import cv2

image = cv2.imread("cat_04.png")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# load the cat detector Haar cascade, then detect cat faces
# in the input image
detector = cv2.CascadeClassifier("haarcascade_frontalcatface.xml")
#haarcascade_frontalcatface_extended.xml
rects = detector.detectMultiScale(gray, scaleFactor=1.1,
 minNeighbors=10, minSize=(100, 100))
# loop over the cat faces and draw a rectangle surrounding each

print (enumerate(rects))

for (i, (x, y, w, h)) in enumerate(rects):
 cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)
 cv2.putText(image, "Cat #{}".format(i + 1), (x, y - 10),
 cv2.FONT_HERSHEY_SIMPLEX, 0.55, (0, 0, 255), 2)
 print (i, x,y,w,h)
# show the detected cat faces
cv2.imshow("Cat Faces", image)
cv2.waitKey(1)

# import the necessary packages
import argparse
import cv2

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True,

 help="path to the input image")
ap.add_argument("-c", "--cascade", default="haarcascade_frontalcatface_extended.xml", 
 help="path to cat detector haar cascade")

args = vars(ap.parse_args())
#"haarcascade_frontalcatface_extended.xml",

# load the input image and convert it to grayscale
#image = cv2.imread(args["image"])
image = cv2.imread(args["image"])
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# load the cat detector Haar cascade, then detect cat faces

# in the input image
detector = cv2.CascadeClassifier(args["cascade"])
rects = detector.detectMultiScale(gray, scaleFactor=1.1,

 minNeighbors=10, minSize=(120, 120)) # cat good

# loop over the cat faces and draw a rectangle surrounding each
print (enumerate(rects))
for (i, (x, y, w, h)) in enumerate(rects):

 cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)
 cv2.putText(image, "cat #{}".format(i + 1), (x, y - 10),
 cv2.FONT_HERSHEY_SIMPLEX, 0.55, (0, 0, 255), 2)
# show the detected cat faces
cv2.imshow("Cat Faces", image)
cv2.waitKey(0)

cmd
cd E:\WORK\py\detectCat
E:\WORK\py\detectCat>python cat_detector.py --image cat_07.png