[fix] Correct the key name of ‘eval_results’ dictionary for metric 'mmit_mean_average_precision'

[SCZwangxiao]

Motivation

I was training my own multi-label classification dataset using metric mmit_mean_average_precision, and a KeyError occurred:

KeyError: 'mean_average_precision'.

I found that the evaluation results of metric mmit_mean_average_precisionwere stored in the dictionary eval_resultsusing a wrong key name mean_average_precision, which is responsible for this error.

Modification

Corrected the key name of dictionary eval_results in the file mmaction/datasets/base.py .
After this correction, the training process is running normally now.

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[codecov]

Codecov Report

Merging #885 (975bdcd) into master (867b022) will decrease coverage by 0.12%.
The diff coverage is 0.00%.

❗ Current head 975bdcd differs from pull request most recent head 90e50e0. Consider uploading reports for the commit 90e50e0 to get more accurate results

@@            Coverage Diff             @@
##           master     #885      +/-   ##
==========================================
- Coverage   83.28%   83.15%   -0.13%     
==========================================
  Files         129      129              
  Lines        9421     9423       +2     
  Branches     1612     1612              
==========================================
- Hits         7846     7836      -10     
- Misses       1184     1195      +11     
- Partials      391      392       +1     

Flag	Coverage Δ
unittests	83.15% <0.00%> (-0.13%)	⬇️

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Impacted Files	Coverage Δ
mmaction/datasets/base.py	58.86% <0.00%> (-0.85%)	⬇️
mmaction/datasets/pipelines/augmentations.py	92.05% <0.00%> (-1.06%)	⬇️
mmaction/core/evaluation/accuracy.py	92.27% <0.00%> (-0.91%)	⬇️

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[OpenMMLab-Coodinator]

Hi @SCZwangxiao ！First of all, we want to express our gratitude for your significant PR in this project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR.

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