Firstly, in Alignedreid_demo.py Line 21, we don't import os while using the following code
os.environ['CUDA_VISIBLE_DEVICES'] = "0"
Second, is there anything noteworthy? I follow the original config and run python train_alignedreid.py -d market1501 -a resnet50 --test_distance global_local --reranking --labelsmooth, finally I got the follow result:
Computing local distance...
Using global and local branches for reranking
using GPU to compute original distance
starting re_ranking
Computing CMC and mAP for re_ranking
Results ----------
mAP(RK): 46.7%
CMC curve(RK)
Rank-1 : 63.3%
Rank-5 : 76.7%
Rank-10 : 82.0%
Rank-20 : 86.8%
==> Best Rank-1 63.3%, achieved at epoch 300
Finished. Total elapsed time (h:m:s): 6:26:50. Training time (h:m:s): 6:01:18.
It is not normal, and I notice that my GLoss and Lloss is near to 0, is it normal? And if not, Can you give me some advice?
Firstly, in Alignedreid_demo.py Line 21, we don't import os while using the following code
os.environ['CUDA_VISIBLE_DEVICES'] = "0"
Second, is there anything noteworthy? I follow the original config and run
python train_alignedreid.py -d market1501 -a resnet50 --test_distance global_local --reranking --labelsmooth
, finally I got the follow result: Computing local distance... Using global and local branches for reranking using GPU to compute original distance starting re_ranking Computing CMC and mAP for re_ranking Results ---------- mAP(RK): 46.7% CMC curve(RK) Rank-1 : 63.3% Rank-5 : 76.7% Rank-10 : 82.0% Rank-20 : 86.8%==> Best Rank-1 63.3%, achieved at epoch 300 Finished. Total elapsed time (h:m:s): 6:26:50. Training time (h:m:s): 6:01:18.
It is not normal, and I notice that my GLoss and Lloss is near to 0, is it normal? And if not, Can you give me some advice?