def __init__(self):
ext_model_path = './model/facenet/inception-ring-1024.pb'
# self.video_capture = cv2.VideoCapture(camera_Id)
# self.video_capture = cv2.VideoCapture(HKcam)
# self.is_camera_on = True
self.id_image = None
self.id_image2 = None
self.id_image1_2 = None
# self.probe_image = None
self.ID_label = 0
self.count = 0
self.ID_lib = {}
self.ID_name = {}
self.feature_data = None
self.index_dict = None
self.unknownum = 0 # 10秒内未知人员数
self.knownum = 0 # 10秒内已知人员数
self.unknown_feature_read()
self.naivedlib = NaiveDlib()
self.extractor = Extractor(ext_model_path, gpu_fraction=0) # gpu_fraction显存占用比例
temp = np.ones((5, 112, 96, 1))
self.extractor.extract_feature(im_arr=temp)
self.query = deque(maxlen=2)
self.search_train()
def __init__(self):
self.ext_model_path = './model/facenet/inception-ring-1024.pb'
self.feature_path_enter = './data/database_enter.npy'
self.index_path_enter = './data/index_enter.pkl'
self.image_path_enter = feature_pic_path_enter
self.feature_data = np.asarray([]) # 转换为矩阵形式
self.index_dict = {}
self.naivedlib = NaiveDlib()
self.extractor = Extractor(self.ext_model_path, gpu_fraction=0.5)
def __init__(self):
ext_model_path = './model/facenet/inception-ring-1024.pb'
#self.video_capture = cv2.VideoCapture(camera_Id)
#self.video_capture = cv2.VideoCapture(HKcam)
self.is_camera_on = True
self.id_image = None
self.id_image2 = None
self.id_image1_2 = None
self.probe_image = None
self.ID_label = 0
self.count = 0
self.ID_lib = {}
self.ID_name = {}
self.feature_data = None
self.index_dict = None
self.unknownum = 0 #当天未知人员总数
self.knownum = 0
#self.unknownfeature = np.asarray([]) #当天保存的未知访客的特征
self.datetime = datetime.now().strftime('%Y_%m_%d')
self.unknown_feature_read()
#self.persontime = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
self.naivedlib = NaiveDlib()
self.extractor = Extractor(ext_model_path, gpu_fraction=0)#gpu_fraction显存占用比例
temp = np.ones((5, 112, 96, 1))
self.extractor.extract_feature(im_arr=temp)
self.query = deque(maxlen=2)
self.search_train()
self.start()
self.start_verify()
from datetime import datetime , timedelta
#import wmi
#import hashlib
import pickle as pkl
from scipy import spatial
import dlib
import time
app = Flask(__name__)
init_fea = Feature_Init()
naivedlib = NaiveDlib()
extractor = Extractor(ext_model_path, gpu_fraction=0)
thresh = 0.55
global feature_change
def create_tables(dbname): #创建表person_info
conn = pymysql.connect(host = 'localhost',
port = 3306,
user = '******',
passwd = '1234567',
db="face_info",
charset='utf8'
)
c = conn.cursor()
try: