Count the number of faces in an image using OpenCV in Python

By Debanjan Jash

Using this project we can detect the number of faces in an image by using OpenCV in python.

To count the number of faces in an image using OpenCV in Python, one can utilize the OpenCV library. Using OpenCV we can count the number offices in an image.

Here I try to mention the steps.

1) Install OpenCV- First of all install the OpenCV library by running the command in your Python terminal.

2) Import necessary libraries- Now we should import the necessary libraries.

3) Load the face cascade classifier- Now load the face cascade classifier using the cv2.CascadeClassifier class. 

4) Read and preprocess the image- Then read the input image using cv2.imread() and convert it to grayscale using cv2.cvtColor().

5) Detect faces in the image- By using the detectMultiScale() function of the face cascade classifier to detect faces within the grayscale image.

6) Count and display the number of faces- Last of all get the count of detected faces and display it.

One can follow the steps to count the number of faces in an image using OpenCV in Python.