AttributeError: 'Namespace' object has no attribute 'dataset' about reltr HOT 4 CLOSED

Same issue here

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Hi all,

sorry for the late reply. I got the point. The error is caused by the version change. Now I have fixed the inference code. Actually, nothing changed only adding some attributes for the initialization.

Now I can run inference.py successfully:) You could have a try now.

thanks for the update!

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thanks！it’s nice job，but when i use this find another problem
my datasets is coco OpenEnded_mscoco_val2014_questions，
specially，for “COCO_val2014_000000339761.jpg”this picture，i get this：
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Input In [9], in <cell line: 70>()
103 topk = 10
104 keep_queries = torch.nonzero(keep, as_tuple=True)[0]
--> 105 indices = torch.argsort(-probas[keep_queries].max(-1)[0] * probas_sub[keep_queries].max(-1)[0] * probas_obj[keep_queries].max(-1)[0])[:topk]
106 keep_queries = keep_queries[indices]
108 # use lists to store the outputs via up-values

RuntimeError: cannot perform reduction function max on tensor with no elements because the operation does not have an identity
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There are other pictures that will do the same，could you please solve this [problem?this dataset is from (https://okvqa.allenai.org/download.html).

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The error shows no relationships above the threshold are found by RelTR.

When you are using a customized image or image from other datasets. It could be that the entities in the image are not included in the VG-150 classes (also relationships).

In this case, you could lower the threshold in Line137/138 (I set it to 0.3, for your example, I use 0.1 and get something interesting). However, the lower threshold means that RelTR is not confident in the output so there could be some dummy triplets.

I will also release the pre-trained model on OpenImages which contains more than 250 object categories in the future.

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