Pose Estimation - Deep Learning using OpenPose

Learn how we implemented OpenPose Deep Learning Pose Estimation Models & Build 5 AppsPose Estimation is a computer vision technique, which can detect human figures in both images and videos. You may have first experienced Pose Estimation if you've played with an Xbox Kinect or a PlayStation Eye. Now image developing your own Pose Estimation applications but without the specialized hardware, i.

e. just using an ordinary web-cam and the power of AI. Now you can.

Whether you want to apply this technology for character animation, video games, assisted driving systems or even medical applications, this course can help you achieve your goal in the shortest possible time. What We Cover in the CourseWe take you on a journey, assuming you know nothing about Pose estimation, from learning the fundamentals of the technology to implementing the OpenPose Framework in real-time. We also explore how to adapt this frame work for 5 practical applications:Fall Detection People CountingYoga Pose IdentificationPlank Pose CorrectionAutomatic Body Ratio Calculation, and much moreAs you can see, you will be learning the state of the art in Deep Learning using AI to understand human actions and behaviors.

You also get helpful bonuses:Artificial Neural Network FundamentalsConvolutional Neural Network FundamentalsPersonal help within the courseWe donate my time to regularly hold office hours with students. During the office hours you can ask me any business question you want, and we will do my best to help you. Students can start discussions and message us with private questions.