从 Google colab 笔记本中提取 Google Drive zip

Extract Google Drive zip from Google colab notebook(从 Google colab 笔记本中提取 Google Drive zip)

问题描述

我已经在谷歌驱动器上有一个(2K 图像)数据集的压缩包.我必须在 ML 训练算法中使用它.下面的代码以字符串格式提取内容:

I already have a zip of (2K images) dataset on a google drive. I have to use it in a ML training algorithm. Below Code extracts the content in a string format:

from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from google.colab import auth
from oauth2client.client import GoogleCredentials
import io
import zipfile
# Authenticate and create the PyDrive client.
# This only needs to be done once per notebook.
auth.authenticate_user()
gauth = GoogleAuth()
gauth.credentials = GoogleCredentials.get_application_default()
drive = GoogleDrive(gauth)

# Download a file based on its file ID.
#
# A file ID looks like: laggVyWshwcyP6kEI-y_W3P8D26sz
file_id = '1T80o3Jh3tHPO7hI5FBxcX-jFnxEuUE9K' #-- Updated File ID for my zip
downloaded = drive.CreateFile({'id': file_id})
#print('Downloaded content "{}"'.format(downloaded.GetContentString(encoding='cp862')))

但我必须将其提取并存储在单独的目录中，因为这样更容易处理(以及理解)数据集.

But I have to extract and store it in a separate directory as it would be easier for processing (as well as for understanding) of the dataset.

我试图进一步提取它，但得到不是 zipfile 错误"

I tried to extract it further, but getting "Not a zipfile error"

dataset = io.BytesIO(downloaded.encode('cp862'))
zip_ref = zipfile.ZipFile(dataset, "r")
zip_ref.extractall()
zip_ref.close()

Google 云端硬盘数据集

注意:数据集仅供参考，我已经将这个 zip 下载到我的 google 驱动器中，我指的只是驱动器中的文件.

Note: Dataset is just for reference, I have already downloaded this zip to my google drive, and I'm referring to file in my drive only.

推荐答案

你可以简单的使用这个

!unzip file_location

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