initial_rank = np.argsort(original_dist).astype(np.int32)

[PayneYong]

Hello!
When I run the example ResNet-50 + Global Loss on Market1501, I met the error about Memory Error when it came to the Re-Ranking. Here is the link https://github.com/huanghoujing/AlignedReID-Re-Production-Pytorch. The memory is 8G of my ubuntu. Could you give some tips to solve the Memory Error.Thank you very much!

[hamidjon1376]

Hello!
When I run the example ResNet-50 + Global Loss on Market1501, I met the error about Memory Error when it came to the Re-Ranking. Here is the link https://github.com/huanghoujing/AlignedReID-Re-Production-Pytorch. The memory is 8G of my ubuntu. Could you give some tips to solve the Memory Error.Thank you very much!

hi,
I think if you use little back_size, your problem will solve.
good luck.