This is the code repository for OpenCV 4 for Secret Agents [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
OpenCV is a grand collection of image processing functions and computer vision algorithms. Not only is it open source, it also supports many programming platforms and is fast enough for many real-time applications.
This course is designed in an unconventional way to help you get started with OpenCV 4 in an easy and creative manner. Taking inspiration from the world of spies, this video course will add a spark of adventure and computer vision to your daily routine.
You'll embark on this course tasked with finding out how many gadgets you can integrate and, with this handy library, you'll build cool exciting out-of-the-box projects!
By the end of this course, you will be confident enough as a Secret Agent to develop computer vision applications never seen before in the real world, taking your lead from James Bond and the Mission Impossible franchise.
- This course will teach you how to get moving in Python, making sure you have the breadth and depth of knowledge that will allow you to begin learning, or working, on your own.
- How to create Graphical User Interfaces for desktop applications or cell phone apps so you can create vivid user experiences.
- How to use create HTTP-based microservices so that you can build efficient and flexible server architectures.
- How to use type annotations and unit tests to catch bugs early and easily, so that your software is reliable.
- How to package your software so that it is easily distributed and shared with others.
This course is designed for hobbyists who are interested in building some really cool out-of-the-box, real-world computer vision and deep learning applications. This course assumes that the viewer has a working knowledge of Python.
This course has the following software requirements:
- OS: Windows/Linux/macOS/Raspbian(if using raspberry pi)
- Processor: Any modern processor(Intel Core i3 or equivalent)
- Memory: 8 GB
- Storage: 100GB
- Operating system: Windows/Linux/macOS/Raspbian(if using Raspberry Pi)
- Anaconda, OpenCV 4
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