zouchuhang / LayoutNet

Torch implementation of our CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"
http://openaccess.thecvf.com/content_cvpr_2018/papers/Zou_LayoutNet_Reconstructing_the_CVPR_2018_paper.pdf
MIT License
418 stars 93 forks source link

Creating Ground Truth #38

Open NikoCiminelliTufts opened 2 years ago

NikoCiminelliTufts commented 2 years ago

Hi, thank you for your wonderful work. I would like to create a new dataset for this architecture and was wondering how you created the GT.

I am having trouble interpreting the mat files for the ground truth and how to reproduce them for a series of new images.

Thank you so much for your time in advance, and I sincerely appreciate whatever insights you are able to give.

TaisePu commented 2 years ago

此条来自邮箱的自动回复。您好,普骏程已经收到您的来信,会尽快查阅并回复,谢谢。

NikoCiminelliTufts commented 2 years ago

Thank you!

zouchuhang commented 2 years ago

@NikoCiminelliTufts Thank you for your interest in our work. I believe the ".mat" file you mentioned is the 3D box room parameter. We actually have an upgraded LayoutNet v2 architecture: https://github.com/zouchuhang/LayoutNetv2 that shows better performance, which includes improved data loading I/O. Feel free to try it out!

NikoCiminelliTufts commented 2 years ago

Hi thank you so so much!