PyQt5 + OpenCV Mini Project: Simple DIP Image Editor GUI (Load, Gray, Blur, Edges

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Learn how to build a simple Digital Image Processing (DIP) Image Editor in Python using PyQt5 and OpenCV in this mini project video. In this tutorial, the app can load an image, convert it to grayscale, apply blur, detect edges, and save the processed output with a clean GUI layout.​
GitHub Code :https://github.com/ganeshravindrapatil/PyQt5-OpenCV-Mini-Project-Simple-DIP-Image-Editor-GUI-Load-Gray-Blur-Edges-
What you will learn:

Create a PyQt5 GUI window with buttons and image preview areas.​

Integrate OpenCV with PyQt5 to display and process images (grayscale, blur, Canny edges).​

Convert OpenCV images to QImage/QPixmap and save processed results from the GUI.​​

This project is perfect for beginners in Python, PyQt5, and digital image processing, and useful for BSc/MSc/engineering mini projects. If you find this video helpful, like, share, and subscribe to Computer Knowledge with Ganesh for more Python, PyQt5, and image processing tutorials.
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Видео PyQt5 + OpenCV Mini Project: Simple DIP Image Editor GUI (Load, Gray, Blur, Edges канала Computer Knowledge with Ganesh