face_datect.py

import cv2
import sys
import time

# Get user supplied values
imagePath = sys.argv[1]
cascPath = "haarcascade_frontalface_default.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.cv.CV_HAAR_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)


now = time.strftime("%c")
## date and time representation
print "Current date & time " + time.strftime("%c")

## Only date representation
print "Current date "  + time.strftime("%x")

## Only time representation
print "Current time " + time.strftime("%X")

## Display current date and time from now variable
print ("Current time %s"  % now )
print(len(faces))
cv2.imshow("Faces found", image)
cv2.waitKey(0)