If you're interested in becoming a true guru in computer vision, then the Master Computer Vision with Deep learning, OpenCV4 & Python course is the ultimate guide you've been looking for.
Course Description
This course starts from the very beginning, covering the basics of image formation and characteristics. From there, it dives into basic image processing, including reading and writing image and video files, and image manipulation.
One of the most important parts of computer vision is building interactive applications, and this course covers that extensively. You will learn about trackbars and mouse events, which are essential when building interactive CV applications.
After building up your foundational knowledge, you'll move onto more advanced computer vision topics. These include segmentation, filtering, and features, as well as object detection, tracking, and recognition. Along the way, you'll be coding alongside each theory session to cement your knowledge and skills.
And lest you think that's the extent of the course, think again. You'll also develop a complete end-to-end visual authorization system, which you can use to secure access to your computer. This project alone is an excellent way to reinforce your knowledge and skills gained throughout the course.
Learning Outcomes
- Read/write image and video files, perform image manipulation
- Build interactive CV applications with trackbars and mouse events
- Learn key CV techniques, including transformation, filtering, segmentation, and features
- Understand, train, and deploy advanced topics like object detection, tracking, and recognition
But that's not all. You'll also test your knowledge with programming assignments, and develop three separate projects throughout the course:
- PeopleTrackr: a crowd monitoring system
- EasyAttend: a live attendance system for classrooms and offices
- Secure Access: the aforementioned end-to-end visual authorization system for your computer
The course is structured as follows:
- Computer Vision Fundamentals
- Image Processing Basics (Coding)
- CV-101 (Theory + Coding)
- Advanced [Detection] (Theory + Coding)
- Advanced [Tracking] (Theory + Coding)
- Project: PeopleTrackr (Crowd Monitoring System)
- Advanced [Recognition] (Theory + Coding)
- Project: EasyAttend (Live Attendance System)
- Project: Secure Access (End-to-end project development & deployment)
- Farewell
As you can see, it's a packed course that will give you a comprehensive understanding of computer vision and the tools to implement your own applications and systems.
Algorithms
To get a deeper sense of what you'll be learning in the course, here are a few of the key algorithms covered:
- LBP (Fast-Less accurate) and Dlib-Implementation (Slow-Accurate): Facial recognition algorithms.
- CSRT and KCF: single object tracking algorithms.
- DeepSort (Slow-Accurate): multiple object tracking algorithm.
- Haar Cascades (Fast-Less accurate) and YoloV3 (Slow-Accurate): object detection algorithms.
- Sift and Orb Feature Matching: Computer vision techniques.
- Canny Edge detection, Binary/Otsu/Adaptive Thresholding, Kmeans Segmentation, and Convex hull Approximation: additional computer vision techniques.
As you can see, these algorithms are key tools in the computer vision field, and this course covers them all.
Prerequisites
You'll need to have OpenCV4 and Python installed to complete this course, as they're the primary tools used throughout. You don't need any advanced knowledge of Python specifically, but it's essential to have a basic understanding of programming.
Most importantly, you need to have a motivated mindset. With a keen interest in computer vision, you'll be able to absorb all the knowledge imparted in this comprehensive course.
Course Reviews
At the time of writing, there are no reviews for the Master Computer Vision with Deep learning, OpenCV4 & Python course. As a course review content writer with over 20 years of experience, I can confidently say that the course description and learning outcomes are comprehensive and intriguing.
While it's natural to want to see what other students have thought of the course before enrolling, don't let a lack of reviews scare you away. This course covers all the basics and more, and the skills you'll gain will be invaluable if you're interested in this area of computer science.
Why Choose This Course
There are many online courses available about computer vision, but few cover such a broad range of topics as this one. With extensive coverage of both foundational and advanced topics, you'll leave the course with a complete understanding of computer vision and the tools to build your own applications and systems.
This course is also highly practical, with plenty of coding exercises throughout and projects to put your newfound skills to the test. You'll graduate from this course with the confidence to create your own cutting-edge computer vision projects.
Is This Course Right For You?
If you're interested in computer vision and want to gain a comprehensive understanding of the field, then this course is for you. It's suitable for students who are new to the field as well as those who have some experience and want to take their skills to the next level.
Enroll today and take the first step towards becoming a computer vision guru.
