Python 3.x for Computer Vision [Video]

Python 3.x for Computer Vision [Video]

Saurabh Kapur

Unleash the power of computer vision with Python to carry out image processing and computer vision techniques
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Video Details

ISBN 139781788838207
Course Length1 hour and 29 minutes

Video Description

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.

Style and Approach

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

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Video Details

ISBN 139781788838207
Course Length1 hour and 29 minutes
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