DomainAdaptiveReID
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lsongx
when I load your pre-trained weight,get this problem. Some solutions that provided online didn't work for it, can you provide some suggestions? My setting: Python3.6+PyTorch0.4.1
# DBSCAN cluster tri_mat = np.triu(rerank_dist, 1) # tri_mat.dim=2 tri_mat = tri_mat[np.nonzero(tri_mat)] # tri_mat.dim=1 tri_mat = np.sort(tri_mat,axis=None) top_num = np.round(args.rho*tri_mat.size).astype(int) eps = tri_mat[:top_num].mean() print('eps in cluster: {:.3f}'.format(eps)) cluster = DBSCAN(eps=eps,min_samples=4,metric='precomputed',...
1.Does it have to run in the cuda 9? 2. pre-trained models on Market1501 from GoogleDrive,and i run selftraining.py got this UnicodeDecodeError: 'utf-8' codec can't decode bytes in position 0-1:...
Hi, I would like to know have your paper been published in conference or journal? I would like to cite the conference/journal name in my paper. Thanks.
in your selftrain.py, the len(dataloader) is about 20 (each iteration len(dataloader) and len(images)is a little different)and the training is very fast. It seems that you choose a part of image...
When I use your code to run in larger dataset, it consumed lots of time to caculate the re_ranking. I wonder how much time you consume in it when training
Dear author, Thanks for your excellent work and code release! when reading your paper, I got confused with the calculation of the distance matrix using by DBSCAN. We aim to...
Usually rerank is used in one dataset,but in your rerank.py you rerank source feature with target feature? Why? Or my understanding is fault?
Why the last parameter is not saved on selftraining.py @LcDog
