Curated Video
Inside the Computer: Exploring Key Components and How They Work
New ReviewThis video provides a basic overview of the key components inside a computer, such as the motherboard, CPU, RAM, hard drive, and power supply unit. It explains their functions and how they work together to make a computer operate. The...
Curated Video
Understanding the Basic Components of a Computer System
New ReviewThis video provides an overview of the basic components of a computer setup, including the computer case, monitor, keyboard, and mouse. It explains how these parts work together to facilitate processing, display, and interaction with the...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Humans vs. Computers Vision system
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: Humans vs. Computers Vision system
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : What is computer vision and why is it important?
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: What is computer vision and why is it important?
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Convolutions - Sharpening and Blurring
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: Convolutions - Sharpening and Blurring
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Detect lane lines in colored image
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] Detect lane lines in colored image
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Convolutions - Sharpening and Blurring
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] Convolutions - Sharpening and Blurring
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Detect lane lines in gray scale image
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] Detect lane lines in gray scale image
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Convert RGB to HSV color spaces and merge/split channels
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] Convert RGB to HSV color spaces and merge/split channels
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] View colored image and convert RGB to Gray
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] View colored image and convert RGB to Gray
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Project #1: Canny Sobel and Laplace Edge Detection using Webcam
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] Project #1: Canny Sobel and Laplace Edge Detection using Webcam
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : What is an image and how is it digitally stored?
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: What is an image and how is it digitally stored?
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Color Spaces
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: Color Spaces
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: [Activity] Edge Detection and Gradient Calculations (Sobel, Laplace and Canny)
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : What are the challenges of color selection technique?
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: What are the challenges of color selection technique?
Crash Course
How Computers Calculate - the ALU: Crash Course Computer Science
Today we're going to talk about a fundamental part of all modern computers. The thing that basically everything else uses - the Arithmetic and Logic Unit (or the ALU). The ALU may not have the most exciting name, but it is the...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to perform rotation, translation and resizing
From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision. Computer Vision Basics: Part 2: [Activity] Code to perform rotation, translation and resizing
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Transformation - Rotations, Translation and Resizing
From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision. Computer Vision Basics: Part 2: Image Transformation - Rotations, Translation and Resizing
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Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] FAST/ORB Feature Extraction in OpenCV
From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision. Computer Vision Basics: Part 3: [Activity] FAST/ORB Feature Extraction in OpenCV
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Scaling – Pyramiding up/down
From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision. Computer Vision Basics: Part 3: Image Scaling – Pyramiding up/down
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Image Features and their importance for object detection
From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision. Computer Vision Basics: Part 3: Image Features and their importance for object detection
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Project Solution: Hough transform to detect lane lines in an image
From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision. Computer Vision Basics: Part 2: Project Solution: Hough transform to detect lane lines in an image
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Hough transform – practical example in python
From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision. Computer Vision Basics: Part 2: [Activity] Hough transform – practical example in python