The Complete Course of OpenCV: Step-by-Step Instructions
What you’ll learn
Starting with an overview of what the course will be covering We move on to discussing morphological operations and practically learn how they work on images We will then learn contrast enhancement using equalization and contrast limiting We will learn 3 methods to subtract the background from the video and implement them using OpenCV
Requirements
The course offers you a unique approach of learning how to code by solving real world problems Prior programming experience is a requirement for this course We will be using the Python programming language inside the crash course. If you don’t have any Python experience, don’t worry! The language is super easy to pick up and learn Who this course is for: Computer vision and machine learning Detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras Stitch images together to produce a high resolution image of an entire scene Find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc
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