GAP-LAB-CUHK-SZ / GAP-LAB-CUHK-SZ/InstPIFu

Test on pix3d dataset

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Jupyter Notebook
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Description

Thanks for your sharing.
You mention in your paper that you have also trained and tested the network with the pix3d data set and get good results. However, when I tested with pix3d data set, I found that pix3d data set lacks two attributes: data_dict["bbox_size"] and data_dict["obj_cam_center"] , compared with 3dfrond data set.
May I ask how did you obtain these two attributes to complete the test? Or could you show how you test on pix3d?

Thanks!

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Research direction

The issue names the Pix3D and 3D-FRONT datasets and the missing data_dict["bbox_size"] and data_dict["obj_cam_center"] fields, but no files or tests. Start by locating the dataset-loading and evaluation entry points, then document how those fields are obtained and show what a completed Pix3D test run should verify.

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Assessment

Tech stack
jupyter-notebook
Domain
machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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