https://youtu.be/UHIJjYH9Zi4 Autograd, short for automatic differentiation, is a crucial component of modern machine learning frameworks like PyTorch, TensorFlow, and others. It enables automatic computation of gradients, which are essential for training machine learning models through techniques like gradient descent. Gradient: In the context of machine learning, a gradient represents the rate of change of a […]
https://youtu.be/WdBevhl5X0A?si=OtQowiw_3SgKke-0 1.1: What is PyTorch? PyTorch is an open-source machine learning library developed by Facebook’s AI Research lab (FAIR). It is primarily used for deep learning and is known for its flexibility, dynamic computation graph, and strong support for neural networks. PyTorch is based on the Torch library, and it provides a Python interface for […]
https://youtu.be/2deM80iuEYw In PyTorch, a tensor is a fundamental data structure that is used to represent multi-dimensional arrays. It is similar to NumPy arrays but has the added advantage of being able to run on GPUs, which makes it especially well-suited for deep learning and other machine learning tasks. Here are some key points about tensors […]
https://youtu.be/1JItKbpW24Y A color image, in the context of digital image processing, is an image that contains information about color. In most cases, color images are represented in the Red-Green-Blue (RGB) color model, where each pixel is a combination of three primary color channels: Red, Green, and Blue. Each channel represents the intensity or contribution of […]
Utility functions for images refer to mathematical functions or algorithms that are designed to evaluate or measure various aspects of an image’s quality, content, or characteristics. These functions are often used in image processing and computer vision applications to perform tasks such as image analysis, enhancement, compression, or evaluation. Here are some common utility functions […]
Manipulating pixels in images refers to the process of making changes to individual pixels within a digital image. Each pixel in an image represents a tiny unit of color and contributes to the overall appearance of the image. Manipulating these pixels allows you to perform various image processing tasks, such as adjusting colors, enhancing details, […]
An image can be represented as a matrix, where each element of the matrix corresponds to a pixel in the image. The values in the matrix represent the intensity or color of each pixel. In this documentation, we will explain how to represent an image as a matrix and discuss important points related to this […]
A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels. Pixel values typically represent gray levels, colors, and intensities of light. Digital images are used in a variety of applications, including computer vision, medical imaging, and digital photography. Definition of Digital Image: A […]
Images are everywhere, from the photographs we take with our smartphones to the visuals we see on our computer screens. But how exactly are these images formed? This documentation will delve into the science and mechanics behind image formation, explaining the process step by step. Introduction to Light: The formation of images is primarily a […]
Introduction: Computer vision is a field of artificial intelligence that enables computers to interpret and understand visual information from the world, such as images and videos. Despite significant advancements, there are still numerous challenges that need to be addressed to improve the accuracy and efficiency of computer vision systems. Data Quality and Quantity: One of […]