Mount your gdrive with
from google.colab import *
drive.mount('/content/gdrive', force_remount=True)
Then use !cp to copy.
2 Likes
I think there is an easier way. Just downloading data on gdrive itself from the beginning and working with data there, without any need to copy it. And after training , "file_paths=top_loss_paths’ shows the path of images that causes the top loss which can again be easy to handle from gdrive directly.
Hi,
I clicked on back,grizzly and teddys folders each and pressed upload button but my urls_black.txt, urls_grizzly.txt and urls_teddys.txt files are not showing up under any of those folders, they just show up under models and therefore I can’t download images per instructions provided by Jeremy.
Thanks,
Nasim
You can move the url files with shutil module. My colab NB defaults to the directory /content, which is where the url files appear to be. import shutil and then move the files with
shutil.move('/content/urls_black.txt/', '/content/data/bears/black/urls_black.txt')
.
Then they will be in the right place. Or, change the directories as needed.
1 Like
Error related to lesson3:
! conda install -y -c haasad eidl7zip
and I got the below error:
/bin/bash: conda: command not found
Any help is appreciated.
You can also use bash mv (or any shell command) in the notebook by prefixing with a !.
So !mv <source> <destination> will do the trick.
1 Like
Colab does not use conda so that command does not work.
To install 7zip use !apt-get install p7zip-full, but you should not need to since the colab environment comes with it preinstalled.
You can test it in the notebook with !7za to see the usage output.
6 Likes
Right-Click on the data folder, you can see a upload file. there you upload the files. I hope this helps.
1 Like
anybody make it work running the Filedeleter() or the new one ImageDeleter(), I got disconnected on the first and runtime error on the later
Does anyone know if there is a way to save the model offline and load them later? If I do
learn.save("stage-1")
How can I save that outside of colab so I can load the weights if I start a new kernel?
1 Like
You can find your saved models in data/[project]/models/ in the sidebar file viewer, then just right click on the file and choose download.
If you have mounted your google drive then just !cp the files there.
1 Like
One issue I’m running into is that when I’m running the
path = untar_data(URLs.IMDB_SAMPLE)
path.ls()
The directory it’s saved in isn’t in data/[project]/models/ but rather
[PosixPath('/root/.fastai/data/imdb_sample/texts.csv'),
PosixPath('/root/.fastai/data/imdb_sample/tmp')]
Which doesn’t show up in the sidebar in Colab. Is What would be the best workaround for this, if I want to download the data to data/[project]/models/
1 Like
If you have run the colab fastai install script then /content/data/ should be symlinked to /root/.fastai/data/ and show up in the sidebar.
The /[project] directory is created from the notebook when running
path = Config.data_path()/'project'
path.mkdir(exist_ok=True)
or automatically when running
path = untar_data()
The /models directory is automatically created when you run learn.save()
I think I see what the problem is, I wasn’t running
!curl https://course-v3.fast.ai/setup/colab | bash
In my notebook. Thanks!
Following up with this question: the learner doesn’t seem to be saved under models in the files tab, I’ve refreshed and resaved the model multiple times.
In this case the /models dir is “hidden” in the /images dir.
1 Like
Found it, thanks!
Hello,
When I use the ImageDeleter, I keep getting a runtime error. Not sure if it is something just happening in colab. Or is there some way to use it different on there. Any help is appreciated. Thank you