Sign language detection with Python and Scikit Learn | Landmark detection | Computer vision tutorial

In this tutorial we are detecting hand signs with Python, Mediapipe, Opencv and Scikit Learn!

0:00 Intro
1:35 Data collection
4:55 This is the most important thing
11:31 Data processing
27:52 Train model
41:02 Test model

#computervision #signlanguagedetection #objectdetection #scikitlearn #python #opencv #mediapipe #landmarkdetection

[ComputerVisionEngineer]

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[jesussachez]

Hello from Mexico!

I love your job, I did each step in the same way as you, and I had no difficulties, I really feel very grateful for the time you spent teaching us.

Congratulations teacher!
👨‍🏫

[joque]

For all who are getting errors like "inhomogeneous shapes" while training on big datasets take into account that the MP Hands processing not always return 42 features (sometimes it just doesn't predict the coordinates well enough).

To avoid this situations always check the length of every array. You must have the same amount of images and labels, and the labels (landmark coordinates) should have the same shapes.
Just remove the samples that doesn't return all the landmarks or doesn't work well with the Mediapipe hands solution, to ensure all the data has the same shape and to avoid these numpy errors (and bad models).

[nguyenmanhcuong]

Great !!! I come from VN. Currently, I'm preparing my project about AI and this video helps me to complete the project. Again, thanks a lot.

[thesoftwareguy]

Sir!! You have my respect I have really learned lots of things in your whole video . Just keep making this ML/DL Project videos, that you have done like implementing from scratch any exciting ML/DL project.
Just Keep Going Sir!!!
Thankyou So much!!✨✨✨✨✨✨❤❤❤❤❤❤

[temibee-yl]

hello from Nigeria


i must say thanks for this video

it was short, precise and educative


yes, i had some errors which i was able to handle due to my past knowledge on Deep Learning. And for those that had issues with the disparity in the length of the data, you can always pad to its maximum length

currently, i have a model that can identify 26 classes correctly and i will definitely increase the classes. i made each classes to have 700 images under different lighting condition

thanks for all you do.

[artiste]

Thanks a lot! I really appreciate keeping this under an hour as well :))

[moMo-zuds]

Having trouble with my ML project now, but so happy to find your video. Thanks for all the work!!

[WelcomeToMyLife]

great tutorial on how to organize the project into separate steps!

[Random-StuffD]

Amazing tutorial keep making things like this, such an under rated channel!

[hpxalphaop]

srsly like the best video, now i can train my custom hand gestures etc. even, thank youu❤❤

[shwetaevangeline]

Thank you so much, sir for this wonderful project. I've completed my term project easily with the help of your video. Loved how we can create our own data instead of getting it from somewhere else.

[aryanrana-on]

Really Thank you sir. Great Project you helped me a lot to learn many things. After multiple errors solving finally i succeeded in making full project.

[duleamihai]

For those who faces the error where it can't convert the 'data' values from dictionary data_dict, just make sure that in photo samples you are giving the full hand because if not, there will be inconsistent data and the lists will not have the same lenght inside the data_dict['data']. Do again the photos retrieve part and all should be fine

[shubhamrana]

Thank u so much sir
I learnt a lot of things.

[ivanvijandi]

Mas argentino imposible jsjs, Gran video!

[paradisofernando]

i love all that, you are very clearly and simply 😍😍

[pratimbaidya]

Sir, please make a gesture recognition system same as this, but that would include face, pose and all. That will be very good help.

[senpaihere]

hehe subscribed, tysm for this it was very helpful

[abdulbarisoylemez]

thank you my teacher, great a video, i tried it myself, I did it :)