If you installed Klamp't Python API from pip, you may prefer to install from the standalone Jupyter extension project because it is much lighter weight than downloading the full Klamp't source.
To make any use of this extension, you will need to install:
- Jupyter notebook
- Klamp't 0.8.x Python API: try
pip install klampt, or follow the installation instructions here.
Linux / OSX
To install the extension, you can simply enter
sudo make install
in this directory.
For more control, you can use the following Makefile targets:
install-user: Installs this in the Jupyter user prefix
install-wurlitzer: The wurlitzer library for capturing C++ output in Python. This is not strictly needed, but is nice to have
To install for all users, type the following into a command prompt:
jupyter nbextension install klampt/ jupyter nbextension enable klampt/main jupyter nbextension enable klampt/three.min jupyter nbextension enable klampt/KlamptFrontend
To install for just a single user, append
--user to the first line, as follows:
jupyter nbextension install klampt/ --user
The best way to learn how to use this extension is to study the example notebooks in the Jupyter subdirectory of the Klamp't examples package. Run:
And then launch Jupyter:
The Jupyter frontend widget can be created by a
KlamptWidget, which is defined in the
klampt.vis.ipython module. The module also contains useful helper widgets for editing robot configurations and points.
0.2.0: matching to Klampt 0.8.0 release (12/31/2018)
- Python interface is now in Klampt, not this module.
- Widget state can be saved a bit more reliably.
- API is closer to the klampt.vis module.
0.1.0: first release
- Saving standalone animations in HTML.
- Camera resetting in the GUI.
- More control over background color, lighting, textures.
- Live editing in the visualization.
Author: Kris Hauser
University of Illinois at Urbana-Champaign