Easylearning Free Webinar on Image Processing in Apache Spark

Easylearning.guru Introduce a new webinar on Image processing in spark. This webinar New Webinar Session around how images can be upload and processed in Apache spark.

Image processing is loading an image and performing some operation on it or extracting some useful information from it. This is what we will show in our webinar. 
We will read images in spark and perform operations like resizing the image on it or counting the number of faces in an image or extract some useful information like width and size of an image. 

Image processing is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies. It forms core research area within engineering and computer science disciplines too. 

The output of image processing may be either an image or a set of characteristics or parameters related to the image. Users will get to know how to handle big data in unstructured format using spark. The webinar is about analyzing images using spark. There are various analytics tools for processing images but making analysis using spark makes this webinar interesting. Theory as well as hand-on session are included in this webinar.

Get Complete Webinar Details and Enroll Now- http://goo.gl/J9faOV
Date: 28 June 2016 at 06:30 PM ( IST )

Read More

Face Detection using Hadoop MapReduce Framework

Face detection  is a PC innovation that is utilized to spot and distinguish human appearances in computerized pictures. Programming and particular calculations are utilized to build up the presence, area, size and different points of interest of a human face in a photo or video or some other picture. The product has the capacity to separate between the facial elements of the individual and other foundation objects.

Go along with this online course to figure out how to distinguish and separate appearances from pictures utilizing the Hadoop MapReduce structure. Hadoop MapReduce is a standout amongst the most sought after programming models that attempts to actualize preparing and producing tremendous information sets with parallel and appropriated calculations on a bunch. A MapReduce program basically comprises of a Map, the methodology that channels and sorts information, and a Reduce, which plays out the synopsis operation, along these lines actualizing the MapReduce System foundation or structure that coordinates the information handling by marshaling appropriated servers, running parallel assignments, dealing with all information exchanges between framework parts and minimizing redundancies and issues.

The center of this online course is the anaylsis of unstructured information utilizing the Hadoop Framework. Specifically it will focus on face location by means of Hadoop Framework. The online class will incorporate hypothesis furthermore have a hands-on down to earth session. In this online class will take you through the fundamental parts of Hadoop MapReduce and afterward talk about a portion of the picture handling calculations. It will likewise display a basic model that can be utilized for the recognition, area and extraction of countenances from pictures in the Hadoop Framework with the assistance of particular calculations.

Webinar Details-

Webinar Topic- Face Detection Using Hadoop Mapreduce Framework
 Date:                21 June 2016 at 6:30 Pm (IST)
Register For Webinar- http://goo.gl/2bW2Wk

Read More