How to use the azure-cognitiveservices-vision-face.azure.cognitiveservices.vision.face.models.VerifyFaceToFaceRequest function in azure-cognitiveservices-vision-face

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github Azure / azure-sdk-for-python / azure-cognitiveservices-vision-face / azure / cognitiveservices / vision / face / operations / face_operations.py View on Github external
:param face_id1: FaceId of the first face, comes from Face - Detect
        :type face_id1: str
        :param face_id2: FaceId of the second face, comes from Face - Detect
        :type face_id2: str
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides`.
        :return: VerifyResult or ClientRawResponse if raw=true
        :rtype: ~azure.cognitiveservices.vision.face.models.VerifyResult or
         ~msrest.pipeline.ClientRawResponse
        :raises:
         :class:`APIErrorException`
        """
        body = models.VerifyFaceToFaceRequest(face_id1=face_id1, face_id2=face_id2)

        # Construct URL
        url = self.verify_face_to_face.metadata['url']
        path_format_arguments = {
            'Endpoint': self._serialize.url("self.config.endpoint", self.config.endpoint, 'str', skip_quote=True)
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}

        # Construct headers
        header_parameters = {}
        header_parameters['Accept'] = 'application/json'
        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
        if custom_headers:

azure-cognitiveservices-vision-face

Microsoft Azure Cognitive Services Face Client Library for Python

MIT
Latest version published 1 month ago

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