nsdf | Representing SDFs of arbitrary meshes

by janivanecky Python Version: Current License: No License

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kandi X-RAY | nsdf Summary

nsdf is a Python library. nsdf has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Representing SDFs of arbitrary meshes has been a bit tricky so far. Expressing the mesh SDF as a combination of simpler analytical SDFs is usually not possible, but we could either use pre-computed SDF 3D textures or use acceleration structures with triangle mesh directly. The downside with those is that they're not as plug-and-play as analytical SDFs, because you need to push additional data to the shader (which is not really possible in something like Shadertoy). Wouldn't it be cool to have a way of representing a mesh SDF with just some code we can directly paste into our raymarcher, as we do with simple analytical SDFs?.

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Support

nsdf has a low active ecosystem.

It has 12 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

nsdf has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nsdf is current.

Quality

nsdf has no bugs reported.

Security

nsdf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nsdf does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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nsdf releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

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nsdf Key Features

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nsdf Examples and Code Snippets

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Vulnerabilities

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Install nsdf

Following pip packages are required for training:. (you can just run pip install -r requirements.txt).

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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