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About Event
 
Image Processing with Python - 23-24 Nov 2018

GENERAL EVENT
Location : CSI Mumbai Chapter
From Date : 23-11-2018 To Date : 24-11-2018
Event Time 9:30:AM    

Speakers

 

Computer Society of India, Mumbai Chapter

Presents

Two days hands on workshop

Image Processing with Python

Date: 23-24 Nov 2018, 9:30 am to 5:30 pm, Mumbai

Introduction

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It 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.

Course Contents

Day1

  • Python Basic
  • Getting Started with Python
  • Python Basics
  • Variables
  • Demonstrating Conditional Statements
  • Demonstrating Loops
  • Python Structures
  • Tuple - properties, related operations, compared with a list
  • List - properties, related operations
  • Dictionary - properties, related operations
  • Set - properties, related operations
  • Introduction to Pandas
  • Knowledge Check
  • Understanding DataFrame
  • View and Select Data Demo
  • Missing Values
  • Data Operations
  • Knowledge Check

Day2

  • Introduction to OpenCV
  • OpenCV with Python
  • Intro and loading Images
  • Loading Video Source
  • Drawing and Writing on Image
  • Image Operations
  • Image arithmetic and Logic
  • Thresholding
  • Color Filtering
  • Blurring and Smoothing
  • Morphological Transformations
  • Canny Edge Detection and Gradients
  • Template Matching
  • GrabCut Foreground Extraction
  • Corner Detection
  • Feature Matching (Homography) Brute Force
  • MOG Background Reduction
  • Haar Cascade Object Detection Face & Eye

Objectives

  • Review the fundamental concepts of a image processing system.
  • Analyze images in the frequency domain using various transforms.
  • Evaluate the techniques for image enhancement.
  • Classify Images.
  • Run Detection Models.

Pre-requisites

Who Should Attend

Basic understanding of Python would be helpful.

Any one who wants to make career in data science

Faculty Profile

Mr. Amitendra Kumar

 

PERSONAL SUMMARY

Amitendra holds an MBA degree from ISCS, Pune. He has 10 years of rich corporate experience in training delivery and analytics product development. He has worked with HDFC bank, Redwood Associates and Analytics Training Institute. He is extremely passionate about analytics and statistical concepts. He has experience of more than 3000 Hrs in training corporate organisations and individuals on different analytical tools such as SAS, Hadoop, R etc. He has also delivered training on Analytics concepts such as forecasting methodologies and segmentation techniques.

 

He has significant experience in developing cutting edge analytics solutions using statistical/ quantitative tools and techniques. The major clientele includes Standard Chartered Bank, MindTree, Genpact, HP, Creamline Dairy Pvt Ltd (Jersey), Jasper Technologies, ACT TV, Beam Tele, Orient Cements, Yash Technologies, GDF SUEZ, TATA Beverages, Doodla Dairy, Meenakshi Energies Pvt Ltd, NIT Warangal, Amex

 

TRAININGS CONDUCTED

Major clients include:

 

HDFC Bank, HP, Standard Chartered Bank, ACT TV, Beam, IBM, Genpact, Holy Merry Business School, Creamline Dairy Products Pvt Ltd, Dialuz Online Ad Services Private Limited, Orient Cements, HP, Mind Tree, GDF Suez, WaterHealth, Yash Technologies, Tata Beverages, Doodla Dairy, Cognizant

 

As part of Redwood Associates, He has conducted workshops at Redwood’s training lab for senior level management and personnel from different organisations like Genpact, Wipro, HP etc.

 

EDUCATIONAL QUALIFICATION

MBA (IT & Marketing): Has completed MBA in IT and Marketing from Indira School Of Career Studies, Pune. Has dual specialization in IT and Marketing.

BSC (Mathematics): Has done graduation from St Andrews College, Gorakhpur with 100% marks in Mathematics.

 

AREA OF EXPERTISE

Statistical Modeling

SAS OLE 9.4

Machine Learning

Python

R Programming

 

PERSONAL SKILLS

System Thinking

Problem Solving

Analytical Skills

 

Contact for Registration

     Registration Fees / Terms & Conditions

Harsh Mane @

CSI Mumbai Chapter

E-217, 2nd Floor, Floral Deck Plaza, MIDC, Near Sunrise Tower, Andheri East, Mumbai – 400093

Tel:022 28235476 / 28235548 / 28235546

Mobile  9819089527,

Email: sunita@events-csi.com / harsh@csimumbai.org

info@csimumbai.org

http://www.csimumbai.org

 

 

-          CSI Member Rs. 10620/-Per Participant  including GST

-          Non CSI Member Rs. 12980/- Per Participant including GST

-          Group discount is available for minimum 5 number of registration.

-          The cheque / DD in favour of "CSI Mumbai Chapter" Payable at Mumbai.

-          The mentioned fees are inclusive of all taxes and charges.

-          Registration fees covers courseware, lunch, Tea/Coffee and CSI Certificate.

-          Payment is to be made in favour of “CSI Mumbai Chapter”, A/c No. 10606576641 payable at State Bank of India, MIDC, Andheri East, Branch, Mumbai-400 093, RTGS/NEFT Code: SBIN0007074, (All Major VISA / Master  Credit / Debit   cards will be accepted.

Participation only through advance registration, (Batch size 20 participants only)

Note - Out station participants need to confirm at least 5 days prior to the commencement of the training

Disclaimer:

This mail is not spam mail and is a genuine communication from Computer Society of India (CSI) Mumbai Chapter to its members and other IT Professionals to inform them about the forthcoming event. If you feel that this mail should not have been sent to you or you want similar communication to be sent to your different e-mail address, please reply to this mail and specify it in the message

     

 


Normal Event Charge : 12980 Rs/-
Event Charge For Early Bird : 12980 Rs/-
Event Charge for Student Member : 10620 Rs/-
Event Charge for CSI Member : 10620 Rs/-
Event Early Bird Days Date : 22-11-2018
Open For : All
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