Add face detection feature to your app using this simple code
This post was orignally published in Towards Data Science publication on Medium.
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Face detection is one of the most common applications of Artificial Intelligence. From camera applications in smartphones to Facebook’s tag suggestions, the use of face detection in applications is increasing every single day.
Face detection is the ability of a computer program to identify and locate human faces in a digital image.
With the increasing demand for face detection feature in applications, everyone is looking to use face detection in their application so that they are not left behind in the race.
In this post, I will teach you how to build a face detection program for yourself in less than 3 minutes.
You will need to install the following python libraries if it is not already installed:
opencv-python
cvlibHere is the code to import the required python libraries, read an image from storage and display it.
# import libraries
import cv2
import matplotlib.pyplot as plt
import cvlib as cvimage_path = 'couple-4445670_640.jpg'
im = cv2.imread(image_path)
plt.imshow(im)
plt.show()
The code to detect faces in the loaded image, draw a bounding box around the detected faces and display the final image with detected faces is as follows.
faces, confidences = cv.detect_face(im)# loop through detected faces and add bounding box
for face in faces: (startX,startY) = face[0],face[1]
(endX,endY) = face[2],face[3] # draw rectangle over face
cv2.rectangle(im, (startX,startY), (endX,endY), (0,255,0), 2)# display output
plt.imshow(im)
plt.show()
You have your face detection program ready. It is that simple!
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To know more about cvlib library, you can visit the link below.