Closed qinglew closed 2 years ago
In
utils/data_loaders.py
, the dataset class always return the partial point cloud and grount truth point cloud. But when I try to inference using pretrained models, an error occurs. This is because for testing split, there is no ground truth data, i.e./path/to/datasets/Completion3D/test/gt
doesn't exist. The dataset is download from the link you provided. So, could you please provide the corresponding ground truth of testing split of completion3d?
I'm sorry there is no ground truth files of testing split on Completion3D, you can change the data_loader to avoid the inference error.
In
utils/data_loaders.py
, the dataset class always return the partial point cloud and grount truth point cloud. But when I try to inference using pretrained models, an error occurs. This is because for testing split, there is no ground truth data, i.e./path/to/datasets/Completion3D/test/gt
doesn't exist. The dataset is download from the link you provided. So, could you please provide the corresponding ground truth of testing split of completion3d?