[CI] Loose the version restriction of numba

[JingweiZhang12]

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Motivation

The numpy0.53.0 does not support numpy>=1.24.0, so we should use the latest numba.
numba/numba#8691

The reason of using numpy==0.53.0 before

Modification

Please briefly describe what modification is made in this PR.

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)

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

[codecov]

Codecov Report

Patch coverage: 54.70% and project coverage change: +0.61 🎉

Comparison is base (d84e081) 46.37% compared to head (aa6c70e) 46.98%.

❗ Current head aa6c70e differs from pull request most recent head d473aa0. Consider uploading reports for the commit d473aa0 to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x    #2416      +/-   ##
===========================================
+ Coverage    46.37%   46.98%   +0.61%     
===========================================
  Files          259      275      +16     
  Lines        21390    22898    +1508     
  Branches      3379     3565     +186     
===========================================
+ Hits          9919    10759     +840     
- Misses       10827    11454     +627     
- Partials       644      685      +41     

Flag	Coverage Δ
unittests	46.98% <54.70%> (+0.61%)	⬆️

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/datasets/waymo_dataset.py	17.72% <ø> (ø)
mmdet3d/evaluation/__init__.py	100.00% <ø> (ø)
...tion/functional/waymo_utils/prediction_to_waymo.py	0.00% <0.00%> (ø)
mmdet3d/evaluation/metrics/instance_seg_metric.py	94.44% <ø> (ø)
mmdet3d/evaluation/metrics/seg_metric.py	62.50% <0.00%> (ø)
mmdet3d/evaluation/metrics/waymo_metric.py	8.11% <0.00%> (ø)
mmdet3d/models/dense_heads/centerpoint_head.py	21.77% <0.00%> (ø)
... and 72 more

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