If you want to download :
- tu_berlin
- modelnet
- shapenet_partseg
- mnist
- cifar10
- quick_draw
You can use download_datasets.py:
python download_datasets.py -f [path to data folder] -d [Dataset to download]
For Scannet, please refer to http://www.scan-net.org/ . In segmentation task, We follow pointnet++ preprocessed data (Onedrive link).
For S3DIS, please refer to http://buildingparser.stanford.edu/dataset.html#Download
For big scene point cloud datasets like Scannet and S3DIS, we split them into small blocks for training:
python3 split_data/scannet_split.py
python3 split_data/s3dis_prepare_label.py
python3 split_data/s3dis_split.py
Then, the .h5 files can be generated by:
python3 prepare_[dataset]_data.py -f [Path to data folder]
If you want to use extra features, such as RGB, you can use:
python3 prepare_multiChannel_seg_data.py -f [Path to data folder] -c [Channel number]