When you work with OpenCV, you most often work with images. However, you may find it useful to create animation from multiple images. Chances are that showing images in rapid succession may give you different insight or it is easier to visualize your work by introducing a time axis. In this post, you will see […]
Digital videos are close relatives of digital images because they are made up of many digital images sequentially displayed in rapid succession to create the effect of moving visual data. The OpenCV library provides several methods to work with videos, such as reading video data from different sources and accessing several of their properties. In […]
When working with images, some of the most basic operations that are essential to get a grip on include reading the images from disk, displaying them, accessing their pixel values, and converting them from one color space to another. This tutorial explains these basic operations, starting first with a description of how a digital image […]
If you are interested in working with images and video and would like to introduce machine learning into your computer vision applications, then OpenCV is a library you will need to get hold of. OpenCV is a huge open source library that can interface with various programming languages, including Python, and is extensively used by […]
One of the most popular plotting libraries in R is not the plotting function in R base, but the ggplot2 library. People use that because it is flexible. This library also works using the philosophy of “grammar of graphics”, which is not to generate a visualization upon a function call, but to define what should […]
When you are working on a data science project, the data is often tabular structured. You can use the built-in data table to handle such data in R. You can also use the famous library dplyr instead to benefit from its rich toolset. In this post, you will learn how dplyr can help you explore […]
One reason people would like to use RStudio for their work is because of the R Markdown. This made the RStudio not only an IDE for programming in R, but also a notepad in which they could put down their thoughts with R code and results. In this post, you will learn how to use […]
R as a data analytics platform is expected to have a lot of support for various statistical tests. In this post, you are going to see how you can run statistical tests using the built-in functions in R. Specifically, you are going to learn: What is t-test and how to do it in R What […]
Whether working on a machine learning project, a simulation, or other models, you need to generate random numbers in your code. R as a programming language, has several functions for random number generation. In this post, you will learn about them and see how they can be used in a larger program. Specifically, you will […]
Visualizing data can sometimes help people understand it better. As a data analytics platform, R provided some advanced plotting functions. In this post, you will learn how to use the built-in plot functions to create some common visualization. Specifically, you will learn how to create: Line plot Scatter plot Pie charts Let’s get started. Overview […]
