Computer Vision Applications using OpenCV

Create a Color Blender you own this product

This free project is part of the liveProject series Computer Vision Applications using OpenCV
prerequisites
basics of Python • basics of NumPy • basics of OpenCV
skills learned
creating NumPy arrays • displaying images using OpenCV • using mouse events and flags to track user's activity on display window • handling keyboard input
Vishwesh Shrimali
1 week · 3-6 hours per week · BEGINNER
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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.

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.

prerequisites

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

TOOLS
  • Basics of Python
  • Basics of NumPy
    • Creating NumPy arrays
    • NumPy array datatypes
    • Extracting values from NumPy array
  • Basics of OpenCV
    • Reading and writing images using OpenCV
    • Colorspaces in OpenCV

you will learn

In this liveProject you’ll learn essential OpenCV skills for developing useful computer vision applications.

  • Creating NumPy arrays
  • Displaying images using OpenCV
  • Using mouse events and flags to track user's activity on display window
  • Handling keyboard input

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
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