Summer Training 2018
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Image Processing using Python and OpenCV with Arduino Integration
Course Duration: 24 - 28 hrs
Suitable For: 2nd Yr / 3rd Yr / 4th Yr B.Tech. / Diploma / MCA / BCA students
Course Objective: Learn about the basics of Image Processing using OpenCV on Python integrate Arduino and its various input/output accessories through practical exercise sessions. You would be able to build interactive hardware based on input from your visual feed, input being color detection/object detection.
Prerequisite: Fundamental knowledge of any programming language is mandatory.
Course Fee: Rs. 4,950/- (including Taxes)
Feature: Free Take Away Kit to each individual Participant
Course Content:
- Module 1 - Introduction to Python
- History & Overview
- Installation & Getting Started
- Basic Syntax and Operators
- Decision Making
- Strings, Lists, Tuples, Dictionary
- Loops
- User defined Functions
- File IO
- Module 2 - Introduction to OpenCV
- About OpenCV
- Installation
- Opencv & Python Integration
- About Images
- Module 3 - Basic operations on Images
- Read & Writing an Image
- Access pixel properties, values & modifying
- Splitting & Merging of image channels
- Arithmetic Operation
- Bitwise Operation
- Module 4 - GUI Features
- Display images in window
- Getting started with video capturing
- Drawing Functions like circle, line, rectangle, polyline
- Plotting functions
- Changing Color Spaces
- Module 6 - Geometric Transforms
- Scaling
- Translation
- Rotation of Image
- Module 7 - Histograms
- About Histogram
- Histogram Calculation
- Histogram Equalization
- Module 8 - Filters
- About Convolution
- Different types of filters like Averaging, Blurring, Gaussian and Median
- Module 9 - Thresholding
- About Thresholding
- Adaptive Thresholding
- Module 10 - Edge Detection
- Different type of edge detection like Canny, Sobel and Laplacian edge detectors.
- Module 11 - Python Arduino Integration
- Arduino Basics
- Arduino I/O Operations
- Arduino Serial Integration
- Arduino I/O activities based on Video Processed Feed
Take Away KIT Content:
- will be updated soon !
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