#Opencv interlacing image install#
#Opencv interlacing image code#

Here are the red, green and blue intensities for some common colors. Since thereĪre three basic colors, that means that you can create 256 3 distinct colors using the RGB Color Model. This means that there are actually 256 different amounts of intensity for each basic color. For example if the red intensity is 0, then there is no red in the pixel. The minimum intensity value for a basic color is 0. The amount of each color, sometimes called the intensity of the color, allows us to have very fine control over the This technique for creating color is known as the RGB Color Model. Of three basic colors: red, green, and blue. The specific color depends on a formula that mixes various amounts In the figure below, the pixel of interest is found at column c and row r.Įach pixel of the image will represent a single color. This will be very useful later when we iterate using range. That computer scientists like to start counting with 0! This means that if there are 20 rows, they will be named 0,1,2, and so on through 19. However, it is very important to remember We can name the pixels in the grid by using the column number and row number. The width is the number of columns and the height is the number of rows. Sometimes these pixels appear as small “dots”.Įach image (grid of pixels) has its own width and its own height. Each pixel represents the smallest amount of picture information that isĪvailable. These pixels are organized in a two-dimensional grid. In this section we willĮxplore how iteration allows us to manipulate these images.Ī digital image is a finite collection of small, discrete picture elements called pixels. Another object that is organized in rows and columns is a digital image. You have probably seen many tables like this if you have used a Two dimensional tables have both rows and columns. It is a great introduction to the image filtering that follows. The following video (created by ) describes how images are represented using binary digits, as well as an overview of how image filters work.

#Opencv interlacing image code#

You should now be able to use any image that you download with the example code shown below.īe careful! You need to save the Python file and the image file in the same directory on your computer for this to work! Once the package is selected, click install. To do this, open Thonny and select Tools -> Manage packages…, then type in cs20-image and press Search.

#Opencv interlacing image install#

Before starting this section, you will want to install the cs20-image package.