diff --git a/face_detect.py b/face_detect.py
index 247a4d1..05400d7 100755
--- a/face_detect.py
+++ b/face_detect.py
@@ -1,4 +1,28 @@
 """ Experiment with face detection and image filtering using OpenCV """
 
 import cv2
-import numpy as np
\ No newline at end of file
+import numpy as np
+
+
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
+img = cv2.imread("img1.jpg")
+gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+faces=face_cascade.detectMultiScale(gray,1.3,5)
+
+
+kernel = np.ones((50,50),"uint8")
+
+for (x,y,w,h) in faces:
+    print x
+    print y
+    print w
+    print h
+    img[y:y+h,x:x+w] = cv2.dilate(img[y:y+h,x:x+w],kernel)
+    cv2.rectangle(img,(x,y),(x+w,y+h),(0,0,255))
+    cv2.circle(img,(x+w/3,y+h/3),(w+h)/20,(0,0,255),-1,8)
+    cv2.circle(img,(int(4*(x+w)/5),y+h/3),(w+h)/20,(0,0,255),-1,8)
+    cv2.circle(img,((x+(x+w)/2),int(4*(y+h)/5)),(h+w)/15,(255,0,0),-1,8)
+
+cv2.imshow("img",img)
+cv2.waitKey(0)
+cv2.destroyAllWindows()