mkdir -p data/ScanObjectNN
cd data/ScanObjectNN
wget http://hkust-vgd.ust.hk/scanobjectnn/h5_files.zip
or
mkdir -p data/ScanObjectNN
cd data/ScanObjectNN
gdown https://drive.google.com/uc?id=1iM3mhMJ_N0x5pytcP831l3ZFwbLmbwzi
tar -xvf ScanObjectNN.tar
Organize the dataset as follows:
data
|--- ScanObjectNN
|--- h5_files
|--- main_split
|--- training_objectdataset_augmentedrot_scale75.h5
|--- test_objectdataset_augmentedrot_scale75.h5
mkdir -p data/ModelNet40Ply2048
cd data/ModelNet40Ply2048
wget https://shapenet.cs.stanford.edu/media/modelnet40_normal_resampled.zip
Organize the dataset as follows:
data
|--- ModelNet40Ply2048
|--- modelnet40_ply_hdf5_2048
cd data && mkdir ShapeNetPart && cd ShapeNetPart
gdown https://drive.google.com/uc?id=1W3SEE-dY1sxvlECcOwWSDYemwHEUbJIS
tar -xvf shapenetcore_partanno_segmentation_benchmark_v0_normal.tar
Organize the dataset as follows:
data
|--- ShapeNetPart
|--- shapenetcore_partanno_segmentation_benchmark_v0_normal
|--- train_test_split
|--- shuffled_train_file_list.json
|--- ...
|--- 02691156
|--- 1a04e3eab45ca15dd86060f189eb133.txt
|--- ...
|--- 02773838
|--- synsetoffset2category.txt
|--- processed
|--- trainval_2048_fps.pkl
|--- test_2048_fps.pkl
mkdir -p data/S3DIS/
cd data/S3DIS
gdown https://drive.google.com/uc?id=1MX3ZCnwqyRztG1vFRiHkKTz68ZJeHS4Y
tar -xvf s3disfull.tar
Organize the dataset as follows:
data
|--- S3DIS
|--- s3disfull
|--- raw
|--- Area_6_pantry_1.npy
|--- ...
|--- processed
|--- s3dis_val_area5_0.040.pkl