Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

I don't know what 'cls_prob' means #70

Open
yoojin9649 opened this issue Nov 12, 2021 · 2 comments
Open

I don't know what 'cls_prob' means #70

yoojin9649 opened this issue Nov 12, 2021 · 2 comments

Comments

@yoojin9649
Copy link

Hello. Thanks for sharing your code.

I checked coco_detections.hdf5 file using HDFView.

I understand that imgid_features and imgid_boxes are extracted from Faster R-CNN(with ResNet101).

But, I was wondering how you extracted the cls_prob and what it means.

Thanks for reading!

@cxy990729
Copy link

HI, I have the same problem. Do you know how to solve it now? @yoojin9649

@songbohui
Copy link

Hello. Thanks for sharing your code.

I checked coco_detections.hdf5 file using HDFView.

I understand that imgid_features and imgid_boxes are extracted from Faster R-CNN(with ResNet101).

But, I was wondering how you extracted the cls_prob and what it means.

Thanks for reading!

Hello, excuse me, I recently read the paper Meshed_memory, and I am a little confused about the data set coco_detections.hdf5 he used. Is the value extracted by the imgid_features key the regional feature of the image corresponding to the image_id? Or can you tell me what content this imgid_features is used to save?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants