问题描述
是否可以从Python脚本模块中的Azure存储帐户中导入图像，而不是使用Azure ML Studio提供的导入图像"模块.理想情况下，我想使用cv2.imread().我只想读取灰度数据，但是导入图像"模块以RGB读取.我可以像使用外部Python脚本一样使用BlockBlobService库吗?
Is it possible to import images from your Azure storage account from within a Python script module as opposed to using the Import Images module that Azure ML Studio provides. Ideally I would like to use cv2.imread(). I only want to read in grayscale data but the Import Images module reads in RGB.Can I use the BlockBlobService library as if I were calling it from an external Python script?
推荐答案
基于我的理解，我认为您想通过python-opencv2的方法cv2.imread从Azure Blob存储获取图像的灰度数据.
Based on my understanding, I think you want to get the grayscale data of a image which comes from Azure Blob Storage via the method cv2.imread of python-opencv2.
我试图用azure-storage==0.20.3包编写一个python脚本来做到这一点.这是我的示例代码，如下所示.
I tried to write a python script using azure-storage==0.20.3 package to do it. Here is my sample code as below.
from azure.storage.blob import BlobService
import numpy
import cv2
service = BlobService(account_name='<your storage account name>', account_key='<your storage account key>')
blob = service.get_blob_to_bytes('mycontainer', 'test.jpg')
print type(blob)
np_array = numpy.fromstring(blob, numpy.uint8)
print np_array
img = cv2.imdecode(np_array, cv2.CV_LOAD_IMAGE_COLOR)
如果使用最新的azure-storage软件包，请确保使用以下代码.
If using the latest azure-storage package, make sure that using the code as below.
from azure.storage.blob import BlockBlobService
service = BlockBlobService(account_name='<your storage account name>', account_key='<your storage account key>')
上面的代码在本地环境下可以正常工作，但是由于缺少必需的Python包azure-storage& ;;而不能在Azure ML Studio的Experiments上用作Execute Python Script模块. cv2.然后，我尝试遵循文档 Adding Python Script as a Custom Resource 添加这些软件包，但是未能意识到python-opencv2软件包依赖于C本机库opencv2.
The code above works fine on local environment, but it doesn't work as a Execute Python Script module on the Experiments of Azure ML Studio, because of missing the required Python packages azure-storage & cv2. Then I tried to follow the document Adding Python Script as a Custom Resource to add these packages, but failed that I realized the python-opencv2 package is depended on the C native library opencv2.
因此，根据我的经验，我认为简单的&解决方法是使用OpenCV Library Modules的Import Images模块的dataframe中的RGB数据计算灰度数据.
So per my experience, I think the simple & workaround way is that computing the grayscale data with the RGB data in dataframe from Import Images module of OpenCV Library Modules.
希望有帮助.
这篇关于导入图像Azure Machine Learning Studio的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！