%global _empty_manifest_terminate_build 0 Name: python-qibullet Version: 1.4.6 Release: 1 Summary: Bullet-based simulation for SoftBank Robotics' robots License: Apache Software License URL: https://github.com/softbankrobotics-research/qibullet Source0: https://mirrors.aliyun.com/pypi/web/packages/21/db/d0682eaf0833952681cbfec89f2b86e2bab5d3efcafec15fb354e7048844/qibullet-1.4.6.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-pybullet %description # qiBullet [![ci](https://github.com/softbankrobotics-research/qibullet/workflows/ci/badge.svg?branch=master)](https://github.com/softbankrobotics-research/qibullet/actions?query=workflow%3Aci) [![codecov](https://codecov.io/gh/softbankrobotics-research/qibullet/branch/master/graph/badge.svg)](https://codecov.io/gh/softbankrobotics-research/qibullet) [![pypi](https://img.shields.io/pypi/v/qibullet.svg)](https://pypi.org/project/qibullet/) [![Downloads](https://pepy.tech/badge/qibullet)](https://pepy.tech/project/qibullet) [![Github discussions](https://img.shields.io/github/discussions/softbankrobotics-research/qibullet?color=blue&logo=github)](https://github.com/softbankrobotics-research/qibullet/discussions) [![docs](https://img.shields.io/badge/docs-online-success?logo=githubpages)](https://softbankrobotics-research.github.io/qibullet/) __Bullet-based__ python simulation for __SoftBank Robotics'__ robots. ## Installation The following modules are required: * __numpy__ * __pybullet__ The qiBullet module can be installed via pip, for python 2.7 and python 3: ```bash pip install --user qibullet ``` Additional resources (robot meshes and URDFs) are required in order to be able to spawn a Pepper, NAO or Romeo robot in the simulation. These extra resources will be installed in your home folder: * `/home/username/.qibullet` on Linux and macOS * `C:\Users\username\.qibullet` on Windows The installation of the additional resources will automatically be triggered if you try to spawn a Pepper, NAO or Romeo for the first time. If qiBullet finds the additional resources in your local folder, the installation won't be triggered. The robot meshes are under a specific [license](https://github.com/softbankrobotics-research/qibullet/tree/master/qibullet/robot_data/LICENSE), you will need to agree to that license in order to install them. More details on the installation process can be found on the [wiki](https://github.com/softbankrobotics-research/qibullet/wiki). ## Usage A robot can be spawned via the SimulationManager class: ```python import sys from qibullet import SimulationManager if __name__ == "__main__": simulation_manager = SimulationManager() # Launch a simulation instances, with using a graphical interface. # Please note that only one graphical interface can be launched at a time client_id = simulation_manager.launchSimulation(gui=True) # Selection of the robot type to spawn (True : Pepper, False : NAO) pepper_robot = True if pepper_robot: # Spawning a virtual Pepper robot, at the origin of the WORLD frame, and a # ground plane pepper = simulation_manager.spawnPepper( client_id, translation=[0, 0, 0], quaternion=[0, 0, 0, 1], spawn_ground_plane=True) else: # Or a NAO robot, at a default position nao = simulation_manager.spawnNao( client_id, spawn_ground_plane=True) # This snippet is a blocking call, just to keep the simulation opened if sys.version_info[0] >= 3: input("Press a key to end the simulation") else: raw_input("Press a key to end the simulation") # Stop the simulation simulation_manager.stopSimulation(client_id) ``` Or using loadRobot from the PepperVirtual class if you already have a simulated environment: ```python pepper = PepperVirtual() pepper.loadRobot( translation=[0, 0, 0], quaternion=[0, 0, 0, 1], physicsClientId=client_id) ``` More snippets can be found in the [examples folder](https://github.com/softbankrobotics-research/qibullet/tree/master/examples), or on the [wiki](https://github.com/softbankrobotics-research/qibullet/wiki) > :warning: The camera subscription system of qiBullet 1.4.0 (and lesser) is __deprecated__, use the [new system](https://github.com/softbankrobotics-research/qibullet/wiki/Tutorials:-Virtual-Robot#cameras) ## Documentation The qiBullet __API documentation__ can be found [here](https://softbankrobotics-research.github.io/qibullet/). In order to build the documentation, the __doxygen__ package has to be installed beforehand and the docs folder has to exist. The submodules should also be checked out: ```bash git submodule init git submodule update ``` The documentation can then be generated via the following command: ```bash cd docs doxygen Doxyfile ``` The repository also contains a [wiki](https://github.com/softbankrobotics-research/qibullet/wiki), providing some tutorials. ## Citations Please cite qiBullet if you use this repository in your publications: ``` @article{busy2019qibullet, title={qiBullet, a Bullet-based simulator for the Pepper and NAO robots}, author={Busy, Maxime and Caniot, Maxime}, journal={arXiv preprint arXiv:1909.00779}, year={2019} } ``` ## Troubleshooting ### OpenGL driver If you encounter the message: > Workaround for some crash in the Intel OpenGL driver on Linux/Ubuntu Your computer is using the Intel OpenGL driver. Go to __Software & Updates__, __Additional Drivers__, and select a driver corresponding to your GPU. ## License Licensed under the [Apache-2.0 License](LICENSE) %package -n python3-qibullet Summary: Bullet-based simulation for SoftBank Robotics' robots Provides: python-qibullet BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-qibullet # qiBullet [![ci](https://github.com/softbankrobotics-research/qibullet/workflows/ci/badge.svg?branch=master)](https://github.com/softbankrobotics-research/qibullet/actions?query=workflow%3Aci) [![codecov](https://codecov.io/gh/softbankrobotics-research/qibullet/branch/master/graph/badge.svg)](https://codecov.io/gh/softbankrobotics-research/qibullet) [![pypi](https://img.shields.io/pypi/v/qibullet.svg)](https://pypi.org/project/qibullet/) [![Downloads](https://pepy.tech/badge/qibullet)](https://pepy.tech/project/qibullet) [![Github discussions](https://img.shields.io/github/discussions/softbankrobotics-research/qibullet?color=blue&logo=github)](https://github.com/softbankrobotics-research/qibullet/discussions) [![docs](https://img.shields.io/badge/docs-online-success?logo=githubpages)](https://softbankrobotics-research.github.io/qibullet/) __Bullet-based__ python simulation for __SoftBank Robotics'__ robots. ## Installation The following modules are required: * __numpy__ * __pybullet__ The qiBullet module can be installed via pip, for python 2.7 and python 3: ```bash pip install --user qibullet ``` Additional resources (robot meshes and URDFs) are required in order to be able to spawn a Pepper, NAO or Romeo robot in the simulation. These extra resources will be installed in your home folder: * `/home/username/.qibullet` on Linux and macOS * `C:\Users\username\.qibullet` on Windows The installation of the additional resources will automatically be triggered if you try to spawn a Pepper, NAO or Romeo for the first time. If qiBullet finds the additional resources in your local folder, the installation won't be triggered. The robot meshes are under a specific [license](https://github.com/softbankrobotics-research/qibullet/tree/master/qibullet/robot_data/LICENSE), you will need to agree to that license in order to install them. More details on the installation process can be found on the [wiki](https://github.com/softbankrobotics-research/qibullet/wiki). ## Usage A robot can be spawned via the SimulationManager class: ```python import sys from qibullet import SimulationManager if __name__ == "__main__": simulation_manager = SimulationManager() # Launch a simulation instances, with using a graphical interface. # Please note that only one graphical interface can be launched at a time client_id = simulation_manager.launchSimulation(gui=True) # Selection of the robot type to spawn (True : Pepper, False : NAO) pepper_robot = True if pepper_robot: # Spawning a virtual Pepper robot, at the origin of the WORLD frame, and a # ground plane pepper = simulation_manager.spawnPepper( client_id, translation=[0, 0, 0], quaternion=[0, 0, 0, 1], spawn_ground_plane=True) else: # Or a NAO robot, at a default position nao = simulation_manager.spawnNao( client_id, spawn_ground_plane=True) # This snippet is a blocking call, just to keep the simulation opened if sys.version_info[0] >= 3: input("Press a key to end the simulation") else: raw_input("Press a key to end the simulation") # Stop the simulation simulation_manager.stopSimulation(client_id) ``` Or using loadRobot from the PepperVirtual class if you already have a simulated environment: ```python pepper = PepperVirtual() pepper.loadRobot( translation=[0, 0, 0], quaternion=[0, 0, 0, 1], physicsClientId=client_id) ``` More snippets can be found in the [examples folder](https://github.com/softbankrobotics-research/qibullet/tree/master/examples), or on the [wiki](https://github.com/softbankrobotics-research/qibullet/wiki) > :warning: The camera subscription system of qiBullet 1.4.0 (and lesser) is __deprecated__, use the [new system](https://github.com/softbankrobotics-research/qibullet/wiki/Tutorials:-Virtual-Robot#cameras) ## Documentation The qiBullet __API documentation__ can be found [here](https://softbankrobotics-research.github.io/qibullet/). In order to build the documentation, the __doxygen__ package has to be installed beforehand and the docs folder has to exist. The submodules should also be checked out: ```bash git submodule init git submodule update ``` The documentation can then be generated via the following command: ```bash cd docs doxygen Doxyfile ``` The repository also contains a [wiki](https://github.com/softbankrobotics-research/qibullet/wiki), providing some tutorials. ## Citations Please cite qiBullet if you use this repository in your publications: ``` @article{busy2019qibullet, title={qiBullet, a Bullet-based simulator for the Pepper and NAO robots}, author={Busy, Maxime and Caniot, Maxime}, journal={arXiv preprint arXiv:1909.00779}, year={2019} } ``` ## Troubleshooting ### OpenGL driver If you encounter the message: > Workaround for some crash in the Intel OpenGL driver on Linux/Ubuntu Your computer is using the Intel OpenGL driver. Go to __Software & Updates__, __Additional Drivers__, and select a driver corresponding to your GPU. ## License Licensed under the [Apache-2.0 License](LICENSE) %package help Summary: Development documents and examples for qibullet Provides: python3-qibullet-doc %description help # qiBullet [![ci](https://github.com/softbankrobotics-research/qibullet/workflows/ci/badge.svg?branch=master)](https://github.com/softbankrobotics-research/qibullet/actions?query=workflow%3Aci) [![codecov](https://codecov.io/gh/softbankrobotics-research/qibullet/branch/master/graph/badge.svg)](https://codecov.io/gh/softbankrobotics-research/qibullet) [![pypi](https://img.shields.io/pypi/v/qibullet.svg)](https://pypi.org/project/qibullet/) [![Downloads](https://pepy.tech/badge/qibullet)](https://pepy.tech/project/qibullet) [![Github discussions](https://img.shields.io/github/discussions/softbankrobotics-research/qibullet?color=blue&logo=github)](https://github.com/softbankrobotics-research/qibullet/discussions) [![docs](https://img.shields.io/badge/docs-online-success?logo=githubpages)](https://softbankrobotics-research.github.io/qibullet/) __Bullet-based__ python simulation for __SoftBank Robotics'__ robots. ## Installation The following modules are required: * __numpy__ * __pybullet__ The qiBullet module can be installed via pip, for python 2.7 and python 3: ```bash pip install --user qibullet ``` Additional resources (robot meshes and URDFs) are required in order to be able to spawn a Pepper, NAO or Romeo robot in the simulation. These extra resources will be installed in your home folder: * `/home/username/.qibullet` on Linux and macOS * `C:\Users\username\.qibullet` on Windows The installation of the additional resources will automatically be triggered if you try to spawn a Pepper, NAO or Romeo for the first time. If qiBullet finds the additional resources in your local folder, the installation won't be triggered. The robot meshes are under a specific [license](https://github.com/softbankrobotics-research/qibullet/tree/master/qibullet/robot_data/LICENSE), you will need to agree to that license in order to install them. More details on the installation process can be found on the [wiki](https://github.com/softbankrobotics-research/qibullet/wiki). ## Usage A robot can be spawned via the SimulationManager class: ```python import sys from qibullet import SimulationManager if __name__ == "__main__": simulation_manager = SimulationManager() # Launch a simulation instances, with using a graphical interface. # Please note that only one graphical interface can be launched at a time client_id = simulation_manager.launchSimulation(gui=True) # Selection of the robot type to spawn (True : Pepper, False : NAO) pepper_robot = True if pepper_robot: # Spawning a virtual Pepper robot, at the origin of the WORLD frame, and a # ground plane pepper = simulation_manager.spawnPepper( client_id, translation=[0, 0, 0], quaternion=[0, 0, 0, 1], spawn_ground_plane=True) else: # Or a NAO robot, at a default position nao = simulation_manager.spawnNao( client_id, spawn_ground_plane=True) # This snippet is a blocking call, just to keep the simulation opened if sys.version_info[0] >= 3: input("Press a key to end the simulation") else: raw_input("Press a key to end the simulation") # Stop the simulation simulation_manager.stopSimulation(client_id) ``` Or using loadRobot from the PepperVirtual class if you already have a simulated environment: ```python pepper = PepperVirtual() pepper.loadRobot( translation=[0, 0, 0], quaternion=[0, 0, 0, 1], physicsClientId=client_id) ``` More snippets can be found in the [examples folder](https://github.com/softbankrobotics-research/qibullet/tree/master/examples), or on the [wiki](https://github.com/softbankrobotics-research/qibullet/wiki) > :warning: The camera subscription system of qiBullet 1.4.0 (and lesser) is __deprecated__, use the [new system](https://github.com/softbankrobotics-research/qibullet/wiki/Tutorials:-Virtual-Robot#cameras) ## Documentation The qiBullet __API documentation__ can be found [here](https://softbankrobotics-research.github.io/qibullet/). In order to build the documentation, the __doxygen__ package has to be installed beforehand and the docs folder has to exist. The submodules should also be checked out: ```bash git submodule init git submodule update ``` The documentation can then be generated via the following command: ```bash cd docs doxygen Doxyfile ``` The repository also contains a [wiki](https://github.com/softbankrobotics-research/qibullet/wiki), providing some tutorials. ## Citations Please cite qiBullet if you use this repository in your publications: ``` @article{busy2019qibullet, title={qiBullet, a Bullet-based simulator for the Pepper and NAO robots}, author={Busy, Maxime and Caniot, Maxime}, journal={arXiv preprint arXiv:1909.00779}, year={2019} } ``` ## Troubleshooting ### OpenGL driver If you encounter the message: > Workaround for some crash in the Intel OpenGL driver on Linux/Ubuntu Your computer is using the Intel OpenGL driver. Go to __Software & Updates__, __Additional Drivers__, and select a driver corresponding to your GPU. ## License Licensed under the [Apache-2.0 License](LICENSE) %prep %autosetup -n qibullet-1.4.6 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-qibullet -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 1.4.6-1 - Package Spec generated