Download 3D indoor parsing dataset (S3DIS) here and save in data/Stanford3dDataset_v1.2_Aligned_Version/
.
cd data_utils
python collect_indoor3d_data.py
Processed data will save in data/stanford_indoor3d/
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python NB_nontarget_test_semseg.py --data_path <data_path>
Great thanks for the PointNet++. The attack code is implemented based on the adversarial-attacks-pytorch.
halimacc/pointnet3
fxia22/pointnet.pytorch
charlesq34/PointNet
charlesq34/PointNet++