Real Time Computer Vision with Tensorflow.JS and React
Offered By: YouTube
Course Description
Overview
Explore real-time computer vision applications using Tensorflow.JS and React in this comprehensive tutorial series. Leverage pre-trained models to detect facial landmarks, full body poses, and hand keypoints using your machine's webcam. Learn to implement AI face landmark detection, hand pose estimation, body pose estimation, and body segmentation. Discover how to build gesture recognition systems and object detection applications. Gain practical experience in capturing object detection history using Tensorflow Object Detection and Python. Dive into cutting-edge computer vision techniques and enhance your skills in developing interactive, AI-powered web applications.
Syllabus
Real Time AI Face Landmark Detection in 20 Minutes with Tensorflow.JS and React.
Real Time AI HAND POSE Estimation with Javascript, Tensorflow.JS and React.JS.
Real Time Pose Estimation with Tensorflow.Js and Javascript.
Real Time Body Segmentation Tutorial with Tensorflow.JS and React.JS.
Real Time AI GESTURE RECOGNITION with Tensorflow.JS + React.JS + Fingerpose.
Building an Object Detection App with Tensorflow.JS and React.JS in 15 Minutes | COCO SSD.
Capturing Object Detection History with Tensorflow Object Detection and Python.
Taught by
Nicholas Renotte
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera Introduction to Computer Vision
Georgia Institute of Technology via Udacity