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SiLK - Lite

Simple Learned Keypoint
This is a simple implementation of SiLK.
SiLK Offical Version

[Arxiv Paper]
Authors : Pierre Gleize, Weiyao Wang and Matt Feiszli
Conference : ICCV 2023

Features:

  • Block Computation
  • Support one GPU to train
  • Very simple to learn (Close to the formulas on the paper)

Requirements

  • Torch>=2.0.0
  • OpenCV
  • Numpy

License

SiLK-lite is licensed under a GNU General Public License (Version 3), as specified in the LICENSE file.

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A simple implementation of SiLK only used pytorch

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