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Fluent OpenCV-Python GUI with SQL Server: Building Responsive, Powerful Cross-platform, and Database-Driven Applications with PyQt

Fluent OpenCV-Python GUI with SQL Server: Building Responsive, Powerful Cross-platform, and Database-Driven Applications with PyQt

Vivian Siahaan
0/5 ( ratings)
This book is SQL Server version of our previous works. This book consists of a series of step-by-step tutorials for creating mini projects in integrating pyqt, python, opencv, and SQL Server database. By studying this book, you will understand how to program python GUIs involving opencv and databases in applications. This book is suitable for beginners, students, engineers, and even researchers in a variety of disciplines. No advanced programming experience is needed, and only a few school-level programming skills are needed. In the first chapter, you will learn to use several widgets in Display a welcome message; Use the Radio Button widget; Grouping radio buttons; Displays options in the form of a check box; and Display two groups of check boxes. In chapter two, you will learn to use the following Using Signal / Slot Editor; Copy and place text from one Line Edit widget to another; Convert data types and make a simple calculator; Use the Spin Box widget; Use scrollbars and sliders; Using the Widget List; Select a number of list items from one Widget List and display them on another Widget List widget; Add items to the Widget List; Perform operations on the Widget List; Use the Combo Box widget; Displays data selected by the user from the Calendar Widget; Creating a hotel reservation application; and Display tabular data using Table Widgets. In chapter three, you will create dan configure database. In this chapter, you will create Suspect table in crime database. This table has eleven suspect_id , suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter four, you will create a table with the name Feature_Extraction, which has eight feature_id , suspect_id , feature1, feature2, feature3, feature4, feature5, and feature6. The six fields will have VARBINARY data type. You will also create GUI to display, edit, insert, and delete for this table. In chapter five, you will create two tables, Police and Investigator. The Police table has six police_id , province, city, address, telephone, and photo. The Investigator table has eight investigator_id , investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In chapter six, you will create two tables, Victim and Case_File. The Victim table has nine victim_id , victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven case_file_id , suspect_id , police_id , investigator_id , victim_id , status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Language
English
Pages
510
Format
Kindle Edition
Release
September 20, 2019

Fluent OpenCV-Python GUI with SQL Server: Building Responsive, Powerful Cross-platform, and Database-Driven Applications with PyQt

Vivian Siahaan
0/5 ( ratings)
This book is SQL Server version of our previous works. This book consists of a series of step-by-step tutorials for creating mini projects in integrating pyqt, python, opencv, and SQL Server database. By studying this book, you will understand how to program python GUIs involving opencv and databases in applications. This book is suitable for beginners, students, engineers, and even researchers in a variety of disciplines. No advanced programming experience is needed, and only a few school-level programming skills are needed. In the first chapter, you will learn to use several widgets in Display a welcome message; Use the Radio Button widget; Grouping radio buttons; Displays options in the form of a check box; and Display two groups of check boxes. In chapter two, you will learn to use the following Using Signal / Slot Editor; Copy and place text from one Line Edit widget to another; Convert data types and make a simple calculator; Use the Spin Box widget; Use scrollbars and sliders; Using the Widget List; Select a number of list items from one Widget List and display them on another Widget List widget; Add items to the Widget List; Perform operations on the Widget List; Use the Combo Box widget; Displays data selected by the user from the Calendar Widget; Creating a hotel reservation application; and Display tabular data using Table Widgets. In chapter three, you will create dan configure database. In this chapter, you will create Suspect table in crime database. This table has eleven suspect_id , suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter four, you will create a table with the name Feature_Extraction, which has eight feature_id , suspect_id , feature1, feature2, feature3, feature4, feature5, and feature6. The six fields will have VARBINARY data type. You will also create GUI to display, edit, insert, and delete for this table. In chapter five, you will create two tables, Police and Investigator. The Police table has six police_id , province, city, address, telephone, and photo. The Investigator table has eight investigator_id , investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In chapter six, you will create two tables, Victim and Case_File. The Victim table has nine victim_id , victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven case_file_id , suspect_id , police_id , investigator_id , victim_id , status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Language
English
Pages
510
Format
Kindle Edition
Release
September 20, 2019

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