HOME > Development > Python OpenCV Based GUI Application Development using PyQt5

Python OpenCV Based GUI Application Development using PyQt5

  • Development
  • May 06, 2025
SynopsisPython OpenCV Based GUI Application Development using PyQt5,...
Python OpenCV Based GUI Application Development using PyQt5  No.1

Python OpenCV Based GUI Application Development using PyQt5, available at $19.99, has an average rating of 4.6, with 14 lectures, based on 48 reviews, and has 199 subscribers.

You will learn about Will be able to create their stunning image processing GUI application Customized Application Development This course is ideal for individuals who are Beginner OpenCV developers who are interested to create awesome GUI application for their everyday use. or Any image processing based company employee or College, University Students It is particularly useful for Beginner OpenCV developers who are interested to create awesome GUI application for their everyday use. or Any image processing based company employee or College, University Students.

Enroll now: Python OpenCV Based GUI Application Development using PyQt5

Summary

Title: Python OpenCV Based GUI Application Development using PyQt5

Price: $19.99

Average Rating: 4.6

Number of Lectures: 14

Number of Published Lectures: 14

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 14

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

  • Will be able to create their stunning image processing GUI application
  • Customized Application Development
  • Who Should Attend

  • Beginner OpenCV developers who are interested to create awesome GUI application for their everyday use.
  • Any image processing based company employee
  • College, University Students
  • Target Audiences

  • Beginner OpenCV developers who are interested to create awesome GUI application for their everyday use.
  • Any image processing based company employee
  • College, University Students
  • In this course, we will learn how to develop Graphical User Interface (GUI) for processing images as well as processing real-time webcam video feeds or video files. You will learn how to quickly acquire an image from your camera using  OpenCV and then use PyQt5 library to build the user interface.

    You may find many instructional videos about how to use Python for everyday tasks, but actually finding a detailed guide about how to build a desktop application using Python is quite difficult. Building GUIs aren’t so complicated, what actually makes them complex are the factors you need to consider that will let your user interact with the program.

    Upon completion, this course will provide you a better comprehensive overview of how to design a GUI-application framework, splitting important elements into modules. You’ll also learn building applications completely from scratch and also learn about making professional look-alike apps using PyQt5 library. Every step will be provided with detailed instructions in this course. So get ready to build your first image processing GUI application.

    Course Curriculum

    Chapter 1: OpenCV GUI Development for Images

    Lecture 1: Overview of the Course

    Lecture 2: 1- Install Python 3.6, PyQt5 and OpenCV 3.3.1

    Lecture 3: 2- Install PyCharm IDE, PyQt5 and PyQT5 Designer Tool

    Lecture 4: 3- Create Your First Python GUI Application using PyQT5

    Lecture 5: 4- Laod and Display OpenCV Image using QLabel and QPushButton

    Lecture 6: 5- Load and Save an OpenCV Image Using QFileDialog and Button

    Lecture 7: 6- Load Image, Apply Canny Edge Algorithm and Save Image

    Lecture 8: 7- OpenCV createTrackbar for Canny Edge using PyQt5 Slider

    Lecture 9: 8- Eye & Face Detection and Display to the QLable using PyQT5

    Lecture 10: 9- Rotate an Image and Save it Using PyQt5 GUI Window

    Chapter 2: OpenCV GUI Development for Webcam Video Feed or Video Files

    Lecture 1: 10- Display WebCam Video Feed on QLabel

    Lecture 2: 11- Apply Canny to OpenCV WebCam Video

    Lecture 3: 12- OpenCV Face Detection Application using PyQt5

    Chapter 3: Download Resource Files

    Lecture 1: Download Tutorial Code Files

    Instructors

  • Python OpenCV Based GUI Application Development using PyQt5  No.2
    Md Hanif Ali Sohag
    Instructor
  • Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 1 votes
  • 3 stars: 5 votes
  • 4 stars: 19 votes
  • 5 stars: 22 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!