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SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)

License: Apache License 2.0

Python 100.00%
3d-mapping deep-learning pose-estimation self-supervised-learning

snap's Issues

Dataset for evaluation

Hi, can you share the steps for setting up the evaluation dataset?
I don't know where to download the dataset and get the following error :

ValueError: Could not find any version for location osaka-n14_streetside_sceneviewpair_20views_trekkerquery_eval at ./datasets\lemming_streetview\osaka-n14_streetside_sceneviewpair_20views_trekkerquery_eval.

Some questions

Hello! I really enjoyed the object snap you shared on GitHub, and it provided me with many valuable insights. Here, I have some questions about the experimental data in the project.
When I looked at your code and documentation, I found no lab data attached to the project. Missing data can make it difficult to understand how the model works and evaluate its performance. Therefore, I am interested in the composition of your experimental data set and some of the sample data.
If it is convenient for you, could you share some details about the experimental data? For example, the structure of the dataset. Or, can you provide some sample of dataset so that I can better understand the structure and contents of the dataset? Thank you!

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