Python OpenCV Based GUI Application Development using PyQt5
- Development
- May 06, 2025

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
Who Should Attend
Target Audiences
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

Md Hanif Ali Sohag
Instructor
Rating Distribution
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!
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