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Unofficial code of paper "Improving description-based person re-identification by multi-granularity image-text alignment." by Niu et al. (partially implemented)

Jupyter Notebook 71.25% Python 28.61% Shell 0.14%
pytorch re-identification image-text-matching

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text-to-image-reidentification's Issues

Did you upload less files?

You set the path of relevant files in the ’args.py‘ file, but did not give the download path of these files. Run 'run.py' as you say , it does not run .
Whar should i do? Thanks.

Try specify data folder by ```--data_root $DATAROOT```.

Thanks for your reply,.
In fact, I have tried following your steps, but found that just changing the root directory path does not seem to work, because dist_fn_euclidean_imgbb_resnet50_capbb_bigru_embed_size_2048_batch_64_lr_0.0002_step_size_15_captype_sent_img_meltlayer_1_np_False is missing, How could I get it?
Training from --load_model_path 0 will get the same result.

Originally posted by @cuiaiyu in #1 (comment)

Pretrained Model

@cuiaiyu hi thanks for opensourcing the code base can you please share the trained weight files

Thanks in advance

dataset link

The current dataset link is invalid. Could you provide another dataset link?

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