akshaybahadur21 / Facial-Recognition-using-Facenet

A simple implementation of facial recognition using facenets for humans 🧔 🔍
MIT License
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please help #3

Open kkpriyankacoding opened 6 years ago

kkpriyankacoding commented 6 years ago

Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA Segmentation fault (core dumped)

akshaybahadur21 commented 6 years ago

Can you please provide the full stack trace

ashd758 commented 5 years ago

Traceback (most recent call last): File "rec-feat.py", line 112, in recognize() File "rec-feat.py", line 103, in recognize extract_face_info(img, img_rgb, database,ear) File "rec-feat.py", line 59, in extract_face_info name, min_dist = recognize_face(image, database) File "rec-feat.py", line 44, in recognize_face if int(identity) <=4: TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType' [ WARN:0] terminating async callback

Obaei commented 2 years ago

hi please help me

Traceback (most recent call last): File "D:/File Folder/Collage [semnan University ]/MS VS/Facial-Recognition-using-Facenet-master/Facial-Recognition-using-Facenet-master/rec-feat.py", line 7, in from keras.models import load_model File "D:\ProgramData\Anaconda3\envs\new\lib\site-packages\keras__init.py", line 20, in from . import initializers File "D:\ProgramData\Anaconda3\envs\new\lib\site-packages\keras\initializers\init.py", line 124, in populate_deserializable_objects() File "D:\ProgramData\Anaconda3\envs\new\lib\site-packages\keras\initializers\init__.py", line 82, in populate_deserializable_objects generic_utils.populate_dict_with_module_objects( AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'

Process finished with exit code 1