Added files via upload

face_detect.py

@@ -1,4 +1,47 @@
-""" Experiment with face detection and image filtering using OpenCV """
+""" Anna Buchele
+	This program takes your webcam footage, blurs out your face, replaces it with a smiley face, and then shows you the edited webcam footage. """
 
 import cv2
-import numpy as np
+import numpy as np
+
+face_cascade = cv2.CascadeClassifier('/home/anna/ToolBox-ComputerVision/haarcascade_frontalface_alt.xml')
+
+kernal = np.ones((40,40),'uint8')
+cap = cv2.VideoCapture(0)
+while(True):
+	#frame by frame capture
+	ret, frame = cap.read()
+
+	"""assorted operations on frame:"""
+
+	#turns frame grayscale
+	#gray= cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+	#flips frame upside down
+	#frame=cv2.flip(gray,0)
+
+	#changes size
+	#ret = cap.set(3,320)
+	#ret = cap.set(4,240)
+
+
+	# finds faces
+	faces = face_cascade.detectMultiScale(frame, scaleFactor=1.2, minSize=(20,20))
+	#draw a rectangle around face
+	# for (x, y, w, h) in faces:
+	#   cv2.rectangle(frame,(x,y),(x+w,y+h),(0,0,255))
+	#blurs out faces
+	for (x,y,w,h) in faces:
+		frame[y:y+h,x:x+w,:] = cv2.dilate(frame[y:y+h,x:x+w,:],kernal)
+
+		cv2.circle(frame, ((x+(w/4)),(y+(h/3))), w/12, (200,100,50), thickness=-1, lineType=8, shift=0) 
+		cv2.circle(frame, ((x+(3*w/4)),(y+(h/3))), w/12, (200,100,50), thickness=-1, lineType=8, shift=0) 
+		cv2.ellipse(frame, (x+w/2,y+3*h/4), (w/4,h/4), 180, 180, 360, (255,255,255), -1, 8, 0)
+
+
+	cv2.imshow('frame', frame)
+	if cv2.waitKey(1) & 0xFF == ord('q'):
+		break
+#releasing the capture
+cap.release()
+cv2.destroyAllWindows()