By Saurabh Kapur
- Learn the best way to construct a full-fledged photograph processing program utilizing unfastened instruments and libraries
- Perform easy to complicated picture and video circulate processing with OpenCV's Python APIs
- Understand and optimize quite a few positive factors of OpenCV with the aid of easy-to-grasp examples
This e-book is a radical advisor for builders who are looking to start with development desktop imaginative and prescient purposes utilizing Python three. The booklet is split into 5 sections: the basics of snapshot Processing, utilized desktop imaginative and prescient, Making purposes Smarter,Extending your features utilizing OpenCV, and Getting palms on. all through this publication, 3 snapshot processing libraries Pillow, Scikit-Image, and OpenCV might be used to enforce varied computing device imaginative and prescient algorithms.
The booklet goals to equip readers to construct laptop imaginative and prescient functions which are able to operating in real-world situations successfully. a few of the purposes that we are going to examine within the ebook are Optical personality reputation, item monitoring and construction a working laptop or computer imaginative and prescient as a carrier platform that works over the internet.
What you'll learn
- Working with open resource libraries such Pillow, Scikit-image, and OpenCV
- Writing courses comparable to facet detection, colour processing, photograph characteristic extraction, and more
- Implementing characteristic detection algorithms like LBP and ORB
- Tracking gadgets utilizing an exterior digital camera or a video file
- Optical personality acceptance utilizing laptop Learning.
- Understanding Convolutional Neural Networks to profit styles in images
- Leveraging Cloud Infrastructure to supply computing device imaginative and prescient as a Service
About the Author
Saurabh Kapur is a working laptop or computer technology pupil at Indraprastha Institute of knowledge expertise, Delhi.
His pursuits are in laptop imaginative and prescient, numerical research, and set of rules layout. He usually spends time fixing aggressive programming questions. Saurabh additionally enjoys engaged on IoT purposes and tinkering with hardware.
He loves to spend his loose time enjoying or looking at cricket. He will be reached at email@example.com.
Table of Contents
- Introduction to picture Processing
- Filters and Features
- Drilling Deeper into positive factors- detecting objects
- Segmentation – figuring out photographs Better
- Integrating laptop studying with laptop Vision
- Image category utilizing Neural Networks
- Introduction to laptop imaginative and prescient utilizing OpenCV
- Object Detection utilizing OpenCV
- Video Processing utilizing open CV
- Computer imaginative and prescient as a Service
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Computer Vision with Python 3 by Saurabh Kapur