def show_max_window(self):
while True:
frame = self.tcp.frame.copy()
face_detect_bool = self.face_detect_flag.get()
face_save_bool = self.face_save_flag.get()
# detect the face and label
if face_detect_bool:
self.face_detector.detect_face(frame)
face_list = self.face_detector.get_face_list()
if len(face_list) > 0:
for face in face_list:
Drawer.label_face(frame, face.get_rect())
# save face(s)
if face_save_bool is True:
self.save_face(self.tcp.frame, face.get_rect())
else:
if face_save_bool:
msg.showwarning(
"Warning",
"Open Face Detection before save face image!")
self.face_save_flag.set(False)
# Write Text on the frame
localtime = time.asctime(time.localtime(time.time()))
width = frame.shape[0]
cv2.putText(frame, localtime, (int(0.9 * width), 20),
cv2.FONT_HERSHEY_SIMPLEX, 0.4, (0, 255, 0))
if face_detect_bool is True:
cv2.putText(frame, "Face Detection: True",
(int(0.9 * width), 35), cv2.FONT_HERSHEY_SIMPLEX,
0.4, (0, 255, 0))
else:
cv2.putText(frame, "Face Detection: False",
(int(0.9 * width), 35), cv2.FONT_HERSHEY_SIMPLEX,
0.4, (0, 0, 255))
if face_save_bool is True:
cv2.putText(frame, "Face Save : True",
(int(0.9 * width), 50), cv2.FONT_HERSHEY_SIMPLEX,
0.4, (0, 255, 0))
else:
cv2.putText(frame, "Face Save : False",
(int(0.9 * width), 50), cv2.FONT_HERSHEY_SIMPLEX,
0.4, (0, 0, 255))
cv2.imshow("Split@Monitor %d" % (self.idx + 1), frame)
if cv2.waitKey(1) == ord('q'):
cv2.destroyAllWindows()
break
