Enrich stack trace while importing dataset to improve user experience

[cih9088]

Summary

• Sorted detection results to make it consistent if something went wrong
• Added a verbose error output with what and where Datumaro tried to import
• Changed to consume ctx for all data formats supported officially to lift up one level of stack trace
• Narrowed down exception type for verbosity

How to test

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: 73.28% and project coverage change: +0.03 🎉

Comparison is base (12ddca4) 78.72% compared to head (1d75570) 78.75%.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop     #992      +/-   ##
===========================================
+ Coverage    78.72%   78.75%   +0.03%     
===========================================
  Files          233      233              
  Lines        26505    26626     +121     
  Branches      5273     5283      +10     
===========================================
+ Hits         20866    20970     +104     
- Misses        4413     4424      +11     
- Partials      1226     1232       +6     

Flag	Coverage Δ
macos-11_Python-3.8	77.78% <73.28%> (+0.04%)	⬆️
ubuntu-20.04_Python-3.8	78.72% <73.28%> (+0.02%)	⬆️
windows-2019_Python-3.8	78.63% <73.28%> (+0.03%)	⬆️

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

Impacted Files	Coverage Δ
datumaro/plugins/data_formats/yolo/exporter.py	71.64% <0.00%> (ø)
.../plugins/data_formats/mapillary_vistas/importer.py	75.92% <33.33%> (+0.45%)	⬆️
...ro/plugins/data_formats/sly_pointcloud/exporter.py	82.35% <33.33%> (ø)
...atumaro/plugins/data_formats/kitti_raw/exporter.py	85.76% <40.00%> (ø)
datumaro/plugins/data_formats/celeba/celeba.py	74.53% <43.75%> (+0.48%)	⬆️
datumaro/components/importer.py	89.76% <50.00%> (ø)
datumaro/plugins/data_formats/coco/importer.py	95.41% <50.00%> (+0.04%)	⬆️
datumaro/plugins/data_formats/icdar/exporter.py	88.57% <50.00%> (ø)
datumaro/plugins/data_formats/kitti/exporter.py	77.93% <50.00%> (ø)
datumaro/plugins/data_formats/kitti/importer.py	85.24% <50.00%> (+0.24%)	⬆️
... and 53 more

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[vinnamkim]

LGTM.

[bonhunko]

LGTM! I left a minor comment.