azure_face_api_detect_faces_with_attributes_and_landmarks.py

1import asyncio
2from azure.ai.vision.face import FaceClient
3from azure.ai.vision.face.models import FaceDetectionModel, FaceRecognitionModel
4from azure.core.credentials import AzureKeyCredential
5
6# Set your Face API endpoint and key as environment variables or replace them here
7ENDPOINT = "PASTE_YOUR_FACE_ENDPOINT_HERE"
8KEY = "PASTE_YOUR_FACE_SUBSCRIPTION_KEY_HERE"
9
10async def main():
11    # Authenticate the client
12    face_client = FaceClient(ENDPOINT, AzureKeyCredential(KEY))
13
14    # URL of the image to analyze
15    image_url = "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-sample-data-files/master/Face/images/family.jpg"
16
17    print(f"Detecting faces in image: {image_url}")
18
19    # Detect faces in the image
20    async with face_client:
21        detected_faces = await face_client.detect(
22            url=image_url,
23            detection_model=FaceDetectionModel.DETECTION_03,
24            recognition_model=FaceRecognitionModel.RECOGNITION_04,
25            return_face_id=True,
26            return_face_landmarks=True,
27            return_face_attributes=["age", "gender", "smile", "facialHair", "glasses"]
28        )
29
30        if not detected_faces:
31            print("No faces detected.")
32            return
33
34        print(f"Detected {len(detected_faces)} face(s).")
35
36        for face in detected_faces:
37            print(f"Face ID: {face.face_id}")
38            print(f"Face Rectangle: {face.face_rectangle}")
39            if face.face_attributes:
40                print(f"Gender: {face.face_attributes.gender}")
41                print(f"Age: {face.face_attributes.age}")
42                print(f"Smile: {face.face_attributes.smile}")
43            print("-" * 20)
44
45if __name__ == "__main__":
46    asyncio.run(main())