1.在这里我安装了以下打包
1.蓝色存储blob
1.蓝色-认知服务-视觉-计算机视觉
使用pip install <Package Name>

• 现在你可以使用下面的代码打印提取的线和图像中每一条线的置信度。

// Get the following values from portal : 

blob_storage_Connection_String = ""
Cognitive_Service_key = ""
Cognitive_Service_endpoint = ""
container_name = "testcontainer"
storage_account_name = ""

blob_service_client = BlobServiceClient.from_connection_string(blob_storage_Connection_String)

computervision_client = ComputerVisionClient(Cognitive_Service_endpoint, CognitiveServicesCredentials(Cognitive_Service_key))

container_client = blob_service_client.get_container_client(container_name)

// List of Blobs
blob_list = container_client.list_blobs()

for blob  in  blob_list:
    blob_url = "https://"+storage_account_name+".blob.core.windows.net/"+container_name+"/"+blob.name
    read_response = computervision_client.read(blob_url, raw=True)
    read_operation_location = read_response.headers["Operation-Location"]
    operation_id = read_operation_location.split("/")[-1]
    while  True:
        read_result = computervision_client.get_read_result(operation_id)
        if  read_result.status not  in ['notStarted', 'running']:
            break
        time.sleep(1)
    for  textresult  in  read_result.analyze_result.read_results:
        for  line  in  textresult.lines:
            print("Text: ",line.text)
            print("Confidence: ", line.appearance.style.confidence)

• 这里，Azure存储容器中有2个图像，因此有两组结果

输出：

• 此外，您还可以使用xlwt模块在excel工作表中添加line.text和line.appearance.style.confidence。在向excel添加数据时，请参考aishwarya.27。