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
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.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
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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.
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
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