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  • You will mastery the OpenCV
  • Object detection from images
  • Object detection from videos
  • Object Detection
  • Learn OpenCV with Python
  • Learn Basic Operations with OpenCV
  • Learn Pixel Data
  • Learn Data Types, Structures, Image Types, Colour Schemas/Channels
  • Learn Pixel Manipulation and Filtering
  • Learn Blur, Dilation and Erosion
  • Learn Scale and Rotate Images and use input videos
  • Learn Segmentation and Binary Images
  • Learn Simple and Adaptive Thresholding
  • Learn Skin Detection
  • Learn Contours and Object Detection
  • Learn Area, Perimeter, Centre and Curvatures
  • Learn Canny Edge Detection
  • Learn Face Detection with OpenCV
  • Learn Template Matching
  • Learn Haar Cascading

 OpenCV is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage then Itseez. The library is cross-platform and free for use under the open-source Apache 2 License.(Wikipedia)


It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography applications, and it powers a lot of cutting-edge tech, including augmented reality and robotics. This course offers Python developers a detailed introduction to OpenCV 3, starting with installing and configuring your Mac, Windows, or Linux development environment along with Python 3. Learn about the data and image types unique to OpenCV, and find out how to manipulate pixels and images. Then comes the real power of OpenCV: object, facial, and feature detection. Learn how to leverage the image-processing power of OpenCV using methods like template matching and machine learning data to identify and recognise features.



  • Introduction to OpenCV

  • Installation & Personalisation

  • Basic operations

  • Pixel Data, Data Types, Structures

  • Pixel manipulation & filtering

  • Object Detection with OpenCV

  • Segmentation & Binary Images

  • Simple & Adaptive Thresholds

  • Contours , Area perimeters, Center & Curvature 

  • Object, Canny Edges Detection

  • Assignments


  • Areas of Application

    • 2D & 3D Toolkits

    • Egomotion Estimation

    • Facial & Gesture recognition

    • Human computer interaction

    • Mobile robotics

    • SFM

    • Motion Tracking

    • Augmented Reality

    • Object Detection

    • Segmentation & Recognition

  • Python
  • Some programming experience
  • Passionate to learn the stuff
  • This course is meant for people with at least some programming experience
  • Who are working in Computer Vision
  • Data Scientist
  • Object Detection
  • Driverless Cars
  • Engineers looking forward to work with driver less cars
  • Have some programming experiences who wants to enter in computer vision and object detection world in data science!
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  • Section 1 : Course Overview 4 Lectures 00:14:57

    • Lecture 1 :
    • Lecture 2 :
    • What you should know?
    • Lecture 3 :
    • Installation and Personalisation
    • Lecture 4 :
    • OpenCV Installation
  • Section 2 : Basic Operations 16 Lectures 00:04:17

    • Lecture 1 :
    • Get Started with OpenCV and Python
    • Lecture 2 :
    • Understanding and Accessibility of Pixel Data
    • Lecture 3 :
    • Data Type and Structures
    • Lecture 4 :
    • Data Types & Structures operate & create metrics or Numpy Arrays
    • Lecture 5 :
    • Image Types and Color Channels - Part-01
    • Lecture 6 :
    • Image Types and Color Channels - Part-02
    • Lecture 7 :
    • Image Types and Color Channels - Part-03
    • Lecture 8 :
    • Pixel manipulation and filtering
    • Lecture 9 :
    • Gaussian Blur, Dilation and Erosion Filter Part-01
    • Lecture 10 :
    • Gaussian Blur, Dilation and Erosion Filter Part-02
    • Lecture 11 :
    • Gaussian Blur, Dilation and Erosion Filter Part-03
    • Lecture 12 :
    • Scale and Rotate Images
    • Lecture 13 :
    • Video Capturing Input
    • Lecture 14 :
    • Image Types and Color Channels - Part-02
    • Lecture 15 :
    • Assignment 01
    • Lecture 16 :
    • Assignment 01 - Solution
  • Section 3 : Object Detection 10 Lectures 00:56:04

    • Lecture 1 :
    • Segmentation and Binary Image
    • Lecture 2 :
    • Simple Thresholding
    • Lecture 3 :
    • Adaptive Thresholding
    • Lecture 4 :
    • Skin Detection
    • Lecture 5 :
    • Contour Object Detection
    • Lecture 6 :
    • Area, Perimeter, Centre and Curvature
    • Lecture 7 :
    • Canny Object Detection
    • Lecture 8 :
    • Object Detection Overview
    • Lecture 9 :
    • Assignment 02 - Object Detection
    • Lecture 10 :
    • Assignment 02 - Object Detection Solution
  • Section 4 : Face and Feature Detection 7 Lectures 00:03:59

    • Lecture 1 :
    • Face and Feature Detection Overview
    • Lecture 2 :
    • Template Matching Overivew
    • Lecture 3 :
    • Application of Template Matching
    • Lecture 4 :
    • Haar Cascading
    • Lecture 5 :
    • Face Detection
    • Lecture 6 :
    • Assignment 03 - Eye Detection
    • Lecture 7 :
    • Assignment 03 - Eye Detection Solution
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A passionate leader with 10+ years of experience, strong tech fundamentals, with an entrepreneurial mindset. I never stop learning new things and brushing up on my skills. I believe in: 1. Teamwork - keep smooth communication, empowerment, problem solution, rapid feedback, develop soft skills, strategic thinking. 2. Result-oriented, data-driven engineering – optimizing the overall flow, for scalability and velocity increase. 3. Product vision, strategy and roadmaps building effectively 4. Building efficient teams across the globe Skilled in agile methodologies(agile/scrum/kanban), project management, software development(web, mobile, data products), and managing simultaneously multiple teams & projects. Strong Research & Development Skills and a positive learning attitude. Extensively worked on JIRA, Wrike, Basecamp, Asana, Trello, MS Project, Google Docs, MS Office. Worked with MS Visual Studio, MS Visual Studio Code, Microsoft Sharepoint, Xcode, Atom, Sublime, R-Studio, VSS, Github, Bitbucket, CICD, Jenkins, Kubernetes, Dockers, Python Scripting, ActiveMQ, RabbitMQ, OP5 monitor plugins, Kafka, REST API, FastAPI, Servereless, Lambda, NewRelic, Object Detection using Tensorflow, OpenCV and Pre & Post trained models. Performed data analysis using R and built custom dashboards using shiny apps. Worked on Google Cloud, AWS, and MS Azure cloud computing platforms. Worked on marketing & strategy solutions Adjust, CleverTap, Moengage and Mixpanel. Got Microsoft, Oracle, Oracle E-Business Suite R12, IBM Blockchain, and internal coding standards certificates. Managed 120+ resources team and worked with clients like : Rocket Internet, Jeeny, Etisalat, Dubai RTA, Emirates Post, Ajman Free Zone, IACAD, Salesforce, US Census Bureau, PTCL & Microsoft Surface, 401kplans and delivered the projects successfully within the time frame, budget & quality.
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