Say Hello to Artificial Intelligence
Say Hello to Artificial Intelligence
Data visualization is the process of representing data in a graphical or visual format, such as charts and graphs, to help people understand the significance and patterns in the data. Data visualization allows people to see the relationships and trends in the data, and to better understand complex or large datasets. It can be used …
Exception handling is a mechanism in computer programming that allows the program to handle runtime errors that may occur in the course of its execution. This is done by identifying and catching exceptions, which are unexpected events or errors that may occur during the execution of a program. When an exception occurs, the program can …
To read and write text files in Python, you can use the built-in open() function. This function takes two arguments: the name of the file you want to read or write, and a string that specifies the mode in which you want to open the file. To open a file for reading, you can use …
Morphological operations are a set of image processing operations that are performed on binary images. These operations are based on the shape of the objects in the image, and are used to extract structural information from the image. Some common morphological operations include dilation, erosion, opening, closing, and skeletonization. These operations can be used to …
Support Vector Machines (SVM) is a type of supervised machine learning algorithm that is commonly used for classification and regression tasks. It works by finding the best boundary or decision surface that separates the different classes in the data. This boundary is called the hyperplane and the points that are closest to it are called …
As I mentioned in my previous blog, face mask detection uses deep learning techniques. In this blog, you will learn how to accurately detect the face mask and classify it into two categories (face mask and no face mask). For this purpose, first, we trained the deep learning CNN model (MOBILE NET) using the facemask …
Facemask detection using deep learning techniques. In this blog, you will learn how to accurately detect the face mask and classify it into two classes (face mask and no face mask). For this purpose First, we trained the deep learning CNN model(Resnet) using the facemask dataset. After training the model, we used that model with …
Computer Vision is one powerful tool that helps in predicting various tasks.In this blog, you will learn how to measure the distance between a person and a camera. step 1 download the Haarcasde classifier to detect faces in real-time (haarcascade_frontalface_default.xml). https://github.com/kipr/opencv/tree/master/data/haarcascades Code:
This library offers you the possibility to evaluate many machine learning models at the same time,using sk-learn and saving a lot of time and coding. In this blog, we will see how we can use multiple models at once for prediction using Lazy Predict library. CLASSIFICATION MODELS CLASSIFICATION MODELS CLASSIFICATION MODELS First, you need to …
Text extraction, often known as keyword extraction, is a method of automatically scanning text and extracting relevant or core words and phrases from unstructured data such as news articles, surveys, and customer service issues using machine learning. In this blog, we will see how we can extract text by using pytesseract library. First, need to …