Circular facial recognition with eye recognition.

Haar cascade of eye and face detection.py

@@ -0,0 +1,35 @@
+import numpy as np
+import cv2
+
+face_cascade=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+eye_cascade=cv2.CascadeClassifier('haarcascade_eye.xml')
+
+cap=cv2.VideoCapture(0)
+
+while True:
+    ret,img=cap.read()
+    gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+    faces = face_cascade.detectMultiScale(gray,1.3,5)
+    for (x,y,w,h) in faces:
+        cx=int(x+(w/2))
+        cy=int(y+(h/2))
+        if(w>h):
+            cv2.circle(img,(cx,cy),(int(w/2)),(0,0,255),2)
+        else:
+            cv2.circle(img,(cx,cy),(int(h/2)),(0,0,255),2)
+        roi_gray=gray[y:y+h,x:x+w]
+        roi_color=img[y:y+h,x:x+w]
+
+        eyes=eye_cascade.detectMultiScale(roi_gray)
+
+        for (ex,ey,ew,eh) in eyes: 
+            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(50,33,100),2)
+
+    cv2.imshow('img',img)
+    k=cv2.waitKey(30) & 0xFF
+    if k ==27:
+        break
+cap.release()
+cv2.destroyAllWindows()
+
+