hassan526 commited on
Commit
578f6c4
·
verified ·
1 Parent(s): 697d223

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -6
app.py CHANGED
@@ -8,9 +8,8 @@ import json
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  import cv2
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  import numpy as np
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  from PIL import Image
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-
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- from fr.engine.header import *
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- from fl.engine.header import *
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  css = """
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  .example-image img{
@@ -100,7 +99,7 @@ def activate_fr_sdk():
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  if fr_key is None:
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  print_warning("Recognition online license key not found!")
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  else:
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- ret = fr.engine.header.init_sdk(fr_dict_path.encode('utf-8'), fr_key.encode('utf-8'))
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  if ret == 0:
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  print_log("Successfully init FR SDK!")
@@ -117,7 +116,7 @@ def activate_fl_sdk():
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  if fl_key is None:
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  print_warning("Liveness Detection online license key not found!")
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  else:
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- ret = fl.engine.header.init_sdk(fl_dict_path.encode('utf-8'), fl_key.encode('utf-8'))
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  if ret == 0:
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  print_log("Successfully init FL SDK!")
@@ -460,7 +459,7 @@ def compare_face(frame1, frame2):
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  image_mat1 = cv2.imdecode(np.frombuffer(image1.read(), np.uint8), cv2.IMREAD_COLOR)
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  image_mat2 = cv2.imdecode(np.frombuffer(image2.read(), np.uint8), cv2.IMREAD_COLOR)
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  start_time = time.time()
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- result, score, face_bboxes, face_features = compare_face(image_mat1, image_mat2, float(threshold))
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  end_time = time.time()
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  process_time = (end_time - start_time) * 1000
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  import cv2
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  import numpy as np
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  from PIL import Image
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+ from fr.engine.header as fr_header
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+ from fl.engine.header as fl_header
 
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  css = """
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  .example-image img{
 
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  if fr_key is None:
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  print_warning("Recognition online license key not found!")
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  else:
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+ ret = fr_header.init_sdk(fr_dict_path.encode('utf-8'), fr_key.encode('utf-8'))
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  if ret == 0:
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  print_log("Successfully init FR SDK!")
 
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  if fl_key is None:
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  print_warning("Liveness Detection online license key not found!")
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  else:
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+ ret = fl_header.init_sdk(fl_dict_path.encode('utf-8'), fl_key.encode('utf-8'))
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  if ret == 0:
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  print_log("Successfully init FL SDK!")
 
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  image_mat1 = cv2.imdecode(np.frombuffer(image1.read(), np.uint8), cv2.IMREAD_COLOR)
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  image_mat2 = cv2.imdecode(np.frombuffer(image2.read(), np.uint8), cv2.IMREAD_COLOR)
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  start_time = time.time()
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+ result, score, face_bboxes, face_features = fr_header.compare_face(image_mat1, image_mat2, float(threshold))
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  end_time = time.time()
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  process_time = (end_time - start_time) * 1000
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