Add Rust API to optimize COCOPageMapper performance

[vinnamkim]

Summary

• Ticket no. 117181
• Migrate COCOPageMapper algorithm from Python to Rust implementation

Python impl.	Rust impl.

This improvement shows that

1. The time from starting the Python script to creating the COCO page map is decreased from ~200 secs (Python impl.) to ~10 secs (Rust impl.).
2. Memory cost for constructing the COCO page map is decreased from ~350 Mb (Python impl.) to ~260 Mb (Rust impl.).

How to test

Existing COCO tests with stream=True cover these changes.

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: 85.18% and project coverage change: -0.04% ⚠️

Comparison is base (c84a13d) 80.00% compared to head (c95f9b8) 79.97%.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #1120      +/-   ##
===========================================
- Coverage    80.00%   79.97%   -0.04%     
===========================================
  Files          258      258              
  Lines        29329    29140     -189     
  Branches      5745     5709      -36     
===========================================
- Hits         23465    23304     -161     
+ Misses        4516     4506      -10     
+ Partials      1348     1330      -18     

Flag	Coverage Δ
macos-11_Python-3.8	79.05% <85.18%> (-0.04%)	⬇️
ubuntu-20.04_Python-3.8	79.95% <85.18%> (-0.04%)	⬇️
windows-2019_Python-3.8	79.88% <85.18%> (-0.04%)	⬇️

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Files Changed	Coverage Δ
.../datumaro/plugins/data_formats/coco/page_mapper.py	82.35% <85.18%> (-2.41%)	⬇️

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[bonhunko]

LGTM!

[wonjuleee]

LGTM