def upload(i):
path = '../new_pictures/'
files1 = os.listdir(path)
ntime = time.strftime("%Y/%m/%d %H:%M:%S", time.localtime())
for step in files1:
if step == "1.txt":
continue
split = os.path.splitext(step)
pic_name = split[0]
scaled_arr = []
img = cv2.imread(path + step)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
scaled = cv2.resize(gray, (160, 160), interpolation=cv2.INTER_LINEAR)
scaled.astype(float)
scaled = np.array(scaled).reshape(160, 160, 1)
scaled = embeddings_pre.prewhiten(scaled)
scaled_arr.append(scaled)
feed_dict = {
images_placeholder: scaled_arr,
phase_train_placeholder: False,
keep_probability_placeholder: 1.0
}
#---------------------------------上傳資料庫---------------------------------
x = sess.run(embeddings, feed_dict=feed_dict)
Data = {
"user_name": pic_name + str(i),
"embedding": str(x),
"date": str(ntime)
}
conn = requests.post("http://140.136.150.100/upload.php", data=Data)
#----------------------------------------------------------------------------
print(conn.text)
def save_image(self):
var = self.ui.lineEdit.text()
if self.check == 1:
if var!='':
#save_image前置，先儲存照片在本地
face = self.face
face = cv2.cvtColor(face,cv2.COLOR_BGR2RGB)
face = cv2.resize(face, (160, 160), interpolation=cv2.INTER_CUBIC)
pic_path = "../new_pictures/"+var+".jpg"
cv2.imwrite(pic_path,face)
#跳出註冊提醒視窗
register_dialog = Register_Dialog(var,self.ui.setting_checkBox.isChecked(),self.good_setting,self.none_setting)
#判斷是否第一次註冊
if self.ui.setting_checkBox.isChecked():
#確認是否拍了good跟none兩張照片
btn = register_dialog.buttonBox.button(QDialogButtonBox.Ok)
if self.label_flag == 'good' and self.good_setting == 0:
btn.setEnabled(True)
elif self.label_flag == 'none' and self.none_setting==0:
btn.setEnabled(True)
else:
btn.setEnabled(False)
btn.setStyleSheet('''background-color: #A0A0A0;
color: #C0C0C0''')
result = register_dialog.exec_()
if result == 1:
if self.label_flag == 'good':
self.good_setting = 1
if self.label_flag == 'none':
self.none_setting = 1
#---------------照片上傳雲端--------------------
#Drive_upload(pic_path,var)
#----------------------------------------------
#-----------重新執行特徵分析並上傳資料庫---------
path = '../new_pictures/'
files1 = os.listdir(path)
ntime = time.strftime("%Y/%m/%d %H:%M:%S", time.localtime())
for step in files1:
if step == "1.txt":
continue
split = os.path.splitext(step)
pic_name = split[0]
scaled_arr=[]
img = cv2.imread(path + step)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
scaled =cv2.resize(gray,(160,160),interpolation=cv2.INTER_LINEAR)
scaled.astype(float)
scaled = np.array(scaled).reshape(160, 160, 1)
scaled = embeddings_pre.prewhiten(scaled)
scaled_arr.append(scaled)
feed_dict = { images_placeholder: scaled_arr, phase_train_placeholder:False ,keep_probability_placeholder:1.0}
#---------------------------------上傳資料庫---------------------------------
x = sess.run(embeddings, feed_dict=feed_dict)
Data = {
"user_name" : pic_name,
"embedding" : str(x),
"date" : str(ntime)
}
conn = requests.post("http://140.136.150.100/upload.php", data = Data)
#----------------------------------------------------------------------------
print(conn.text)
#----------------------------------------------
#跳出上傳完成視窗
dialog = Dialog_window()
self.reload()
var = self.ui.lineEdit.setText('')
#用完就刪除照片
if os.path.exists(pic_path):
os.remove(pic_path)