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Autor(en): 
  • Mugesh S.
  • Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  August 2023  
    Genre:  Ratgeber 
    ISBN:  9789388590877 
    EAN-Code: 
    9789388590877 
    Verlag:  Orange Education Pvt Ltd 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 191 mm / D 19 mm 
    Gewicht:  633 gr 
    Seiten:  338 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    DESCRIPTION This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It's an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. ¿TABLE OF CONTENTS Chapter 1: Getting Started With OpenCV Chapter 2: Basic Image & Video Analytics in OpenCV Chapter 3: Image Processing 1 using OpenCV Chapter 4: Image Processing 2 using OpenCV Chapter 5: Thresholding and Contour Techniques Using OpenCV Chapter 6: Detect Corners and Road Lane using OpenCV Chapter 7: Object And Motion Detection Using Opencv Chapter 8: Image Segmentation and Detecting Faces Using OpenCV Chapter 9: Introduction to Deep Learning with OpenCV Chapter 10: Advance Deep Learning Projects with OpenCV Chapter 11: Deployment of OpenCV projects By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python.

      



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