Computer vision is a cutting-edge technology that is widely deployed in the automotive and manufacturing industry in robots and cars. It is also a core application of Machine Learning. OpenCV is quite possibly the most ubiquitous library when it comes to computer vision being used in almost every application. It is available in many programming languages and operating systems. In this workshop, you will learn how to set up OpenCV with the PyCharm IDE. Then we will walk through the basic concepts of OpenCV and computer vision followed by working examples building up to a face tracker!

About this session:

What we are going to cover?

• Installation of OpenCV using the PyCharm IDE
• Basic OpenCV data structures and concepts
• Basic Algorithms and operations available in OpenCV
• Build a face tracker!

Pre-Workshop Prep:

1. Install the latest version of Python
• The latest version of Python (3.10.8) should be installed on your computer. Please download it and install it from the following link: Download Python | Python.org
2. Install PyCharm Community Edition
• We will be using the PyCharm IDE in the workshop. You are free to use any IDE that you are comfortable using as long as the virtual environment is configured with the right libraries. If you are not sure how to do this, we highly recommend using PyCharm. PyCharm Community Edition may be downloaded from the following link: PyCharm: the Python IDE for Professional Developers by JetBrains.
  
3. Install Anaconda
• The latest version of Python combined with OpenCV has been raising a lot of installation issues for the team. To minimize the number of installation issues, we recommend installing Anaconda from here: Anaconda | Anaconda Distribution.

How to RSVP and Attend:

RSVP through the event page as usual. The event will be hosted virtually on Zoom! Click on your event ticket 15 minutes or less before the event starts to get access to the link.

Workshop Resources:

GitHub Repo: https://github.com/mob9221/opencv-gdsc-workshop