This tutorial will introduce you to the concept of object detection in Python using the OpenCV library and how you can utilize it to perform tasks like Facial detection.
Introduction
Face detection is a computer vision technology that helps to locate/visualize human faces in digital images. This technique is a specific use case of object detection technology that deals with detecting instances of semantic objects of a certain class (such as humans, buildings or cars) in digital images and videos. With the advent of technology, face detection has gained a lot of importance especially in fields like photography, security, and marketing.
Pre-requisites
Hands-on knowledge of Numpy and Matplotlib is essential before working on the concepts of OpenCV. Make sure that you have the following packages installed and running before installing OpenCV.
- Python
- Numpy
- Matplotlib
Table of Contents
- OpenCV-Python
- 1.Overview
- 2.Installation
2. Images as Arrays
- Binary Image
- Grayscale Image
- Colored Image
3. Images and OpenCV
- Importing Images in OpenCV
- Savings images
- Basic Operations on Images
4. Face Detection
- Overview
- Haar feature-based cascade classifiers
- Face Detection with OpenCV-Python
5. Conclusion
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