Vision with openFrameworks

Vision with openFrameworks, available at $29.99, has an average rating of 3.5, with 37 lectures, based on 10 reviews, and has 999 subscribers.

You will learn about work with the best toolkit in C++ i.e openframeworks perform image processing work with video I/O create mind blowing computer vision applications This course is ideal for individuals who are Anyone who wants to learn the most comprehensive toolkit for programming in C++ or Anyone who wants to work with images, video, graphics, networking and computer vision or Anyone who wants to add vision to his applications or Anyone who wants to be a real entrepreneur and create futuristic products It is particularly useful for Anyone who wants to learn the most comprehensive toolkit for programming in C++ or Anyone who wants to work with images, video, graphics, networking and computer vision or Anyone who wants to add vision to his applications or Anyone who wants to be a real entrepreneur and create futuristic products.

Enroll now: Vision with openFrameworks

Summary

Title: Vision with openFrameworks

Price: $29.99

Average Rating: 3.5

Number of Lectures: 37

Number of Published Lectures: 35

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 35

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

work with the best toolkit in C++ i.e openframeworks

perform image processing

work with video I/O

create mind blowing computer vision applications

Who Should Attend

Anyone who wants to learn the most comprehensive toolkit for programming in C++

Anyone who wants to work with images, video, graphics, networking and computer vision

Anyone who wants to add vision to his applications

Anyone who wants to be a real entrepreneur and create futuristic products

Target Audiences

Anyone who wants to learn the most comprehensive toolkit for programming in C++

Anyone who wants to work with images, video, graphics, networking and computer vision

Anyone who wants to add vision to his applications

Anyone who wants to be a real entrepreneur and create futuristic products

Vision with openFrameworks,

openFrameworks is an open source C++ toolkit that assists the creative process by bringing together opensource libraries for graphics, audio/video analysis, image manipulation, computer vision and 3D modeling.

This course aims to teach anyone how to get started with oF and build really awesome applications. Vision with openframeworks is for anyone who wants his applications to see and interact with the real world like living beings. You will learn to create applications for major operating systems and additionally we will be working with the raspberry pi and its camera module, so that you can create mini devices equipped with computer vision and be a real entrepreneur.

We will start off with the

basics of the toolkit i.e openframeworks,

you will work with user interfaces,

video input/output,

basics of image processing down to rgb and hsv channels and histograms.

The prime focus of this course will be on computer vision applications such as

contour detection

color tracking

object detection

face tracking

motion analysis

and many more things.

There will be detailed projects for each and every module and in addition to that we will work with real products to improve your hands on skills.

The ideal student for this course is a programmer who wants to add vision to his applications or an entrepreneur who wants to create a new product or a startup. If you have the basic programming skills and the thirst to learn please join in.

Feel free to check out the course contents and free previews, looking forward to seeing you inside.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Hardware Requirements

Chapter 2: Getting Started

Lecture 1: Install oF on Windows

Lecture 2: Install oF on OSX

Lecture 3: Install oF on Linux

Lecture 4: Setup SD card for raspberry pi

Lecture 5: Install oF on the raspberry Pi

Lecture 6: Install openFrameworks 0.8.4 on debian wheezy installed on your raspberry pi

Lecture 7: Hello World!

Lecture 8: RESOURCE: Code Repository

Chapter 3: oF Internals

Lecture 1: Contents of your oF installation

Lecture 2: Anatomy of your oF project

Lecture 3: Makefiles and config.make

Lecture 4: Addons

Lecture 5: Coding Exercise

Chapter 4: Important Functions

Lecture 1: Program Execution

Lecture 2: Utility Functions

Chapter 5: User Interaction

Lecture 1: Modes of User Interaction

Lecture 2: Example GUI

Lecture 3: GUI code explanation

Lecture 4: Coding Exercise

Chapter 6: Image Processing

Lecture 1: Image Data Types

Lecture 2: Image Processing

Lecture 3: Histogram Equalization

Chapter 7: Video Processing

Lecture 1: Video Player

Lecture 2: Video Player Example

Lecture 3: Video Grabber

Lecture 4: Video Grabber Example

Lecture 5: Interfacing Raspberry Pi Camera Module

Chapter 8: Computer Vision

Lecture 1: Blobs and Conotours

Lecture 2: Object Detection: Template Matching

Lecture 3: Object Detection: Color Tracking

Lecture 4: Object Tracking: Haar Finder

Lecture 5: Background Separation

Lecture 6: Motion Analysis

Instructors

Hasan Ijaz
EmbeddedLance

Rating Distribution

1 stars: 1 votes

2 stars: 2 votes

3 stars: 2 votes

4 stars: 1 votes

5 stars: 4 votes

Frequently Asked Questions

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