def detect_face_with_append(threshold):
memento_obj = memento.Memento()
new_person_counter = 0
last_res = ""
while True:
time.sleep(5)
print("Debug info: Fetch a picture and search for a face...")
res = memento_obj.search_faceset(threshold)
if res == last_res:
print("Debug info: Same as the last one")
continue
else:
if res == "new_face" and new_person_counter < 20:
new_person_counter += 1
new_name = "new_person_" + str(new_person_counter)
URL = URL_PRE + "adding_" + new_name
# post detection result to web server 5 times
for i in range(0, 5):
requests.get(url=URL, params=PARAMS)
print("Debug info: adding_" + new_name)
memento_obj.fetch_images(new_name)
memento_obj.append_faceset(new_name)
URL = URL_PRE + new_name + "_added"
# post detection result to web server 5 times
for i in range(0, 5):
requests.get(url=URL, params=PARAMS)
print("Debug info: " + new_name + "_added")
else:
URL = URL_PRE + res
# post detection result to web server 5 times
for i in range(0, 5):
requests.get(url=URL, params=PARAMS)
print("Debug info: " + res)
last_res = res
def detect_face(threshold):
memento_obj = memento.Memento()
new_person_counter = 0
last_res = ""
while True:
time.sleep(5)
print("Debug info: Fetch a picture and search for a face...")
res = memento_obj.search_faceset(threshold)
if res == last_res:
print("Debug info: Same as the last one")
continue
else:
URL = URL_PRE + res
# post detection result to web server 5 times
for i in range(0, 5):
requests.get(url=URL, params=PARAMS)
print("Debug info: " + res)
last_res = res
def create_snapshot(self):
""" Create a snapshot of the current data, that are defining the petri net, to allow the recreation of a previous state. The data will be cloned to avoid a conflict with references. """
try:
# instantiate an object that will define the snapshot
state = model_state.ModelState()
# check if data are available
if self._data != None and self._data.petri_net_data != None:
# clone data
try:
state.data = self.data.petri_net_data.clone()
except AttributeError:
return
state.position = copy.deepcopy(self.data.get_positions())
# issue with NoneTypes because of this the AttributeError will be chaught
if self.output != None:
try:
# clone output data
state.output = self.output.clone()
except AttributeError:
state.output = None
else:
state.output = None
# check if output arguments are available
if self.output_args != None:
state.output_args = copy.deepcopy(self.output_args)
else:
state.output_args = None
# instantiate an empty memento
m = memento.Memento()
# assign data to memento
m.state = state
# attach memento to container
self._container.add(m)
except TypeError:
pass
def clean_new_images():
memento_obj = memento.Memento()
memento_obj.clean_new_images()
def rollback_faceset():
memento_obj = memento.Memento()
memento_obj.delete_faceset()
memento_obj.create_faceset()
def init_faceset():
memento_obj = memento.Memento()
memento_obj.image_to_token()
memento_obj.set_user_id()
memento_obj.delete_faceset()
memento_obj.create_faceset()