def img_process(frame):
#debug
#video_capture = cv2.VideoCapture(0)
#ret, frame = video_capture.read()
#frame = cv2.imread('test2.jpeg')
faces = opencv.detect_faces(frame)
main_rect = (0, 0)
sum_sqr_rect = 0
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
main_rect = (main_rect[0] + x + w/2, main_rect[1] + y + h/2)
sum_sqr_rect += w*h
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
if 0 != len(faces):
main_rect = (main_rect[0]/len(faces),main_rect[1]/len(faces))
else:
return 0
w, h = frame.shape[:2]
return main_rect[0]-h/2, main_rect[1]-w/2, sum_sqr_rect
def process(self, cv_image):
faces = opencv.detect_faces(cv_image)
if len(faces) > 0:
result = json.dumps(faces.tolist())
self.write_message(result)
def process(self, cv_image):
faces = opencv.detect_faces(cv_image)
if len(faces) > 0:
result = json.dumps(faces.tolist())
self.write_message(result)