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prog.py
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prog.py
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#To execute program on command line,
#type python prog.py --images <Name of folder containing faces> --cascade <haarcascade_frontalface_default.xml>
import cv2
import sys
import argparse
import imutils #download package from pyimagesearch
from imutils import paths
#imagePath = sys.argv[1]
#cascPath = sys.argv[2]
arg = argparse.ArgumentParser()
arg.add_argument("-i", "--images", required=True, help="path to images folder")
arg.add_argument("-f", "--cascade", required=True, help="path to cascade file")
args = vars(arg.parse_args())
faceCascade = cv2.CascadeClassifier(args["cascade"])
images = list(paths.list_images(args["images"]))
for imagep in images:
image = cv2.imread(imagep)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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)
cv2.imshow("Faces found" ,image)
cv2.waitKey(0)