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

More Information
  • Getting started with OpenCV
  • Showing how to attempt your first OpenCV code
  • See the architecture of a convolutional neural network
  • Learn how to enhance and filter an Image
  • Practice use of popular CV algorithms
  • Get started with Caffe
  • Train your the network using labeled data
  • know how to train the network using labeled data
  • See how to Model an appropriate algorithm for your requirement
  • Quickly move from algorithm to code

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.

  • See functionalities in OpenCV that can be used for Object detection and recognition through Deep Learning
  • Learn, why Deep Learning algorithms should be preferred for object recognition 
  • Master use of OpenCV by practicing creation of basic applications
Course Length 2 hours 13 minutes
ISBN 9781788474368
Date Of Publication 8 Apr 2018


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