face_landmarks_cv_part_4.py

# While loop to continuously process the video frames 
while True:
    ret, frame = cam.read()
    if not ret:
        print("failed to grab frame")
        break
    cv2.imshow("face", frame)
    # Post video frames to Azure Face Service to obtain face landmarks
    image = cv2.imencode('.jpg', frame)[1].tostring()
    subscription_key = KEY
    face_api_url = "https://southeastasia.api.cognitive.microsoft.com/face/v1.0/detect"
    headers = {'Content-Type': 'application/octet-stream', 'Ocp-Apim-Subscription-Key': subscription_key}
    params = {'returnFaceId': 'true', 'returnFaceLandmarks': 'true'}
    response = requests.post(face_api_url, params=params, headers=headers, data=image)
    response.raise_for_status()
    faces = response.json()
    print(faces)