Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Pose Estimation - Deep Learning using OpenPose
Rating: 3.5 out of 5(94 ratings)
461 students

Pose Estimation - Deep Learning using OpenPose

The Complete Guide to Creating your own Pose Estimation Apps: Learn the Full Workflow - Build 5 AI Apps
Last updated 5/2020
English

What you'll 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

Course content

3 sections11 lectures1h 20m total length
  • Introduction1:46
  • How to take this course.4:27

    Github Link has changed to https://github.com/augmentedstartups/Pose-Estimation

  • Setup & Execution of Pose Estimation4:15

    Alternative Repos (If original repo is not working)

    https://github.com/gsethi2409/tf-pose-estimation

    https://github.com/tryagainconcepts/tf-pose-estimation

    https://github.com/gsethi2409/tf-pose-estimation

    Method 1

    If you get the above error in the next few lectures then

    Go to ./tf-pose-estimation/tf-pose/estimator.py and commenting out import tensorflow.contrib.tensorrt as trt .

    Method 2 (Preferred Method)

    Other wise check out the older revision of the repo.

    tf-pose-estimation -> "git checkout 60c0ebfee71f8156a2538124b030b8e3b302c806 ." to remove "trt" dependence.


    Because In latest code. They have implemented tensorrt which supports the latest version of tensorflow

  • Open Pose Intuition and How it Works11:07
  • Pose Estimation Quiz

Requirements

  • Background in OpenCV & Computer Vision
  • Have prior experience in Python using Anaconda.
  • A PC/Laptop with CUDA-enabled Nvidia graphics Card for Acceleration

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.

Who this course is for:

  • Students who want to learn how to take Pose Estimation further with OpenPose
  • Students who are curious to learn practical approach to Pose Estimation
  • This course is for students with Python, OpenCV or AI experience who want to learn how to do Pose Estimation.