Home Application-development Object Detection and Recognition Using Deep Learning in OpenCV [Video]

Object Detection and Recognition Using Deep Learning in OpenCV [Video]

By Param Uttarwar
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What do you get with a Packt Subscription?
This book & 6500+ ebooks & video courses on 1000+ technologies
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50+ new titles added every month on new and emerging tech
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
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Mobile App with offline access
What do you get with eBook?
Download this book in EPUB and PDF formats
Access this title in our online reader
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What do you get with video?
Download this video in MP4 format
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What do you get with video?
Stream this video
Access this title in our online reader
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What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
What do you get with Exam Trainer?
Flashcards, Mock exams, Exam Tips, Practice Questions
Access these resources with our interactive certification platform
Mobile compatible-Practice whenever, wherever, however you want
About this video

This course teaches effective object recognition and its implementation with the powerful OpenCV libraries. You will learn how to enhance your OpenCV skills with deep learning. You will explore and master OpenCV for Object Recognition/Classification. The course explains all the necessary theory and concepts of computer vision, image processing, and machine learning. You also learn the practical application of OpenCV libraries. Its capabilities and functionality are shown along with a tutorial on how to set up a machine such that it’s able to use OpenCV in codes. You will start by seeing how to work with images in OpenCV, enhancement and filtering in OpenCV. You will then move on to building an application which is capable of object recognition and performing homography. You will then move on to object classification and recognizing text in an image.

In the end, you will be able to use object recognition algorithm which will be used by you for practical application.

Style and Approach

This course will help you practice deep learning principles and algorithms for detecting and decoding images using OpenCV, by following step by step easy to understand instructions.

Publication date:
April 2018
Publisher
Packt
Duration
2 hours 13 minutes
ISBN
9781788474368

About the Author
  • Param Uttarwar

    Param Uttarwar, has extensively worked in OpenCV and he has been in touch with OpenCV, ML and AI field. Previously, he worked on a similar kind of project where he developed a software that aided users in learning image processing. It used OpenCV and Qt Libraries at its core and was deployed on hardware. The author has worked out image processing algorithms on SBCs & FPGAs. The author has also taught these topics himself, so he is well acquainted with the practical problems faced during learning which are not written in books. He feels that he is the best suited for authoring this course

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Muito boa compra que fiz.
Object Detection and Recognition Using Deep Learning in OpenCV [Video]
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