如何通过 Python 脚本在 Google Cloud Storage 上上传字节图像

问题描述

我想通过 python 脚本将图像上传到 Google Cloud Storage.这是我的代码:

I want to upload an image on Google Cloud Storage from a python script. This is my code:

from oauth2client.service_account import ServiceAccountCredentials
from googleapiclient import discovery

scopes = ['https://www.googleapis.com/auth/devstorage.full_control']
credentials = ServiceAccountCredentials.from_json_keyfile_name('serviceAccount.json', scop
es)
service = discovery.build('storage','v1',credentials = credentials)

body = {'name':'my_image.jpg'}

req = service.objects().insert(
   bucket='my_bucket', body=body,
   media_body=googleapiclient.http.MediaIoBaseUpload(
      gcs_image, 'application/octet-stream'))

resp = req.execute()

如果 gcs_image = open('img.jpg', 'r') 代码可以正常工作并将我的图像正确保存在 Cloud Storage 上.如何直接上传字节图像?(例如来自 OpenCV/Numpy 数组:gcs_image = cv2.imread('img.jpg'))

if gcs_image = open('img.jpg', 'r') the code works and correctly save my image on Cloud Storage. How can I directly upload a bytes image? (for example from an OpenCV/Numpy array: gcs_image = cv2.imread('img.jpg'))

推荐答案

就我而言，我想将 PDF 文档从字节上传到云存储.

In my case, I wanted to upload a PDF document to Cloud Storage from bytes.

当我尝试以下操作时，它创建了一个包含我的字节字符串的文本文件.

When I tried the below, it created a text file with my byte string in it.

blob.upload_from_string(bytedata)

为了使用字节字符串创建一个实际的 PDF 文件，我必须这样做:

In order to create an actual PDF file using the byte string I had to do:

blob.upload_from_string(bytedata, content_type='application/pdf')

我的字节数据是b64encoded，所以我也先b64decode.

My byte data was b64encoded, so I also had b64decode it first.

这篇关于如何通过 Python 脚本在 Google Cloud Storage 上上传字节图像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！