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Stitch images using SuperGlue features instead of mouse-clicked points. Compute the homography through RANSAC or MSAC. Stitch more than two images using mouse-clicked points. Handle the seams. {SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)}
Using SuperGlue (from Magic Leap team) in Visual Place Recognition tasks. Providing full workflow from videos/images to end-to-end API and step-by-step how to use all codes.
[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.
Evaluating context-sensitive word meaning understanding in pair of sentences for BERT and GloVe+BiLSTM using WiC dataset | A3 for COL772 course (Fall 21)
Another way to not go to space today! What can be more Kerbal than more Explosions!* *Now with SuperKlue Implosions!* KaboOom! (BOOM) is an add-on for Kerbal Space Program.
This repository consists of two major components for a project called E-waste recycling system. One component is used to generate a labelled dataset to train U-Net segmentation network. The second component is used to perform non-rigid registration using Demon's algorithm.