52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
from django.conf import settings
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import uuid
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import face_recognition
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import os
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from apps.hrm.models import Employee
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from apps.hrm.tasks import update_all_user_facedata_cache
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from apps.system.models import User
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from django.core.cache import cache
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class HRMService:
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@classmethod
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def face_compare_from_base64(cls, base64_data):
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filename = str(uuid.uuid4())
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filepath = settings.BASE_DIR +'/temp/' + filename +'.png'
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with open(filepath, 'wb') as f:
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f.write(base64_data)
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try:
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unknown_picture = face_recognition.load_image_file(filepath)
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unknown_face_encoding = face_recognition.face_encodings(unknown_picture)[0]
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os.remove(filepath)
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except:
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os.remove(filepath)
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return None, '头像解码失败'
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# 匹配人脸库
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face_datas = cache.get('face_datas')
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face_users = cache.get('face_users')
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if face_datas is None:
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update_all_user_facedata_cache()
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try:
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results = face_recognition.compare_faces(face_datas,
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unknown_face_encoding, tolerance=0.5)
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except:
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return None, '识别失败'
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for index, value in enumerate(results):
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if value:
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# 识别成功
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user = User.objects.get(id=face_users[index])
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return user, ''
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return None, '识别失败'
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@classmethod
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def get_facedata_from_img(cls, img_path):
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try:
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photo_path = settings.BASE_DIR + img_path
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picture_of_me = face_recognition.load_image_file(photo_path)
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my_face_encoding = face_recognition.face_encodings(picture_of_me)[0]
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face_data_list = my_face_encoding.tolist()
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return face_data_list
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except:
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return None |