Cross-Platform Application Development with OpenCV 4 and Qt5

Cross-Platform Application Development with OpenCV 4 and Qt5, available at $49.99, has an average rating of 4.4, with 35 lectures, based on 30 reviews, and has 266 subscribers.

You will learn about Build cross-platform applications with Qt. Create UIs using Qt and integrate OpenCV with Qt. Use OpenCV to filter and process images and detect colors and objects. Develop desktop and Android applications with Qt Quick. Call Android native method with Qt and C++. Debug and unit-test your C++ and QML code. This course is ideal for individuals who are This course is intended for C++ developers who want to dive into the world of OpenCV and Qt to build fast, interactive, cross-platform applications. It is particularly useful for This course is intended for C++ developers who want to dive into the world of OpenCV and Qt to build fast, interactive, cross-platform applications.

Enroll now: Cross-Platform Application Development with OpenCV 4 and Qt5

Summary

Title: Cross-Platform Application Development with OpenCV 4 and Qt5

Price: $49.99

Average Rating: 4.4

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Build cross-platform applications with Qt.
Create UIs using Qt and integrate OpenCV with Qt.
Use OpenCV to filter and process images and detect colors and objects.
Develop desktop and Android applications with Qt Quick.
Call Android native method with Qt and C++.
Debug and unit-test your C++ and QML code.

Who Should Attend

This course is intended for C++ developers who want to dive into the world of OpenCV and Qt to build fast, interactive, cross-platform applications.

Target Audiences

This course is intended for C++ developers who want to dive into the world of OpenCV and Qt to build fast, interactive, cross-platform applications.

OpenCV is the most popular library for building computer vision applications. Qt is a C++ IDE used to create GUI applications with ease. The main benefit of using Qt is that we can integrate OpenCV GUIs of GUIs created with Qt. Follow along with instructor Antonio Ortiz to build cross-platform applications using Qt.

In this course, you will learn to combine the power of OpenCV and Qt. First, you will start by grabbing some images and videos to show them in QML. Antonio also shows you how to calibrate an array of two stereo cameras. You will learn to deploy your application on both Linux and Android platforms.

By the end of this course, you will have become better at developing OpenCV applications, especially with Qt.

About the Author

Antonio Ortiz Lira is a Venezuelan Software Developer and Researcher. He obtained his Engineering Degree in 2010 in the Santa Maria University in Caracas and since then he has worked in Linux operating system development, Computer Vision, robotics, and mobile application programming. He’s now the president and lead researcher at Disinglab.

Course Curriculum

Chapter 1: Setting Up Your Development Environment

Lecture 1: The Course Overview

Lecture 2: Qt5 and Qt Creator Installation

Lecture 3: Qt Creator: Playing Around the IDE

Lecture 4: Configuring OpenCV

Chapter 2: Showing Images and Videos in QML

Lecture 1: Getting Started with QML

Lecture 2: Creating a GUI

Lecture 3: From Mat to QImage

Lecture 4: Showing an Image in QML

Lecture 5: Working with Threads in Qt

Lecture 6: Showing a Video in QML

Chapter 3: Image Processing

Lecture 1: Image Smoothing

Lecture 2: Eroding and Dilating

Lecture 3: Finding Contours in Your Image

Lecture 4: Extracting Horizontal and Vertical Lines

Lecture 5: Applying Laplacian Filter

Lecture 6: Detecting Edges with Canny Edge Detector

Chapter 4: Working with Videos

Lecture 1: Background Subtraction

Lecture 2: Detecting Colors

Lecture 3: Getting Live Video from a Camera

Lecture 4: Cascade Classifier

Lecture 5: YOLO Algorithm

Lecture 6: Showing Objects Detected with YOLO

Chapter 5: Getting Depth Information from Images

Lecture 1: Creating Threads for the Cameras

Lecture 2: 3D Calibration

Lecture 3: Saving the Results in Files

Lecture 4: Read the Calibration Data from a File

Lecture 5: Generate Depth Map from Two Cameras

Chapter 6: Working with Android

Lecture 1: Setting Up Qt Creator for Android

Lecture 2: Configuring a Android Virtual Device

Lecture 3: Open Files Using QAndroidJniObject to Call Android Native Methods

Lecture 4: Compile Applications for Android Devices

Chapter 7: Debugging and Testing

Lecture 1: Checking Qt Creator Debugging Configuration

Lecture 2: Debugging C++ Parts

Lecture 3: Debugging QML Parts of Your App

Lecture 4: Unit Testing

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 1 votes
2 stars: 3 votes
3 stars: 4 votes
4 stars: 9 votes
5 stars: 13 votes

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