This repository contains the home website and API for the Video Dataset of Human Demonstrations of Folding Clothing For Robotic Folding. The API gives easy access to the video dataset by providing an interface to query RGB images, depth frames, pose coordinates, subtask labels and multiple labelled annotations.
Detailed information can be found in the wiki.
The API of folding_demonstrations works on Python 3.6 and higher. This is because f-strings are used. The sole dependency is pillow which can be installed using pip install pillow.
To install the package:
cd /path/to/folding_demonstrations
pip install .
Or optionally pip install from the git repo:
pip install git+git://github.com/adverley/folding-demonstrations.git
Download the data here and extract the files.
To run the examples, cv2 and numpy will also need to be installed.
pip install opencv-python
pip install numpy
Run an example with following command:
python examples/play_sample.py '/home/to/the/data' --sample_id=43 --perspective='left'
The dataset can be loaded with following commands:
from folding_demonstrations.dataset import FoldingDemonstrationDataSet
home_dir = '/data/media/folding_demonstrations'
dataset = FoldingDemonstrationDataSet(home_dir)
and data can be easily queried with for example
data[sample_id][frame_nr]['left']['rgb'].
All the data that can be sampled can be seen in the example examples/query_all_data.py
The project and code documentation can be found on this page.
You can run the wiki yourself by running mkdocs serve in the root directory of this project.
The wiki is powered by MkDocs.
