Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR

Fun in detail with OpenCV

Gary Bradski (Arraiy.com), Anna Petrovicheva (Xperience.ai), Satya Mallick (LearnOpenCV.com)
1:30pm5:00pm Tuesday, July 17, 2018
Artificial intelligence
Location: E145/146
Level: Intermediate
Average rating: ****.
(4.00, 2 ratings)

Who is this presentation for?

  • Managers who want an update on open source vision tools, programmers, and those interested in AI and computer vision

Prerequisite knowledge

  • A working knowledge of Python, C++, or JavaScript

Materials or downloads needed in advance

  • A laptop with Python or C++ installed
  • Course materials downloaded from the course GitHub repository.

What you'll learn

  • Explore OpenCV
  • Learn how to use computer vision and AI routines
  • Gain a unique perspective on the future direction of AI


OpenCV (the Open Source Computer Vision Library) version 4.0 is being released this summer. Gary Bradski, Anna Petrovicheva, and Satya Mallick offer an overview of OpenCV and explain where it is going. Along the way, you’ll learn how to program some fun things that can be used for art, robotics, drones, film, and photography.

Topics include:

  • The new OpenCV 4.0 release
  • The new OpenCV foundation and audience poll for new features and foundation services
  • The nature of vision and AI and where things are going
  • How to get going with OpenCV in C++, Python, Java, and JavaScript
  • Running deep neural networks in OpenCV
  • Face detection and Face Recognition
  • Data augmentation using OpenCV
  • Image Alignment
  • Creating Panoramas
  • Object tracking
  • Computational photography
Photo of Gary Bradski

Gary Bradski


Gary Bradski is an entrepreneur, engineer, and researcher in computer vision and artificial intelligence. Gary is the founder and CEO of OpenCV, the most popular computer vision library in the world, and CTO and cofounder of Arriay, a company whose tech helped film Street Living by will.i.am and The Human Race, which won Siggraph’s Best Real-Time Graphics and Interactivity award. Previously, he organized the computer vision team for Stanley, the autonomous car that won the $2M DARPA Grand Challenge, which in turn kicked off the autonomous driving industry. Stanley now resides in the Smithsonian Air and Space Museum in Washington, DC. Gary served as a visiting professor in Stanford University’s Computer Science Department for seven years, where he cofounded the Stanford AI Robot (STAIR) Project—the forerunner of the robot operating system (ROS) and PR2 robot developed at Willow Garage, where he also served as senior scientist and manager. Gary helped develop one of the first video search startups, VideoSurf, (acquired by Microsoft), founded Industrial Perception Inc. (acquired by Google), and created the Silicon Valley office of Magic Leap. He also served as an EIR at IDC Capital Group. Gary has a long list of patents, has written numerous publications and two textbooks, and sits on the boards and advisory boards of several Silicon Valley Companies.

Photo of Anna Petrovicheva

Anna Petrovicheva


Anna Petrovicheva is founder and CEO of Xperience.ai, a company delivering deep learning and computer vision solutions. Previously, she developed data analytics software at Intel and worked at international computer vision software company Itseez (acquired by Intel). Anna holds a master’s degree in computer science from the State University of Nizhni Novgorod, Russia.

Photo of Satya Mallick

Satya Mallick


Satya Mallick is an entrepreneur working in artificial intelligence, computer vision, and machine learning. Satya consults with his company, Big Vision LLC, and is the principal author of LearnOpenCV.com, a popular blog for OpenCV and AI enthusiasts. Previously, he cofounded Sight Commerce Inc., where he built AI products that reached over 100M users. His work has been covered in online publications including Time, the BBC, TechCrunch, HuffPost, the New York Times, and the Wall Street Journal, to name a few. In 2017, he was named among the top 30 AI experts to follow on Twitter by IBM’s AI blog.