Ritesh Kanjee – Pose Estimation Development using OpenPose Framework
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
The course comes with an unconditional, 30-day money-back guarantee. This is not just a guarantee, it’s my personal promise to you that I will go out of my way to help you succeed just like I’ve done for thousands of my other students.
Let me help you get fast results. Enroll now, by clicking the button and let us show you how to Develop Pose Estimation Apps Using OpenPose in Python.
***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)
Get Download Ritesh Kanjee – Pose Estimation Development using OpenPose Framework at Offimc.click Now!
Delivery Information
- Upon ordering the product, a delivery email with download instructions will be sent immediately to you so that you may download your files. If you log in (or create an account) prior to purchase you will also be able to access your downloads from your account dashboard.
- It is a digital download, so please download the order items and save them to your hard drive. In case the link is broken for any reason, please contact us and we will resend the new download link to you.
- If you don't receive the download link, please don’t worry about that. We will update and notify you as soon as possible from 8:00 AM – 8:00 PM (UTC+8).
- Please Contact Us if there are any further questions or concerns you may have. We are always happy to assist!
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