Practical Computer Vision Extract insightful information from images using TensorFlow, Keras, and O

ISBN: 1788297687

Category: Uncategorized

Tag: Database/SQL


Posted on 2018-06-04, by nokia241186.

Description



Abhinav Dadhich, "Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV"
English | ISBN: 1788297687 | 2018 | EPUB | 234 pages | 88 MB



A practical guide designed to get you from basics to current state of art in computer vision systems.

Key Features
Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease
Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing, object detection, feature detection and more
With real-world datasets and fully functional code, this book is your one-stop guide to understanding Computer Vision

Book Description
In this book, you will find several recently proposed methods in various domains of computer vision. You will start by setting up the proper Python environment to work on practical applications. This includes setting up libraries such as OpenCV, TensorFlow, and Keras using Anaconda. Using these libraries, you'll start to understand the concepts of image transformation and filtering. You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects.

With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset. With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using TensorFlow. You'll get started with semantic segmentation using FCN models and track objects with Deep SORT. Not only this, you will also use Visual SLAM techniques such as ORB-SLAM on a standard dataset.

By the end of this book, you will have a firm understanding of the different computer vision techniques and how to apply them in your applications.

What you will learn
Learn the basics of image manipulation with OpenCV
Implement and visualize image filters such as smoothing, dilation, histogram equalization, and more
Set up various libraries and platforms, such as OpenCV, Keras, and Tensorflow, in order to start using computer vision, along with appropriate datasets for each chapter, such as MSCOCO, MOT, and Fashion-MNIST
Understand image transformation and downsampling with practical implementations.
Explore neural networks for computer vision and convolutional neural networks using Keras
Understand working on deep-learning-based object detection such as Faster-R-CNN, SSD, and more
Explore deep-learning-based object tracking in action
Understand Visual SLAM techniques such as ORB-SLAM

Who This Book Is For
This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.

Table of Contents
A fast introduction to Computer vision
Libraries, Development platform and Datasets
Image filtering and Transformations in OpenCV
Application of Feature Extraction Extraction technique
Introduction to Advanced Features
Feature based object detection
Object Tracking and Segmentation
3D Computer Vision
Appendix A
Appendix B
DOWNLOAD
(Buy premium account for maximum speed and resuming ability)







Sponsored High Speed Downloads
6364 dl's @ 3507 KB/s
Download Now [Full Version]
9072 dl's @ 2954 KB/s
Download Link 1 - Fast Download
6309 dl's @ 3949 KB/s
Download Mirror - Direct Download



Search More...
Practical Computer Vision Extract insightful information from images using TensorFlow, Keras, and O

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books

  1. Ebooks list page : 36331
  2. 2018-03-01Practical Computer Vision
  3. 2018-01-11[PDF] Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See
  4. 2014-05-10Mastering OpenCV with Practical Computer Vision Projects - Removed
  5. 2014-01-09Mastering OpenCV with Practical Computer Vision Projects (EPUB PDF)
  6. 2014-01-01Mastering OpenCV with Practical Computer Vision Projects - eazydoc.com
  7. 2013-12-23Mastering OpenCV with Practical Computer Vision Projects
  8. 2013-12-23Practical Computer Vision with SimpleCV
  9. 2013-12-02Mastering OpenCV with Practical Computer Vision Projects - eazydoc.com - Removed
  10. 2013-12-02Practical Computer Vision with SimpleCV - eazydoc.com
  11. 2013-07-16Practical Computer Vision with SimpleCV
  12. 2013-07-16Mastering OpenCV with Practical Computer Vision Projects
  13. 2013-01-22Mastering OpenCV with Practical Computer Vision Projects - Removed
  14. 2012-09-20Practical Computer Vision with SimpleCV - Removed
  15. 2012-09-12Practical Computer Vision with SimpleCV - Removed
  16. 2012-09-07Practical Computer Vision with SimpleCV - Removed
  17. 2012-08-23Practical Computer Vision with SimpleCV - Removed
  18. 2012-08-23Practical Computer Vision with SimpleCV
  19. 2012-08-19Practical Computer Vision with SimpleCV
  20. 2012-08-18Practical Computer Vision with SimpleCV

Comments

No comments for "Practical Computer Vision Extract insightful information from images using TensorFlow, Keras, and O".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.

    required

    required, will not be published

    need login

    required

    Not clear? Click here to refresh.

    Back to Top