LitData Refactor PR3: Add custom StreamingDataset

[gitttt-1234]

This is the third PR for #80. Here, we implement a custom litdata.StreamingDataset class for each model type. In the litdata.StreamingDataset.__getitem__() method, we apply augmentation, resizer, pad_to_stride and generate confidence maps (and part affinity fields for bottom-up model) .

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[codecov]

Codecov Report

Attention: Patch coverage is 98.13665% with 3 lines in your changes missing coverage. Please review.

Project coverage is 97.49%. Comparing base (8af3694) to head (739b2b8).
Report is 1 commits behind head on divya/add-datachunks-func.

Files with missing lines	Patch %	Lines
sleap_nn/training/model_trainer.py	94.44%	3 Missing ⚠️

Additional details and impacted files

@@                      Coverage Diff                      @@
##           divya/add-datachunks-func      #92      +/-   ##
=============================================================
- Coverage                      97.81%   97.49%   -0.33%     
=============================================================
  Files                             36       37       +1     
  Lines                           3391     3515     +124     
=============================================================
+ Hits                            3317     3427     +110     
- Misses                            74       88      +14     

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