[Feature] Add optional score threshold option to coco_error_analysis.py

[guyleaf]

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Motivation

In some models, e.g., DETR, it does not support filtering score after prediction.
By adding score threshold option, we could filter the detection bboxes in flexible way.

It is also a common case to visualize the actual performance in dataset.
For example, positive bbox with low confident score will affect the AP and AR going higher.

Modification

• Add optional score threshold to coco_error_analysis.py
• Filter the detection bboxes with the score threshold when user set it.

BC-breaking (Optional)

Does the modification introduce changes that break the backward-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.

Checklist

1. Pre-commit or other linting tools are used to fix the potential lint issues.
2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMPreTrain.
4. The documentation has been modified accordingly, like docstring or example tutorials.

[hhaAndroid]

@guyleaf Please fix the lint

[guyleaf]

@guyleaf Please fix the lint

Done.