Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Data (dir+files) erased completely #34

Closed
jeanpat opened this issue Apr 18, 2017 · 2 comments
Closed

Data (dir+files) erased completely #34

jeanpat opened this issue Apr 18, 2017 · 2 comments

Comments

@jeanpat
Copy link

jeanpat commented Apr 18, 2017

Hi,
From a jupyter notebook, the following code completely erased the content of the above directory (~100 000 images, oops!):

output_path = os.path.join('..','DeepFISH','dataset','LowRes','train')
path = trainer.train(data_provider, output_path, training_iters=10, epochs=5)

The directory contained three directories (grey, groundtruth, UnetData).
Where should point output_path ?

Thanks

@jakeret
Copy link
Owner

jakeret commented Apr 19, 2017

Hi jeanpat
Sorry about the data loss. Hope you can recover the images.

The output_path is the location where tf_unet stores the checkpoints and the trained model.

In the examples I always create a new path for each training run. Tensorboard makes it then very easy to compare different trainings.

Typically, I store the input data (the images) in a completley different location.

Hope that helps.
J

@jeanpat
Copy link
Author

jeanpat commented Apr 20, 2017

Thanks for your advices. (I had a copy of the files). I met a new problem with tensor dimensions.
So I 'll open a new issue.

@jeanpat jeanpat closed this as completed Apr 20, 2017
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants