Python

Morphological operations

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 …

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Face mask detection Gender Age prediction

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 …

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Realtime facemask detection | 100% accurately

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 …

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Distance Measure in Python

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:

Run All Machine Learning models in Once

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 …

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Text Extraction Image to String

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 …

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Diagnosis for prediction of knee osteoarthritis using deep learning

In this blog, we learn how to diagnosis the prediction of X-rays knee classification using Convolutional neural network and then deploy the model using Web-based Flask application. Diagnosis for the prediction of knee osteoarthritis using deep learning techniques. The dataset consists of 1650 digital X-ray images of knee joint which are collected from well reputed …

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YOLO object detection algorithm

YOLO (You only look once) is the state-of-the-art, real-time system built on deep learning for solving object detection problems. YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A …

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