In this post, you’ll learn to implement human activity recognition on videos using a Convolutional Neural Network combined with a Long-Short Term Memory Network, we’ll be using two different architectures that you will create in TensorFlow We will also cover some theory about other approaches that can also be used to classify the videos.
In this week’s tutorial, we’ll learn to utilize the landmarks to count and fingers (that are up) in images and videos and create a real-time hand counter. We will also create a hand finger recognition and visualization application that will display the exact fingers that are up. This will work for both hands.
In last Week’s tutorial, we learned how to work with real-time pose detection and created a pose classification system. In this week’s tutorial, we’ll learn to play a popular game called “Subway Surfers”
https://www.youtube.com/watch?v=aySurynUNAw In this tutorial, we’ll learn how to do real-time 3D pose detection using the mediapipe library in python. After that, we'll calculate angles between body...
In this tutorial you’ll learn how to do Real-Time Selfie Segmentation using Mediapipe in Python and then build the following 4 applications. Background Removal/Replacement
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In this article, you will learn how to build python-based gesture-controlled applications using AI. We will guide you all the way with step-by-step instructions. I’m sure you will have loads of fun...