azure_get_founder.py

import cv2
import requests

key1, Key2 = service.get_keys()

def get_founder(image_directory):

    image=cv2.imread(image_directory)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
    faces = faceCascade.detectMultiScale(
            gray,
            scaleFactor=1.1,
            minNeighbors=4,
            minSize=(100, 100)
    ) 
    
    try:
        if faces.shape[0]>1:
            return print('too many faces on the picture')
        
    except:
        return print('no face detected in the picture')
        
    for (x, y, w, h) in faces:
        crop_img = gray[y:y+h, x:x+w]
        resized_img=cv2.resize(crop_img,(28,28))

    # send a random row from the test set to score
    input_data = "{\"data\": [" + str(resized_img.tolist()) + "]}"

    headers = {'Content-Type':'application/json', 'Authorization': 'Bearer ' + key1}

    resp = requests.post(service.scoring_uri, input_data, headers=headers)
    
    return print("prediction:", resp.text)