Microsoft Azureのcomputer visionでカンタンな分析をしてみよう ref: https://qiita.com/kyoro1/items/fcef81e84da99bc52de9

file0.py

import requests
import matplotlib.pyplot as plt
import json
from PIL import Image
from io import BytesIO

file1.py

## Setting for cloud side
SUBSCRIPTION_KEY = ## Subscription keyの指定
vision_base_url = "https://japaneast.api.cognitive.microsoft.com/vision/v2.0/" ## 利用regionにより適宜変更して下さい

## Setting for local images
WKDIR = ## 画像のディレクトリを指定
IMG_FILE = ## 画像ファイル名(jpg, png)

file2.py

image_path = WKDIR + IMG_FILE
analyze_url = vision_base_url + "analyze"

image_data = open(image_path, "rb").read()
headers = {'Ocp-Apim-Subscription-Key': SUBSCRIPTION_KEY,
          'Content-Type': 'application/octet-stream'}
params  = {'visualFeatures': 'Categories,Description,Color'
          ,'language': 'ja'} ## 日本語なら'ja'
data = {'byte': image_data}

file3.txt

response = requests.post(analyze_url, 
                         headers=headers, 
                         params=params, 
                         data=image_data)

file4.py

img = Image.open(image_path)
plt.imshow(img)
caption = response.json()['description']['captions'][0]['text']
print(caption)