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[TPAMI 2024] Official repo of "ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments"

License: MIT License

Python 99.40% Shell 0.60%
embodied-ai vision-and-language topological-maps vision-language-navigation vision-language-pre-training

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etpnav's Issues

Feature Extraction Codes for Pretraining

Hai An,

Thanks for your ETPNav's open-sourced codes. ETPnav is a fascinating work! I open this issue to ask where to find the feature processing codes for pertaining. Or will you plan to open this part of codes?

R2R Test Unseen

Thank you so much for the great work you do.
I reproduced ETPnav on the R2R and RxR datasets according to the file readme.md.
But I only get the results for the validation set, how can I get the results of the Test Unseen?

requirements.txt

I want to ask a question about the file "requirements.txt", what is the following line of files, and other similar lines:
attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1640799537051/work

How to visualize ETPNav inference results using Habitat-Sim

Hello,

I am currently working on visualizing the inference results of ETPNav using the Habitat framework. I came across the images_to_video function from habitat.utils.visualizations.utils and would like to understand how to use it effectively for this purpose.

Could you provide guidance or an example on how to use images_to_video to create a video from the inference images produced by ETPNav?

Thank you for your assistance!

No such file or directory: 'data/connectivity_graphs.pkl'

I wanted to save the navigation results as video, so I changed the yaml configuration as:
VIDEO_OPTION = [tensorboard,disk]

However, it got an error during running: "No such file or directory: 'data/connectivity_graphs.pkl' "

So where can I get this pkl file?

Pre-trained data and code for RXR

Dear author,

Thanks for your great work and the open-sourced codes. I open this issue to ask where to find the pre-trained data and code for RxR. Or would you please share this part?

doubt of waypoint generation

Dear author, I have some doubt of waypoint generation, why point each image to the center, and why do the images order clockwise and then counterclockwise? Can you give me some advice?
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