SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Extract matching features from pairs of images using a specialized neural network for image analysis.
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SuperGluePretrainedNetwork has 4k stars on GitHub. It has been forked 759 times. SuperGluePretrainedNetwork is written mainly in Python. It has been in active development since 2020. Its main topics are deep-learning, feature-matching, graph-neural-networks, pose-estimation.
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
SuperGluePretrainedNetwork is an open-source project.
Yes. SuperGluePretrainedNetwork is free and open source — you can use, modify and self-host it.
SuperGluePretrainedNetwork is written mainly in Python.
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