that little popup window and direct the attention to what you're doing really makes the video feel good to watch. Kudos!
Just yesterday I started with opencv. This will be much better to understand it than the book I am using it hahahah. Thank you Tim big fan of your work.
Waiting for this. Finally please continue this series... Please upload more videos in this series❤️❤️❤️😀😀.. Want to learn this from so many months... Please upload more videos on this.... Go deep in open cv...
Two months ago I defended my MA thesis. Topic: "Automatic recognition of stickers used in the production process." (Recognizing the number on the sticker) I investigated three different methods: OpenCV - matchTemplate, OpenCV - SIFT descriptors, and finally neural networks (tensorflow, convolutional neural networks). Problems to solve: rotated images, wrong perspective, etc. I would love to see something like this in your performance, as well as methods for recognizing text from photos. Nice tutorial!
Note: the code has apparently been updated since this video was released so you now type cv2.ROTATE_90_COUNTERCLOCKWISE rather than cv2.cv2.ROTATE_90_COUNTERCLOCKWISE.
Would be great if you include few of these projects in this series; 1. Virtual Drums a virtual drum that you can play by using a stick in the air. 2. Face Recognition 3. Selfie capture app ( takes selfie when you smile)
Looking forward for this series to grow. Please consider the following topics, would be great help. Image segmentation SLAM using open cv Image analytics
I have been looking for a really good OpenCV series for ages and when i found this by the amazing TWT, i was like this is amazing. I am going to be sharing this in a few coding servers i help in
Almost everyone on TH-cam finish an opencv course by doing facial recog using haar cascade.....would be interesting and unique to see you teach something new and something epic.
I dont really know a lot of OpenCV, but I would like you to explain thresholds properly (not just the syntax), also please make a cool OpenCV project at the end. Love your vids Tim.
Hey Tim! Awesome Tutorial :) One Correction No need to pass two times cv2 when writing cv2.cv2.ROTATE_90_CLOCKWISE . cv2.ROTATE_90_CLOCKWISE works fine :)
Hi Tim, I've been following you for some time now and I think this is one of the best tutorial series you could create. I'm also University student and I wanna build my own project with text recognition so I would love to see some tutorials on TEXT RECOGNITION, bye!
print(“Amazing video! For the next series, could you make a remake of the Deep learning chatbot series, but using word embedding and keras and tensor flow, instead of tflearn and “bag of words”. I specifically saw in your collaboration with freeCodeCamp that bag of words are flawed, and i’m struggling on making a chatbot implementation with your methods. Thanks in advance 😊”) Python 2 -> Error Python 3 -> Runs successfully
YEAH YEAH YEAH YEAH GOOO TTIMMMM, PLEASE CONTINUE THIS ENTIRE SERIES
I hope he'll not ditch this along the way
i feel the same
Yes pls tim
@@raymondmichael4987 has that ever happened?
@@aaravgp1332, yes
OpenCV is even easier to understand than I anticipated! Can't wait to see this series through - Thanks Tim!
OpenCV is not easy....it's the art of teaching that you find anything easy or hard.
@@premagarwal_iitkgp I was going to say the same thing! Sometimes I think I'm dumb because I can't understand something in math, but then I watch a calculus video on khan academy or something, and I instantly understand. This guy teaches it very well which makes it a whole lot more fun and I understand much better.
Its 1AM right now in India and I'm just casually binge watching your videos to take ideas for my next CV project. TWT is the best channel ever for all these machine learning and AI related projects and learning.
go to sleep and wake up with a refresh mind
Before I looked at OpenCV code without understanding a single thing I was so confused
Now that I've understood the basics its started to become MUCH more clear
Thanks a lot!
Thanks Tim for this awesome video. I realised that the parameter passed in the waitKey function is in milliseconds not seconds and so to display the image for 5seconds, you'd need to write waitKey(5000). Thanks so much once again.
I'll definitely be binge watching this series. Super clear, concise, and interesting. Perfect for beginners
Not gonna lie, I wanted to learn OpenCV, tried to learn on youtube a couple years ago, and decided to wait for time to upload.
Already learnt a ton from the Django + react full-stack course :)
I’m so hyped for this series LETS GOOOOOO
Just when I wanted to do an OpenCV project, Tim showed up!!!
I think this is the best looking coding video I've ever seen. Coding videos tend to be very dry, but the way you highlight the commands in that little popup window and direct the attention to what you're doing really makes the video feel good to watch. Kudos!
was waiting for this series from tim for ages
wow this is so great. i tried learning opencv by reading some pdfs but it was boring so i searched it on youtube and found you
def be_positive:
message = "keep it up man, your tutorials are so good and easy to understand"
print(message + "
syntax error XD @wariare12 world
in python the true is written True
stack overflow of positivity
Wouldn’t work
infinite loop love it haha
need the () in the function tho.
Finally the video I wanted from you 😀❤️
It's official, tim can read every subscriber's mind. I was searching for this tutorial a few days back and here it is. Love you tim!
Just yesterday I started with opencv. This will be much better to understand it than the book I am using it hahahah. Thank you Tim big fan of your work.
This channel couldn't get any bigger. Thank you Tim for the regular uploads.
Waiting for this. Finally please continue this series...
Please upload more videos in this series❤️❤️❤️😀😀..
Want to learn this from so many months... Please upload more videos on this.... Go deep in open cv...
I wish tim could get an award.
Dang it, am waiting for the 1M sub party!!
Every single video of Tim is priceless! I hope your dreams come true sir!
Could not find a good opencv tutorial, thanks Tim!
Please continue this series
Thanks TWT your channel is like a goldmine for lots and lots of us
Surely we would love it to continue..❤️❤️
Two months ago I defended my MA thesis. Topic: "Automatic recognition of stickers used in the production process." (Recognizing the number on the sticker) I investigated three different methods: OpenCV - matchTemplate, OpenCV - SIFT descriptors, and finally neural networks (tensorflow, convolutional neural networks). Problems to solve: rotated images, wrong perspective, etc. I would love to see something like this in your performance, as well as methods for recognizing text from photos. Nice tutorial!
This is the series I have been wating for long time!
OpenCv and its opportunities are countless and great, cant wait to see, hear and learn about it from you :)
Yes, this is what i am looking for, please continue the episode.
Finally. Just the video series that I need.
Note: the code has apparently been updated since this video was released so you now type cv2.ROTATE_90_COUNTERCLOCKWISE rather than cv2.cv2.ROTATE_90_COUNTERCLOCKWISE.
it's helpful thanks
Mehn I wanted to learn OpenCv.....and once again Tim delivers
Thnx for this series TIM, I'm grateful that I know you 😅 (on YT)
Would be great if you include few of these projects in this series;
1. Virtual Drums
a virtual drum that you can play by using a stick in the air.
2. Face Recognition
3. Selfie capture app ( takes selfie when you smile)
Im 14 from UAE and u have helped me so much i just want to Thank You
Your tutorials are perfect for that initial exposure. Love your stuff Tim
Let's go Been waiting for this series for ages
Looking forward for this series to grow. Please consider the following topics, would be great help.
Image segmentation
SLAM using open cv
Image analytics
hey Tim, you explain things in a really easy way. Thanks for that. Bro hug.
I already know Opencv but if tim will do a series for this. Damn I'll learn it again.
11:52
turn on subtitles
I ALREADY USE OPEN CV, BUT THIS tutorial is quite practical for me, kudos TIM
Wow! Just when i needed a tutorial on OpenCV, one just pops up! Great videos!!! Thanks
me 222222
Bro i just started learning this and had no idea where to start! TYSM!!! 😃
me too
TIM, REALLY GOOD WORK BROTHER. KEEP ON, I REALLY LIKE OPENCV. YOU MADE THAT, THANK YOU!!!😀
Yes Please make more videos in this series..
I have been looking for a really good OpenCV series for ages and when i found this by the amazing TWT, i was like this is amazing. I am going to be sharing this in a few coding servers i help in
wooow this is super cool TIM keep up
actually the time we put into the 'waitkey()' has unit of millisecond and your video is super cool !!!
very well explained. Pease make complete series
its kinda weird how this tutorial took so long to arrive keep it up man 😁
The series i was waiting for.i just wanted to know that in much days you would cover this series to much advanced level
Most awaited series. Thank you Tim. ❤️ From India.
Thanks for this type of tutorial specially for such quality content
It's my pleasure!
Please continue the course, your courses are the best❤️
Yeah!! Awesome series! 😎 I really want full stack computer vision projects with deployment. Thank you!
Super excited for this!!
14:25 this video WAS very interesting haha. Thanks! Pretty simple and basic introduction to OpenCV
waiting only for you my only reliable python bro...thanks for everything...!
Thank you Tim! Please continue your lectures- best stuff in youtube
Good stuff. Looking forward to the rest of the series.
very interesting video series TWT fan from India !, Please continue this Series ..
Almost everyone on TH-cam finish an opencv course by doing facial recog using haar cascade.....would be interesting and unique to see you teach something new and something epic.
Hi there, thanks a lot for your helpful lessons. I will be watching this useful series on opencv.
Thank you Tim for starting this new OpenCV computer vision series. Looking forward to some unique and amazing projects related to it. Keep Going.
Oh this is what i were was waiting
I dont really know a lot of OpenCV, but I would like you to explain thresholds properly (not just the syntax), also please make a cool OpenCV project at the end. Love your vids Tim.
u have a nice voice, bro...btw nice tutorial... ive recommended your channel to others...respect from India;)
u r the best!!
I was just searching about it...and u come up with this...
Awesome 😘
please try to continue this tutorial we really need it and i like the way you explain good job i appreciate
Please make the whole series!
Keep going
i am really excited
superb explanation
I would be like to see this series of opencv
Omg!! I was searching or videos like this!! I thought this video was published years ago! But then.. Omg!!!!!!!!!!!
Please Continue this series
Thanks tim
You are an inspiration to all of us
I find it's good since these are basics
Waiting for a long time🎉🎉🎉
I love your channel, Man. Please do another great playlist
Waiting for this!
Finally ! a no Indian video thaannkkks god 🙌
hello from Spain , thanks Tim for the video
Thanks for a tutorial on OpenCV!! Needed it a lot THANKS!!!!!!
Perfect timing, Tim! Keep it up!
Please go with this series
Please sir continue this series🙏
Amazing tutorial! Precise and concise. Thank you loads man
Hey Tim!
Awesome Tutorial :)
One Correction
No need to pass two times cv2 when writing cv2.cv2.ROTATE_90_CLOCKWISE . cv2.ROTATE_90_CLOCKWISE works fine :)
Weird, I started learning openCV yesterday and then you posted about it lol
best Quality of video as well as knowledge!! thnx brother 😁😎
Can you go through how to integrate Opencv with a Django n React app?
Really nice explainations : short and clear. I'm more a C++ programmer and I'm astonished to see how concise python can be to manipulate arrays.
Hi Tim. Excellent tutorial. Thanks for creating it.
Thank you for this series. Fantastic!
I don't need this, I know quite alot about OpenCV but I'm sure for a begginer this series is going to be perfect.
You are awesome Tim.
Very interesting! Thank you very much Tim!
I like the new editing :)
thanks!
thanks for the tutorial, i wait for the rest
Great tutorial Tim
Hi Tim, I've been following you for some time now and I think this is one of the best tutorial series you could create.
I'm also University student and I wanna build my own project with text recognition so I would love to see some tutorials on TEXT RECOGNITION, bye!
print(“Amazing video! For the next series, could you make a remake of the Deep learning chatbot series, but using word embedding and keras and tensor flow, instead of tflearn and “bag of words”. I specifically saw in your collaboration with freeCodeCamp that bag of words are flawed, and i’m struggling on making a chatbot implementation with your methods. Thanks in advance 😊”)
Python 2 -> Error
Python 3 -> Runs successfully