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This change:

  • Fixes some issues with running the scripts on CDSW using default options (particularly shared memory size for worker containers).
  • Adds a script to generate undefective windows of images.

If for some reason a worker with no instances is created,
just return early to avoid lots of weird pandas errors.
Eagerly loading the whole dataset can exhaust IPC file space
on CDSW.

Moreover IPC files cannot be freed as long as references to tensors
are held. Normalize the dataframes each batch to free references
to tensors.
Adds a notebook that examines the selected windows to comprise
the defective examples set for defect classification.
This function expects the dimensions in another order.
Calculate the number of per-worker images needed correctly,
as previous calculation did not yield enough images to
meet what is specified in the command line args.
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2 participants