mujoco-py | physics engine for detailed , efficient rigid body

by openai Python Version: 2.1.2.14 License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | mujoco-py Summary

mujoco-py is a Python library typically used in Simulation applications. mujoco-py has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However mujoco-py has a Non-SPDX License. You can install using 'pip install mujoco-py' or download it from GitHub, PyPI.

Status: Maintenance (expect bug fixes and minor updates).

Support

Quality

Security

License

Reuse

Support

mujoco-py has a medium active ecosystem.

It has 1637 star(s) with 532 fork(s). There are 129 watchers for this library.

It had no major release in the last 12 months.

There are 276 open issues and 206 have been closed. On average issues are closed in 58 days. There are 16 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mujoco-py is 2.1.2.14

Quality

mujoco-py has 0 bugs and 0 code smells.

Security

mujoco-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mujoco-py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mujoco-py has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

mujoco-py releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed mujoco-py and discovered the below as its top functions. This is intended to give you an instant insight into mujoco-py implemented functionality, and help decide if they suit your requirements.

Extract functions from c_compiler .
Build a callback function .
Initialize the model .
Get a dictionary of structs .
Load cython extension .
Extract constants from source code .
Create full overlay
Returns a list of constant source code lines .
Try to link the library with the same directory .
Render the image .

Get all kandi verified functions for this library.

mujoco-py Key Features

No Key Features are available at this moment for mujoco-py.

mujoco-py Examples and Code Snippets

mujoco-maze,Customize Environments

Python

Lines of Code : 42

License : Permissive (Apache-2.0)

Copy

import gym
import numpy as np
from mujoco_maze.maze_env_utils import MazeCell
from mujoco_maze.maze_task import MazeGoal, MazeTask
from mujoco_maze.point import PointEnv


class GoalRewardEMaze(MazeTask):
    REWARD_THRESHOLD: float = 0.9
    PENALTY

DoorGym,0. Set up the environment,Conda (Anaconda, Miniconda)

Python

Lines of Code : 26

License : Non-SPDX (NOASSERTION)

Copy

sudo apt install libosmesa6-dev libgl1-mesa-glx libglfw3 libglew-dev libopenmpi-dev patchelf

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/[usr-name]/.mujoco/mujoco200/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia-[driver-ver]
export P

Installation

Jupyter Notebook

Lines of Code : 9

License : No License

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apt-get install -y libgl1-mesa-dev libgl1-mesa-glx libglew-dev libosmesa6-dev libglfw3 wget bzip2 git patchelf ffmpeg mesa-utils
conda env create -f environment.yml
pip install -r requirements.txt

git clone https://github.com/openai/mujoco-py
cd muj

Community Discussions

Trending Discussions on mujoco-py

Installing a Python package (e.g. mujoco_py with GPU rendering enabled) in a Singularity container that requires creating files during import

How to properly compile ParaView for headless offscreen rendering?

QUESTION

Installing a Python package (e.g. mujoco_py with GPU rendering enabled) in a Singularity container that requires creating files during import

Asked 2021-Apr-05 at 14:50

Note that parts of the following description are specific to the Python package mujoco_py but the issue itself is general.

I followed the steps described in here and here to built a container with mujoco-py installed in it that uses GPUs for rendering. However, when do import mujoco_py I get the following errors when mujoco-py is trying to create some files/directories that are needed for rendering with GPUs. However, it is not possible to create any files inside the container after it is built as the file system becomes read-only, except if those files are going to be stored in /tmp. Also, in my case, it is not an option to build the container as writable. I also tried installing mujoco-py via python3 -m pip install . -e instead of python3 setup.py install but got some other, similar errors when I did import mujoco_py.

Is there a way to either change the path where those files are going to be created or keep those files in memory?

...

ANSWER

Answered 2021-Apr-05 at 14:50

It is now possible to write [temporary] files in containers via --overlay in a Singularity container:

https://sylabs.io/guides/3.7/user-guide/persistent_overlays.html

Source https://stackoverflow.com/questions/66896899

QUESTION

How to properly compile ParaView for headless offscreen rendering?

Asked 2021-Mar-10 at 17:14

I'm running OpenFOAM on a remote server and basically manage to visualize the results via paraview's pvserver as described here. However upon connection the client yields

Server DISPLAY not accessible!

Display is not accessible on the server side. Remote rendering will be disabled.

which is basically correct, since the server doesn't run an X server. Performance is of course suboptimal since without remote rendering the entire geometry is transferred (I guess it's almost as bad as directly ssh-copying the files to run purely locally). The server does have a simple onboard GPU (c2:00.0 VGA compatible controller: ASPEED Technology, Inc. ASPEED Graphics Family (rev 41) as per lspci), using which might be called plan B since at some point I might switch to a server without GPU or an entirely different one. So instead, I had a look at https://kitware.github.io/paraview-docs/latest/cxx/Offscreen.html, and using Arch Linux I obtained its paraview PKGBUILD via asp checkout paraview and appended the following switches to its build() -> cmake instruction:

...

ANSWER

Answered 2021-Mar-10 at 17:14

I'm using ArchLinux and the folowing is working perfectly:

Source https://stackoverflow.com/questions/66489104

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mujoco-py

If you want to specify a nonstandard location for the key and package, use the env variables MUJOCO_PY_MJKEY_PATH and MUJOCO_PY_MUJOCO_PATH.
Obtain a 30-day free trial on the MuJoCo website or free license if you are a student. The license key will arrive in an email with your username and password.
Download the MuJoCo version 2.0 binaries for Linux or OSX.
Unzip the downloaded mujoco200 directory into ~/.mujoco/mujoco200, and place your license key (the mjkey.txt file from your email) at ~/.mujoco/mjkey.txt.
To include mujoco-py in your own package, add it to your requirements like so:.

Support

Because mujoco_py has compiled native code that needs to be linked to a supplied MuJoCo binary, it's installation on linux can be more challenging than pure Python source packages.

Find more information at: