Cannot obtain the reported performance by directly running the run.sh about self-similarity-grouping HOT 4 OPEN

Hi,
Would you mind telling me which parameters did you use for getting Mean AP: 54.3% and top1: 77.3% (best) ? And which version of pytorch did you use? You used two gpus or just one?
thank you!

Sincerely,

from self-similarity-grouping.

The parameters are the same as described in the code, I use pytorch=0.4.1 with two gpus.

from self-similarity-grouping.

The parameters are the same as described in the code, I use pytorch=0.4.1 with two gpus.

Hi thanks for your reply. I'll go try pytorch=0.4.1, torchvision=0.2.0, and as the settings in the code, I will try batch_size=128 instead of batch_size=32 recommended in the readme, which gives out an error during training.

from self-similarity-grouping.

Hi, I tried Duke->Market with default SSG config on 2 RTX2080Ti and I got the following result:

Mean AP: 54.1%
CMC Scores  market1501
top-1          76.1%
top-5          86.9%
top-10         90.2%

 * Finished epoch  30  top1: 76.1%  best: 76.5%

It seems that this result matches with those in several issues, which is apparently lower than what the paper has reported. Has anyone actually obtained the reported performance?

from self-similarity-grouping.