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License: Apache License 2.0
Zillow Indoor Dataset
License: Apache License 2.0
Hi, I met an error when I downloaded the dataset. Have you have met similar errors? Thank you!
I followed the readme and here is what I have done:
1 ) conda create -n zind python=3.6 (linux)
2) git clone and enter the folder, install: pip install -r requirements.txt
3) python download_data.py -s <server_token> -o <output_folder>
Do you have any plan and tiemline?
It is written in the list of terms but not in the tree.
Hi, thank you for providing this dataset.
In your paper says:
In total, the splits consisted of 10,305, 946, and 889 panoramas for training, validation, and testing, respectively.
and
As a result, for the purposes of training and evaluation with HNet, we separated our layout annotations into those that had reasonable expectation of recovery from a single view point (“simple”), and those that do not (“complex”).
However, it seems that you only provided the partition(zind_partition.json) of the homes and did not provide which panorama is simple or complex. In order to be consistent with your evaluation of HNet, could you please provide a more detailed partition? Thank you.
I didn't see any code that allows the rendering out of the 3D floor plans shown in Fig 1 of the paper and the top of the ReadMe. Will this repo support that feature or is that out of scope?
Hi, Thanks for the great work! I wonder can we generate point cloud of the scene based on the raw data of Zillow Indoor Dataset?
Hello,
First thanks so much for your great work!
I'm wondering if it is possible for you to provide the code to generate the zind_data.json file, because we want to generate similar annotated files and floor plans for our dataset.
Can you please provide the steps to run this code to get the test outputs
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