Support for format-agnostic storage and loading of hashkey

[sooahleex]

Summary

• Ticket no.110555
• In previous version, saving and loading hash_key is only supported for datumaro format. To enhance this, this PR support to format-agnostic save and load HashKey of annotations
  • Support format which could exported : cifar, camvid, cityscapes, coco, datumaro, icdar, image_dir, image_zip, kitti, labelme, market1501, mnist, mot, mots, open_images, vgg_face2, widerface, yolo
• Load hash_key from hash_meta file during import
• Add HashKey annotation in existed annotation

How to test

Added unittest to check save_and_load for Dataset which contains HashKey in annotations.

Checklist

• I have added unit tests to cover my changes.​
• I have added integration tests to cover my changes.​
• I have added the description of my changes into CHANGELOG.​
• I have updated the documentation accordingly

License

• I submit my code changes under the same MIT 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: MIT

[codecov-commenter]

Codecov Report

Patch coverage: 77.14% and project coverage change: +0.18 🎉

Comparison is base (f01a905) 78.58% compared to head (1748fe6) 78.76%.

Additional details and impacted files

@@                Coverage Diff                 @@
##           releases/1.3.0    #1003      +/-   ##
==================================================
+ Coverage           78.58%   78.76%   +0.18%     
==================================================
  Files                 237      237              
  Lines               27074    27085      +11     
  Branches             5401     5404       +3     
==================================================
+ Hits                21275    21333      +58     
+ Misses               4534     4492      -42     
+ Partials             1265     1260       -5     

Flag	Coverage Δ
macos-11_Python-3.8	77.77% <77.14%> (+0.17%)	⬆️
ubuntu-20.04_Python-3.8	78.74% <77.14%> (+0.18%)	⬆️
windows-2019_Python-3.8	78.65% <77.14%> (+0.18%)	⬆️

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

Impacted Files	Coverage Δ
datumaro/cli/commands/explore.py	19.48% <0.00%> (ø)
datumaro/plugins/data_formats/cifar.py	88.77% <ø> (+1.53%)	⬆️
datumaro/plugins/data_formats/datumaro/exporter.py	95.25% <ø> (+4.04%)	⬆️
datumaro/plugins/data_formats/vgg_face2.py	83.71% <ø> (ø)
datumaro/components/annotation.py	91.30% <42.85%> (-0.29%)	⬇️
datumaro/components/exporter.py	86.69% <70.00%> (-0.33%)	⬇️
datumaro/components/dataset.py	82.80% <100.00%> (+0.04%)	⬆️
datumaro/plugins/data_formats/datumaro/base.py	92.36% <100.00%> (+3.32%)	⬆️
datumaro/util/meta_file_util.py	93.54% <100.00%> (+28.91%)	⬆️

... and 5 files with indirect coverage changes

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[vinnamkim]

• Do not merge until Refactor: change Exporter::apply() to Exporter::_apply_impl() #1013 is merged.

[vinnamkim]

LGTM.