Human Pose Estimation for Baseball Swing using OpenCV and OpenPose

Human Pose Estimation for Baseball Swing using OpenCV and OpenPose

You'll learn building a hBuild a human pose estimation web app and deploy it to Streamlit sharing and Google Colab for free using OpenCV and OpenPoseuman pose estimation web app and deploy it to Streamlit sharing and Google Colab for free

Introduction I am very interested in using data in baseball or any other sports applications. Human pose estimation is one of the very interesting fields. If we are able to quantify the human pose of a movement such as a baseball swinging or pitching into data, then we might be able to translate the data into useful insights, such as injury prevention, or advanced training. There are some open-source human pose estimations such as PoseNet and OpenPose. OpenPose is developed by CMU team and has been widely used. I decided to try it for my application. Inspired by this tutorial by Vikas Gupta, I modified the code and created a web application using Streamlit and deploy it to Streamlit share, and also Google Colab using its GPU.

data-science sports machine-learning artificial-intelligence deep-learning

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