def create_group_add_person(groupId, groupName):
# Create PersonGroup
result = face_api.createPersonGroup(groupId, groupName, "")
flag_reuse_person_group = False
if (result!=''):
result = eval(result)
if (result["error"]["code"] == "PersonGroupExists"):
del_person_group = raw_input('Delete this PersonGroup? (y/n) ')
if (del_person_group=='y') or (del_person_group=='1'):
print 'PersonGroup exists, deleting...'
res_del = face_api.deletePersonGroup(groupId)
print ('Deleting PersonGroup succeeded' if res_del=='' else 'Deleting PersonGroup failed')
result = face_api.createPersonGroup(groupId, groupName, "")
print ('Re-create PersonGroup succeeded' if res_del=='' else 'Re-create PersonGroup failed')
elif (del_person_group=='n') or (del_person_group=='0'):
# Get PersonGroup training status
res = face_api.getPersonGroupTrainingStatus(groupId)
res = res.replace('null','None')
res_dict = eval(res)
training_status = res_dict['status']
if (training_status=='succeeded'):
flag_reuse_person_group = True
elif (result["error"]["code"] == "RateLimitExceeded"):
print 'RateLimitExceeded, please retry after 30 seconds'
sys.exit()
if not flag_reuse_person_group:
# Create person and add person image
image_paths = [os.path.join(imgPath, f) for f in os.listdir(imgPath)]
nbr = 0
for image_path in image_paths:
nom = os.path.split(image_path)[1].split(".")[0]
if nom not in list_nom:
# Create a Person in PersonGroup
personName = nom
personId = face_api.createPerson(groupId, personName, "")
list_nom.append(nom)
list_personId.append(personId)
nbr += 1
else:
personId = list_personId[nbr-1]
# Add image
face_api.addPersonFace(groupId, personId, None, image_path, None)
print "Add image...", nom, '\t', image_path
time.sleep(0.25)
def create_group_add_person(groupId, groupName):
# Create PersonGroup
result = face_api.createPersonGroup(groupId, groupName, "")
flag_reuse_person_group = False
# if (result!=''):
if ('error' in result):
result = eval(result)
if (result["error"]["code"] == "PersonGroupExists"):
res_train_status = face_api.getPersonGroupTrainingStatus(groupId)
res_train_status = res_train_status.replace('null','None')
res_train_status_dict = eval(res_train_status)
if ('error' not in res_train_status_dict):
createdDateTime = res_train_status_dict['createdDateTime']
year, month, day, hour, mi, sec = convert_datetime(createdDateTime)
structTime = time.localtime()
dt_now = datetime(*structTime[:6])
# Compare if the PersonGroup has expired or not (24 hours)
if (dt_now.year==year):
if (dt_now.month==month):
if (dt_now.day==day):
del_person_group = False
elif (dt_now.day-1==day):
if (dt_now.hour<hour):
del_person_group = False
else:
del_person_group = True
else:
del_person_group = True
else:
del_person_group = True
else:
del_person_group = True
if (del_person_group):
print 'PersonGroup exists, deleting...'
res_del = face_api.deletePersonGroup(groupId)
print ('Deleting PersonGroup succeeded' if res_del=='' else 'Deleting PersonGroup failed')
result = face_api.createPersonGroup(groupId, groupName, "")
print ('Re-create PersonGroup succeeded' if res_del=='' else 'Re-create PersonGroup failed')
flag_reuse_person_group = False
elif (not del_person_group):
# Get PersonGroup training status
training_status = res_train_status_dict['status']
if (training_status=='succeeded'):
flag_reuse_person_group = True
elif (result["error"]["code"] == "RateLimitExceeded"):
print 'RateLimitExceeded, please retry after 30 seconds'
sys.exit()
if not flag_reuse_person_group:
# Create person and add person image
image_paths = [os.path.join(imgPath, f) for f in os.listdir(imgPath)]
nbr = 0
for image_path in image_paths:
nom = os.path.split(image_path)[1].split(".")[0]
if nom not in list_nom:
# Create a Person in PersonGroup
personName = nom
personId = face_api.createPerson(groupId, personName, "")
list_nom.append(nom)
list_personId.append(personId)
nbr += 1
else:
personId = list_personId[nbr-1]
# Add image
face_api.addPersonFace(groupId, personId, None, image_path, None)
print "Add image...", nom, '\t', image_path
time.sleep(0.25)
def create_group_add_person(groupId, groupName):
# Create PersonGroup
result = face_api.createPersonGroup(groupId, groupName, "")
flag_reuse_person_group = False
# if (result!=''):
if ('error' in result):
result = eval(result)
if (result["error"]["code"] == "PersonGroupExists"):
res_train_status = face_api.getPersonGroupTrainingStatus(groupId)
res_train_status = res_train_status.replace('null','None')
res_train_status_dict = eval(res_train_status)
print res_train_status
if 'error' not in res_train_status_dict:
createdDateTime = res_train_status_dict['createdDateTime']
year, month, day, hour, mi, sec = convert_datetime(createdDateTime)
structTime = time.localtime()
dt_now = datetime(*structTime[:6])
# Compare if the PersonGroup has expired or not (24 hours)
if (dt_now.year==year):
if (dt_now.month==month):
if (dt_now.day==day):
del_person_group = False
elif (dt_now.day-1==day):
if (dt_now.hour<hour):
del_person_group = False
else:
del_person_group = True
else:
del_person_group = True
else:
del_person_group = True
else:
del_person_group = True
if (del_person_group):
print 'PersonGroup exists, deleting...'
res_del = face_api.deletePersonGroup(groupId)
print ('Deleting PersonGroup succeeded' if res_del=='' else 'Deleting PersonGroup failed')
result = face_api.createPersonGroup(groupId, groupName, "")
print ('Re-create PersonGroup succeeded' if res_del=='' else 'Re-create PersonGroup failed')
flag_reuse_person_group = False
elif (not del_person_group):
# Get PersonGroup training status
training_status = res_train_status_dict['status']
if (training_status=='succeeded'):
flag_reuse_person_group = True
elif (result["error"]["code"] == "RateLimitExceeded"):
print 'RateLimitExceeded, please retry after 30 seconds'
sys.exit()
if not flag_reuse_person_group:
# Create person and add person image
image_paths = [os.path.join(imgPath, f) for f in os.listdir(imgPath)]
nbr = 0
for image_path in image_paths:
nom = os.path.split(image_path)[1].split(".")[0]
if nom not in list_nom:
# Create a Person in PersonGroup
personName = nom
personId = face_api.createPerson(groupId, personName, "")
list_nom.append(nom)
list_personId.append(personId)
nbr += 1
else:
personId = list_personId[nbr-1]
# Add image
image_data = get_image_from_github(image_path)
face_api.addPersonFace(groupId, personId, None, None, image_data)
print "Add image...", nom, '\t', image_path
time.sleep(0.25)
xls_filename = 'formation.xls' # Excel file contains Formation information
maxNbOfCandidates = 1 # Maximum number of candidates for the identification
# Natural Language Classifier
natural_language_classifier = NaturalLanguageClassifierV1(
username = '******',
password = '******')
# Training Phase
groupId = "group_all"
groupName = "employeurs"
face_api.deletePersonGroup(groupId)
# Create PersonGroup
result = face_api.createPersonGroup(groupId, groupName, "")
print result
#result = eval(result)
# if result["error"]["code"] == "PersonGroupExists":
# #TODO: change to get personGroup info than delete it
# #face_api.deletePersonGroup(groupId)
# print 'a'
list_nom = []
list_personId = []
nbr = 0
image_paths = [os.path.join(imgPath, f) for f in os.listdir(imgPath)]
for image_path in image_paths: