https://www.udemy.com/course/computer-vision-with-opencv-and-python

Learn via hands-on projects the basics of computer vision and image processing

What you'll learn: 

The basic concepts of computer vision and image processing

The basic functions of OpenCV such as loading, resizing, thresholding, blurring, and many more

Build a document scanner project

Build a bubble sheet multiple choice test project

Build a barcode and QR code scanner project

Build a face detection and blurring project

Build an object detection project

Requirements:

To take this course, you need basic familiarity with Python. No prior knowledge of OpenCV is required.

Description:

Computer Vision with OpenCV and Python is an overarching tutorial for beginners and intermediate Python programmers that teaches the basics of computer vision using Python and OpenCV.

You will learn the basic concepts of computer vision and image processing by following a hands-on approach. You will then use these concepts to build real-world projects such as face detection, object detection, barcode and QR scanner, and more.

If you are interested in computer vision and image processing but don't know where to start, this course is for you.

By the end of this course, you'll be comfortable with the OpenCV library and will be able to successfully apply image processing techniques to your projects.

We will be using the Python programming language since it is one of the most widely used and easiest languages to learn.

What you'll get:

When you buy the course you'll receive:

3+ hours of HD video tutorials

Text version of the course divided into 16 parts (coming soon)

Source code, example images, and videos used in the course

Lifetime access to the course

Priority support

What is covered in this course:

Just so that you have some idea of what you will learn in these tutorials, these are the topics that we will cover:

Read and write images and videos

Crop and resize images

Translate and rotate images

Image annotation, including drawing lines, circles, rectangles, text, etc

Bitwise operations and image masking

Barcode and QR code scanner in images and videos

Image filtering and blurring

Image thresholding

Morphological operations: Erosion/Dilation and Opening/Closing

Edge and contour detection

Document scanner

Bubble sheet multiple-choice test

Face detection (using Haar cascade) and blurring in images and videos

Object detection with deep learning in Images and videosWho this course is for:Python programmers who want a hands-on introduction to computer vision with OpenCVAnyone familiar with OpenCV who needs a refresher course to fill in the gapsPython developers who want to get started with computer vision and OpenCVStudents who want to better understand OpenCV

Who this course is for:

Python programmers who want a hands-on introduction to computer vision with OpenCV

Anyone familiar with OpenCV who needs a refresher course to fill in the gaps

Python developers who want to get started with computer vision and OpenCV

Students who want to better understand OpenCV