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CALC

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Convolutional Autoencoder for Loop Closure. A fast deep learning architecture for robust SLAM loop closure, or any other place recognition tasks. Download our pre-trained model with ./DeepLCD/get_model.sh, or train your own!

This repo is separated into two modules. TrainAndTest for training and testing models, and DeepLCD, which is a C++ library for online loop closure or image retrieval. See their respective READMEs for details.

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Convolutional Autoencoder for Loop Closure

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  • Python 56.7%
  • C++ 30.8%
  • CMake 10.6%
  • Shell 1.8%
  • Makefile 0.1%