Update app.py

app.py

@@ -8,9 +8,8 @@ import json
 import cv2
 import numpy as np
 from PIL import Image
-
-from fr.engine.header import *
-from fl.engine.header import *
+from fr.engine.header as fr_header
+from fl.engine.header as fl_header
 
 css = """
 .example-image img{
@@ -100,7 +99,7 @@ def activate_fr_sdk():
     if fr_key is None:
         print_warning("Recognition online license key not found!")
     else:
-        ret = fr.engine.header.init_sdk(fr_dict_path.encode('utf-8'), fr_key.encode('utf-8'))
+        ret = fr_header.init_sdk(fr_dict_path.encode('utf-8'), fr_key.encode('utf-8'))
 
     if ret == 0:
         print_log("Successfully init FR SDK!")
@@ -117,7 +116,7 @@ def activate_fl_sdk():
     if fl_key is None:
         print_warning("Liveness Detection online license key not found!")
     else:
-        ret = fl.engine.header.init_sdk(fl_dict_path.encode('utf-8'), fl_key.encode('utf-8'))
+        ret = fl_header.init_sdk(fl_dict_path.encode('utf-8'), fl_key.encode('utf-8'))
 
     if ret == 0:
         print_log("Successfully init FL SDK!")
@@ -460,7 +459,7 @@ def compare_face(frame1, frame2):
     image_mat1 = cv2.imdecode(np.frombuffer(image1.read(), np.uint8), cv2.IMREAD_COLOR)
     image_mat2 = cv2.imdecode(np.frombuffer(image2.read(), np.uint8), cv2.IMREAD_COLOR)
     start_time = time.time()
-    result, score, face_bboxes, face_features = compare_face(image_mat1, image_mat2, float(threshold))
+    result, score, face_bboxes, face_features = fr_header.compare_face(image_mat1, image_mat2, float(threshold))
     end_time = time.time()
     process_time = (end_time - start_time) * 1000