[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
I have trained the model and now I want to check how does the model perform on my test dataset. But while training I check that the model does not get generate the required match_pairs because in match_pairs.py what we need is a .txt file with image pairs and a bunch of number written with such as in ./assets/scannet_sample_pairs_with_gt.txt which consists of file names of image pairs but I don't understand how to generate this txt file. Any help?
I have trained the model and now I want to check how does the model perform on my test dataset. But while training I check that the model does not get generate the required match_pairs because in
match_pairs.pywhat we need is a.txtfile with image pairs and a bunch of number written with such as in./assets/scannet_sample_pairs_with_gt.txtwhich consists of file names of image pairs but I don't understand how to generate this txt file. Any help?