How to Create a Workout Pose Correction Tool
Blog post from Roboflow
This guide by Nathan Y. provides a comprehensive walkthrough for building a custom computer vision application using Roboflow and Mediapipe, focusing on tracking human movements through pose estimation. It outlines the process of creating a custom vision model, setting up a workflow using Roboflow Workflows, downloading and importing necessary libraries, and extracting keypoints from the model. The guide further explains integrating Mediapipe to visualize joints and creating a main prediction function to organize the prediction code, enabling the deployment of a workout pose correction tool. By leveraging low-code tools and open-source datasets, users can streamline the creation of computer vision applications, enhancing their ability to analyze and improve athletic performance or general body movement.