Computer Vision Applications using OpenCV

Detect a Face Using Haar Cascades you own this product

This project is part of the liveProject series Computer Vision Applications using OpenCV
prerequisites
basics of Python • basics of OpenCV
skills learned
reading and writing videos • using a Haar Cascade Classifier for face detection
Vishwesh Shrimali
1 week · 3-6 hours per week · INTERMEDIATE
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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.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

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When you start your liveProject, you get full access to the following books for 90 days.

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
  • Basics of OpenCV

you will learn

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

  • Reading and writing videos
  • Using Haar Cascade Classifier for face detection
  • Detect a face using Haar Cascades

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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.

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