Configuration
Collapse menu
Fixed sidebar
Top navbar
Top navbar v.2
*Primary layout
Boxed layout
Fixed footer
Skins
Computer Vision Projects with OpenCV and Python 3

AUTHOR: Matthew Rever

PUBLISHER: Packt

PAGES: 182

ISBN-10: 178995455X; ISBN-13: 978-1789954555

Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos

Key Features
* Implement image classification and object detection using machine learning and deep learning
* Perform image classification, object detection, image segmentation, and other Computer Vision tasks
* Crisp content with a practical approach to solving real-world problems in Computer Vision

Book Description
Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems.

With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google's Tesseract software, and tracking human body poses using DeeperCut within TensorFlow.

By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries.

What you will learn
* Install and run major Computer Vision packages within Python
* Apply powerful support vector machines for simple digit classification
* Understand deep learning with TensorFlow
* Build a deep learning classifier for general images
* Use LSTMs for automated image captioning
* Read text from real-world images
* Extract human pose data from images

Who this book is for
Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.

Book Category

Android Developer / Asp.Net / Asp.Net MVC / Blockchain / C# / C++ / Computer Science / Database / Game Developer / Java / JavaScript / jQuery / Linux / Maven / MS Sql / MySQL / Networking / Oracle / PHP / Python / Spring / VB.Net / Visual Studio / Web Developer

LATEST BLOG POST

HRIS: Payroll Process

The payroll process involves calculating and disbursing employee salaries, wages, and benefits on a regular basis. Stay updated with employment laws, tax regulations, and other relevant compliance requirements to ensure accurate payroll processing and avoid penalties or legal issues.

HRIS: Timekeeping Process

Implementing an effective timekeeping process helps ensure accurate payroll calculations, compliance with labor laws, and fair compensation for employees' work hours. It also provides valuable data for analyzing workforce productivity and resource allocation.

HRIS: Recruitment and Training

Recruitment and training should be ongoing processes to attract and retain top talent and ensure the team is equipped with the necessary skills and knowledge to meet organizational goals.

HRIS: Human Resources

Human resources (HR) is a crucial department within an organization that focuses on managing and developing the people who work for the company. The HR department is responsible for various functions related to employee recruitment, hiring, training, performance management, benefits administration, and employee relations.

Understanding the Basics of Payroll Processing

Payroll processing is the administrative task of calculating and distributing employee salaries and benefits. It involves several steps, including collecting and verifying employee time and attendance data, calculating wages and deductions, and generating paychecks or direct deposits.

DTR Timekeeping Tips: Do's and Don'ts

Employers must keep accurate records of non-exempt employees work hours to comply state and local laws. This straightforward process can become complex when employees start work early or leave late, travel for business, participate in company trainings, and use mobile devices to remain connected to work after-hours.

Employee Timekeeping: Tool to Improve Efficiency and Accuracy

Overall, implementing a reliable timekeeping tool can significantly improve efficiency and accuracy in employee time tracking. It streamlines processes, reduces errors, ensures compliance, and provides valuable data for decision-making.

Automate Loans Deduction using Payroll Setup

By following these steps, you can automate loan deductions using payroll setup, saving time and ensuring accuracy in loan repayments for your employees.

Transforming HR into Digital Through Technology

By embracing technology and digitizing HR processes, organizations can streamline operations, improve employee experience, and enable HR professionals to focus on strategic initiatives that drive business success.

Timekeeping and Attendance Setup

Specific setup and configuration of your timekeeping and attendance system will depend on the unique needs and requirements of your organization. It's important to adapt these steps to fit your specific circumstances and consult with HR professionals or software providers for guidance.

Free Online Tools

Related Programming Books

Disclaimer

Programming books display here are property of respective owners. All information about the book published in this website is in good faith and for general information purpose only.

Please support author by buying hardcopy to the nearest book store in your place or order books in publisher websites.