About This Course

Unlike many Computer Vision courses available online, this hands-on course approaches Computer Vision more practically, experimentally and intuitively. All you need is a working knowledge of the Python programming language. And, if you are not confident about your Python skills, we will direct you to some of the best-curated resources on Python, so that you come up to speed with Python in the shortest possible time.

In short, beginners, coding enthusiasts, start-up owners, Tony Stark fans - everyone is welcome to this introductory course.

Topics to be covered:

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 (resizing, cropping, annotating, creating a Region of Interest)

Basic Image Operations

• Mathematical operations on images (brightness and contrast)
• Image thresholding, bitwise operations and masking
• 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 and detection using Deep Learning
• Text recognition and Optical Character Recognition (OCR) using Deep Learning

Using 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

Ethical And Socially Responsible Ways Of Using OpenCV.