first commit RGB channels

RGB_channels.py

@@ -0,0 +1,45 @@
+import cv2
+
+
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') 
+image = "frames/frame1.jpg"
+
+def auto_detect(frame):
+	img = cv2.imread(frame)
+	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
+
+	for (x,y,w,h) in faces:
+		# To draw a rectangle in a face 
+		cv2.rectangle(img,(x,y),(x+w,y+h),(255,255,0),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)
+	list_ex = []
+	list_ey = []
+	list_ew = []
+	list_eh = []
+  
+        #To draw a rectangle in eyes
+	for (ex,ey,ew,eh) in eyes:
+		if ew >= 80 and eh >= 80:
+			#cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,127,255),2)
+			list_ex.append(ex)
+			list_ey.append(ey)
+			list_ew.append(ew)
+			list_eh.append(eh)
+
+	#rectangle on forhead
+	fx = min(list_ex) + list_ew[list_ex.index(min(list_ex))]
+	fy = max(list_ey)
+	cv2.rectangle(roi_color, (fx,fy),(fx+100,fy-150),(0,127,255),2)
+
+	imS = cv2.resize(img, (960, 540)) 
+	cv2.imshow('img',imS)
+	cv2.waitKey(0)
+	return
+
+auto_detect(image)
+#get_ROI(image)