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Zero recall value while evaluating on LMO dataset #93
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Maybe you should check your full running log to see where the problem is. |
The features from the backbone is a tensor of zeros. (On line 121 in GDRN.py). Because of this, all further steps output zero tensor.
The log says all weights (backbone, pnp_net and rot_head) from the checkpoint are loaded correctly. Still the output of backbone is zero tensor.
Thank you, |
Yes. But I installed from source. It seems you were running on windows, could you run the code on Ubuntu? |
Thank you for the suggestion @wangg12. I figured out the issue. I resolved this issue by loading the checkpoint again after line 550. Could you please tell me what does each metric in the first column stand for, i.e. what does Thank you, |
Here https://github.com/THU-DA-6D-Pose-Group/GDR-Net/blob/main/core/gdrn_modeling/gdrn_custom_evaluator.py#L772 you can find what those metrics mean. |
Hello @wangg12
I tried to evaluate the GDR-Net model on LMO dataset using the pretrained models you shared on OneDrive.
I used following command to run the valuation:
However, it is showing zero recall values. Please see the screenshot below.
Could you please help?
Thank you,
Supriya
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