def process(self, stream):
start_time = time.time()
image = cv2.imdecode(np.fromstring(stream.getvalue(), dtype=np.uint8), 1)
if(self.sizes_calculated == False):
self.calculate_sizes(image)
faceRects = self.faces(image)
for (x, y, w, h) in faceRects:
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
if (len(faceRects) > 0):
(x, y, w, h) = faceRects[0]
self.move(x + (w/2))
else:
print("no faces found")
gopigo.stop()
print(time.time() - start_time)
#pdb.set_trace()
cv2.line(image, (self.segment_detector.left_cutoff, 0), (self.segment_detector.left_cutoff, self.height), (255, 0, 0), 1)
cv2.line(image, (self.segment_detector.right_cutoff, 0), (self.segment_detector.right_cutoff, self.height), (255, 0, 0), 1)
return cv2.imencode('.jpg', image)[1].tostring()
def test_stop(self):
gopigo.stop()
