✨added cross-validation capabilities

[Konohana0608]

What do these changes do?

The changes should enable the user to run a cross validation. At the moment it is with the old implementation style using
.json files. Will need to adapt the code to work with the newer .yamal files instead.

Related issue/s

How to test

Checklist

[codecov]

Codecov Report

Merging #46 (37c9799) into main (61a3762) will increase coverage by 0.82%.
The diff coverage is 41.66%.

@@            Coverage Diff             @@
##             main      #46      +/-   ##
==========================================
+ Coverage   19.48%   20.30%   +0.82%     
==========================================
  Files          47       47              
  Lines        2392     2531     +139     
  Branches      395      419      +24     
==========================================
+ Hits          466      514      +48     
- Misses       1900     1990      +90     
- Partials       26       27       +1     

Flag	Coverage Δ
unittests	20.30% <41.66%> (+0.82%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
src/segmantic/commands/monai_unet_cli.py	50.98% <12.50%> (-17.60%)	⬇️
src/segmantic/seg/monai_unet.py	22.08% <13.33%> (-3.65%)	⬇️
src/segmantic/seg/dataset.py	88.33% <90.32%> (+2.96%)	⬆️

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[dyollb]

why don't you write a little test in tests/seg/test_dataset.py to make sure the dataset kfold splitting is doing what you expect?

Ps. the magic variable tmp_path: Path e.g. here is a temporary directory path, where you can create files and they will be cleaned up after the test has run.
Ps2. this will also solve your coverage test failure with something that is meaningful.

[dyollb]

The changes look good now.

• Please avoid the code duplication marked in dataset.py
• and check that training and cross-validate run properly.
• also add a check that the (training/validation) files in the dataset actually exist and are not just globs (in the modified test).

[dyollb]

LGTM