前言
场景：P2实验室某安全区域有一环境检测仪表，具备检测空间内温度、湿度、噪声等环境安全指标。
如何通过无线（不与仪表建立直接物理连接）方式准确获取仪表实时数据，并接入中控系统呢？通过结合高清摄像头与 azure-cognitiveservices 的方案值得考虑。
提示：以下是本篇文章正文内容，下面案例可供参考
[1个简单Demo]使用计算机视觉客户端，获取该物体的描述
1.安装客户端库
代码如下：
pip install –upgrade azure-cognitiveservices-vision-computervision
pip install pillow
2.创建Python应用程序
代码如下：
from azure.cognitiveservices.vision.computervision import ComputerVisionClient
from azure.cognitiveservices.vision.computervision.models import OperationStatusCodes
from azure.cognitiveservices.vision.computervision.models import VisualFeatureTypes
from msrest.authentication import CognitiveServicesCredentials
from array import array
import os
from PIL import Image
import sys
import time
subscription_key =”PASTE_YOUR_COMPUTER_VISION_SUBSCRIPTION_KEY_HERE”
endpoint = “PASTE_YOUR_COMPUTER_VISION_ENDPOINT_HERE”
3.实例化
代码如下：
computervision_client = ComputerVisionClient(endpoint, CognitiveServicesCredentials(subscription_key))
local_image_path = “./sensor/sensor.jpg”
local_image = open(local_image_path, “rb”)
4.获取description_result
代码如下：
description_result = computervision_client.describe_image_in_stream(local_image)
print(“Description of local image: “)
if (len(description_result.captions) == 0):
print(“No description detected.”)
else:
for caption in description_result.captions:
print(“‘{
}’ with confidence {
:.2f}%”.format(caption.text, caption.confidence * 100))
=========== result ===============
===== Describe an Image – local =====
Description of local image:
‘a rectangular sign with blue text’ with confidence 31.88%
5.完整代码
代码如下：
from logging import exception
from azure.cognitiveservices.vision.computervision import ComputerVisionClient
from msrest.authentication import CognitiveServicesCredentials
subscription_key =”PASTE_YOUR_COMPUTER_VISION_SUBSCRIPTION_KEY_HERE”
endpoint = “PASTE_YOUR_COMPUTER_VISION_ENDPOINT_HERE”
local_image_path = “./sensor/sensor.jpg”
def main():
try:
print(“===== Describe an Sensor-Screenshot =====”)
computervision_client = ComputerVisionClient(endpoint, CognitiveServicesCredentials(subscription_key))
# Open local image file
local_image = open(local_image_path, “rb”)
# Call API
description_result = computervision_client.describe_image_in_stream(local_image)
# Get the captions (descriptions) from the response, with confidence level
print(“Description of local image: “)
if (len(description_result.captions) == 0):
print(“No description detected.”)
else:
for caption in description_result.captions:
print(“‘{
}’ with confidence {
:.2f}%”.format(caption.text, caption.confidence * 100))
except exception as re:
print(re)
if __name__ == ‘__main__’:
main()