I am having problems getting face detection and cropping an image to the face working, below is my code.
import cv2
class Crop:
#constructor
def __init__(self, image):
self.data = image
def facechop(self):
# read xml for training data
facedata = "haarcascade_frontalface_default.xml"
cascade = cv2.CascadeClassifier(facedata)
# read image file
img = cv2.imread(self.data, 0)
minisize = (img.shape[1], img.shape[0])
miniframe = cv2.resize(img, minisize)
faces = cascade.detectMultiScale(miniframe)
for f in faces:
x, y, w, h = [ v for v in f ]
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 255, 255))
sub_face = self.data[y:y + h, x:x + w]
# Show picture
cv2.imshow('img', sub_face)
return
input image file
picture = 'izz.jpg'
pic = Crop(gambar)
pic.facechop()
# keyboard input to destroy the window
while(True):
key = cv2.waitKey(0)
if key in [27, ord('Q'), ord('q')]:
break
when it's running, it doesn't do raw after for
function till sub_face = self.data[y:y + h, x:x + w]
. It directly goes to cv2.imshow('img', sub_face)
. So, sub_face
is not known. Why does it not work well?
I'm using Aptana to debug it. Thank you.