Real Time Sign Language Detection with Tensorflow Object Detection and Python | Deep Learning SSD

Language barriers are very much still a real thing.

We can take baby steps to help close that.

Speech to text and translators have made it a heap easier.

But what about for those that maybe don't speak or can't hear?

What about them?

Well...you can begin to use Tensorflow Object Detection and Python to help close that gap. And in this video, you'll learn how to take the first steps to doing just that! In this video, you'll learn how to build an end-to-end custom object detection model that allows you to translate sign language in real time.

In this video you’ll learn how to:
1. Collect images for deep learning using your webcam and OpenCV
2. Label images for sign language detection using LabelImg
3. Setup Tensorflow Object Detection pipeline configuration
4. Use transfer learning to train a deep learning model
5. Detect sign language in real time using OpenCV

Other Links Mentioned in the Video

Oh, and don't forget to connect with me!

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

[irugal]

Dear Nich Sir, I was a software engineer student, yesterday my results has come out and I got a first-class honor for my BSc degree, For the final project, I got 80 marks. My final project was Sign language detection in my language (Sinhala language). That project was kinda Advanced, but your sign language detection videos series inspired me to make a better project for my finals. So Thank you soo much and wanna say this, again and again, YOU ARE THE BEST AI TEACHER IN YOUTUBE, Keep making these kinda videos and make others' life brighter like this. I think you should pin this comment. ⭐⭐⭐

[oraredd]

For those who came here after seeing the Indian girl's post, yeah Priyanjali Gupta plagiarised this repo 😂

[alanmcoll]

The most logical and understandable guide on the subject I have seen. Great job.

[neelcrews]

Hey one girl has copied your code 😂 she is getting more fame than this video literally she is 😂😂😂😂😂😂😂😂😂😂😂

[NicholasRenotte]

Hey y'all! Wrote up a couple of steps to setup your environment. I'm planning on doing a video on this but until then, here's a crash course post:


3. OPTIONAL IF YOU HAVE A GPU - Install Cuda and Cudnn. Install Cuda first, then install Cudnn.



5. Then install python packages using the pip command:
Tensorflow: 2.3.1 - pip install tensorflow==2.3.1
OpenCV: 4.4.0 - pip install tensorflow==4.4.0

6. Install the object detection API. To do this, run these commands from a command prompt or terminal:
cd tensorflow/models/research
protoc --python_out=.
cp .
python -m pip install .

[samrogers]

dude. you. are. sick.
thank you man. keep pushing. you could really become something big. super high quality content.
cheers

[davidskopalik]

I was looking for helpful vids on my project and this guy already did my project. Nice

[MehulK-km]

you are definitely a best of the best in object detection man i need theses stuffd for NLP, ocr furthur image processing langchain and advanced gen ai too

[geethamadhuri]

Who are here after that LinkedIn post ? 😂

[rewriteending]

this guy is awesome, hope to work with you one day Nicholas

[KhalidNahar-esit]

I am Dr.Khalid, PhD in computer science and engineering, specialist in AI and ML, You done excellent job, would like to cooperate in some research projects if possible.

[dedisupardi]

You are my Prof in python. Thank you so much for all, the codes you share, the video and the tutorial you gave to us. 👍

[nyharenafitahiantsoaraheri]

Man, your amazing :) ...
This is what I was searching for after some months of Machine Learing study

[datapro]

Nick - Love your channel - Thanks for this video. I was still struggling after the "face mask" video. This one clarified a lot of the important points. It gave me a much better understanding of what is going on than just watching the first object detection video twice... ok ten times ;-) . Speed of training - I have an AMD RX 580 video card instead of NVidia so I'm stuck with training via my AMD 3700X CPU (or am I?). No hindrance to the learning experience of course, but if I had only known last year when I built up my systems... sigh. Thanks again, you are truly a terrific teacher!

[johndoe]

This is really impressive! Can't wait to try it out.

[zaheersuhabuth]

I'm loving the contents of this channel!

[gurpreetdeveloping]

Bro some girl has copied ur code and she is getting more fame than u.. I also came on ur video after seeing her video..

[andrescubides]

Just in time, I'm developing a project for my master's degree about this topic, thanks for the content

[satwikchowdary]

only after i started working on this that i realise how much effort it for this 30min video

[josephattia]

How do you not have more views? This is amazing content!