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.
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 using binary logic
Basics of OpenCV
Reading and writing images using OpenCV
Displaying images using OpenCV
Colorspaces in OpenCV
TECHNIQUES
Bitwise operations
features
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