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# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: sample_stateless_face_verification.py
DESCRIPTION:
This sample demonstrates verifying whether two faces belong to a same person.
USAGE:
python sample_stateless_face_verification.py
Set the environment variables with your own values before running this sample:
1) AZURE_FACE_API_ENDPOINT - the endpoint to your Face resource.
2) AZURE_FACE_API_ACCOUNT_KEY - your Face API key.
"""
import os
from dotenv import find_dotenv, load_dotenv
from shared.constants import (
CONFIGURATION_NAME_FACE_API_ACCOUNT_KEY,
CONFIGURATION_NAME_FACE_API_ENDPOINT,
DEFAULT_FACE_API_ACCOUNT_KEY,
DEFAULT_FACE_API_ENDPOINT,
TestImages,
)
from shared import helpers
from shared.helpers import beautify_json, get_logger
class StatelessFaceVerification:
def __init__(self):
load_dotenv(find_dotenv())
self.endpoint = os.getenv(CONFIGURATION_NAME_FACE_API_ENDPOINT, DEFAULT_FACE_API_ENDPOINT)
self.key = os.getenv(CONFIGURATION_NAME_FACE_API_ACCOUNT_KEY, DEFAULT_FACE_API_ACCOUNT_KEY)
self.logger = get_logger("sample_stateless_face_verification")
def verify_face_to_face(self):
from azure.core.credentials import AzureKeyCredential
from azure.ai.vision.face import FaceClient
from azure.ai.vision.face.models import FaceDetectionModel, FaceRecognitionModel
with FaceClient(endpoint=self.endpoint, credential=AzureKeyCredential(self.key)) as face_client:
dad_picture1 = helpers.get_image_path(TestImages.IMAGE_FAMILY_1_DAD_1)
detect_result1 = face_client.detect(
helpers.read_file_content(dad_picture1),
detection_model=FaceDetectionModel.DETECTION03,
recognition_model=FaceRecognitionModel.RECOGNITION04,
return_face_id=True,
)
assert len(detect_result1) == 1
dad_face_id1 = str(detect_result1[0].face_id)
self.logger.info(f"Detect 1 face from the file '{dad_picture1}': {dad_face_id1}")
dad_picture2 = helpers.get_image_path(TestImages.IMAGE_FAMILY_1_DAD_2)
detect_result2 = face_client.detect(
helpers.read_file_content(dad_picture2),
detection_model=FaceDetectionModel.DETECTION03,
recognition_model=FaceRecognitionModel.RECOGNITION04,
return_face_id=True,
)
assert len(detect_result2) == 1
dad_face_id2 = str(detect_result2[0].face_id)
self.logger.info(f"Detect 1 face from the file '{dad_picture2}': {dad_face_id2}")
# Call Verify to check if dad_face_id1 and dad_face_id2 belong to the same person.
verify_result1 = face_client.verify_face_to_face(face_id1=dad_face_id1, face_id2=dad_face_id2)
self.logger.info(
f"Verify if the faces in '{TestImages.IMAGE_FAMILY_1_DAD_1}' and '{TestImages.IMAGE_FAMILY_1_DAD_2}'"
f" belongs to the same person."
)
self.logger.info(f"{beautify_json(verify_result1.as_dict())}")
man_picture = helpers.get_image_path(TestImages.IMAGE_FAMILY_3_Man_1)
detect_result3 = face_client.detect(
helpers.read_file_content(man_picture),
detection_model=FaceDetectionModel.DETECTION03,
recognition_model=FaceRecognitionModel.RECOGNITION04,
return_face_id=True,
)
assert len(detect_result3) == 1
man_face_id = str(detect_result3[0].face_id)
self.logger.info(f"Detect 1 face from the file '{man_picture}': {man_face_id}")
# Call Verify to check if dad_face_id1 and man_face_id belong to the same person.
verify_result2 = face_client.verify_face_to_face(face_id1=dad_face_id1, face_id2=man_face_id)
self.logger.info(
f"Verify if the faces in '{TestImages.IMAGE_FAMILY_1_DAD_1}' and '{TestImages.IMAGE_FAMILY_3_Man_1}'"
f" belongs to the same person."
)
self.logger.info(f"{beautify_json(verify_result2.as_dict())}")
if __name__ == "__main__":
sample = StatelessFaceVerification()
sample.verify_face_to_face()
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