My list of best online courses to learn Computer Vision with Python from Udemy, Coursera, Pluralsight, and other online portals. You will regret it if you miss it.
My list of best online courses to learn Computer Vision with Python from Udemy, Coursera, Pluralsight, and other online portals.
Hello folks, If you want to learn Computer Vision and OpenCV from scratch and looking for the best computer vision online courses from Udemy, Coursera, and Pluralsight then you have come to the right place.
Earlier, I have shared the best online courses to learn Python, Data Science, and Machine Learning from Coursera and Udemy, and in this article, I am going to share the best online training courses to learn both Computer Vision and OpenCV.
The list includes courses for both beginners and experienced programmer who wants to learn the advanced concept of Computer Vision and Open CV.
If you don’t know, Computer vision simply is the science or field of making the machine see and detect, track, classify, analyze objects, or any tasks that are related to process images and videos. And, OpenCV is a popular Python library that allows you to do things like image filtering and much more.
Learning computer vision allows you to master one of the master fields that on-demand today and lets you create amazing projects in different areas such as self-driving cars, disease diagnoses like cancers, create intelligent weapon guidance systems that become widely used in militaries today, and much more.
In this article, you will learn many online courses that allow you to master computer vision and some of them will show you how to implement deep learning with computer vision to be more accurate, and the good thing about these courses is that each one has its unique programming language that is used to perform these tasks of processing images and videos.
Learn Vision Includes all OpenCV Image Processing Features with Simple Examples. Face Detection, Face Recognition. What you'll learn: Use OpenCV to work with image files; Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations; Create Face Detection Software; Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python; Use Python and Deep Learning to build image classifiers; Use Python and OpenCV to draw shapes on images and videos; Create Color Histograms with OpenCV; Study from MIT notes and get Interview questions; Crack image processing limits by developing Applications.
This article will simply explain the concept which will help you understand the difference between Machine Learning and Deep Learning.
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Python OpenCV Tutorial - Learn Computer Vision with OpenCV and Python: Introduction to OpenCV and Image Processing in Python, Image processing basics, Object detection and tracking, Deep Learning, Facial landmarks and many special applications.