Comments (5)
Hi,
Have you checked if the versions of pytorch-ignite
and torch
match? And it seems the UserWarning is not a severe issue - you could probably just ignore it.
All the best
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Thanks for your help. And i have another question , i don‘t know how to generate *keypts.npy , and when I finish processing the data,the fold log_kpts is empty. Is this normal?
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The *.keypts.npy
files are used for testing and have been included in the processed benchmark, which can be downloaded here.
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Thanks for your reply. I now want to generate a corresponding descriptor based on my data. I read this paper you wrote and think I only need to give a point of interest to generate a multi-view descriptor, but I don't know how to generate it now. I read the readme file, there is only one corresponding command, “python main_mvdesc.py test configs/ours_3dmatch.yaml ” , but the *.keypts.npy files are needed, and you said this is for testing. I just want to get the descriptors now , What should I do?
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Hi,
Each *.keypts.npy
file is a 1-D integer array of keypoint indices, which you can specify for your data. You may refer to this data loader
All the best
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Related Issues (8)
- Error on compile with Ninja HOT 3
- A question about “soft_rasterize_cuda” HOT 1
- A question about "cloud_bin_*.keypts.npy" HOT 1
- Can you give the data from 0.00-0.20 results HOT 6
- question about the "soft-view pooling"? HOT 4
- A question about how to render a depth image of a complete point cloud. HOT 1
- ImportError: No module named 'soft_rasterize_cuda'
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