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Neuroclear is a deep-learning-based Python module to train a deep neural network for the task of applying super-resolution to degraded axial resolution in fluorescence microscopy, using a single image stack.

License: Apache License 2.0

Python 4.69% Jupyter Notebook 95.31%
deep-learning fluorescence-microscopy-imaging microscopy

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neuroclear's Issues

How to write dataroot path?

P.S. it's resolved by myself, thanks!

Hello, When I try to run the train demo (train_onecube.py) in a conda environment, I got error.

Below is what I did

  1. 「"ModuleNotFoundError: There is no module named models.cycle_gan_model"」
    So, I changed the code to "cycle_gan" -> "axial_to_lateral_gan_athena" (base_options.py, line 34)
    and it passed.

  2. 「"ModuleNotFoundError: No module named 'data.braincube_dataset' "」
    So, I rewrote it as "braincube" -> "singlevolume" (base_options.py, line 49)
    and it passed.

  3. 「"TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType"」
    so, I changed the code to " help='path to images…' " -> " help='/home/my_username/neuroclear-v1.0.0/simulation_test/simulation_data/haystack/10000-lines-blurred-by-gaublur-std-4/blurred' " (base_options.py, line 25)

and try to code run, but the same error occurred.
I think the following is the problem, but I don't know how to do.
・Folder structure of data used for training
・How to specify the folder path

Or could it be some other cause?

thank you very much!

'_deform_grid.deform_grid_grad' no worked.

Hello. Thank you for the good code.

It stopped at "Data Generator for Simulation.py," so I looked at it

Line 277, '_deform_grid.deform_grid_grad(dXs, displacement_f, output_offset, dYs, axis, order, mode, cval, inverse_affine)'
What's the problem with stopping at?

The first one works, but the second one doesn't.

Thank you.

(Environmental settings are I used neuroclear_env.yml )

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