Learn via hands-on projects the basics of computer vision and image processing
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.
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.
Course Content
- Lectures –> 18 lectures • 3hr 3min.
Requirements
- To take this course, you need basic familiarity with Python. No prior knowledge of OpenCV is required..
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 videos