GAP-LAB-CUHK-SZ / GAP-LAB-CUHK-SZ/InstPIFu
Test on pix3d dataset
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- Jupyter Notebook
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- 115
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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.
Written by the indexing model from the issue text.
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