Fix KP task to work in Geti scenario

[kprokofi]

Summary

How to test

1. Only keypoint annotations are available in arrow file in Geti.
2. We need to use different set of augmentations to work as expected without Bboxes (==different config).

Checklist

• I have added unit tests to cover my changes.​
• I have added integration tests to cover my changes.​
• I have ran e2e tests and there is no issues.
• 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) 2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

[codecov]

Codecov Report

Attention: Patch coverage is 50.00000% with 2 lines in your changes missing coverage. Please review.

Please upload report for BASE (releases/2.3.0@0c624a4). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
src/otx/core/data/dataset/keypoint_detection.py	50.00%	2 Missing ⚠️

Additional details and impacted files

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##             releases/2.3.0    #4189   +/-   ##
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Flag	Coverage Δ
py310	79.49% <50.00%> (?)
py311	79.53% <50.00%> (?)

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[kprokofi]

I confirm that now the training is working (it trains, it outputs some metric) with Geti config and provided to me arrow file

[sovrasov]

I confirm that now the training is working (it trains, it outputs some metric) with Geti config and provided to me arrow file

If the arrow being used is compact enough, we might need it later for the integration tests

[kprokofi]

We have again CI problem with IS task, can we avoid it for this PR? I didn't touch anything related to IS. We need to prioritize merging this PR