[Fix] Update outdated dependencies of mmcv for downloading fine-gym dataset

[yhZhai]

Motivation

The MMCV package now has version 2.0.0, which removes the function mmcv.load(), causing the following error when running tools/data/gym/download_videos.sh:

Traceback (most recent call last):
File "download.py", line 100, in
main(**vars(p.parse_args()))
File "download.py", line 75, in main
youtube_ids = mmcv.load(input).keys()
AttributeError: module 'mmcv' has no attribute 'load'

Modification

Changing pip install mmcv to pip install "mmcv<2.0.0" addresses this problem.

[CLAassistant]

All committers have signed the CLA.

[cir7]

Thanks for your contribution. Related functions have been moved into MMEngine, so the best solution is to update the outdated dependencies.
The modification is also very easy, just globally replace mmcv with mmengine in tools/data/gym/download.py , tools/data/gym/trim_event.py, tools/data/gym/trim_subaction.py and install mmengine in tools/data/gym/download_videos.sh instead of mmcv.
Could you please help us fix the issue in this way?

[yhZhai]

Thanks for your contribution. Related functions have been moved into MMEngine, so the best solution is to update the outdated dependencies.
The modification is also very easy, just globally replace mmcv with mmengine in tools/data/gym/download.py , tools/data/gym/trim_event.py, tools/data/gym/trim_subaction.py and install mmengine in tools/data/gym/download_videos.sh instead of mmcv.
Could you please help us fix the issue in this way?

Hi there, I have made these changes, please check. Thank you for providing such detailed guidance!

[codecov]

Codecov Report

Patch coverage: 80.55% and project coverage change: -0.05 ⚠️

Comparison is base (07259a2) 76.97% compared to head (ab727d8) 76.93%.

❗ Current head ab727d8 differs from pull request most recent head 82dac3c. Consider uploading reports for the commit 82dac3c to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2495      +/-   ##
==========================================
- Coverage   76.97%   76.93%   -0.05%     
==========================================
  Files         159      159              
  Lines       12546    12554       +8     
  Branches     2099     2102       +3     
==========================================
+ Hits         9657     9658       +1     
- Misses       2386     2390       +4     
- Partials      503      506       +3     

Flag	Coverage Δ
unittests	76.93% <80.55%> (-0.05%)	⬇️

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

Impacted Files	Coverage Δ
mmaction/datasets/transforms/wrappers.py	56.34% <0.00%> (-0.91%)	⬇️
mmaction/models/backbones/mvit.py	78.81% <ø> (ø)
mmaction/models/heads/base.py	80.95% <ø> (ø)
mmaction/models/heads/mvit_head.py	82.85% <50.00%> (-7.47%)	⬇️
mmaction/models/utils/blending_utils.py	90.62% <84.61%> (-1.51%)	⬇️
mmaction/__init__.py	100.00% <100.00%> (ø)
mmaction/evaluation/metrics/acc_metric.py	81.29% <100.00%> (-0.70%)	⬇️
mmaction/models/losses/cross_entropy_loss.py	65.27% <100.00%> (+0.48%)	⬆️

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[OpenMMLab-Assistant-004]

Hi @yhZhai,

We'd like to express our appreciation for your valuable contributions to the mmaction2. Your efforts have significantly aided in enhancing the project's quality.
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