Computer Vision Applications using OpenCV

In this series of liveProjects, you’ll master the powerful open-source computer vision library OpenCV by creating five separate and fully functional projects. Each project covers a new usage of OpenCV, building in complexity from background creation all the way to facial detection.

These projects are designed for learning purposes and are not complete, production-ready applications or solutions.

here's what's included

Project 1: Create a Color Blender
In this quick liveProject, you’ll build a custom graphic design tool that can generate a matching RGB color palette for a chosen color. You’ll create a blank canvas using NumPy arrays, display images using OpenCV, track a user’s activity with mouse events and flags, and also handle keyboard input.
$29.99 $19.49
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Project 2: Apply a Face Mask to a Selfie
In this quick liveProject, you’ll develop a selfie enhancement application to build awareness of the importance of mask-wearing during a pandemic. You’ll use a laptop webcam to capture a user’s selfie, load a face mask image with a transparent background, and apply the face mask onto the image at the location selected by the user.
$29.99 $19.49
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Project 3: Add Background to a Green Screen Video
In this quick liveProject, you’ll develop a low-resource way to add a background to a green screen video using thresholding. You’ll read the frames of a green screen video, perform thresholding to separate the green screen background, apply the new background image, and write the revised frames to a new video.
$29.99 $19.49
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Project 4: Detect a Face Using Haar Cascades
Welcome to the era of digital security! In this quick liveProject, you’ll develop an efficient solution for detecting faces in a live video stream. You’ll need to read an input video from a webcam, detect faces present in the input video stream, draw bounding boxes around the detected faces, and then write the detected faces to a new video.
$29.99 $19.49
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Project 5: Detect Eyes Using Haar Cascades and Hough Transformation
In this liveProject, you’ll upgrade facial recognition security to more complex iris recognition. You will read an image, draw bounding boxes around the detected eyes and detect the circular eye area region, then save the output image.
$29.99 $19.49
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project author

Vishwesh Shrimali
Vishwesh Ravi Shrimali is an AI and computer vision engineer with a mechanical engineering background. In his previous company, he was involved in developing the official OpenCV AI course series. He has also written multiple books on OpenCV and machine learning. He has recently joined Mercedes Benz R&D India as an engineer in the ADAS domain. He is also pursuing his master's in ML & AI from LJMU.


These liveProjects are for aspiring OpenCV developers with some knowledge of Python. To begin these liveProjects, you will need to be familiar with:

  • Basics of Python
  • Basics of OpenCV
  • Basics of NumPy and pandas
  • Basics of Bitwise operations

you will learn

In these liveProjects, you’ll learn essential OpenCV skills for developing useful computer vision applications.

  • Capturing mouse and keyboard input
  • Creating and modifying new/existing images
  • Displaying images using OpenCV
  • Using NumPy with OpenCV for changing pixel values in an image
  • Using Haar Cascade classifier for face and eye detection
  • Using Hough circle transform for circle detection


You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
includes 5 liveProjects
liveProject $49.99 $79.99 self-paced learning