OpenCV

Deploying a Deep Learning Skin Classification App to Google Cloud

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A Step-by-Step Guide In this guide, we’ll walk you through the process of deploying a deep learning skin classification application to Google Cloud Run. Cloud Run is a fully managed platform that automatically scales your containerized applications, making it an ideal choice for deploying machine learning models. Whether you’re a data scientist or a developer, …

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Skin Cancer Classification Web App, Docker, and Azure Cloud

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In this comprehensive blog, we will walk you through the process of creating and deploying a Deep Learning-based image classification project. We will focus on classifying skin cancer images into benign and malignant categories using modern technologies. The journey will cover training a deep learning model, building a Flask web application, managing version control with …

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Morphological operations

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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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Generative Adversarial Network (GAN)

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A Generative Adversarial Network (GAN) is a type of machine learning model that is composed of two parts: a generator and a discriminator. The generator model generates fake data, such as fake images, while the discriminator model attempts to classify the fake data as real or fake. The generator and discriminator models are trained together …

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Face mask detection Gender Age prediction

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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

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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

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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:

Text Extraction Image to String

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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

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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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