This is the official implementation in PyTorch for AAAI2022 paperGuide Local Feature Matching by Overlap Estimation and also contain a image matching toolbox.
License: Other
Your code appears to include evaluations of OETR with LoFTR and COTR. These comparisons don’t seem to appear in your paper, why might that be? Do you have the numbers to hand?
When I run your training code, the nan value appeared in the 15th epoch, I want to know what caused it?
I can not find the foldar.
Please teach me where the folder is.
Thanks for your excellent work!
The dataset download link of 'D2-Net preprocessed images' provided in the 'Training on Megadepth' is invalid, could you update it?
I made a demo in Colab to easily test the model on a couple of images.
Hope you find it useful!
https://colab.research.google.com/drive/1D7d3rDxBHZKWRr_al3mUv_ByKkQ-kr1H
Hello, there is no problem with the torch version in the Readme, right? is this torch==0.3.1?
Based on your architechture , can this model work with more than 2 images if i increase the decoder blocks
?
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