habitat-sim

by lucivpav C++ Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | habitat-sim Summary

habitat-sim is a C++ library. habitat-sim has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

habitat-sim

Support

Quality

Security

License

Reuse

Support

habitat-sim has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

habitat-sim has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of habitat-sim is current.

Quality

habitat-sim has no bugs reported.

Security

habitat-sim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

habitat-sim is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

habitat-sim releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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habitat-sim Key Features

No Key Features are available at this moment for habitat-sim.

habitat-sim Examples and Code Snippets

No Code Snippets are available at this moment for habitat-sim.

Community Discussions

No Community Discussions are available at this moment for habitat-sim.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install habitat-sim

If your machine has a custom installation location for the nvidia OpenGL and EGL drivers, you may need to manually provide the EGL_LIBRARY path to cmake as follows. Add -DEGL_LIBRARY=/usr/lib/x86_64-linux-gnu/nvidia-opengl/libEGL.so to the build.sh command line invoking cmake. When running any executable adjust the environment as follows: LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/nvidia-opengl:${LD_LIBRARY_PATH} examples/example.py.
If your machine has a custom installation location for the nvidia OpenGL and EGL drivers, you may need to manually provide the EGL_LIBRARY path to cmake as follows. Add -DEGL_LIBRARY=/usr/lib/x86_64-linux-gnu/nvidia-opengl/libEGL.so to the build.sh command line invoking cmake. When running any executable adjust the environment as follows: LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/nvidia-opengl:${LD_LIBRARY_PATH} examples/example.py.
By default, the build process uses all cores available on the system to parallelize. On some virtual machines, this might result in running out of memory. You can serialize the build process via: python setup.py build_ext --parallel 1 install
Build is tested on Tested with Ubuntu 18.04 with gcc 7.4.0 and MacOS 10.13.6 with Xcode 10 and clang-1000.10.25.5. If you experience compilation issues, please open an issue with the details of your OS and compiler versions. We also have a dev slack channel, please follow this link to get added to the channel.

Support

If you use the noise model from PyRobot, please cite the their technical report. Specifically, the noise model used for the noisy control functions named pyrobot_* and defined in habitat_sim/agent/controls/pyrobot_noisy_controls.py. If you use the Redwood Depth Noise Model, please cite their paper. Specifically, the noise model defined in habitat_sim/sensors/noise_models/redwood_depth_noise_model.py and src/esp/sensor/RedwoodNoiseModel.*.

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