Add a new metric for computing both f-measure and mean AP for detection training

[wonjuleee]

Summary

How to test

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) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

[jaegukhyun]

Can we remove this?

[vinnamkim]

Is there any reason to implement this from scratch? I think there is another way to exploit https://lightning.ai/docs/torchmetrics/stable/pages/overview.html#torchmetrics.MetricCollection. For example,

class MeanAveragePrecisionFMeasure(MetricCollection):
     def __init__(self, **kwargs):
          super().__init__([MeanAveragePrecision(), FMeasure(**kwargs)])
     def compute(self, best_confidence_threshold: float | None = None) -> dict:
          ...

[codecov]

Codecov Report

Attention: Patch coverage is 35.21127% with 46 lines in your changes are missing coverage. Please review.

Project coverage is 82.93%. Comparing base (59014b8) to head (e46175d).

Files	Patch %	Lines
src/otx/core/metrics/fmeasure.py	31.34%	46 Missing ⚠️

Additional details and impacted files

@@                Coverage Diff                 @@
##           releases/2.0.0    #3531      +/-   ##
==================================================
- Coverage           83.04%   82.93%   -0.12%     
==================================================
  Files                 254      254              
  Lines               25263    25330      +67     
==================================================
+ Hits                20980    21007      +27     
- Misses               4283     4323      +40     

Flag	Coverage Δ
py310	?
py311	82.93% <35.21%> (+0.59%)	⬆️

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