【发布时间】：2020-07-16 04:32:31
【问题描述】：
我正在使用 Azure CV 模块来处理图像，到目前为止，我只使用了本地图像或网络上免费提供的图像。但现在我需要使用存储在存储帐户容器中的图像。
我在文档中看不到如何执行此操作，例如：此代码允许使用本地图像：
import os
import sys
import requests
# If you are using a Jupyter notebook, uncomment the following line.
# %matplotlib inline
import matplotlib.pyplot as plt
from PIL import Image
from io import BytesIO
# Add your Computer Vision subscription key and endpoint to your environment variables.
if 'COMPUTER_VISION_SUBSCRIPTION_KEY' in os.environ:
subscription_key = os.environ['COMPUTER_VISION_SUBSCRIPTION_KEY']
else:
print("\nSet the COMPUTER_VISION_SUBSCRIPTION_KEY environment variable.\n**Restart your shell or IDE for changes to take effect.**")
sys.exit()
if 'COMPUTER_VISION_ENDPOINT' in os.environ:
endpoint = os.environ['COMPUTER_VISION_ENDPOINT']
analyze_url = endpoint + "vision/v3.0/analyze"
# Set image_path to the local path of an image that you want to analyze.
# Sample images are here, if needed:
# https://github.com/Azure-Samples/cognitive-services-sample-data-files/tree/master/ComputerVision/Images
image_path = "C:/Documents/ImageToAnalyze.jpg"
# Read the image into a byte array
image_data = open(image_path, "rb").read()
headers = {'Ocp-Apim-Subscription-Key': subscription_key,
'Content-Type': 'application/octet-stream'}
params = {'visualFeatures': 'Categories,Description,Color'}
response = requests.post(
analyze_url, headers=headers, params=params, data=image_data)
response.raise_for_status()
# The 'analysis' object contains various fields that describe the image. The most
# relevant caption for the image is obtained from the 'description' property.
analysis = response.json()
print(analysis)
image_caption = analysis["description"]["captions"][0]["text"].capitalize()
# Display the image and overlay it with the caption.
image = Image.open(BytesIO(image_data))
plt.imshow(image)
plt.axis("off")
_ = plt.title(image_caption, size="x-large", y=-0.1)
plt.show()
此他人使用来自网络的图像：
computervision_client = ComputerVisionClient(endpoint, CognitiveServicesCredentials(subscription_key))
remote_image_url = "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-sample-data-files/master/ComputerVision/Images/landmark.jpg"
'''
Describe an Image - remote
This example describes the contents of an image with the confidence score.
'''
print("===== Describe an image - remote =====")
# Call API
description_results = computervision_client.describe_image(remote_image_url )
# Get the captions (descriptions) from the response, with confidence level
print("Description of remote image: ")
if (len(description_results.captions) == 0):
print("No description detected.")
else:
for caption in description_results.captions:
print("'{}' with confidence {:.2f}%".format(caption.text, caption.confidence * 100))
另一个从存储容器中读取数据：
from azure.storage.blob import BlobClient
blob = BlobClient.from_connection_string(conn_str="my_connection_string", container_name="my_container", blob_name="my_blob")
with open("./BlockDestination.txt", "wb") as my_blob:
blob_data = blob.download_blob()
blob_data.readinto(my_blob)
但我看不到如何在存储容器和 CV 服务之间建立连接
【问题讨论】：
-
您的图像是如何存储在 Blob 中的？下载 blob 的内容后，您必须从这些内容中检索图像，然后将图像转换为原始字节。完成此操作后，您应该可以使用您的第一个脚本将其发送到 CV。
-
@Tyson 图片为 JPG 格式，在将图片发送到 CV API 之前，我宁愿不要将图片下载到我的机器上；只需从 CV API 读取它们，这可能吗？
-
是的，这肯定是最好的方法。听起来应该是可能的，但我不知道如何做，也找不到任何关于如何去做的文档。对不起。关于如何在将图像发送到 CV 之前将图像下载到本地，这里有一些类似的问题/答案：stackoverflow.com/questions/44588402/…stackoverflow.com/questions/55170572/…
标签： azure computer-vision storage