Trendlist: OpenCV for Beginners : Curriculum

Saturday, May 15, 2021

OpenCV for Beginners : Curriculum

Hello trend,

This is Satya Mallick from LearnOpenCV.com.

The Kickstarter campaign for official OpenCV for Beginners course is going live on May 18, 2021. We already have 1356 followers on the project who are waiting eagerly!

In this email, I will go over the curriculum, but let me first explain our thought process that lead to the creation of this course.

If you are not interested in receiving notifications about this Kickstarter campaign, you can opt out with a single click on the link below.

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Short, Fun, and Affordable

When we created the first three official AI courses by OpenCV.org, our goal was to cover a lot of breadth and depth with focus on real world applications. These courses are comprehensive and most students spend 3-5 months per course. After taking the three courses, you learn more computer vision and machine learning than most Masters level courses in top universities. Our existing courses will also be available at a significant discount during the Kickstarter campaign.

The new course, OpenCV for Beginners, is short, fun, and affordable.

You will be able to complete the course in a month and graduate with a broad knowledge of computer vision and AI, and the confidence that comes by solving real world problems. We will explain algorithms and techniques in a fun way with examples but leave out excruciating mathematical details.

And the price? I would like say the price is pure Gold, but the truth is that the price is pure Silver!

Applications

Here are a few applications you will build as part of the course -

Creating Watermarks
Creating flawless Digital Signature / Digitizing your Signature for signing PDF documents
Home Surveillance & Intruder Detection
Building Web Applications using Streamlit
Automatic Lane Detection
Augmented Reality using Aruco Markers
Image Restoration using Inpainting
Document Alignment
Creating Panoramas using Image Stitching
Implement Similar Image Search ( like Google image search )
Object Tracking from in Videos ( for example Drone Footage )
Deforestation Analysis using Satellite Imagery from Google Earth
Face Detection & Blurring for Privacy
Face Clustering and Tagging
Creating Gesture Controlled Gaming Applications
Social Distance Monitor
Text Detection and OCR
Traffic Monitoring and Counting

The Curriculum

To help you build the above applications, we will cover the following material in the course

Getting Started with Images

Image Basics: Reading, Displaying and Writing Images
Working with Video Files: Reading, Displaying and Writing Videos
Color Space Conversion and different color spaces
Basic Image Manipulation: Resize, Crop, Annotation, creating a Region of Interest (ROI)

Basic Image Operations

Mathematical Operations on Images: Brightness and Contrast
Image Thresholding, Bitwise Operations and Masks
Image Blending and the Alpha Channel

Image Enhancement Techniques

Image Filtering using Convolution
Image Blurring, Noise Reduction and Sharpness
Artistic Rendering

Image Analysis

Edge Detection
Hough Transforms
Contour and Shape Detection
Working with different types of image data such as Satellite Imagery

Augmented Reality

Aruco Markers and Augmented Reality
Human-Computer Interaction (HCI) using Gestures

Computational Photography

Image Restoration

Image Retrieval and Object Detection

Finding good Features in images like SIFT, ORB
Image Hashing
Geometric Transformations like Affine Transformation and Homography

Video Processing

Object Tracking
Optical Flow and Motion Estimation

OpenCV DNN Module

OpenCV DNN Inference Module
Face Detection using Deep Learning
Object Detection using Deep Learning
Human Pose Estimation using Deep Learning

Text in Images (OCR)

Text Spotting / Detection using Deep Learning
Text Recognition (OCR) using Deep Learning

Using the OpenCV High-Level GUI for creating applications

Using Mouse and Keyboard with OpenCV

Creating Web Applications using Streamlit

Streamlit Framework for Building Web-based Applications

If you have read so far, I take it that you are interested. To make sure you do not miss out, please visit the link below and click on "Notify me on launch" button on the Kickstarter page.

KICKSTARTER PAGE : OPENCV FOR BEGINNERS