bottom-up-features

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trained with faster rcnn and backbone resnet152?

1

Hi, Thanks for the excellent code base. can i get the feature trained with faster rcnn and backbone resnet152? I'm waiting for your reply.

ydyrx-ldm

torch version which is 0.4 really not fit with the project these days. Hope for an update for a newer version~

Yudezhi

torch.jit.frontend.NotSupportedError: slicing multiple dimensions at the same time isn't supported yet

12

when i extracted the features and boxes, i received the error message following. would you please help me to find the reason? thanks a lot. error message: raise NotSupportedError(base.range(), "slicing...

Zhao-Yuting

Does the use the attributes?

3

Hi, thanks for you code. When look through the code, I didn't find the code related to the attributes. So did you implement the attribute parts?

congve1

How can I extract the features using 2000 classes (1600 objects +400 attributes) ?

4

In your code, we find N_CLASSES = 1601, does it mean 1600 objects + 1 background? And how can I extract the features using 2000 classes (1600 objects +400 attributes)?...

Reply1999

Hi, Thank you for providing this code, could you please provide the pretrained model that extract 36 features per image. Best

tgc1997

evaluation results

1

Can this converted model reproduce exactly the same MAP score as that calculated in the original caffe framework?

yuzcccc

module has no attribute

5

Hello, I encountered the following problem when extracting the image features of the custom dataset, can you help me complete the code? Traceback (most recent call last): File "extract_features.py", line...

one-molamola