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"use strict";
Object.defineProperty(exports, Symbol.toStringTag, { value: "Module" });
const THREE = require("three");
const ConvolutionShader = {
defines: {
KERNEL_SIZE_FLOAT: "25.0",
KERNEL_SIZE_INT: "25"
},
uniforms: {
tDiffuse: { value: null },
uImageIncrement: { value: /* @__PURE__ */ new THREE.Vector2(1953125e-9, 0) },
cKernel: { value: [] }
},
vertexShader: (
/* glsl */
`
uniform vec2 uImageIncrement;
varying vec2 vUv;
void main() {
vUv = uv - ( ( KERNEL_SIZE_FLOAT - 1.0 ) / 2.0 ) * uImageIncrement;
gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );
}
`
),
fragmentShader: (
/* glsl */
`
uniform float cKernel[ KERNEL_SIZE_INT ];
uniform sampler2D tDiffuse;
uniform vec2 uImageIncrement;
varying vec2 vUv;
void main() {
vec2 imageCoord = vUv;
vec4 sum = vec4( 0.0, 0.0, 0.0, 0.0 );
for( int i = 0; i < KERNEL_SIZE_INT; i ++ ) {
sum += texture2D( tDiffuse, imageCoord ) * cKernel[ i ];
imageCoord += uImageIncrement;
}
gl_FragColor = sum;
}
`
),
buildKernel: function(sigma) {
function gauss(x, sigma2) {
return Math.exp(-(x * x) / (2 * sigma2 * sigma2));
}
const kMaxKernelSize = 25;
const kernelSize = Math.min(2 * Math.ceil(sigma * 3) + 1, kMaxKernelSize);
const halfWidth = (kernelSize - 1) * 0.5;
const values = new Array(kernelSize);
let sum = 0;
for (let i = 0; i < kernelSize; ++i) {
values[i] = gauss(i - halfWidth, sigma);
sum += values[i];
}
for (let i = 0; i < kernelSize; ++i)
values[i] /= sum;
return values;
}
};
exports.ConvolutionShader = ConvolutionShader;
//# sourceMappingURL=ConvolutionShader.cjs.map

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