This blog post explores JavaScript strings. We’ll look at how to make them, change them, and use some common string methods. We’ll also show code examples. 1. Making a String You can make strings with single quotes (‘) double quotes (“), or backticks (`). Example: <script> let str1 = ‘Hello’; let str2 = “World”; let …
Now we’ll explore how Canny Edge Detection works and implement it using Python with OpenCV.Edge detection is a fundamental technique in image processing and Computer Vision, used to identify the boundaries of objects within an image. Canny Edge Detection stands out as one of the most robust and widely used techniques among the various edge …
Edge Detection in Images Using Canny Edge Detection Read More »
Traditional unit testing checks expected inputs and outputs. But what if you could test your functions against a wide range of generated inputs, including edge cases you never thought of? That’s where property-based testing comes in — and in Python, the go-to tool is the powerful library Hypothesis. This guide walks you through what property-based …
Using Hypothesis for Property-Based Testing in Python Read More »
Want to learn how to create custom annotations in Java? In this hands-on guide, we’ll show you how to build a real-world role-based access control system using them. Java annotations are a powerful feature that allows developers to add metadata to their code. But did you know you can create your own custom annotations to …
How to Create Custom Annotations in Java (With Real-World Example) Read More »
In this tutorial, you’ll learn how to use transfer learning in PyTorch by fine-tuning a pretrained CNN model (ResNet18) to perform image classification. This is ideal for beginners exploring deep learning with real-world image data. What is Transfer Learning? Transfer learning is a technique where you take a model pretrained on a large dataset (like …
Fine-Tuning Pretrained Models with PyTorch Transfer Learning Read More »
In this tutorial, we’ll explore OpenCV, short for Open Source Computer Vision Library is one of the most popular and widely used libraries for Computer Vision and image processing. Originally developed by Intel in 1999, OpenCV has become a cornerstone in the field of Computer Vision, enabling developers and researchers to create real-time applications that analyze and …
How to Draw Shapes (Lines, Circles, Rectangles) on Images Using OpenCV Read More »
In this tutorial, you’ll learn how to implement binary classification with Keras using the Sequential model. This beginner-friendly guide walks you through data prep, model building, training, and prediction—all using standalone Keras. Binary classification is a supervised learning task where we classify data into one of two classes (e.g., Spam or Not Spam, Fraud or …
Keras Binary Classification with Sequential Model Read More »
In this tutorial, we will learn about Functions, which are one of the most fundamental building blocks in Python programming. They allow you to organize your code into reusable blocks, making it modular and easier to maintain. I will guide you through a straightforward and engaging method that makes even complex concepts easy. With clear …
Hey everyone! Today, I’m going to show you how to handle events in JavaScript using event listeners. This is a fundamental concept in web development, and once you get the hang of it, you’ll be able to create interactive and dynamic web pages that respond to user actions—whether it’s a click, a keypress, or even …
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In this article, we will learn how to convert an image to grayscale using Python and OpenCV. The process is simple and requires just a few lines of code. Grayscale images are useful for simplifying image processing tasks and reducing computational complexity, making them an essential tool in computer vision and image analysis. What is …
Convert an image into grayscale in Python OpenCV Read More »