First of all you have to install the prerequisite software as described in this post.
Download the PyFaceRec repository in a directory of your choice. In the examples we assume you have downloaded it into C:\PyFaceRec.
The example described here is located in the SimpleFaceDetection folder and automatically identifies faces in a picture of the famous pop group Abba.
Open a command Prompt, move into the SimpleFaceDetection folder an run the sample script as follows.
cd C:\PyFaceRec\SimpleFaceDetection python simple_face_detection.py
You should get an output like this.
The source is quite self-explanatory.
# Import the OpenCV library import cv2 # Load the sample image image = cv2.imread('data/abba.jpg') # Load the OpenCV classifier to detect faces faceCascade = cv2.CascadeClassifier('data/haarcascade_frontalface_default.xml') # Detect faces in the image faces = faceCascade.detectMultiScale( image, scaleFactor=1.2, minNeighbors=5, minSize=(50, 50) ) # The faces variable now contains an array of Nx4 elements # where N is the number faces detected print("Found", len(faces), "faces") # Draw a rectangle around each face for (x, y, w, h) in faces: cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2) # Display the image cv2.imshow("Faces found", image) # Wait for any key before exiting cv2.waitKey(0)