Support encrypted dataset training

[vinnamkim]

Summary

• Ticket no. 112208
• Using OTX, users can seamlessly train encrypted datasets created by Datumaro.
• otx train with --encryption-key CLI argument or ENCRYPTION_KEY env vars enables model training with an encrypted dataset.

How to test

I added tests related to this change.

Checklist

• I have added unit tests to cover my changes.​
• I have added integration tests to cover my changes.​
• I have added e2e tests for validation.
• I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).​
• I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
• I have linked related issues.

License

• I submit my code changes under the same Apache License that covers the project.
  Feel free to contact the maintainers if that's a concern.
• I have updated the license header for each file (see an example below).

# Copyright (C) 2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

[codecov-commenter]

Codecov Report

Patch coverage: 92.50% and no project coverage change.

Comparison is base (7074d46) 80.24% compared to head (342fe0f) 80.25%.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #2209   +/-   ##
========================================
  Coverage    80.24%   80.25%           
========================================
  Files          469      469           
  Lines        35182    35183    +1     
========================================
+ Hits         28232    28236    +4     
+ Misses        6950     6947    -3     

Flag	Coverage Δ
py310	80.25% <92.50%> (+0.01%)	⬆️
py38	80.23% <92.50%> (+<0.01%)	⬆️
py39	80.24% <92.50%> (+0.01%)	⬆️

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

Impacted Files	Coverage Δ
otx/core/data/adapter/base_dataset_adapter.py	89.01% <90.47%> (+1.57%)	⬆️
otx/cli/manager/config_manager.py	76.96% <92.30%> (+0.55%)	⬆️
otx/cli/tools/train.py	81.89% <100.00%> (+0.15%)	⬆️
otx/core/data/adapter/action_dataset_adapter.py	95.83% <100.00%> (ø)
otx/core/data/adapter/anomaly_dataset_adapter.py	87.12% <100.00%> (ø)
.../core/data/adapter/segmentation_dataset_adapter.py	94.82% <100.00%> (-0.14%)	⬇️

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[sungmanc]

Is there no need to change the Datumaro version?

[vinnamkim]

Is there no need to change the Datumaro version?

DatumaroBinary format and dataset encryption features were added months ago (datumaro==1.1.0).