Excessive gap in mAR indicators

[haomingHu-dd]

I will pull it locally, configure the running environment, get the model file through training, and then use the evaluation.py file to evaluate. The mAP indicators obtained are all greater than 80% (in hard mode), but only 64% in the paper, whether the code It is caused by different versions, or the data set has changed.