heman

This is a tiny MIT-licensed C99 library of image utilities for dealing with height maps, normal maps, distance fields, and the like. It has a very low-level API, where an "image" is simply a flat array of floats. It's pretty fast too, since it's parallelized using OpenMP.

Heman can do stuff like this:

Create a random height field using simplex noise and FBM.
Generate a normal map from a height map.
Compute ambient occlusion from a height map.
Generate a signed distance field (SDF) using a fast algorithm.
Export a 3D mesh in PLY format.
Apply a color gradient to a heightmap.
Generate a color gradient, given a list of control points.
Compute diffuse lighting with an infinite light source.

Example

The above images were generated from code that looks like this:

// Generate an island shape using simplex noise and a distance field.
heman_image* elevation = heman_generate_island_heightmap(1024, 1024, rand());

// Compute ambient occlusion from the height map.
heman_image* occ = heman_lighting_compute_occlusion(hmap);

// Visualize the normal vectors.
heman_image* normals = heman_lighting_compute_normals(elevation);

// Apply a color gradient.
heman_image* gradient = heman_color_create_gradient(...);
heman_image* albedo = heman_color_apply_gradient(elevation, -0.5, 0.5, grad);

// Apply diffuse lighting.
heman_image* final = heman_lighting_apply(elevation, albedo, ...);

For the unabridged version, see test_lighting in test/main.c.

Documentation

The latest Sphinx-generated docs are hosted here. You can also take a look at heman's one and only header file.

Building

Heman has no dependencies, so it should be easy just to incorporate the code directly into your project.

For building a shared library in OS X, you can do this:

brew install scons
scons lib

Note that this will not use OpenMP or build any tests.

Linux is required for OpenMP and tests. If you are not using a Linux machine but you want OpenMP support, take a look at the provided Dockerfile.

There's a script in the repo, env.sh, that makes using Docker easy. It calls boot2docker and builds a container. Here's how to use it:

. env.sh
# Lots of stuff spews out as it builds the container...
heman-bash
# You're now inside the VM -- press enter twice for the prompt.
scons test
# You should now see PNG files in your build folder!

Roadmap

Here are some to-be-done items:

Provide gamma decode and encode functions.
Provide a way to compute noise normals analytically.
heman_image_sample doesn't do any interpolation.
Provide functionality from Scalable Height-Field Self-Shadowing
If we need more string handling, we can integrate SDS.
Create a simple C++ wrapper in a top-level folder called bindings.
Create a Python wrapper in bindings that uses boost.python and provides docstrings.
Integrate aaOcean, or some other implementation of Tessendorf waves.
If we need to read JSON, we might use johanson.

druidsbane/heman

heman

Example

Documentation

Building

Roadmap