https://www.packtpub.com/application-development/python-3x-computer-vision-video-0
Python 3.x for Computer Vision [Video]
Saurabh Kapur
September 2017
Unleash the power of computer vision with Python to carry out image processing and computer vision techniques.
This video course is a practical guide for developers who want to get started with building computer vision applications using Python 3. The video is divided into six sections:
The Fundamentals of Image Processing
Applied Computer Vision
Object detection
Making Applications Smarter
Extending your Capabilities using OpenCV
Getting Hands on
Throughout this video course, three image processing libraries: Pillow, Scikit-Image, and OpenCV are used to implement different computer vision algorithms.
The course will help you build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we look at in the course are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.
Each stage of the course elaborates on various concepts and algorithms in image processing/computer vision using Python. This step-by-step practical guide can be used both as a tutorial and as a reference.
What You Will Learn
Work with open source libraries such Pillow, Scikit-image, and OpenCV
Write programs such as edge detection, color processing, image feature extraction, and more
Implement feature detection algorithms such as LBP and ORB
Understand Convolutional Neural Networks to learn patterns in images
