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In this tutorial we will go over OpenCV’s DNN module in detail, I plan to cover various important details of the DNN module that is never discussed, things that usually trip of people like, selecting preprocessing params correctly and designing pre and postprocessing pipelines for different models. This post is the first of 3 in our brand new Deep Learning with OpenCV series. All three posts are titled as: Deep Learning with OpenCV DNN Module,
Main Image
This tutorial will serve as a crash course to dlib library. Dlib is another powerful computer vision library out there. It is not as extensive as OpenCV but still, there is a lot you can do with it.This crash course assumes you’re somewhat familiar with OpenCV, if not then I’ve also published a crash course on OpenCV too. Make sure to download Dlib Resource Guide above which includes all important links in this post. Side
A few weeks ago I published a tutorial on doing Super-resolution with OpenCV using the DNN module.I would recommend that you go over that tutorial before reading this one but you can still easily follow along with this tutorial. For those of you who don’t know what Super-resolution is then here is an explanation. Super Resolution can be defined as the class of Algorithms that upscales an image without losing quality, meaning you take a 
Facial Recognition
A few weeks ago we learned how to do Super-Resolution using OpenCV’s DNN module, in today’s post we will perform Facial Expression Recognition AKA Emotion Recognition using the DNN module. Although the term emotion recognition is technically incorrect (I will explain why) for this problem but for the remainder of this post I’ll be using both of these terms, since emotion recognition is short and also good for SEO since people still search for emotion
If you’re looking for a single stand-alone Tutorial that will give you a good overall taste of the exciting field of Computer Vision using OpenCV then this is it. This Tutorial will serve as a Crash Course to learn the basics of OpenCV Library.  What is OpenCV: OpenCV (Open Source Computer Vision ) is the biggest library for Computer Vision which contains more than 2500 optimized algorithms that can be used to do face detection,

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