Pose Estimation - Deep Learning using OpenPose

The Complete Guide to Creating your own Pose Estimation Apps: Learn the Full Workflow - Build 5 AI Apps

3.50 (87 reviews)
Udemy
platform
English
language
Software Engineering
category
409
students
1.5 hours
content
May 2020
last update
$49.99
regular price

What you will learn

What is Pose Estimation

How to take Pose Estimation further using OpenPose

Step-by-step instructions on how to execute OpenPose

How to implement your own Fall Detection App.

Using OpenPose to Count People

Dive deeper by using Pose Estimation for Yoga Pose Identification

Ensure perfect planking and push up posture with OpenPose

Calculate real-time body ratios

Description

Learn how we implemented OpenPose Deep Learning Pose Estimation Models & Build 5 Apps

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.

What We Cover in the Course

We 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:

  1. Fall Detection

  2. People Counting

  3. Yoga Pose Identification

  4. Plank Pose Correction

  5. Automatic Body Ratio Calculation, and much more

As 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 Fundamentals

  • Convolutional Neural Network Fundamentals

Personal help within the course

We 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. We regularly update this course to reflect the current marketing landscape.

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.

If you want to get a marketing job or freelancing clients, a certificate from this course can help you appear as a stronger candidate for Artificial Intelligence jobs.

Money-Back Guarantee

The course comes with an unconditional, Udemy-backed, 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 Using OpenPose.


***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.

Content

Introduction

Introduction
How to take this course.
Setup & Execution of Pose Estimation
Open Pose Intuition and How it Works
Pose Estimation Quiz

App Development with AI Pose Estimation

App 1 - Person Counter
App 2 - Fall Detection
App 3 – Yoga Pose Angle Corrector
App 4 – Planking/ Push up Detector
App 5 - Body Ratio

Course Conclusion

Where to go from here? [BONUS]
[NEW] XR Developers Podcast with Ritesh Kanjee

Screenshots

Pose Estimation - Deep Learning using OpenPose - Screenshot_01Pose Estimation - Deep Learning using OpenPose - Screenshot_02Pose Estimation - Deep Learning using OpenPose - Screenshot_03Pose Estimation - Deep Learning using OpenPose - Screenshot_04

Reviews

Ravi
June 13, 2022
Although it's still the starting point of the course, but it's above of my expectation. Simple and easy to understand.
Nathan
December 1, 2020
It is not a very detailed course and doesn't cover many of the features of TF-Pose estimation or OpenPose. There are a few good points and it is a very interesting topic.
Ahmad
November 6, 2020
The code is outdated, since some imports are no longer supported in new library versions, and lots of other problems faced when trying to run the project. This course should be taken down of Udemy as it's outdated, or the instructor should follow-up and upgrade his code, and mention the possible problems we may get into, with their corresponding solution.
Alex
June 20, 2020
gaat veel te snel door installatie links en dergelijken heen is daardoor lastig te volgen. sommige links in video's kloppen niet.
Vishal
April 16, 2020
app1 - person counter. YOU START THE FIRST LECTURE REFERENCING A PREVIOUS NON EXISTENT LECTURE!!! where are the resources for run.py or webcam.py? there are just videos?????
Satha
March 29, 2020
This course shows how to implement the code and running it, but I hardly learn any thing out of this. May need more explanation on why the code is written like the way it is written. It needs some improvement in the structure of the course.
Shrinivas
January 3, 2020
Its the worse course. Not at all helpfull and understandable. Wish we had a other speaker with more knowledge and less money minded.
Ose
December 29, 2019
This course is all about Human Pose Estimation and its application. I personally recommend to go for OpenCV and Python Tutorial before jumping into this course. This will help you in understanding the implementation. Instructor is excellent and active in responding to questions. I think it will be great if the course had the network training and test data explanation since I wanted to know the physics behind Human Pose estimation. Overall, it was a good experience. Thanks !!!
Devin
September 15, 2019
Good beginner start, but would have liked to see a little more if the technology or more from the paper.

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2305764
udemy ID
4/3/2019
course created date
11/22/2019
course indexed date
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