Custom Hand Gesture Recognition with Hand Landmarks Using Google’s Mediapipe + OpenCV in Python

Hey what’s up, y’all! In this video we’ll take a look at a really cool GitHub repo that I found that allows us to easily train a Keras neural network to recognize our own custom hand gestures, and that runs flawlessly on a CPU. But there’s more: I’ll actually guide you through the entire process and explain the logic of how everything works behind the scenes too. We’ll use Mediapipe for extracting hand landmarks (which runs a pipeline of TensorFlow neural nets under the hood), which will allow us to use relatively small training datasets for training on our new custom hand gestures. GitHub repository (translated into English): Original GitHub repository (in Japanese) A series of videos I made about OpenCV: Here’s the same repo but in React, and nextJS: https:/