perlin-numpy | A fast and simple perlin noise generator | Cryptography library

by pvigier Python Version: Current License: MIT

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kandi X-RAY | perlin-numpy Summary

perlin-numpy is a Python library typically used in Security, Cryptography, Numpy applications. perlin-numpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A fast and simple perlin noise generator using numpy.

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perlin-numpy has a low active ecosystem.

It has 182 star(s) with 35 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 5 have been closed. On average issues are closed in 220 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of perlin-numpy is current.

Quality

perlin-numpy has 0 bugs and 1 code smells.

Security

perlin-numpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

perlin-numpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

perlin-numpy 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

perlin-numpy 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.

perlin-numpy saves you 47 person hours of effort in developing the same functionality from scratch.

It has 125 lines of code, 5 functions and 4 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Generate a fractional noise
Generate perlin noise
Interpolant to interpolant

Get all kandi verified functions for this library.

perlin-numpy Key Features

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perlin-numpy Examples and Code Snippets

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Community Discussions

Trending Discussions on perlin-numpy

Trouble finding chunk loading noise algorithm

QUESTION

Trouble finding chunk loading noise algorithm

Asked 2020-Aug-29 at 17:42

I am working on a basic 2d terrain generator and currently It generates a 1024x1024 'swatch' of terrain using perlin-numpy. I am interested in having the option to generate another 'chunk' (like Minecraft) above my current terrain that is different, but fits smoothly above my current terrain.

TL;DR: the noise function I'm using takes generate_fractal_noise_2d((1024, 1024), octaves=6)
I want to be able to do generate_fractal_noise_2d((1024, 1024), location=(, ), octaves=6)

...

ANSWER

Answered 2020-Aug-29 at 17:42

Generally this is very easy with noise, because noise is a point evaluation function. This library would work if it provided an "offset" parameter, but it doesn't seem to. Also, is there a reason you are using a "Perlin" noise library and not an (Open)Simplex? Perlin is an older function for noise, which produces visually significant grid bias. (Open)Simplex can be noticeably better about that. You can see in this image that the Perlin on top has a lot of 45 and 90 degree parts. Terrain features won't be distributed along a more interesting variety of directions.

Here's what I would do:

Use Python OpenSimplex instead.
Implement octave summation manually, since the lib doesn't have it.

Source https://stackoverflow.com/questions/63649721

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