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The Official Deep Learning Framework for Robot Place Learning

Home Page: https://mchancan.github.io/spl

License: GNU General Public License v3.0

Python 9.26% Shell 0.29% Jupyter Notebook 90.46%
autonomous-driving cnn computer-vision convolutional-neural-networks deep-learning deep-neural-networks deepseqslam driving-datasets heuristic-free high-performance-place-recognition lstm navigation place-recognition recurrent-neural-networks rnn robotics route-based-place-recognition sequential-place-learning sequential-place-recognition slam

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deepseqslam's Issues

about train and test

Hello, can your algorithm be trained on a sequence in one place and tested on another sequence in another place?
I want to compare our method with yours, so I have another problem. Place recognition usually includes reference sequence and query sequence, but I cannot find them in your paper. Can you give me some suggestions?

can relative poses be used as positional information?

Hi, thank you for you work.
It seems that the same GPS data is used in both train and test procedure. In the paper says other position sources such as odometry can be used. should i use relative poses or global poses of two different trips?

How to debug

Thanks for sharing the code, I wanted to debug to better understand your work but fire. Fire doesn't seem to support debugging, what should I do?

How to match query and reference

Thanks to your work, there is no matching matrix used in the paper, and I don't understand how to match query and reference to determine if it is correct.

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