green-stdev-opt.yaml

# with optimization assistance from Patricio Gonzalez Vivo
sources:
    normals:
        type: Raster
        url: https://tile.nextzen.org/tilezen/terrain/v1/256/normal/{z}/{x}/{y}.png
        url_params:
            api_key: your-nextzen-api-key
        max_zoom: 14

lights:
    directional1:
        type: directional
        direction: [0.5,-0.7,-0.5]
        diffuse: [1, 1.000, 0.75]
        ambient: [0.2, 0.3, 0.3]

styles:
    hillshade:
        base: raster
        raster: normal
        shaders:
            blocks:
                normal: |
                    // box blur masked with standard deviation
                    // adapted from https://www.shadertoy.com/view/XdfGDH

                    // set some constants, to reduce math operations later
                    const int mSize = 5; // kernel width
                    const int kSize = (mSize-1)/2; // 2
                    const int mSize2 = mSize*mSize; // 25
                    // store the reciprocal for later (multiplications are faster than divisions in glsl)
                    const float mSize2reciprocal = 1./float(mSize2); // .25

                    // loop over the kernel
                    vec3 final = vec3(0.0);
                    for (int i=-kSize; i <= kSize; ++i) {
                        for (int j=-kSize; j <= kSize; ++j) {
                            final += sampleRasterAtPixel(0, vec2(currentRasterPixel(0) + vec2(float(i),float(j)))).rgb;
                        }
                    }
                    // find the mean of the sampled values (a simple box blur)
                    // by dividing by the number of samples
                    // aka multiplying by the reciprocal of the kernel width squared
                    vec3 mean = final * mSize2reciprocal;

                    // loop over the kernel again, summing the squares of (samples - mean)
                    vec3 squares = vec3(0.0);
                    for (int i=-kSize; i <= kSize; ++i) {
                        for (int j=-kSize; j <= kSize; ++j) {
                            vec3 sample = sampleRasterAtPixel(0, vec2(currentRasterPixel(0) + vec2(float(i),float(j)))).rgb;
                            vec3 difference = sample - mean;
                            squares += difference*difference;
                        }
                    }
                    // find the mean of the squares by dividing by the number of samples
                    // aka multiplying by the reciprocal of the kernel width squared
                    squares *= mSize2reciprocal;

                    // take the square root of the mean
                    vec3 stdev = vec3(0.);
                    stdev = vec3(sqrt(squares));

                    // finally, find the magnitude^2 of the standard deviation with dot()
                    stdev = vec3(dot(stdev,stdev));

                    // scale to taste
                    stdev *= 80.;
                    // clamp range to 0-1 (only matters with extreme stdev scales)
                    stdev = clamp(stdev, 0., 1.);

                    // mix between the blurred and unblurred normals, using stdev as a mask
                    normal = mix(mean, normal, stdev); // comment this out to disable the effect
                    // normalize it
                    normal = normalize(normal);

                    // uncomment this to see the mask
                    // normal = stdev;

layers:
    terrain:
        data: { source: normals, layer: _default }
        draw:
            hillshade:
                order: 0