First ever live steam!
Thanks so much for tuning in, in this live stream we're going to go step by step and create a real time sign language detection model using Python, OpenCV and Tensorflow Object Detection. We'll take it step by step using previously developed code bases to get up and running fast!
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
CHAPTERS
0:00 - Start
7:00 - Cloning Baseline Code
8:42 - Collecting Images using OpenCV
20:30 - Labelling Images for Object Detection
43:48 - Training the Model
1:10:45 - Making Real Time Detections
PREVIOUS TUTORIALS
Original Tutorial: • Real Time Sign Language Detection wit...
CODE
Real Time Object Detection Code: https://github.com/nicknochnack/RealT...
Image Collection Code: https://github.com/nicknochnack/RealT...
LabelImg: https://github.com/tzutalin/labelImg
SOCIALS
Oh, and don't forget to connect with me!
LinkedIn: / nicholasr...
Facebook: /
GitHub: https://github.com/nicknochnack
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand
Watch video 🔴 Sign Language Detection Tutorial with Tensorflow Object Detection | LIVE STREAM online without registration, duration hours minute second in high quality. This video was added by user Nicholas Renotte 01 January 1970, don't forget to share it with your friends and acquaintances, it has been viewed on our site 67,220 once and liked it 1.1 thousand people.