A list is a collection of values that can be of any data type (e.g. integers, strings, floats, etc.). Lists are ordered and mutable, meaning that you can add, remove, or change elements within the list. Lists are represented by square brackets [].For example: Some common operations for lists include: indexing, slicing, concatenating, checking the […]
Tuples are an ordered and immutable sequence of items, often used to store multiple items as a single unit. Tuples are defined by enclosing elements within parentheses ( ). Tuples can contain items of any type and can have duplicates. The items in a tuple can be accessed using indexing and slicing, just like lists.
Functions in Python are a way to organize and reuse code. A function is a block of code that takes input parameters, performs a set of operations, and returns an output (or multiple outputs). Functions can be called multiple times and from different parts of a program.Defining a function in Python starts with the def
Exception handling in Python allows a programmer to handle runtime errors by catching exceptions and taking appropriate action to handle them. In Python, exceptions are raised when an error occurs during execution of the program. An exception can be handled using a try statement, which allows the programmer to catch exceptions and take appropriate action.
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Python provides different control flow statements to control the flow of execution in a program:if statement – Conditional execution of a block of code based on a certain condition.for loop – Iteration over a sequence of elements, such as a list, tuple or string.while loop – Continuously executing a block of code until a certain
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Gaussian Blur is a widely used image processing technique that reduces image noise and detail by averaging the pixel values in a Gaussian kernel. This makes the image smoother and less noisy while preserving edges better than other types of blurring. Why Gaussian Blur? Key Function: cv2.GaussianBlur() Syntax: cv2.GaussianBlur(src, ksize, sigmaX, dst=None, sigmaY=0, borderType=cv2.BORDER_DEFAULT) Parameters:
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Resizing an image involves changing its dimensions (width and height) to the desired size. OpenCV provides the cv2.resize() function to perform this operation efficiently. Syntax: cv2.resize(src, dsize, fx=0, fy=0, interpolation=cv2.INTER_LINEAR) Parameters: Example Code: How Resizing Works: Scaling with fx and fy: Instead of providing exact dimensions, scaling factors can be used: # Scale the image
The input() function in Python is used to take input from the user via the console. The input received is always in the form of a string, and you can process or convert it as needed. Syntax: input(prompt) Console Input Function in Python The input() function in Python is used to take input from the
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Grayscale images simplify processing by reducing color complexity. A grayscale image contains shades of gray, where each pixel’s intensity ranges from 0 (black) to 255 (white). OpenCV provides the cv2.cvtColor() function to convert a color image to grayscale. Step 1: Read the Image image = cv2.imread(‘example.jpg’) Step 2: Convert to Grayscale gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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OpenCV (Open Source Computer Vision Library) is a powerful library for real-time computer vision and image processing. With Python bindings, OpenCV enables developers to perform a wide range of image processing tasks efficiently and effectively. Key Features of OpenCV Installing OpenCV To use OpenCV, install it using pip: Reading and Displaying an Image import cv2:This
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