Comments (3)
Hey. Thanks for reaching out - sounds like a neat idea! I was planning to work on a cleaner implementation at some point, so why not integrate it with Kornia.
If I understand it correctly, I simply need to create a new D2Net nn.Module similar to e.g. the HardNet one.
I'll give it a try in the following weeks and reach out with a PR when it's ready!
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Sounds great, thank you!
A couple of things regarding the format implementation in a separate file. It is good to follow the output format of the
https://kornia.readthedocs.io/en/latest/feature.html#kornia.feature.ScaleSpaceDetector:
with the exception that descriptors are also returned, so 3 outputs.
To create LAFs (kornia format for the local features), you can use function https://kornia.readthedocs.io/en/latest/feature.html#kornia.feature.laf_from_center_scale_ori
where you feed all zeros instead of orientation and D2Net receptive field as a scale parameter.
from d2-net.
Hi Mihai,
Did you have a chance to think about this, or do you need any help?
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Related Issues (20)
- Issue with preprocessing undistorted images; overlap matrix can not be calculated HOT 2
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- unable to download d2_tf.pth HOT 3
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- Question about the image undistortion HOT 7
- Undistorted and preprocessed images for our dataset HOT 1
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