I have mounted my google drive contents into Google Colab via the command below:
from google.colab import drive
drive.mount('/content/drive')
Now, every time I create a new notebook the drive is automatically mounted. How can I unmount it?
https://myaccount.google.com/permissions
Delete connect "Google Drive File Stream"
You can try this:
from google.colab import drive
drive.flush_and_unmount
Really?
In my code, I need some files from G. drive but every time I open the notebook it is unmounted so I should Go to the URL in a browser and Enter the authorization code.
I think you could reconnect to hosted runtime to solve it.
One way is to "Factory Reset" the runtime in the cost of losing all variables from the workspace.
Related
I use Google Colab extensively. In order to get an easy access to files in my Google drive, I mount the drive to the file system of the virtual machine that runs Colab. Like that:
from google.colab import drive as cdrive
cdrive.mount('/content/gdrive')
% cd /content/gdrive/'My Drive'/'Colab Notebooks'/my_directory
In the beginning of each session, I need to give a permission to access my drive. In order to do that, I need to press 'Allow', copy a one-time-password and paste it to a dedicated text area. It's a bit tedious.
Is there a better way? can I give a permanent permission based on my machine? any other ideas?
At this moment, we can access google drive with the Mount Drive button on the left menu bar.
Confirm the access Google Drive action.
Then it will be mounted to your Colab notebook.
I need to understand whether there is a way to incremental upload to Google Colaboratory.
I was trying to upload a huge number of image files to Google Colaboratory when my Internet connection failed and I had to start again. I observed that the images, which were already uploaded, where now getting duplicated.
Is there any way that only missed files get uploaded? This will save time and space.
I suggest you not to upload them just in Colab, because there is no solution to this problem, you just need to re-select manually the files not uploaded yet. I suggest you to use the google.colab package to manage these problems in Colab. Just upload everything you need to your google drive, then import:
from google.colab import drive
drive.mount('/content/gdrive')
In this way, you just need to login to your google account through google authentication API, and you can use files/folders as if they were uploaded on Colab. In this way, you can manage connection errors, since you're uploading them to google drive, and you can choose between overwriting existing files or just skip them.
When I try to connect google colab with my account I am having this error message:
Something went wrong
Sorry, something went wrong there. Try again.
With another account I can connect.
this is temporarly and
from google.colab import drive
drive.mount('/content/drive')
won't work for a while but you can do it by this way:
1.go to files 2.mount the drive by clicking on the Drive icon
then you can see the drive folder after a while
the picture:
We are sharing a google drive folder where we put the colab notebooks. Now we need to upload some text files permanently for notebook usage. I do not want to upload files every time I open colab. From what I searched, I had to upload files to google drive and mount it to colab in some way.
So, when I mount google drive to colab, can my teammates access all my files in it, or simply the shared folder.If not, is there a way to share only a folder or a file of google drive in colab.
If you share a folder with your teammates in Google Drive then that folder will appear in each of their drive mounts in colab. Each person running code in a notebook (even if they share a notebook) gets their own VM. One person should never see another person's Drive mount.
An alternative to sharing a data-file folder in Drive is to upload your data to GCS and have your notebook fetch it from there (example).
I have a dataset stored locally on my laptop, unfortunately i can't upload it to drive even in zip format, how can i train my model on this dataset(stored locally) using google colab
One option is to use Google Drive File Stream to mount your Google Drive on your local machine.
Then, you can put files there from your local machine and access them easily in Colab by mounting your Google Drive in the filesystem after running the following snippet:
from google.colab import drive
drive.mount('/content/drive')