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File "train_multi.py", line 132, in main
performance, dm.return_testdataset_by_name(name),
File "E:\jpf\ABD-Net.next-master\ABD-Net.next-master\torchreid\data_manager.py", line 33, in return_testdataset_by_name
self.testdataset_dict[name]['query_flip'], self.testdataset_dict[name]['gallery_flip']
KeyError: 'query_flip'
I also attach it here:
During testing, the images are re-sized to 384 × 128 and augmented only with normalization. Both the original and the horizontally flipped images are fed into the model, and the final feature embedding is the average of the two outputs.
Do you know what it is?thank you
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