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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 18 lectures (3h 2m) | Size: 1.28 GB
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 videos
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
Homepage
Code:
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