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# Use the Azure Machine Learning data collector to log various metrics
from azureml.logging import get_azureml_logger
logger = get_azureml_logger()


    

In [20]:

    

import cv2
import numpy as np
import json
import requests
np.set_printoptions(threshold=np.nan)


    

In [27]:

    

path_to_image = "/tmp/data/mnist_png/testing/7/0.png"
img_width, img_height = 28, 28


    

In [28]:

    

img = cv2.imread(path_to_image)
img = cv2.resize(img, (img_width, img_height))
img.shape


    

    
Out[28]:





(28, 28, 3)

In [29]:

    

input_array = np.array(img).reshape((img_width,img_height,3))
input_array = np.expand_dims(input_array, axis=0)
input_array.shape


    

    
Out[29]:





(1, 28, 28, 3)

In [30]:

    

type(input_array)


    

    
Out[30]:





numpy.ndarray

In [31]:

    

url = "http://127.0.0.1:32773/score"
headers = {'content-type': 'application/json'}
json_data = "{\"input_array\": " + str(input_array.tolist()) + "}"


    

In [32]:

    

r = requests.post(url, data=json_data, headers=headers)
r.json()


    

    
Out[32]:





'7'

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