FACE DETECTION IN IMAGE FILE USING PYTHON

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# Face detection in a image file
import cv2

# trained dataset (from github)
trained_dataset = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# read image
img = cv2.imread('images/multiface.jpg')

# convert colour img to grayscale img
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# getting values of x-axis, y-axis, width, height
faces = trained_dataset.detectMultiScale(gray_img)
""" print(faces) -> return values of x-axis, y-axis, width, height """

# creating rectangle around the face
for x, y, w, h in faces:
    cv2.rectangle(img, (x, y), (x+w, y+h), (0, 0, 255), 2)
    
# show image
cv2.imshow("Face Detected", img)
cv2.waitKey()

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