使用面部作为聊天网站的密码

Using face as password for chat site

我是 Django 的新手,我正在通过 Django 2.0 制作一个演示聊天网站。我的动机是在人们注册时保存他们的照片,并在后端 运行 人脸认证 python 脚本(我已经通过 face_recognition 上的开源库 face_recognition Python) 在用户登录时识别用户。我的脚本现在使用 cv2 点击照片并将其发送到人脸识别引擎。

我必须将用户的照片保存在服务器端的目录中,并将图像的名称作为用户的名称 当他们注册时,所以我可以 运行 一个人脸认证器对我文件夹中的人脸列表进行 for-loop 以找到匹配的人脸。当它找到时,我可以 return 名称来查询我的数据库并为该特定用户 创建一个会话。 (我知道这很费时间和资源,但由于它是一个演示,我想我可以通过它。也请建议是否有更快的基于人脸的身份验证方法)

我的用户模型是这样的

class User(models.Model):
    username = models.CharField(max_length=100)
    name = models.CharField(max_length=100)
    age = models.CharField(max_length=100)
    image = models.ImageFile()

任何有 Django 经验的人都可以指导我完成此操作的途径和所需的步骤吗?

我假设您为 python 安装了 OpenCVcv2,当然 numpyface_recognition

utils.py

def recognize_face(id_image, q_image):
    """

    :param image: image of the face in the id
    :param q_image: image of the face from the cam
    :return:
    """
    q_face_encoding = face_recognition.face_encodings(id_image)[0]

    face_locations = face_recognition.face_locations(q_image)
    face_encodings = face_recognition.face_encodings(q_image, face_locations)

    # Loop through each face in this image
    for face_encoding in face_encodings:
        # See if the face is a match for the known face(s)
        match = face_recognition.compare_faces([q_face_encoding], face_encoding)

        result = False
        if match[0]:
            result = True
        return result

def _grab_image(path=None, stream=None, url=None):
    # if the path is not None, then load the image from disk
    if path is not None:
        image = cv2.imread(path)

    # otherwise, the image does not reside on disk
    else:
        # if the URL is not None, then download the image
        if url is not None:
            resp = requests.get(url)
            data = resp.text()

        # if the stream is not None, then the image has been uploaded
        elif stream is not None:
            data = stream.read()

        # convert the image to a NumPy array and then read it into
        # OpenCV format
        image = np.asarray(bytearray(data), dtype="uint8")
        image = cv2.imdecode(image, cv2.IMREAD_COLOR)

    # return the image
    return image

views.py

class FaceVerifyAPIView(APIView):
    http_method_names = ['get', 'post', 'options']
    parser_classes = (parsers.MultiPartParser, parsers.FormParser)
    renderer_classes = (renderers.JSONRenderer, )

    def post(self, request, *args, **kwargs):
        serializer = FaceDectSerializer(data=request.data)
        serializer.is_valid(raise_exception=True)
        data = serializer.validated_data
        id_image = data['id_image']
        q_image = data['q_image']  # OR from request.user.image
        id_image = _grab_image(stream=id_image)
        q_image = _grab_image(stream=q_image)
        result = recognize_face(id_image, q_image)
        return JsonResponse({'message': str(result)}, status=200)


    def get(self, request, *args, **kwargs):
        return JsonResponse({'message': 'You\'re here but use post method'}, status=201)

拍一张他的脸,拍这张reference