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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!
The text was updated successfully, but these errors were encountered:
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!
The text was updated successfully, but these errors were encountered: