# Initialize face recognizer
fr = FaceRecognition(True)
if (not cap.isOpened()):
print "could not open webcam"
else:
print("Warning: face representation are build fresh!!")
print("Train with images from /facedatabase/images/*")
print("ID and names provided by folder name")
fr.svm = None
fr.images = {}
fr.people = {}
fr.learnFromPics()
while 1:
ret, frame = cap.read()
if ret:
rot_frame = cv2.flip(np.rot90(frame,1),1)
identies, confidences, new_frame, caption_frame = fr.processframe(rot_frame)
cv2.imshow('video_realtime',new_frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
print("no frame was received")
break
# Set camera properties
cap.set(cv2.CAP_PROP_FRAME_WIDTH, frame_width)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, frame_height)
cap.set(cv2.CAP_PROP_FPS, fps)
# Create Window for stream display
cv2.namedWindow('video_realtime', cv2.WINDOW_NORMAL)
# Initialize face recognizer
fr = FaceRecognition(True)
if (not cap.isOpened()):
print "could not open webcam"
else:
while 1:
ret, frame = cap.read()
if ret:
identies, confidences, new_frame, cap_image = fr.processframe(
frame)
cv2.imshow('video_realtime', new_frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
print("no frame was received")
break
start_time = time.time()
ret, frame = cap.read()
next_user = current_user
if ret is False:
print("No image")
continue
if FPS_LAST_MAIN != FPS:
print(type(identities_counter))
identities_counter = [i * int(FPS) for i in identities_counter]
to_node("status", identities_counter)
FPS_LAST_MAIN = FPS
# frame = so_controller.getfixedimage()
identities, identities_bb, confidences, new_frame, caption_frame = fr.processframe(
frame)
print(identities_bb)
print(confidences)
dets = []
if identities_bb != []:
for b, conf in zip(identities_bb, confidences):
dets.append(
[b[0], b[1], b[2], b[3],
int(100 * float(confidences[0]))])
trackers = tracker_sort.update(np.asarray(dets))
if identities != []:
if int(max(identities)) + 1 > len(identities_counter):
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, frame_height)
cap.set(cv2.CAP_PROP_FPS, fps)
# Create Window for stream display
cv2.namedWindow('video_realtime', cv2.WINDOW_NORMAL)
# Initialize face recognizer
fr = FaceRecognition(False)
if (not cap.isOpened()):
print("could not open webcam")
else:
while 1:
ret, frame = cap.read()
if ret:
rot_frame = cv2.flip(np.rot90(frame, 1), 1)
identies, identies_bb, confidences, new_frame, cap_image = fr.processframe(
rot_frame)
cv2.imshow('video_realtime', new_frame)
print(str(identies) + " " + str(identies_bb))
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
print("no frame was received")
break