By Saurabh Kapur
- Learn how you can construct a full-fledged photograph processing software utilizing loose instruments and libraries
- Perform simple to complicated photograph and video circulate processing with OpenCV's Python APIs
- Understand and optimize numerous positive aspects of OpenCV with assistance from easy-to-grasp examples
This publication is an intensive consultant for builders who are looking to start with construction laptop imaginative and prescient functions utilizing Python three. The ebook is split into 5 sections: the basics of photo Processing, utilized desktop imaginative and prescient, Making purposes Smarter,Extending your services utilizing OpenCV, and Getting arms on. all through this e-book, 3 picture processing libraries Pillow, Scikit-Image, and OpenCV might be used to enforce various desktop imaginative and prescient algorithms.
The booklet goals to equip readers to construct desktop imaginative and prescient functions which are in a position to operating in real-world eventualities successfully. a few of the functions that we'll examine within the e-book are Optical personality popularity, item monitoring and development a working laptop or computer imaginative and prescient as a provider platform that works over the internet.
What you are going to learn
- Working with open resource libraries such Pillow, Scikit-image, and OpenCV
- Writing courses comparable to area detection, colour processing, photograph function extraction, and more
- Implementing function detection algorithms like LBP and ORB
- Tracking items utilizing an exterior digicam or a video file
- Optical personality attractiveness utilizing laptop Learning.
- Understanding Convolutional Neural Networks to profit styles in images
- Leveraging Cloud Infrastructure to supply laptop imaginative and prescient as a Service
About the Author
Saurabh Kapur is a working laptop or computer technological know-how pupil at Indraprastha Institute of data expertise, Delhi.
His pursuits are in desktop imaginative and prescient, numerical research, and set of rules layout. He frequently spends time fixing aggressive programming questions. Saurabh additionally enjoys engaged on IoT purposes and tinkering with hardware.
He loves to spend his unfastened time enjoying or gazing cricket. He may be reached at firstname.lastname@example.org.
Table of Contents
- Introduction to snapshot Processing
- Filters and Features
- Drilling Deeper into positive aspects- detecting objects
- Segmentation – realizing photographs Better
- Integrating desktop studying with machine Vision
- Image class 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