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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
The text was updated successfully, but these errors were encountered:
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.
tf_unet
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
Sorry, something went wrong.
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.
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Hi,
From a jupyter notebook, the following code completely erased the content of the above directory (~100 000 images, oops!):
The directory contained three directories (grey, groundtruth, UnetData).
Where should point output_path ?
Thanks
The text was updated successfully, but these errors were encountered: