TED-Ed
TED-Ed: How we see color - Colm Kelleher
There are three types of color receptors in your eye: red, green and blue. But how do we see the amazing kaleidoscope of other colors that make up our world? Colm Kelleher explains how humans can see everything from auburn to aquamarine.
SciShow
The Most Advanced Robots in the World
The most advanced robots in the world might not be exactly what you’re expecting. But they’re shaping humanity’s future. Hosted by: Michael Aranda
KnowMo
Methods for Converting Fractions into Decimals
The video provides two methods for converting fractions into decimals - the division method and the equivalent fraction method. The video also suggests working with mixed numbers and knowing multiplication tables to simplify the process.
Brian McLogan
How to solve by graphing a system of linear equations by graphing
👉To solve a system of equations means to obtain a common x-value and a common y-value that makes the each of the equation in the system true. To solve a system of equations by graphing means to obtain the point of intersection (if any)...
The March of Time
1946: TESTING BABY: Baby sitting up at table, doctor using bell to test hearing, development, ringing bell both sides of baby, placing bell on table child grabbing bell. Cute. (VO says brighter children to superior mental family, average to average)
MOT 1946: TESTING BABY: Baby sitting up at table, doctor using bell to test hearing, development, ringing bell both sides of baby, placing bell on table child grabbing bell. Cute. (VO says brighter children to superior mental family,...
JJ Medicine
Chloroquine & Hydroxychloroquine | Mechanism of Action, Targets (Malaria), Adverse Effects
Chloroquine & Hydroxychloroquine | Mechanism of Action, Targets (Malaria), Adverse Effects In this lesson, we discuss the medications known as chloroquine and hydroxychloroquine, including how they are administered, metabolized and...
Curated Video
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 : [Activity] Find a truck in an image manually!
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] Find a truck in an image manually!
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to perform corner 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: [Activity] Code to perform corner detection
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Template Matching - Find a Truck
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: Template Matching - Find a Truck
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to perform HOG Feature extraction
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] Code to perform HOG Feature extraction
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Project Solution: Find a Truck Using Template Matching
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] Project Solution: Find a Truck Using Template Matching
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to perform Image pyramiding
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] Code to perform Image pyramiding
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Feature Extraction - SIFT, SURF, FAST and ORB
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: Feature Extraction - SIFT, SURF, FAST and ORB
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Code to obtain color histogram
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] Code to obtain color histogram
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Histogram of colors
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: Histogram of colors
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Corner detection – Harris
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: Corner detection – Harris
Brainwaves Video Anthology
Chinma Uche - Why Teach Computer Science
Chinma Uche is a Math and Computer Science (CS) teacher at the Academy of Aerospace and Engineering (AAE) and the Greater Hartford Academy of Math and Science (GHAMAS). She is the 2015 CREAC Teacher of the Year. She has been at GHAMAS...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Histogram of Oriented Gradients (HOG)
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: Histogram of Oriented Gradients (HOG)
Packt
Use functions or APIs from external libraries to develop a computer program : Name and Main
From the section: Advanced Python. This section helps to understand about OOP, classes, class interface etc. We will dive into learning Advance Python Why does "Name and Main" sound like a steakhouse? It has nothing to do with steak. But...
Packt
Use functions or APIs from external libraries to develop a computer program : Creating a Package
From the section: Advanced Python. This section helps to understand about OOP, classes, class interface etc. We will dive into learning Advance Python Learn how to create your own local package for your Python programs!
Packt
Use functions or APIs from external libraries to develop a computer program : Introduction to Modules
From the section: Advanced Python. This section helps to understand about OOP, classes, class interface etc. We will dive into learning Advance Python Modules. Files. Modules. Files. Modules... you get the point. A module is basically...