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Hi @huanghoujing ,
I try to train model on Market1501, but evaluation result is worse than yours.
Your score is mAP=75.29 and rank-1=89.04 on Market1501-S1, but my score is mAP=64.90 and rank-1=81.59.
My training parameters are as following (refer to your description on github):
python3 script/experiment/train.py
-d '(0,)'
--only_test false
--dataset market1501
--last_conv_stride 1
--normalize_feature false
--exp_dir out
--steps_per_log 10
--epochs_per_val 5
other parameters are default,
--trainset_part trainval
--lr_decay_type exp
--exp_decay_at_epoch 151
--total_epochs 300
I train model on Python 2.7 and Pytorch 0.3, and pip install with requirements. But I don't know why evaluation result is worse than yours. Could you give me some hints? Thanks.
The text was updated successfully, but these errors were encountered:
Hi @huanghoujing ,
I try to train model on Market1501, but evaluation result is worse than yours.
Your score is mAP=75.29 and rank-1=89.04 on Market1501-S1, but my score is mAP=64.90 and rank-1=81.59.
My training parameters are as following (refer to your description on github):
python3 script/experiment/train.py
-d '(0,)'
--only_test false
--dataset market1501
--last_conv_stride 1
--normalize_feature false
--exp_dir out
--steps_per_log 10
--epochs_per_val 5
other parameters are default,
--trainset_part trainval
--lr_decay_type exp
--exp_decay_at_epoch 151
--total_epochs 300
I train model on Python 2.7 and Pytorch 0.3, and pip install with requirements. But I don't know why evaluation result is worse than yours. Could you give me some hints? Thanks.
The text was updated successfully, but these errors were encountered: