Extract Faces From Image OpenCV Python With Source Code

Extract Faces From Image OpenCV Python With Source Code

The Extract Faces From Image OpenCV Python was developed using Python OpenCV, This Python OpenCV Project With Source Code, Images make up a large amount of the data that gets generated each day, which makes the ability to process these images important. One method of processing images is via face detection. Face detection is a branch of image processing that uses machine learning to detect faces in images.

A OpenCV Extract Faces Python you will use a pre-trained Haar Cascade model from OpenCV and Python to detect and extract faces from an image. OpenCV is an open-source programming library that is used to process images.

Haar Cascade is an object detection method used to locate an object of interest in images. The algorithm is trained on a large number of positive and negative samples, where positive samples are images that contain the object of interest. Negative samples are images that may contain anything but the desired object. Once trained, the classifier can then locate the object of interest in any new images.

What is OpenCV?

OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library. This library is capable of processing real-time image and video while also boasting analytical capabilities. It supports the Deep Learning frameworks.

In this Python OpenCV Project also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading.

By the way if you are new to python programming and you don’t know what would be the the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you. I also have here How to Download and Install Latest Version of Python on Windows.

To start executing Extract Faces From Image OpenCV Python With Source Code, make sure that you have installed Python 3.9 and PyCharm in your computer.

Extract Faces From Image OpenCV Python With Source Code : Steps on how to run the project

Time needed: 5 minutes.

These are the steps on how to run Extract Faces From Image OpenCV Python With Source Code

  • Step 1: Download the given source code below.

    First, download the given source code below and unzip the source code.
    Extract Faces OpenCV download source code

  • Step 2: Import the project to your PyCharm IDE.

    Next, import the source code you’ve download to your PyCharm IDE.
    Extract Faces OpenCV open project

  • Step 3: Run the project.

    last, run the project with the command “py main.py”
    Extract Faces OpenCV run project

Installed Libraries

Complete Source Code

Output

Extract Faces From Image OpenCV Python Output
Extract Faces From Image OpenCV Python Output

Extract Faces From Image OpenCV Python : Project Information

Project Name:Extract Faces From Image OpenCV Python
Language/s Used:Python OpenCV
Python version (Recommended):3.8
Database:None
Type:Deep Learning
Developer:IT SOURCECODE
Updates:0
Extract Faces From Image OpenCV Python – Project Information

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Download Source Code below

Anyway, if you want to level up your programming knowledge, especially Python OpenCV, try this new article I’ve made for you Best OpenCV Projects With Source Code For Beginners 2021.

Conclusion

In this article, you know on how to wrote a script that uses OpenCV and Python to detect, count, and extract faces from an input image. You can update this script to detect different objects by using a different pre-trained Haar Cascade from the OpenCV library, or you can learn how to train your own Haar Cascade.

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