Project #5 - Image Face Finder

For this project I built a simple but smart program that can recognize faces in images. The program uses CV2 and an xml document to distinguish the faces in any image.

import cv2

face_cascade= cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

img = cv2.imread("People.jpg")

gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray_img, scaleFactor=1.1, minNeighbors=20)

for x, y, w, h in faces:
    img = cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 3)

print(type(faces))
print(faces)

cv2.imshow("Gray", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

Here is what the outcome looks like: