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401 K plans are retirement savings accounts that are offered by employers, typically ()in the United States. This article is a basic introduction to 401 ks and how they work, with sections on what they can be used for and who they're available to. It allows you to set aside money for your future. The money that you contribute to your 401k plan is deducted from your paycheck before taxes are taken out. This means that you will pay less in taxes now, and you will have more money saved for retirement. Your 401k plan will also offer you ... Read More
The 0x protocol is a decentralized exchange that allows for the buying and selling of Ethereum−based tokens. The article goes into detail about how this process works as well as how it benefits individuals who are looking to invest in cryptocurrency. What is 0x? 0x is an open−source protocol that enables the peer−to−peer exchange of assets on the Ethereum blockchain. The protocol is designed to be modular and extensible, and it features a decentralized exchange that is powered by smart contracts. 0x is free to use and it does not require a central authority. The protocol can be used to ... Read More
A shielded transaction is a type of cryptocurrency transaction that uses Zcash's zk−SNARK protocol to keep the sender, receiver, and transaction amount private. This article will explain how shielded transactions work and why they are useful. What is a shielded transaction? When it comes to cryptocurrency transactions, there are two main types − unshielded and shielded. Unshielded transactions are the more common of the two, and they work just like regular fiat currency transactions. Shielded transactions, on the other hand, offer more privacy and security. However, shielded transactions come with a few trade−offs. First, they're much more complicated to set ... Read More
In the traditional web development model, a single server hosts all of the resources that an application needs to function. However, this model has a number of drawbacks, which have led to the development of decentralized APIs. In this article, we'll take a look at what decentralized APIs are and how they can be used to improve the web development process. What is an API? An API is an interface that allows two pieces of software to communicate with each other. It is a set of rules that govern how data is exchanged between the two systems. An API can ... Read More
We apply the cv2.grabCut() method to extract the foreground in an image. For detailed approach please follow the steps given below − Import the required libraries OpenCV and NumPy. Make sure you have already installed them Read the input image using cv2.imread() method. Specify the full image path. Define the variables: mask, bgdModel and fgdModel. Define the coordinates of a rectangle "rect" which includes the foreground object in the format (x, y, w, h). The correct coordinates are very important to extract the meaningful foreground. Apply grabCut() algorithm to extract the foreground of the input image. Pass mask, ... Read More
We apply cv2.dct() to find the discrete cosine transform of an image. This function transforms the grayscale image of dtype float32. It accepts two types of flag cv2.DCT_INVERSE or cv2.DCT_ROWS. To convert the transformed image to the original image we use cv2.idct(). Steps To find discrete cosine transform of an input image, you could follow the steps given below − Import the required libraries OpenCV and NumPy. Make sure you have already installed them. Read the input image using cv2.imread() method. Specify the full path of the image. Convert the input image to grayscale image using cv2.cvtColor() metod. Convert ... Read More
The Shi-Tomasi Corner Detector is an enhanced algorithm of the Harris Corner Detector. To implement the Shi-Tomasi corner detector, OpenCV provides us with the function, cv2.goodFeaturesToTrack(). It detects N strongest corners in the image. Steps To detect corners in an image using Shi-Tomasi corner detector, you could follow the steps given below − Import required libraries OpenCV and NumPy. Make sure you have already installed them. Read the input image using cv2.imread() method. Specify the full path of the image. Convert the input image to grayscale image using cv2.cvtColor() metod. Apply cv2.goodFeaturesToTrack() function on the grayscale image. Pass suitable ... Read More
In OpenCV, the Harris corner detector is implemented using the function cv2.cornerHarris(). It accepts four arguments: img, blockSize, ksize, and k. Where img is the input image in grayscale and of float32 dtype, blockSize is the size of neighborhood considered for corner detection, ksize is Aperture parameter of Sobel derivative used and k is Harris detector free parameter in the equation. Steps To detect corners in an image using Harris corner detector, you could follow the steps given below Import required libraries OpenCV and NumPy. Make sure you have already installed them. Read the input image using cv2.imread() method. ... Read More
The histograms of two images can be compared using cv2.compareHist() function. The cv2.compareHist() function accepts three input arguments- hist1, hist2, and compare_method. The hist1 and hist2 are histograms of the two input images and compare_method is a metric to compute the matching between the histograms. It returns a numerical parameter that expresses how well two histograms match with each other. There are four metrics available to compare the histograms- Correlation, Chi-square, Intersection and Bhattacharyya distance. Steps To compare the histograms of two images one could follow the steps given below − Import the required libraries. In all the following ... Read More
We can perform the distance transform using the method cv2.distanceTransform(). Following is the syntax of this method. Syntax cv2.distanceTransform(src, distanceType, maskSize) This method accepts the following parameters − src − 8-bit, single-channel (binary) source image. distanceType − Type of the distance. maskSize − Size of the distance transform mask. Steps To perform distance transform on the image, we could follow the below steps- Import the required library. In all the following examples, the required Python library is OpenCV. Make sure you have already installed it. Read an input image using cv2.imread(). The RGB image read using ... Read More