Datasets:
Hui commited on
Commit ·
63f3695
1
Parent(s): 6606a71
Add MANO tabletop archive
Browse files- README.md +25 -6
- mano_tabletop.zip +3 -0
README.md
CHANGED
|
@@ -69,6 +69,7 @@ The repository contains the following archive groups:
|
|
| 69 |
| `allegro_dataset_1.zip` | Allegro Hand grasping motion sequences. |
|
| 70 |
| `allegro_dataset_2.zip` | Additional Allegro Hand grasping motion sequences. |
|
| 71 |
| `allegro_tabletop.zip` | Allegro Hand tabletop grasping motions. Objects are placed on a table and the hand approaches from above. |
|
|
|
|
| 72 |
| `sharpa_tabletop.zip` | SharpA Hand tabletop grasping motions. Objects are placed on a table and the hand approaches from above. |
|
| 73 |
| `mano_dataset_1.zip.part00`, `mano_dataset_1.zip.part01` | Split parts of `mano_dataset_1.zip`, containing MANO hand grasping motion sequences. |
|
| 74 |
| `mano_dataset_2.zip.part00`, `mano_dataset_2.zip.part01` | Split parts of `mano_dataset_2.zip`, containing additional MANO hand grasping motion sequences. |
|
|
@@ -152,12 +153,12 @@ recorded motion sequences.
|
|
| 152 |
|
| 153 |
## Tabletop sequences
|
| 154 |
|
| 155 |
-
`allegro_tabletop.zip` and `sharpa_tabletop.zip` contain
|
| 156 |
-
tabletop setting. In the original diverse-motion archives,
|
| 157 |
-
objects from different directions to generate broad
|
| 158 |
-
coverage. In the tabletop archives, each object is placed
|
| 159 |
-
approaches the object from above. This setting is useful
|
| 160 |
-
focus on tabletop grasping scenes.
|
| 161 |
|
| 162 |
The tabletop archives are organized as follows:
|
| 163 |
|
|
@@ -201,10 +202,14 @@ sharpa_tabletop.zip
|
|
| 201 |
`-- ...
|
| 202 |
```
|
| 203 |
|
|
|
|
|
|
|
|
|
|
| 204 |
Each tabletop `.npy` file contains a single motion sequence:
|
| 205 |
|
| 206 |
```python
|
| 207 |
data = np.load("allegro_0.npy", allow_pickle=True).item()
|
|
|
|
| 208 |
data = np.load("sharpa_0.npy", allow_pickle=True).item()
|
| 209 |
```
|
| 210 |
|
|
@@ -221,6 +226,20 @@ For Allegro tabletop sequences:
|
|
| 221 |
- `data[object_id]["rot"]`: NumPy array of shape `(frame_num, 3)`. Object
|
| 222 |
orientation sequence in axis-angle representation.
|
| 223 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 224 |
For SharpA tabletop sequences:
|
| 225 |
|
| 226 |
- `data["right_hand"]["trans"]`: NumPy array of shape `(frame_num, 3)`. Wrist
|
|
|
|
| 69 |
| `allegro_dataset_1.zip` | Allegro Hand grasping motion sequences. |
|
| 70 |
| `allegro_dataset_2.zip` | Additional Allegro Hand grasping motion sequences. |
|
| 71 |
| `allegro_tabletop.zip` | Allegro Hand tabletop grasping motions. Objects are placed on a table and the hand approaches from above. |
|
| 72 |
+
| `mano_tabletop.zip` | MANO hand tabletop grasping motions. Objects are placed on a table and the hand approaches from above. |
|
| 73 |
| `sharpa_tabletop.zip` | SharpA Hand tabletop grasping motions. Objects are placed on a table and the hand approaches from above. |
|
| 74 |
| `mano_dataset_1.zip.part00`, `mano_dataset_1.zip.part01` | Split parts of `mano_dataset_1.zip`, containing MANO hand grasping motion sequences. |
|
| 75 |
| `mano_dataset_2.zip.part00`, `mano_dataset_2.zip.part01` | Split parts of `mano_dataset_2.zip`, containing additional MANO hand grasping motion sequences. |
|
|
|
|
| 153 |
|
| 154 |
## Tabletop sequences
|
| 155 |
|
| 156 |
+
`allegro_tabletop.zip`, `mano_tabletop.zip`, and `sharpa_tabletop.zip` contain
|
| 157 |
+
grasping motions in a tabletop setting. In the original diverse-motion archives,
|
| 158 |
+
the hand approaches objects from different directions to generate broad
|
| 159 |
+
hand-object interaction coverage. In the tabletop archives, each object is placed
|
| 160 |
+
on a table and the hand approaches the object from above. This setting is useful
|
| 161 |
+
for applications that focus on tabletop grasping scenes.
|
| 162 |
|
| 163 |
The tabletop archives are organized as follows:
|
| 164 |
|
|
|
|
| 202 |
`-- ...
|
| 203 |
```
|
| 204 |
|
| 205 |
+
`mano_tabletop.zip` follows the same directory structure and contains
|
| 206 |
+
`mano_0.npy`, `mano_1.npy`, ... sequence files.
|
| 207 |
+
|
| 208 |
Each tabletop `.npy` file contains a single motion sequence:
|
| 209 |
|
| 210 |
```python
|
| 211 |
data = np.load("allegro_0.npy", allow_pickle=True).item()
|
| 212 |
+
data = np.load("mano_0.npy", allow_pickle=True).item()
|
| 213 |
data = np.load("sharpa_0.npy", allow_pickle=True).item()
|
| 214 |
```
|
| 215 |
|
|
|
|
| 226 |
- `data[object_id]["rot"]`: NumPy array of shape `(frame_num, 3)`. Object
|
| 227 |
orientation sequence in axis-angle representation.
|
| 228 |
|
| 229 |
+
For MANO tabletop sequences:
|
| 230 |
+
|
| 231 |
+
- `data["right_hand"]["trans"]`: NumPy array of shape `(frame_num, 3)`. Wrist
|
| 232 |
+
position sequence.
|
| 233 |
+
- `data["right_hand"]["rot"]`: NumPy array of shape `(frame_num, 3)`. Wrist
|
| 234 |
+
orientation sequence in axis-angle representation. For MANO, these are the
|
| 235 |
+
first 3 dimensions of the MANO parameter.
|
| 236 |
+
- `data["right_hand"]["pose"]`: NumPy array of shape `(frame_num, 45)`. The
|
| 237 |
+
remaining 45 dimensions of the MANO parameter.
|
| 238 |
+
- `data[object_id]["trans"]`: NumPy array of shape `(frame_num, 3)`. Object
|
| 239 |
+
position sequence.
|
| 240 |
+
- `data[object_id]["rot"]`: NumPy array of shape `(frame_num, 3)`. Object
|
| 241 |
+
orientation sequence in axis-angle representation.
|
| 242 |
+
|
| 243 |
For SharpA tabletop sequences:
|
| 244 |
|
| 245 |
- `data["right_hand"]["trans"]`: NumPy array of shape `(frame_num, 3)`. Wrist
|
mano_tabletop.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ce4f884892147b1419716def4813010f011c5b8bf67a1f15db7fcee4c55142c
|
| 3 |
+
size 18920168549
|