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This repository has been archived by the owner on Jul 29, 2023. It is now read-only.
We will use this google sheet to track the paths and config files of computational experiments, along with the imaging experiments.
Key decisions:
the table can be succinct - lot of metadata exists in the config files.
log the commit id of codebase with which model was trained. It can be a github tag if one of the releases was used.
The metadata should be machine readable, e.g., readable as a pandas dataframe.
Organize the input data and preprocessed tiles within projects/virtualstaining/tf_microDL and torch_microDL folders.
Organize the configs in projects/virtualstaining/tf_microDL/config_files and projects/virtualstaining/torch_microDL/config_files. Many configs are currently saved in CompMicro/software/configfiles/microDL.
Experiment ID should never change once assigned.
The text was updated successfully, but these errors were encountered:
We will use this google sheet to track the paths and config files of computational experiments, along with the imaging experiments.
Key decisions:
projects/virtualstaining/tf_microDL
andtorch_microDL
folders.projects/virtualstaining/tf_microDL/config_files
andprojects/virtualstaining/torch_microDL/config_files
. Many configs are currently saved inCompMicro/software/configfiles/microDL
.The text was updated successfully, but these errors were encountered: