face_detection_using_opencv

import cv2
import sys
# from google.colab.patches import cv2_imshow
# Get user supplied values
imagePath = "https://thumbs.dreamstime.com/b/multiracial-hipster-best-friends-group-having-fun-together-smartphone-modern-technology-interaction-concept-young-people-82139828.jpg" # give the image
cascPath = "haar_face.xml"
# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)
# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Detect faces in the image
faces = faceCascade.detectMultiScale(
 gray,
 scaleFactor=1.1,
 minNeighbors=5,
 minSize=(30, 30),
 flags = cv2.CASCADE_SCALE_IMAGE
)
print("Found {0} faces!".format(len(faces)))
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
 cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

cv2.imshow('img',image)
cv2.waitKey(0)