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Face detection is a computer technology that is being applied for many different applications that require the identification of human faces in digital images or video. It can be regarded as a specific case of object-class detection, where the task is to find the locations and sizes of all objects in an image that belongs to a given class. The technology is able to detect frontal or near-frontal faces in a photo, regardless of orientation, lighting conditions or skin color . Not Face Recognition! It’s about Detection. Face recognition describes a biometric technology that goes way beyond recognizing when a human face is present. It actually attempts to establish whose face it is. In this article, I’m not going deep into recognizing. I’ll keep that for a future blog article and for the time being, I’m going to explain how to run a simple Face  Detection program using your WebCam with Python Or we can run simple program on image as well . We are dealing with below Cascade models for fac

This is first tutorial of the series beginning with installation instruction of opencv2 / opencv3 in python anaconda virtual Environment . We will come with lot of exciting blog like face detection and recognition in video/image/livestream , object or people tracking etc , So stay tuned and subscribe for more updates . We are installing it on MAC OS , you need below tools to setup OpenCV: Xcode Homebrew Anaconda OS X Step 1: Install Xcode Go to App Store , Search for Xcode Install it . Step 2: Install HomeBrew Open Terminal(Application->Utilites->terminal) Write this following in terminal: ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install )" brew install python Step 3: Install Anaconda Python Package Follow the Installation instructions, should be pretty standard, however Continuum has a guide here . Type Conda Info and check Installation . click here for Anaconda cheat sheet . Step 4: Create Conda Virtual Env and setup OpenCV You

From last few years ,microservices are an accelerating trend . Indeed, microservices approach offers tangible benefits including an increase in scalability, flexibility, agility, and other significant advantages. Netflix, Google, Amazon, and other tech leaders have successfully switched from monolithic architecture to microservices. Meanwhile, many companies consider following this example as the most efficient way for business growth. On the contrary, the monolithic approach is a default model for creating a software application. Still, its trend is going down because building a monolithic application poses a number of challenges associated with handling a huge code base, adopting a new technology, scaling, deployment, implementing new changes and others. So is the monolithic approach outdated and should be left in the past? And is it worth shifting the whole application from a monolith to microservices ? Will developing a microservices application help you reach you