“All power is within you. You can do anything and everything. Believe in that. Do not believe that you are weak; do not believe you are half-crazy lunatics, as most of us do nowadays. Stand up and express the divinity within you.”
-By Swami Vivekanand
Computer Vision is a field of computer science that enabling the computer to see just like a human.
Computer vision is the study of visual data. The demand of the visual data in the world is really exploded. Everyone has smartphones in which they have the 1 or 2 and maybe 3 cameras, we can say that number of the camera is much larger than a number of population in the world because of that the massive amount of data is produced. One statistic by Cisco is that in the year 2020,80% of traffic on the internet it will be visual data, hence it is the critical issue that we should develop some algorithm which handles and analyze this large amount of data. For eg. In Youtube, approximately 5 hours of video produced in every one second. Now you can imagine that the only youtube producing a huge amount of visual data hence the need of ComputerVision is taking a large hike in this 21st century.
Application Area Of Computer Vision:
By looking above picture you can imagine that vast application of Computer Vision. This blog will be based on Deep learning Computer Vision only.
Computer Vision used in Deep Learning is mainly applied in Convolution Neural Network(CNN) for Image Classification Since CNN is deal with images and video data inputs.
Applying Various Computer Vision Algorithm is can be a tedious task, so instead of learning how to code those algorithms will make our lives very difficult. Here is the trick If you are new to this technology I recommend you to learn OpenCV library. You just learn theory or intuition behind that algorithm and this python library will make your life easy.
What is the OpenCV Library?
OpenCV is an open source computer vision and machine learning software library. The library has more than 2500 optimized algorithm.
This algorithm can be used to detect and recognize faces, identify objects,classify human actions in videos,track camera movements,track moving objects,extract 3D models of objects,produce 3D point clouds from stereo cameras,stitch images together to produce a high resolution image of an entire scene,find similar images from an image databases,remove red eyes from images taken using flash,follow eye movements,recognize scenery and establish markers to overlay it with augmented reality,etc.
OpenCV has more than 47 thousand users. Even big companies like Google, Yahoo, Microsoft, Intel, IBM etc also uses OpenCV library.
It has C++, java, python and Matlab interfaces and supports Windows, Linux, Android, and Mac OS.
Hence OpenCV Library has more than 14 million downloads. So start learning OpenCV if you want to deal with visual data.
Happy Machine Learning
Author: Vikas Maurya
Originally published at https://knowledgeinai.blogspot.com on January 13, 2019.