Step by step guide on how transformer networks work — What is Natural Language Processing (NLP) Natural Language Processing is the branch of artificial intelligence that deals with giving machines the ability to understand human languages. It makes it possible for machines to read texts, understand the grammatical structures and interpret the contextual meaning of words used in sentences. It is used in machine translation to…

Step-by-step guide on the basics of Kubernetes concepts and how to set up machine learning Rest API on Azure Kubernetes Service — What is Kubernetes? The creation of scalable DevOps pipelines for production deployments requires enabling multiple daily deployments, hyper-scaling and monitoring of software applications. Kubernetes is a powerful DevOps tool for achieving scalable software applications deployments. Kubernetes is a tool for automating the deployment of multiple instances of an application, scaling, updating and monitoring…

Perform accurate and fast object segmentation in images and videos with PixelLib — Table of Contents Image Segmentation in Computer Vision Applications Image Segmentation Batch Image Segmentation Video Segmentation Camera Feeds’ Segmentation Image Segmentation in Computer Vision Applications Computer Vision is the ability of computers to see and analyze what they see. Image segmentation is an aspect of computer vision that deals with segmenting the contents of objects visualized by a computer…

Learn the basic concepts of docker, how it works, and how to use docker to build Machine Learning Rest APIs. — Table of Contents 1 What Is Docker and Why It Is Useful 2 Docker Concepts 3 Building A Machine Learning API with Docker 4 Docker Commands What is Docker and Why It Is Useful Docker is a tool that is used to combine a software application code and its dependencies as a single package, that can run independently in any computer’s…

Computer vision is the medium through which computers see and identify objects. The goal of computer vision is to make it possible for computers to analyze objects in images and videos, to solve different vision problems. Object Segmentation has paved way for convenient analysis of objects in images and videos…

Blur, color, grayscale and create a virtual background for a video with PixelLib — PixelLib is a library created to enable easy implementation of object segmentation in real life applications. PixelLib supports image tuning, which is the ability to alter the background of any image. PixelLib now supports video tuning, which is the ability to alter the background of videos and camera’s feeds. PixelLib…

Blur, color, grayscale and change the background of any image with a picture using PixelLib — Image segmentation has a lot of amazing applications that solve different computer vision problems. PixelLib is a library created to ensure easy integration of image segmentation in real life applications. PixelLib now supports a feature known as image tuning. Image Tuning: It is the change in the background of an…

Train your dataset with 7 Lines of Code to implement instance segmentation and object detection. — Image Segmentation is an important field in computer vision, it is applied in different fields of life. PixelLib is a library created to allow easy application of segmentation to real life problems. It supports instance segmentation of objects with Coco model. Segmentation with coco model is limited as you cannot…

Labelme is one of the most convenient annotation tool for polygon annotation. This article explains how to use labelme for annotation of objects. Install labelme and its dependencies. On Windows: pip3 install pyqt5 pip3 install labelme On Ubuntu 14.04 / Ubuntu 16.04: sudo apt-get install python3-pyqt5 sudo pip3 install labelme …