Course Description

Learn to build real time pose detection iPhone app using Posenetdeep learning algorithm. Deep learningis popular where a machine can be trained to detect poses in video and images. Once trained, it can be used to detect poses in any video or image. The app does not require any wifi or cellular connectivity. It uses deep learning and pretrained posenet model. It leverages apple's coreml and vision SDK to achieve pose detection entirely on the phone. Since the app does not send your images or vides to remote service, it maintains your privacy and data secured.

Build a strong foundation in pose detection engines with this tutorial for beginners.

• Understanding fundamentals of pose detection

• Understanding fundamentals of deep learning and CNN

• Benefits of posenetfor fitness apps

• Build a real life pose detection in videousing posenet, computer vision, coreml and swift

• Build a real life pose detection in image using posenet, computer vision,, coreml and swift

  
  

• A Powerful Skill at Your FingertipsLearning the fundamentals of real time pose detection puts a powerful and very useful tool at your fingertips. swift, posenetand coreml are free, easy to learn, has excellent documentation.

No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like CNN from scratch.

Jobs in computer vision area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is state of art technology that can quickly help you achieve your goal.

Learning pose detection with posenetwill help you become a computer vision developer which is in high demand.

Content and Overview

This course teaches you on how to build real time pose detection engine using open source posenet, coreml and swift . You will work along with me step by step to build following answers

• Real time pose detection in Video

• Real time pose detection in image

• Fundamentals of CNN and posenet

What am I going to get from this course?

• Learn posenent and build real time pose detection engine from professional trainer from your own desk.

• Over 15lecturesteaching you how to build real time pose detection engine

• Suitable for intermediate programmers and ideal for users who learn faster when shown.

• Visual training method, offering users increased retention and accelerated learning.

• Breaks even the most complex applications down into simplistic steps.

• Offers challenges to studentsto enable reinforcement of concepts. Also solutions are described to validate the challenges.