Question 1: What is computer vision? Answer: Computer vision is a multidisciplinary field that empowers machines to comprehend and interpret visual information, mimicking human visual perception. It involves the development of algorithms and systems to automatically analyze, understand, and make decisions based on images or videos. Question 2: Explain the difference between image processing and […]
Basic Statistics Documentation Table of Contents Introduction 1.1. Purpose of Basic Statistics 1.2. Key Concepts Descriptive Statistics 2.1. Measures of Central Tendency 2.1.1. Mean 2.1.2. Median 2.1.3. Mode 2.2. Measures of Dispersion 2.2.1. Range 2.2.2. Variance 2.2.3. Standard Deviation Inferential Statistics 3.1. Probability Distributions 3.1.1. Normal Distribution 3.1.2. Binomial Distribution 3.2. Hypothesis Testing 3.2.1. Null […]
https://youtu.be/yZGOfQxL-7Q 4.1: Introduction to Neural Networks Biological vs. Artificial Neural Networks: Discuss similarities and differences between biological neural networks (like the human brain) and artificial neural networks. Neural Network Topologies: Explore different network topologies such as fully connected, locally connected, and sparse networks. How Neural Networks Learn: Explain the concept of learning in neural networks, […]
1. Reading and Displaying an Image with Alpha Channel import cv2 import numpy as np # Read the image with alpha channel img = cv2.imread(‘Cat_Small.jpg’, cv2.IMREAD_UNCHANGED) print(img.shape) # Display the image cv2.imshow(‘Image with Alpha Channel’, img) cv2.waitKey(0) cv2.destroyAllWindows() 2. Extracting Alpha Channel from an Image # Extract alpha channel alpha_channel = img[:, :, 2] # […]
3.1: Tensors Tensors are the central unit of data in TensorFlow. They are similar to arrays or matrices in other programming languages. A tensor has a data type and a shape. For example, a tensor can be one-dimensional (like a vector), two-dimensional (like a matrix), or even higher-dimensional. 3.2: Operations on Tensors TensorFlow provides a […]
https://youtu.be/uPJVHgn0PjU Image segmentation is a computer vision task that involves dividing an image into different parts or regions. Each of these regions represents a meaningful or semantically similar area. Here are the general steps involved in image segmentation: Image Acquisition: Obtain the image you want to segment through various means such as cameras, satellites, or […]
https://youtu.be/hC1GPUVcLfk?si=wFBsQUDXCrRroL-d Question 1: What is the “str” data type used for in Python? # Answer 1: # The “str” data type in Python is used to represent and manipulate text strings. Question 2: How can you create an empty string in Python? # Answer 2: # An empty string can be created using either single […]
Q: What is a string in Python? A: In Python, a string is a sequence of characters enclosed within single, double, or triple quotes. Q: How do you create a multi-line string in Python? A: Multi-line strings can be created by using triple quotes, either ”’ or “””. Q: How can you concatenate two strings […]
1.2 Setting Up Your Python Environment Before diving into the world of Python programming, it’s crucial to set up your development environment. This section will guide you through the necessary steps to ensure you have everything you need to start writing and running Python code. 1.2.1 Installing Python The first step is to install Python […]
https://youtu.be/5XQyzB5mHPI Data collection is a crucial step in the research process, and the methods employed can vary based on the type of data needed and the nature of the study.The following is a list of several data gathering techniques, followed by a short description of how to do each one: Surveys and Questionnaires: Step 1: […]