In this video we will show you how to install opencv and read images from directory Opencv-python
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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I am pretty sure you have tried out various filters available on the social platforms and your camera as well.
Today in this tutorial, we will be applying few of the filters to images. Exciting right?
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#python programming examples #python and opencv: apply filters to images #apply filters to images #python and opencv #opencv #filters to images
Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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In this tutorial, we will learn how to use
imread() method of OpenCV-Python in detail and different ways to load an image using
Table of Contents
#python modules #opencv-python #python imread() #opencv.imread() #python imread(): different ways to load an image using the opencv.imread() method #load an image
In the modern age, we store all image data in digital memory. This can be your computer or your mobile device, or your cloud space. Whenever a device stores an image, it keeps it by breaking it into a very small mosaic or pixel form or simply saying that the computer breaks it into tiny box parts before storing any image. These small box parts can be considered as the pixel of the images. Therefore, as the size of tiles increases, the resolution of the image decreases, and the fineness of the tiles increases the resolution of the images.
The simplest way to explain the pixels is that they consist of Red, Green, and Blue. Pixels are the smallest unit of information about any image, which are arranged in the 2-dimensional grid.
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If any of those three colours of any pixel is at full intensity, we can consider it is having a pixel value of 255. A pixel value can change between 0-255; if an image is fully red, then the RGB value is (255,0,0), where red is denoted by 255 and green and blue are 0. Below is the example where we can see the formation of a full-color image.
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