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Robust Deep Learning Pose Estimation in 1 hour – Build 5 Apps
Learn how we implemented OpenPose Deep Learning Pose Estimation Models From Training to Inference – Step-by-Step
Pose 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.
Course Information
Here is a break down of the course structure, check out how you will benefit from this training:

So as you can see, that the features mentioned above can save you a tremendous amount of time. In this course, we show you how to create your own Pose Estimation Python Apps as well as how to deploy your models using PyTorch. So essentially, we’ve structured this training to reduce debugging, speed up your time to market and get you results sooner. We have partnered up with Geeky Bee AI to bring the State-of-the-Art in AI.
In this course, here’s some of the things that you will build the following Apps in Python:

Bonuses:

Get a Career Boost with a Certificate of Completion
Upon completing 100% of this course, you will be emailed a certificate of completion. You can show it as proof of your expertise and that you have completed a certain number of hours of instruction.

Money-Back Guarantee

***Important Notes***
- This is a practical-focused course. While we do provide an overview of OpenPose theory, we focus mostly on helping you getting OpenPose working step-by-step.
- Course Price will increase on the first of June 2019 to $79 due to updated content. – Enroll in this training before the price increase!
- The Course on Udemy will be shutting down and will only be available on this platform.
Your Instructor
I am the founder of Augmented Startups and I also hold a Masters Degree in Electronic Engineering. With over 63’000+ students on Augmented AI Bootcamp, and over 79’000 subscribers on YouTube, I teach the latest topics on Artificial Intelligence and Augmented Reality I will act as your mentor through helping you build or grow your expertise, we look forward to having you!
Course Curriculum
Pose Estimation Development using OpenPose Framework
Welcome to the Pose Estimation
Introduction to the Course (1:46)
How to Join the Private FB Group
How to take this Course (4:27)
Open Pose Intuition & How it Works (11:07)
Github Repository
Tensorflow and Setup Troubleshooting
Setup & Execution of Pose Estimation (5:30)
App Development with AI Pose Estimation
App 1 – People Counter using Open Pose (3:11)
App 2 – Fall Detection (6:52)
App 3 – Yoga Pose Angle Corrector (6:44)
App 4 – Planking/Push up Detector (7:41)
App 5 – Body Ratio Calculator (6:52)
App 6 – OpenPose in Unity [UPDATED!!] (6:04)
Course Conclusion & Bonus Section
Where to go from here? [BONUS]
Convolutional Neural Networks (11:17)
Artificial Neural Networks (18:30)
Access download Ritesh Kanjee – Pose Estimation Development using OpenPose Framework at Forimc.com right now!
Delivery Method
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