Initial scan

scan_faces.py

@@ -0,0 +1,44 @@
+import io
+import picamera
+import cv2
+import numpy as np
+import datetime
+import time
+
+
+camera = picamera.PiCamera()
+camera.resolution = (1280, 720)
+
+#~ /usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml (~22sec)
+#~ /usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml (>25sec)
+#~ /usr/share/opencv/haarcascades/haarcascade_frontalface_alt2.xml (~21sec)
+#~ /usr/share/opencv/haarcascades/haarcascade_frontalface_alt_tree.xml (~14sec, seems to miss many faces)
+classifier = cv2.CascadeClassifier('/usr/share/opencv/haarcascades/haarcascade_frontalface_alt2.xml')
+
+FPS = 1.0
+frameTimeDelta = datetime.timedelta(seconds=1.0/FPS)
+
+while True:
+	print(time.time(),"GO")
+	start = datetime.datetime.utcnow()
+	stream = io.BytesIO()
+	camera.capture(stream, format='jpeg')
+	print(time.time(),"captured")
+	buff = np.fromstring(stream.getvalue(), dtype=np.uint8)
+	image = cv2.imdecode(buff,1)
+	gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+	print(time.time(),"grayed")
+	faces = classifier.detectMultiScale(gray, 1.2, 5, minSize=(30,20))
+	
+	print(time.time(),"Found {} faces".format(len(faces)))
+	
+	end = datetime.datetime.utcnow()
+	if end - start < frameTimeDelta:
+		
+		waitTime = frameTimeDelta - (end-start)
+		print("wait {}".waitTime.total_seconds())
+		time.sleep(waitTime.total_seconds())
+	
+		
+	
+