Skip to content

Latest commit

 

History

History
32 lines (23 loc) · 800 Bytes

README.md

File metadata and controls

32 lines (23 loc) · 800 Bytes

Dataset

We evaluate our RGB-D video prediction model on three datasets: 1. DexHand 2. CALVIN 3. Omnipush

DexHand

We created a synthetic RGB-D dataset of a Shadow Hand robot manipulating a cube towards arbitrary goal configurations. This dataset consists of about 10K videos, each video including 25 RGB-D frames.

To download the DexHand dataset:

cd $T3VIP_ROOT/dataset
sh download_data.sh dexhand

CALVIN

We train and validate our models on CALVIN Env C and test them on Env D:

To download the CALVIN dataset:

cd $T3VIP_ROOT/dataset
sh download_data.sh calvin

Omnipush

We use the first split of Omnipush Dataset, consisting of 70 objects without extra weight.

To download the Omnipush dataset:

cd $T3VIP_ROOT/dataset
sh download_data.sh omnipush