Download the open6dor_v2.zip and extract it to ./datasets/open6dor_v2/
.
The overall directory structure should be:
│SoFar/datasets/open6dor_v2/
├── task_refine_pos/
│ ├── behind
│ └── ...
├── task_refine_rot/
│ └── rot_ins
└── task_refine_6dof/
├── behind
│ ├── Place_the_apple_behind_the_bottle_on_the_table.__upright
│ └── ...
└── ...
Data file name | Size |
---|---|
open6dor_v2.zip | 1.89 GB |
task_refine_pos | 20.41 GB |
task_refine_rot | 12.84 GB |
task_refine_6dof | 21.99 GB |
Download the images.zip and extract it to ./datasets/6dof_spatialbench/
.
The overall directory structure should be:
│SoFar/datasets/6dof_spatialbench/
├── spatial_data.json
└── images/
├── 0.png
└── ...
Data file name | Size |
---|---|
images.zip | 531.7 MB |
spatial_data.json | 0.8 KB |
Download the OrienText300K.json or OrienText300K_strict.json and place it in ./orientation/data/SO/train.json
.
The strict version is a subset of the original dataset with more strict filtering, including smooth and texture surface.
We use Cap3D as our point clouds data source. Cap3D_pcs data needs to be obtained in pt form from the Cap3D repository.
The overall directory structure should be:
│orientation/data/SO/
├── train.json <---- OrienText300K.json
└── pcs <---- cap3d_pcs
├── 00000054c36d44a2a483bdbff31d8edf.pt
└── ...
Data file name | Size |
---|---|
OrienText300K.json | 189 MB |
OrienText300K_strict.json | 140 MB |
cap3d_pcs | 173.8 GB |