[Fix] Deprecating old type alias due to new version of numpy

[Xiangxu-0103]

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Motivation

Please describe the motivation of this PR and the goal you want to achieve through this PR.

Modification

• Replace np.int with np.int64
• Replace np.bool with bool

BC-breaking (Optional)

Does the modification introduce changes that break the back-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)

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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.
4. The documentation has been modified accordingly, like docstring or example tutorials.

[codecov]

Codecov Report

Patch coverage: 60.50% and project coverage change: +0.50 🎉

Comparison is base (d84e081) 46.37% compared to head (1e2e391) 46.87%.

❗ Current head 1e2e391 differs from pull request most recent head c452bb1. Consider uploading reports for the commit c452bb1 to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x    #2339      +/-   ##
===========================================
+ Coverage    46.37%   46.87%   +0.50%     
===========================================
  Files          259      264       +5     
  Lines        21390    22193     +803     
  Branches      3379     3491     +112     
===========================================
+ Hits          9919    10403     +484     
- Misses       10827    11124     +297     
- Partials       644      666      +22     

Flag	Coverage Δ
unittests	46.87% <60.50%> (+0.50%)	⬆️

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

Impacted Files	Coverage Δ
mmdet3d/datasets/s3dis_dataset.py	78.08% <ø> (ø)
mmdet3d/datasets/scannet_dataset.py	82.75% <ø> (ø)
mmdet3d/datasets/transforms/__init__.py	100.00% <ø> (ø)
mmdet3d/evaluation/__init__.py	100.00% <ø> (ø)
mmdet3d/evaluation/metrics/seg_metric.py	62.50% <0.00%> (ø)
mmdet3d/models/dense_heads/centerpoint_head.py	21.77% <0.00%> (ø)
mmdet3d/models/dense_heads/fcaf3d_head.py	16.23% <ø> (ø)
mmdet3d/models/detectors/mink_single_stage.py	43.58% <ø> (ø)
mmdet3d/testing/data_utils.py	70.83% <ø> (ø)
mmdet3d/models/voxel_encoders/voxel_encoder.py	38.28% <7.14%> (-12.26%)	⬇️
... and 43 more

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