From 9b1314bfa0764911b406675e373c6f98d0c83931 Mon Sep 17 00:00:00 2001 From: Florian Rival Date: Tue, 6 Oct 2026 08:55:22 +0200 Subject: [PATCH] Make the depth of field blur effect 2x faster (#9186) --- Extensions/3D/DepthOfFieldEffect.ts | 155 +-------- GDJS/Runtime/pixi-renderers/ThreeAddons.js | 2 +- GDJS/Runtime/types/global-three-addons.d.ts | 2 + .../ThreeAddons/src/DepthOfFieldPass.js | 304 ++++++++++++++++++ SharedLibs/ThreeAddons/src/index.ts | 1 + 5 files changed, 313 insertions(+), 151 deletions(-) create mode 100644 SharedLibs/ThreeAddons/src/DepthOfFieldPass.js diff --git a/Extensions/3D/DepthOfFieldEffect.ts b/Extensions/3D/DepthOfFieldEffect.ts index b75676dfdb..7be59ebf85 100644 --- a/Extensions/3D/DepthOfFieldEffect.ts +++ b/Extensions/3D/DepthOfFieldEffect.ts @@ -6,142 +6,6 @@ namespace gdjs { mb: number; } - /** - * A bokeh blur adapted from Three.js `BokehShader`, with: - * - a range around the focus distance staying sharp, - * - a blur growing linearly over a transition distance, - * - samples weighted to avoid sharp objects bleeding on the blurred - * background behind them. - */ - const depthOfFieldShader = { - defines: { - PERSPECTIVE_CAMERA: 1, - }, - uniforms: { - tDiffuse: { value: null }, - tDepth: { value: null }, - focusDistance: { value: 10.0 }, - focusRange: { value: 1.0 }, - transitionDistance: { value: 10.0 }, - maxBlur: { value: 0.01 }, - aspect: { value: 1.0 }, - nearClip: { value: 1.0 }, - farClip: { value: 1000.0 }, - }, - vertexShader: /* glsl */ ` - varying vec2 vUv; - - void main() { - vUv = uv; - gl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0); - }`, - fragmentShader: /* glsl */ ` - #include - #include - - varying vec2 vUv; - - uniform sampler2D tDiffuse; - uniform sampler2D tDepth; - uniform float focusDistance; - uniform float focusRange; - uniform float transitionDistance; - uniform float maxBlur; - uniform float aspect; - uniform float nearClip; - uniform float farClip; - - float getDistance(const in vec2 uv) { - float depth = texture2D(tDepth, uv).x; - #if PERSPECTIVE_CAMERA == 1 - return -perspectiveDepthToViewZ(depth, nearClip, farClip); - #else - return -orthographicDepthToViewZ(depth, nearClip, farClip); - #endif - } - - float getBlur(const in float distance) { - float outOfFocusDistance = - abs(distance - focusDistance) - focusRange * 0.5; - return clamp(outOfFocusDistance / transitionDistance, 0.0, 1.0); - } - - vec4 color; - float totalWeight; - float centerDistance; - float centerBlur; - vec2 blurRadius; - - void addSample(const in vec2 offset) { - vec2 uv = vUv + offset * blurRadius; - float sampleDistance = getDistance(uv); - // A sharper object in front of the pixel must not be spread on it. - float weight = sampleDistance < centerDistance - ? clamp(getBlur(sampleDistance) / centerBlur, 0.0, 1.0) - : 1.0; - color += texture2D(tDiffuse, uv) * weight; - totalWeight += weight; - } - - void main() { - color = texture2D(tDiffuse, vUv); - centerDistance = getDistance(vUv); - centerBlur = getBlur(centerDistance); - if (centerBlur <= 0.0) { - gl_FragColor = color; - return; - } - totalWeight = 1.0; - blurRadius = vec2(1.0, aspect) * maxBlur * centerBlur; - - addSample(vec2( 0.0, 1.0 )); - addSample(vec2( 0.375, 0.925)); - addSample(vec2( 0.725, 0.725)); - addSample(vec2(-0.925, 0.375)); - addSample(vec2( 1.0, 0.0 )); - addSample(vec2( 0.925, -0.375)); - addSample(vec2( 0.725, -0.725)); - addSample(vec2(-0.375, -0.925)); - addSample(vec2( 0.0, -1.0 )); - addSample(vec2(-0.375, 0.925)); - addSample(vec2(-0.725, 0.725)); - addSample(vec2( 0.925, 0.375)); - addSample(vec2(-1.0, 0.0 )); - addSample(vec2(-0.925, -0.375)); - addSample(vec2(-0.725, -0.725)); - addSample(vec2( 0.375, -0.925)); - - addSample(vec2( 0.375, 0.925) * 0.9); - addSample(vec2(-0.925, 0.375) * 0.9); - addSample(vec2( 0.925, -0.375) * 0.9); - addSample(vec2(-0.375, -0.925) * 0.9); - addSample(vec2(-0.375, 0.925) * 0.9); - addSample(vec2( 0.925, 0.375) * 0.9); - addSample(vec2(-0.925, -0.375) * 0.9); - addSample(vec2( 0.375, -0.925) * 0.9); - - addSample(vec2( 0.725, 0.725) * 0.7); - addSample(vec2( 1.0, 0.0 ) * 0.7); - addSample(vec2( 0.725, -0.725) * 0.7); - addSample(vec2( 0.0, -1.0 ) * 0.7); - addSample(vec2(-0.725, 0.725) * 0.7); - addSample(vec2(-1.0, 0.0 ) * 0.7); - addSample(vec2(-0.725, -0.725) * 0.7); - addSample(vec2( 0.0, 1.0 ) * 0.7); - - addSample(vec2( 0.725, 0.725) * 0.4); - addSample(vec2( 1.0, 0.0 ) * 0.4); - addSample(vec2( 0.725, -0.725) * 0.4); - addSample(vec2( 0.0, -1.0 ) * 0.4); - addSample(vec2(-0.725, 0.725) * 0.4); - addSample(vec2(-1.0, 0.0 ) * 0.4); - addSample(vec2(-0.725, -0.725) * 0.4); - addSample(vec2( 0.0, 1.0 ) * 0.4); - - gl_FragColor = color / totalWeight; - }`, - }; - gdjs.PixiFiltersTools.registerFilterCreator( 'Scene3D::DepthOfField', new (class implements gdjs.PixiFiltersTools.FilterCreator { @@ -153,7 +17,7 @@ namespace gdjs { return new gdjs.PixiFiltersTools.EmptyFilter(); } return new (class implements gdjs.PixiFiltersTools.Filter { - shaderPass: THREE_ADDONS.ShaderPass; + shaderPass: THREE_ADDONS.DepthOfFieldPass; _isEnabled: boolean = false; // Distances are in scene units: they are converted to the Three.js // world units before each rendering, as the world scale can change. @@ -164,9 +28,7 @@ namespace gdjs { _maxBlur: float = 6; constructor() { - this.shaderPass = new THREE_ADDONS.ShaderPass( - gdjs.PixiFiltersTools.clampThreeShaderOutput(depthOfFieldShader) - ); + this.shaderPass = new THREE_ADDONS.DepthOfFieldPass(); } isEnabled(target: EffectsTarget): boolean { @@ -228,16 +90,9 @@ namespace gdjs { uniforms.tDepth.value = depthTexture; uniforms.nearClip.value = camera.near; uniforms.farClip.value = camera.far; - const isPerspectiveCamera = - camera instanceof THREE.PerspectiveCamera; - if ( - this.shaderPass.material.defines.PERSPECTIVE_CAMERA !== - (isPerspectiveCamera ? 1 : 0) - ) { - this.shaderPass.material.defines.PERSPECTIVE_CAMERA = - isPerspectiveCamera ? 1 : 0; - this.shaderPass.material.needsUpdate = true; - } + this.shaderPass.setPerspectiveCamera( + camera instanceof THREE.PerspectiveCamera + ); const inverseWorldScale = target .getRuntimeScene() diff --git a/GDJS/Runtime/pixi-renderers/ThreeAddons.js b/GDJS/Runtime/pixi-renderers/ThreeAddons.js index 54f860c96c..72e7d89331 100644 --- a/GDJS/Runtime/pixi-renderers/ThreeAddons.js +++ b/GDJS/Runtime/pixi-renderers/ThreeAddons.js @@ -1 +1 @@ -!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports,require("three")):"function"==typeof define&&define.amd?define(["exports","three"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).THREE_ADDONS={},e.THREE)}(this,function(e,t){"use strict";function n(e){if(e&&e.__esModule)return e;var t=Object.create(null);return e&&Object.keys(e).forEach(function(n){if("default"!==n){var r=Object.getOwnPropertyDescriptor(e,n);Object.defineProperty(t,n,r.get?r:{enumerable:!0,get:function(){return e[n]}})}}),t.default=e,Object.freeze(t)}var r=n(t);class i{constructor(){this.isPass=!0,this.enabled=!0,this.needsSwap=!0,this.clear=!1,this.renderToScreen=!1}setSize(){}render(){console.error("THREE.Pass: .render() must be implemented in derived pass.")}dispose(){}}new t.OrthographicCamera(-1,1,1,-1,0,1);class a extends t.BufferGeometry{constructor(){super(),this.setAttribute("position",new t.Float32BufferAttribute([-1,3,0,-1,-1,0,3,-1,0],3)),this.setAttribute("uv",new t.Float32BufferAttribute([0,2,0,0,2,0],2))}}new a;class s extends r.BufferGeometry{boundingSphere=new r.Sphere;constructor(){super(),this.setAttribute("position",new r.BufferAttribute(new Float32Array([-1,-1,3,-1,-1,3]),2)),this.setAttribute("uv",new r.BufferAttribute(new Float32Array([0,0,2,0,0,2]),2))}computeBoundingSphere(){}}const o=new s,l=new r.OrthographicCamera;class u{constructor(e){this._mesh=new r.Mesh(o,e),this._mesh.frustumCulled=!1}render(e){e.render(this._mesh,l)}get material(){return this._mesh.material}set material(e){this._mesh.material=e}dispose(){this._mesh.material.dispose(),this._mesh.geometry.dispose()}}const h={uniforms:{sceneDiffuse:{value:null},sceneDepth:{value:null},sceneNormal:{value:null},projMat:{value:new r.Matrix4},viewMat:{value:new r.Matrix4},projViewMat:{value:new r.Matrix4},projectionMatrixInv:{value:new r.Matrix4},viewMatrixInv:{value:new r.Matrix4},cameraPos:{value:new r.Vector3},resolution:{value:new r.Vector2},biasAdjustment:{value:new r.Vector2},time:{value:0},samples:{value:[]},bluenoise:{value:null},distanceFalloff:{value:1},radius:{value:5},near:{value:.1},far:{value:1e3},ortho:{value:!1},screenSpaceRadius:{value:!1},frame:{value:0}},depthWrite:!1,depthTest:!1,vertexShader:"\nvarying vec2 vUv;\nvoid main() {\n vUv = uv;\n gl_Position = vec4(position, 1);\n}",fragmentShader:"\n #define SAMPLES 16\n #define FSAMPLES 16.0\nuniform sampler2D sceneDiffuse;\nuniform highp sampler2D sceneNormal;\nuniform highp sampler2D sceneDepth;\nuniform mat4 projectionMatrixInv;\nuniform mat4 viewMatrixInv;\nuniform mat4 projMat;\nuniform mat4 viewMat;\nuniform mat4 projViewMat;\nuniform vec3 cameraPos;\nuniform vec2 resolution;\nuniform vec2 biasAdjustment;\nuniform float time;\nuniform vec3[SAMPLES] samples;\nuniform float radius;\nuniform float distanceFalloff;\nuniform float near;\nuniform float far;\nuniform float frame;\nuniform bool ortho;\nuniform bool screenSpaceRadius;\nuniform sampler2D bluenoise;\n varying vec2 vUv;\n highp float linearize_depth(highp float d, highp float zNear,highp float zFar)\n {\n return (zFar * zNear) / (zFar - d * (zFar - zNear));\n }\n highp float linearize_depth_ortho(highp float d, highp float nearZ, highp float farZ) {\n return nearZ + (farZ - nearZ) * d;\n }\n highp float linearize_depth_log(highp float d, highp float nearZ,highp float farZ) {\n float depth = pow(2.0, d * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n /*return ortho ? linearize_depth_ortho(\n linDepth,\n nearZ,\n farZ\n ) :linearize_depth(linDepth, nearZ, farZ);*/\n #ifdef ORTHO\n\n return linearize_depth_ortho(d, nearZ, farZ);\n\n #else\n return linearize_depth(linDepth, nearZ, farZ);\n #endif\n }\n\n vec3 getWorldPosLog(vec3 posS) {\n vec2 uv = posS.xy;\n float z = posS.z;\n float nearZ =near;\n float farZ = far;\n float depth = pow(2.0, z * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n vec4 clipVec = vec4(uv, linDepth, 1.0) * 2.0 - 1.0;\n vec4 wpos = projectionMatrixInv * clipVec;\n return wpos.xyz / wpos.w;\n }\n float depthToClipZ(float depth) {\n #ifdef REVERSEDEPTH\n return depth;\n #else\n return depth * 2.0 - 1.0;\n #endif\n }\n bool isBackgroundDepth(float depth) {\n #ifdef REVERSEDEPTH\n return depth == 0.0;\n #else\n return depth == 1.0;\n #endif\n }\n vec3 getWorldPos(float depth, vec2 coord) {\n #ifdef LOGDEPTH\n #ifndef ORTHO\n return getWorldPosLog(vec3(coord, depth));\n #endif\n #endif\n #ifdef ORTHO\n float z = depthToClipZ(depth);\n vec4 clipSpacePosition = vec4(coord * 2. - 1., z, 1.);\n vec4 viewSpacePosition = projectionMatrixInv * clipSpacePosition;\n viewSpacePosition.xyz /= viewSpacePosition.w;\n return viewSpacePosition.xyz;\n #else\n vec2 ndc = coord * 2. - 1.;\n float ndcZ = depthToClipZ(depth);\n mat4 Q = projectionMatrixInv;\n vec3 view = vec3(Q[0][0] * ndc.x + Q[3][0], Q[1][1] * ndc.y + Q[3][1], Q[3][2]);\n float invW = 1. / (Q[2][3] * ndcZ + Q[3][3]);\n return view * invW;\n #endif\n }\n\n vec3 computeNormal(vec3 worldPos, vec2 vUv) {\n ivec2 p = ivec2(vUv * resolution);\n float c0 = texelFetch(sceneDepth, p, 0).x;\n float l2 = texelFetch(sceneDepth, p - ivec2(2, 0), 0).x;\n float l1 = texelFetch(sceneDepth, p - ivec2(1, 0), 0).x;\n float r1 = texelFetch(sceneDepth, p + ivec2(1, 0), 0).x;\n float r2 = texelFetch(sceneDepth, p + ivec2(2, 0), 0).x;\n float b2 = texelFetch(sceneDepth, p - ivec2(0, 2), 0).x;\n float b1 = texelFetch(sceneDepth, p - ivec2(0, 1), 0).x;\n float t1 = texelFetch(sceneDepth, p + ivec2(0, 1), 0).x;\n float t2 = texelFetch(sceneDepth, p + ivec2(0, 2), 0).x;\n\n float dl = abs((2.0 * l1 - l2) - c0);\n float dr = abs((2.0 * r1 - r2) - c0);\n float db = abs((2.0 * b1 - b2) - c0);\n float dt = abs((2.0 * t1 - t2) - c0);\n\n vec3 ce = getWorldPos(c0, vUv).xyz;\n\n vec3 dpdx = (dl < dr) ? ce - getWorldPos(l1, (vUv - vec2(1.0 / resolution.x, 0.0))).xyz\n : -ce + getWorldPos(r1, (vUv + vec2(1.0 / resolution.x, 0.0))).xyz;\n vec3 dpdy = (db < dt) ? ce - getWorldPos(b1, (vUv - vec2(0.0, 1.0 / resolution.y))).xyz\n : -ce + getWorldPos(t1, (vUv + vec2(0.0, 1.0 / resolution.y))).xyz;\n\n return normalize(cross(dpdx, dpdy));\n}\n\nmat3 makeRotationZ(float theta) {\n\tfloat c = cos(theta);\n\tfloat s = sin(theta);\n\treturn mat3(c, - s, 0,\n\t\t\ts, c, 0,\n\t\t\t0, 0, 1);\n }\n\nvoid main() {\n vec4 diffuse = texture2D(sceneDiffuse, vUv);\n float depth = texture2D(sceneDepth, vUv).x;\n if (isBackgroundDepth(depth)) {\n gl_FragColor = vec4(vec3(1.0), 1.0);\n return;\n }\n vec3 worldPos = getWorldPos(depth, vUv);\n #ifdef HALFRES\n vec3 normal = texture2D(sceneNormal, vUv).rgb;\n #else\n vec3 normal = computeNormal(worldPos, vUv);\n #endif\n vec4 noise = texture2D(bluenoise, gl_FragCoord.xy / 128.0);\n vec2 harmoniousNumbers = vec2(\n 1.618033988749895,\n 1.324717957244746\n );\n noise.rg += harmoniousNumbers * frame;\n noise.rg = fract(noise.rg);\n vec3 helperVec = vec3(0.0, 1.0, 0.0);\n if (dot(helperVec, normal) > 0.99) {\n helperVec = vec3(1.0, 0.0, 0.0);\n }\n vec3 tangent = normalize(cross(helperVec, normal));\n vec3 bitangent = cross(normal, tangent);\n mediump mat3 tbn = mat3(tangent, bitangent, normal) * makeRotationZ( noise.r * 3.1415962 * 2.0) ;\n\n mediump float occluded = 0.0;\n mediump float totalWeight = 0.0;\n float radiusToUse = screenSpaceRadius ? distance(\n worldPos,\n getWorldPos(depth, vUv +\n vec2(radius, 0.0) / resolution)\n ) : radius;\n float distanceFalloffToUse =screenSpaceRadius ?\n radiusToUse * distanceFalloff\n : radiusToUse * distanceFalloff * 0.2;\n float bias = (min(\n 0.1,\n distanceFalloffToUse * 0.1\n ) / near) * fwidth(distance(worldPos, cameraPos)) / radiusToUse;\n bias = biasAdjustment.x + biasAdjustment.y * bias;\n mediump float offsetMove = noise.g;\n mediump float offsetMoveInv = 1.0 / FSAMPLES;\n float farTimesNear = far * near;\n float farMinusNear = far - near;\n \n for(int i = 0; i < SAMPLES; i++) {\n mediump vec3 sampleDirection = tbn * samples[i];\n\n float moveAmt = fract(offsetMove);\n offsetMove += offsetMoveInv;\n vec3 samplePos = worldPos + radiusToUse * moveAmt * sampleDirection;\n vec4 offset = projMat * vec4(samplePos, 1.0);\n offset.xyz /= offset.w;\n offset.xy = offset.xy * 0.5 + 0.5;\n #ifndef REVERSEDEPTH\n offset.z = offset.z * 0.5 + 0.5;\n #endif\n \n if (all(greaterThan(offset.xyz * (1.0 - offset.xyz), vec3(0.0)))) {\n float sampleDepth = textureLod(sceneDepth, offset.xy, 0.0).x;\n\n /*#ifdef LOGDEPTH\n float distSample = linearize_depth_log(sampleDepth, near, far);\n #else\n #ifdef ORTHO\n float distSample = near + farMinusNear * sampleDepth;\n #else\n float distSample = (farTimesNear) / (far - sampleDepth * farMinusNear);\n #endif\n #endif*/\n #ifdef REVERSEDEPTH\n float distSample = -getWorldPos(sampleDepth, offset.xy).z;\n #else\n #ifdef ORTHO\n float distSample = near + sampleDepth * farMinusNear;\n #else\n #ifdef LOGDEPTH\n float distSample = linearize_depth_log(sampleDepth, near, far);\n #else\n float distSample = (farTimesNear) / (far - sampleDepth * farMinusNear);\n #endif\n #endif\n #endif\n \n #ifdef REVERSEDEPTH\n float distWorld = -samplePos.z;\n #else\n #ifdef ORTHO\n float distWorld = near + offset.z * farMinusNear;\n #else\n float distWorld = (farTimesNear) / (far - offset.z * farMinusNear);\n #endif\n #endif\n \n mediump float rangeCheck = smoothstep(0.0, 1.0, distanceFalloffToUse / (abs(distSample - distWorld)));\n vec2 diff = gl_FragCoord.xy - floor(offset.xy * resolution);\n occluded += rangeCheck * float(distSample != distWorld) * float(sampleDepth != depth) * step(distSample + bias, distWorld) * step(\n 1.0,\n dot(diff, diff)\n );\n \n totalWeight ++;\n }\n }\n float occ = clamp(1.0 - occluded / (totalWeight == 0.0 ? 1.0 : totalWeight), 0.0, 1.0);\n gl_FragColor = vec4(occ, 0.5 + 0.5 * normal);\n}"},c={uniforms:{sceneDiffuse:{value:null},sceneDepth:{value:null},tDiffuse:{value:null},transparencyDWFalse:{value:null},transparencyDWTrue:{value:null},transparencyDWTrueDepth:{value:null},transparencyAware:{value:!1},projMat:{value:new r.Matrix4},viewMat:{value:new r.Matrix4},projectionMatrixInv:{value:new r.Matrix4},resolution:{value:new r.Vector2},color:{value:new r.Vector3(0,0,0)},blueNoise:{value:null},downsampledDepth:{value:null},time:{value:0},intensity:{value:10},renderMode:{value:0},gammaCorrection:{value:!1},ortho:{value:!1},near:{value:.1},far:{value:1e3},screenSpaceRadius:{value:!1},radius:{value:0},distanceFalloff:{value:1},fog:{value:!1},fogExp:{value:!1},fogDensity:{value:0},fogNear:{value:1/0},fogFar:{value:1/0},colorMultiply:{value:!0},aoTones:{value:0}},depthWrite:!1,depthTest:!1,vertexShader:"\n\t\tvarying vec2 vUv;\n\t\tvoid main() {\n\t\t\tvUv = uv;\n\t\t\tgl_Position = vec4(position, 1);\n\t\t}",fragmentShader:"\n\t\tuniform sampler2D sceneDiffuse;\n uniform highp sampler2D sceneDepth;\n uniform highp sampler2D downsampledDepth;\n uniform highp sampler2D transparencyDWFalse;\n uniform highp sampler2D transparencyDWTrue;\n uniform highp sampler2D transparencyDWTrueDepth;\n uniform sampler2D tDiffuse;\n uniform sampler2D blueNoise;\n uniform vec2 resolution;\n uniform vec3 color;\n uniform mat4 projectionMatrixInv;\n uniform float intensity;\n uniform float renderMode;\n uniform float near;\n uniform float far;\n uniform float aoTones;\n uniform bool gammaCorrection;\n uniform bool ortho;\n uniform bool screenSpaceRadius;\n uniform bool fog;\n uniform bool fogExp;\n uniform bool colorMultiply;\n uniform bool transparencyAware;\n uniform float fogDensity;\n uniform float fogNear;\n uniform float fogFar;\n uniform float radius;\n uniform float distanceFalloff;\n varying vec2 vUv;\n highp float linearize_depth(highp float d, highp float zNear,highp float zFar)\n {\n return (zFar * zNear) / (zFar - d * (zFar - zNear));\n }\n highp float linearize_depth_ortho(highp float d, highp float nearZ, highp float farZ) {\n return nearZ + (farZ - nearZ) * d;\n }\n highp float linearize_depth_log(highp float d, highp float nearZ,highp float farZ) {\n float depth = pow(2.0, d * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n return ortho ? linearize_depth_ortho(\n linDepth,\n nearZ,\n farZ\n ) :linearize_depth(linDepth, nearZ, farZ);\n }\n vec3 getWorldPosLog(vec3 posS) {\n vec2 uv = posS.xy;\n float z = posS.z;\n float nearZ =near;\n float farZ = far;\n float depth = pow(2.0, z * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n vec4 clipVec = vec4(uv, linDepth, 1.0) * 2.0 - 1.0;\n vec4 wpos = projectionMatrixInv * clipVec;\n return wpos.xyz / wpos.w;\n }\n float depthToClipZ(float depth) {\n #ifdef REVERSEDEPTH\n return depth;\n #else\n return depth * 2.0 - 1.0;\n #endif\n }\n bool isBackgroundDepth(float depth) {\n #ifdef REVERSEDEPTH\n return depth == 0.0;\n #else\n return depth == 1.0;\n #endif\n }\n vec3 getWorldPos(float depth, vec2 coord) {\n #ifdef LOGDEPTH\n #ifndef ORTHO\n return getWorldPosLog(vec3(coord, depth));\n #endif\n #endif\n // }\n #ifdef ORTHO\n float z = depthToClipZ(depth);\n vec4 clipSpacePosition = vec4(coord * 2. - 1., z, 1.);\n vec4 viewSpacePosition = projectionMatrixInv * clipSpacePosition;\n viewSpacePosition.xyz /= viewSpacePosition.w;\n return viewSpacePosition.xyz;\n #else\n vec2 ndc = coord * 2. - 1.;\n float ndcZ = depthToClipZ(depth);\n mat4 Q = projectionMatrixInv;\n vec3 view = vec3(Q[0][0] * ndc.x + Q[3][0], Q[1][1] * ndc.y + Q[3][1], Q[3][2]);\n float invW = 1. / (Q[2][3] * ndcZ + Q[3][3]);\n return view * invW;\n #endif\n }\n \n vec3 computeNormal(vec3 worldPos, vec2 vUv) {\n ivec2 p = ivec2(vUv * resolution);\n float c0 = texelFetch(sceneDepth, p, 0).x;\n float l2 = texelFetch(sceneDepth, p - ivec2(2, 0), 0).x;\n float l1 = texelFetch(sceneDepth, p - ivec2(1, 0), 0).x;\n float r1 = texelFetch(sceneDepth, p + ivec2(1, 0), 0).x;\n float r2 = texelFetch(sceneDepth, p + ivec2(2, 0), 0).x;\n float b2 = texelFetch(sceneDepth, p - ivec2(0, 2), 0).x;\n float b1 = texelFetch(sceneDepth, p - ivec2(0, 1), 0).x;\n float t1 = texelFetch(sceneDepth, p + ivec2(0, 1), 0).x;\n float t2 = texelFetch(sceneDepth, p + ivec2(0, 2), 0).x;\n \n float dl = abs((2.0 * l1 - l2) - c0);\n float dr = abs((2.0 * r1 - r2) - c0);\n float db = abs((2.0 * b1 - b2) - c0);\n float dt = abs((2.0 * t1 - t2) - c0);\n \n vec3 ce = getWorldPos(c0, vUv).xyz;\n \n vec3 dpdx = (dl < dr) ? ce - getWorldPos(l1, (vUv - vec2(1.0 / resolution.x, 0.0))).xyz\n : -ce + getWorldPos(r1, (vUv + vec2(1.0 / resolution.x, 0.0))).xyz;\n vec3 dpdy = (db < dt) ? ce - getWorldPos(b1, (vUv - vec2(0.0, 1.0 / resolution.y))).xyz\n : -ce + getWorldPos(t1, (vUv + vec2(0.0, 1.0 / resolution.y))).xyz;\n \n return normalize(cross(dpdx, dpdy));\n }\n\n #include \n #include \n void main() {\n //vec4 texel = texture2D(tDiffuse, vUv);//vec3(0.0);\n vec4 sceneTexel = texture2D(sceneDiffuse, vUv);\n float depth = texture2D(sceneDepth, vUv).x;\n #ifdef HALFRES \n vec4 texel = vec4(0.0);\n if (isBackgroundDepth(depth)) {\n texel = vec4(1.0, 0.0, 0.0, 1.0);\n } else {\n vec3 worldPos = getWorldPos(depth, vUv);\n vec3 normal = computeNormal(getWorldPos(depth, vUv), vUv);\n // vec4 texel = texture2D(tDiffuse, vUv);\n // Find closest depth;\n float totalWeight = 0.0;\n float radiusToUse = screenSpaceRadius ? distance(\n worldPos,\n getWorldPos(depth, vUv +\n vec2(radius, 0.0) / resolution)\n ) : radius;\n float distanceFalloffToUse =screenSpaceRadius ?\n radiusToUse * distanceFalloff\n : distanceFalloff;\n for(float x = -1.0; x <= 1.0; x++) {\n for(float y = -1.0; y <= 1.0; y++) {\n vec2 offset = vec2(x, y);\n ivec2 p = ivec2(\n (vUv * resolution * 0.5) + offset\n );\n vec2 pUv = vec2(p) / (resolution * 0.5);\n float sampleDepth = texelFetch(downsampledDepth,p, 0).x;\n vec4 sampleInfo = texelFetch(tDiffuse, p, 0);\n vec3 normalSample = sampleInfo.gba * 2.0 - 1.0;\n vec3 worldPosSample = getWorldPos(sampleDepth, pUv);\n float tangentPlaneDist = abs(dot(worldPosSample - worldPos, normal));\n float rangeCheck = exp(-1.0 * tangentPlaneDist * (1.0 / distanceFalloffToUse)) * max(dot(normal, normalSample), 0.0);\n float weight = rangeCheck;\n totalWeight += weight;\n texel += sampleInfo * weight;\n }\n }\n if (totalWeight == 0.0) {\n texel = texture2D(tDiffuse, vUv);\n } else {\n texel /= totalWeight;\n }\n }\n #else\n vec4 texel = texture2D(tDiffuse, vUv);\n #endif\n\n #ifdef LOGDEPTH\n texel.r = clamp(texel.r, 0.0, 1.0);\n if (texel.r == 0.0) {\n texel.r = 1.0;\n }\n #endif\n \n float finalAo = pow(texel.r, intensity);\n if (aoTones > 0.0) {\n finalAo = ceil(finalAo * aoTones) / aoTones;\n }\n float fogFactor = 0.0;\n if (fog) {\n float fogDepth = -getWorldPos(depth, vUv).z;\n if (fogExp) {\n fogFactor = 1.0 - exp( - fogDensity * fogDensity * fogDepth * fogDepth );\n } else {\n fogFactor = smoothstep( fogNear, fogFar, fogDepth );\n }\n }\n if (transparencyAware) {\n float transparencyDWOff = texture2D(transparencyDWFalse, vUv).a;\n float transparencyDWOn = texture2D(transparencyDWTrue, vUv).a;\n float adjustmentFactorOff = transparencyDWOff;\n float depthSample = texture2D(sceneDepth, vUv).r;\n float trueDepthSample = texture2D(transparencyDWTrueDepth, vUv).r;\n float adjustmentFactorOn = (1.0 - transparencyDWOn) * (\n trueDepthSample == depthSample ? 1.0 : 0.0\n );\n float adjustmentFactor = max(adjustmentFactorOff, adjustmentFactorOn);\n finalAo = mix(finalAo, 1.0, adjustmentFactor);\n }\n finalAo = mix(finalAo, 1.0, fogFactor);\n vec3 aoApplied = color * mix(vec3(1.0), sceneTexel.rgb, float(colorMultiply));\n if (renderMode == 0.0) {\n gl_FragColor = vec4( mix(sceneTexel.rgb, aoApplied, 1.0 - finalAo), sceneTexel.a);\n } else if (renderMode == 1.0) {\n gl_FragColor = vec4( mix(vec3(1.0), aoApplied, 1.0 - finalAo), sceneTexel.a);\n } else if (renderMode == 2.0) {\n gl_FragColor = vec4( sceneTexel.rgb, sceneTexel.a);\n } else if (renderMode == 3.0) {\n if (vUv.x < 0.5) {\n gl_FragColor = vec4( sceneTexel.rgb, sceneTexel.a);\n } else if (abs(vUv.x - 0.5) < 1.0 / resolution.x) {\n gl_FragColor = vec4(1.0);\n } else {\n gl_FragColor = vec4( mix(sceneTexel.rgb, aoApplied, 1.0 - finalAo), sceneTexel.a);\n }\n } else if (renderMode == 4.0) {\n if (vUv.x < 0.5) {\n gl_FragColor = vec4( sceneTexel.rgb, sceneTexel.a);\n } else if (abs(vUv.x - 0.5) < 1.0 / resolution.x) {\n gl_FragColor = vec4(1.0);\n } else {\n gl_FragColor = vec4( mix(vec3(1.0), aoApplied, 1.0 - finalAo), sceneTexel.a);\n }\n }\n #include \n if (gammaCorrection) {\n gl_FragColor = sRGBTransferOETF(gl_FragColor);\n }\n }\n "};var d={architecture:"attention-v3-int8",formatVersion:3,globalBias:[-.32877659797668457,.4370867609977722,-.05251404270529747,1.3072023391723633,.0477047860622406,.24477416276931763,.009111796505749226,-.17459993064403534],globalFeatureInverseStandardDeviation:[10.771836280822754,1.9548665285110474,1.612365484237671],globalFeatureMean:[.9198138117790222,-.49808526039123535,.03374629095196724],globalWeights:[101,-4,7,-127,6,-11,3,1,0,-16,-7,8,-8,-1,7,-4,0,0,-12,-3,-13,1,0,2],headBias:[-.15895532071590424,.007501596584916115,-.47742825746536255,.01632097363471985,-.48355796933174133,-.1052703931927681,-.8414919376373291,-.21046382188796997],headWeights:[-45,-7,-45,-20,7,-13,120,-24,-15,-26,-19,1,27,-48,-4,-10,1,-5,-24,64,91,-1,-68,39,54,39,101,-40,-127,64,-41,-17,-23,-19,3,35,-2,33,3,9,-64,-32,30,42,-112,12,28,-11,15,2,-4,-7,7,-3,-5,1,76,48,-34,-67,103,-40,-26,1,58,-11,46,-41,5,-6,-17,-8,13,17,-35,45,27,-17,-28,7,-53,12,-51,6,-32,-5,58,-9,-28,-21,37,-12,1,20,2,2,11,7,-4,-9,2,-15,-1,-8,16,12,-27,-1,61,-5,-1,4,-7,-2,7,4,1,4,-2,4,-18,-16,28,6,-65,16,3,-3,-5,-2,0,-40,-21,-22,14,30,-21,49,15,-64,43,19,23,18,5,-15,21,21,30,17,-11,-6,22,-38,-20,97,-46,-5,-13,-59,26,-13,11,-2,-10,-8,2,-15,-17,-27,-9,26,7,-7,6,9,-32,5,-9,12,49,17,-1,24,20,35,14,-33,-50,-1,-4,-26,11,11,9,-80,30,9,36,6,-12,-4,-7,39,-10,-30,-49,1,-43,-20,-34,76,-36,-10,15,-8,43,31,38,-42,39,37,-7,7,8,16,28,-83,32,9,23,-13,39,119,23,-127,-24,8,-48,-29,-7,-33,-12,58,-24,-29,-19,12,-55,-90,0,126,26,42,54,22],keyProjectionWeights:[0,-1,-1,1,1,1,1,1,-64,32,49,23,-25,4,27,-22,0,1,-1,-1,-1,1,1,0,-34,38,64,88,13,-53,-41,58,-7,-4,79,-41,27,26,14,2,-2,1,1,1,-1,-1,1,1,1,-1,-1,-1,-1,-1,1,1,4,-3,126,42,-40,-116,35,20],name:"residual-attention-v3-50m-qat-int8-epoch-25-zo-278w",outputBias:-.0005526235327124596,outputWeights:[11,11,14,-27,9,-22,127,6],quantization:{scales:{globalWeight:.021090541950849095,headWeight:.04935851140909355,keyWeight:.1733924937791441,outputWeight:.0030087142047955295,tapInputWeight:.1096231754049479,tapOutputWeight:.017949438644286102,valueWeight:.013986751242596301},scheme:"symmetric-int8-per-tensor",zeroPoint:0},summaryQueries:[.0038647791370749474,.09565000981092453,.002756686182692647,-.08183622360229492,-.15209506452083588,-.0006105066277086735,.0010439646430313587,-.03020688332617283,.005065929610282183,.14488759636878967,.003160916268825531,-.0855727270245552,-.3123375475406647,.00039022407145239413,.0037786494940519333,.1451321840286255,-.002009483054280281,.0597594790160656,.0045239729806780815,-.08765853196382523,-.13884992897510529,-.0021647117100656033,.003985927440226078,.09727758169174194,.007170629221946001,.0786278173327446,.004103775601834059,-.1198369711637497,-.2925199568271637,-.002055276418104768,.0030450925696641207,.14401987195014954],supportedDenoiseSamples:[4,8,16],tapFeatureInverseStandardDeviation:[2.283243417739868,.8810898065567017,.8210930228233337,3.752316474914551,3.6375720500946045,2.670454978942871,10.249449729919434,.12639354169368744,100],tapFeatureMean:[.010318092070519924,.01364430133253336,.13411010801792145,-.004725644364953041,.10053129494190216,.8384788632392883,.9203217625617981,1.7139031887054443,1],tapInputBias:[.4780646860599518,-.45214661955833435,.289407879114151,.34804567694664,-.1320028454065323,.17722633481025696,.011480014771223068,-.26692497730255127],tapInputWeights:[0,1,7,0,-1,-7,0,31,-2,-1,14,-126,0,0,-1,2,26,-2,0,66,-73,0,0,0,-12,22,-3,0,-76,-90,0,-1,-7,-3,58,-1,0,2,6,0,0,3,4,-40,0,0,3,-13,0,0,1,-7,-13,0,0,-7,10,0,-2,-7,0,-39,-2,0,-13,-19,0,-2,20,-1,3,-1],tapOutputBias:[-.3867710530757904,.1349504142999649,.35706064105033875,-.5938405394554138,-.031154220923781395,1.4079623222351074,-1.9221038818359375,.6029739379882812],tapOutputWeights:[18,-4,47,19,74,-94,-21,-9,73,-59,88,-10,-3,71,-7,24,20,74,24,-31,-12,-10,-15,-45,-126,2,-4,27,-5,24,35,-11,-4,9,-8,26,-10,27,26,-20,17,-50,5,-35,0,-5,12,-71,89,-58,22,-83,-115,7,-16,-89,89,22,1,-20,-22,-25,-26,44],valueProjectionWeights:[-16,-6,40,-17,84,-76,59,51,-10,-2,-10,-1,-23,74,-70,23,-5,4,4,-7,-77,127,20,-48,-36,4,-17,-12,-4,10,29,-27,-2,11,-47,-50,-54,-3,14,11,-23,-1,109,31,4,-100,-33,-36,-19,0,-8,20,-35,-24,79,2,44,2,5,7,22,-70,-67,-35]};const f=[["tapInputWeight","tapInputWeights",8,9],["tapOutputWeight","tapOutputWeights",8,8],["globalWeight","globalWeights",8,3],["keyWeight","keyProjectionWeights",8,8],["valueWeight","valueProjectionWeights",8,8],["headWeight","headWeights",8,32],["outputWeight","outputWeights",1,8]],p=e=>{const t=d.quantization?.scales?.[e];if(!(t>0&&Number.isFinite(t)))throw new Error(`The bundled N8AO neural model has no valid ${e} scale.`);return t};if("symmetric-int8-per-tensor"!==d.quantization?.scheme||0!==d.quantization?.zeroPoint||"4,8,16"!==d.supportedDenoiseSamples?.join(",")||f.some(([,e,t,n])=>d[e]?.length!==t*n||d[e].some(e=>!Number.isInteger(e)||e<-127||e>127)))throw new Error("The bundled N8AO neural denoise model has an unsupported layout.");const m=e=>{if(!Number.isFinite(e))throw new Error("The bundled N8AO neural model contains a non-finite value.");if(Object.is(e,-0))return"0.0";const t=Number(e).toString();return/[.eE]/.test(t)?t:`${t}.0`},g=["x","y","z","w"],v=e=>[...g.map(t=>`${e}.lo.${t}`),...g.map(t=>`${e}.hi.${t}`)],x=e=>e.filter(Boolean).join(" + ")||"0.0",T=(e,t,n,r,i,a)=>{const s=r.map((r,i)=>((e,t)=>0===e?null:1===e?t:-1===e?`(-${t})`:e<0?`(-${m(-e)} * ${t})`:`${m(e)} * ${t}`)(e[t*n+i],r));return`${m(i)} * (${x(s)}) + ${m(a[t])}`},w=(e,t=" ")=>`vec4(\n${e.map(e=>`${t} ${e}`).join(",\n")}\n${t})`,y=({functionName:e,scaleName:t,weights:n,bias:r,width:i=8,relu:a=!1})=>{const s=v("inputToken"),o=p(t),l=Array.from({length:8},(e,t)=>T(n,t,i,s,o,r)),u=w(l.slice(0,4)),h=w(l.slice(4)),c=e=>a?`max(${e}, vec4(0.0))`:e;return`\n NeuralToken neural${e[0].toUpperCase()}${e.slice(1)}(NeuralToken inputToken) {\n return NeuralToken(\n ${c(u)},\n ${c(h)}\n );\n }\n`},S=(e,t,n,r,i,a,s,o={})=>Array.from({length:i},(i,l)=>{let u=t[l];for(let t=0;tT(d.tapInputWeights,t,9,D,M,b)),C=`\n NeuralToken neuralTapInput(NeuralToken raw) {\n NeuralToken scaledInput = NeuralToken(\n raw.lo * ${w(d.tapFeatureInverseStandardDeviation.slice(0,4)," ")},\n raw.hi * ${w(d.tapFeatureInverseStandardDeviation.slice(4,8)," ")}\n );\n return NeuralToken(\n max(${w(A.slice(0,4))}, vec4(0.0)),\n max(${w(A.slice(4))}, vec4(0.0))\n );\n }\n`,R=p("globalWeight"),L=S(d.globalWeights,d.globalBias,d.globalFeatureMean,d.globalFeatureInverseStandardDeviation,8,3,R),E=g.slice(0,3).map(e=>`scaledInput.${e}`),P=Array.from({length:8},(e,t)=>T(d.globalWeights,t,3,E,R,L)),B=`\n NeuralToken neuralEncodeGlobal(vec4 raw) {\n vec3 scaledInput = raw.xyz * vec3(\n ${d.globalFeatureInverseStandardDeviation.map(m).join(", ")}\n );\n return NeuralToken(\n max(${w(P.slice(0,4))}, vec4(0.0)),\n max(${w(P.slice(4))}, vec4(0.0))\n );\n }\n`,F=v("key"),N=Array.from({length:4},(e,t)=>x(F.map((e,n)=>((e,t)=>0===e?null:`${m(e)} * ${t}`)(d.summaryQueries[8*t+n],e)))),O=`\n vec4 neuralQueryScores(NeuralToken key) {\n return ${w(N)};\n }\n`,I=[];for(let e=0;e<4;e++)I.push(...g.map(t=>`runningSummaryLo[${e}].${t}`),...g.map(t=>`runningSummaryHi[${e}].${t}`));const z=p("headWeight"),U=Array.from({length:8},(e,t)=>T(d.headWeights,t,32,I,z,d.headBias)),H=`\n NeuralToken neuralHead(\n vec4 runningSummaryLo[4],\n vec4 runningSummaryHi[4]\n ) {\n return NeuralToken(\n max(${w(U.slice(0,4))}, vec4(0.0)),\n max(${w(U.slice(4))}, vec4(0.0))\n );\n }\n`,W=`\n float neuralOutput(NeuralToken head) {\n return ${T(d.outputWeights,0,8,v("head"),p("outputWeight"),[d.outputBias])};\n }\n`,k=[C,y({functionName:"tapOutput",scaleName:"tapOutputWeight",weights:d.tapOutputWeights,bias:d.tapOutputBias,relu:!0}),B,y({functionName:"keyProject",scaleName:"keyWeight",weights:d.keyProjectionWeights,bias:new Array(8).fill(0)}),y({functionName:"valueProject",scaleName:"valueWeight",weights:d.valueProjectionWeights,bias:new Array(8).fill(0)}),O,H,W].join("\n");f.reduce((e,[,t])=>e+d[t].length,0),f.reduce((e,[,t])=>e+d[t].filter(e=>0!==e).length,0);const V={uniforms:{sceneDiffuse:{value:null},sceneDepth:{value:null},tDiffuse:{value:null},projMat:{value:new r.Matrix4},viewMat:{value:new r.Matrix4},projectionMatrixInv:{value:new r.Matrix4},viewMatrixInv:{value:new r.Matrix4},cameraPos:{value:new r.Vector3},resolution:{value:new r.Vector2},time:{value:0},r:{value:5},blueNoise:{value:null},radius:{value:12},worldRadius:{value:5},index:{value:0},poissonDisk:{value:[]},distanceFalloff:{value:1},near:{value:.1},far:{value:1e3},screenSpaceRadius:{value:!1}},depthWrite:!1,depthTest:!1,vertexShader:"\n\t\tvarying vec2 vUv;\n\t\tvoid main() {\n\t\t\tvUv = uv;\n\t\t\tgl_Position = vec4(position, 1.0);\n\t\t}",fragmentShader:`\n\t\tuniform sampler2D sceneDiffuse;\n uniform highp sampler2D sceneDepth;\n uniform sampler2D tDiffuse;\n uniform sampler2D blueNoise;\n uniform mat4 projectionMatrixInv;\n uniform mat4 viewMatrixInv;\n uniform vec2 resolution;\n uniform float r;\n uniform float radius;\n uniform float worldRadius;\n uniform float index;\n uniform float near;\n uniform float far;\n uniform float distanceFalloff;\n uniform bool screenSpaceRadius;\n varying vec2 vUv;\n\n highp float linearize_depth(highp float d, highp float zNear,highp float zFar)\n {\n highp float z_n = 2.0 * d - 1.0;\n return 2.0 * zNear * zFar / (zFar + zNear - z_n * (zFar - zNear));\n }\n highp float linearize_depth_log(highp float d, highp float nearZ,highp float farZ) {\n float depth = pow(2.0, d * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n return linearize_depth(linDepth, nearZ, farZ);\n }\n highp float linearize_depth_ortho(highp float d, highp float nearZ, highp float farZ) {\n return nearZ + (farZ - nearZ) * d;\n }\n float depthToClipZ(float depth) {\n #ifdef REVERSEDEPTH\n return depth;\n #else\n return depth * 2.0 - 1.0;\n #endif\n }\n bool isBackgroundDepth(float depth) {\n #ifdef REVERSEDEPTH\n return depth == 0.0;\n #else\n return depth == 1.0;\n #endif\n }\n vec3 getWorldPosLog(vec3 posS) {\n vec2 uv = posS.xy;\n float z = posS.z;\n float nearZ =near;\n float farZ = far;\n float depth = pow(2.0, z * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n vec4 clipVec = vec4(uv, linDepth, 1.0) * 2.0 - 1.0;\n vec4 wpos = projectionMatrixInv * clipVec;\n return wpos.xyz / wpos.w;\n }\n vec3 getWorldPos(float depth, vec2 coord) {\n #ifdef LOGDEPTH\n #ifndef ORTHO\n return getWorldPosLog(vec3(coord, depth));\n #endif\n #endif\n \n #ifdef ORTHO\n float z = depthToClipZ(depth);\n vec4 clipSpacePosition = vec4(coord * 2. - 1., z, 1.);\n vec4 viewSpacePosition = projectionMatrixInv * clipSpacePosition;\n viewSpacePosition.xyz /= viewSpacePosition.w;\n return viewSpacePosition.xyz;\n #else\n vec2 ndc = coord * 2. - 1.;\n float ndcZ = depthToClipZ(depth);\n mat4 Q = projectionMatrixInv;\n vec3 view = vec3(Q[0][0] * ndc.x + Q[3][0], Q[1][1] * ndc.y + Q[3][1], Q[3][2]);\n float invW = 1.0 / (Q[2][3] * ndcZ + Q[3][3]);\n return view * invW;\n #endif\n }\n\n#ifdef NEURAL_DENOISE\n struct NeuralToken {\n highp vec4 lo;\n highp vec4 hi;\n };\n\n ${k}\n\n vec3 neuralSafeNormalize(vec3 value, vec3 fallback) {\n float lengthSquared = dot(value, value);\n return lengthSquared > 1e-12 ? value * inversesqrt(lengthSquared) : fallback;\n }\n\n mat3 neuralLocalFrame(vec3 inputNormal) {\n vec3 frameNormal = neuralSafeNormalize(inputNormal, vec3(0.0, 0.0, 1.0));\n vec3 helper = abs(frameNormal.z) < 0.999\n ? vec3(0.0, 0.0, 1.0)\n : vec3(0.0, 1.0, 0.0);\n vec3 tangent = neuralSafeNormalize(\n cross(helper, frameNormal),\n vec3(1.0, 0.0, 0.0)\n );\n vec3 bitangent = cross(frameNormal, tangent);\n return transpose(mat3(tangent, bitangent, frameNormal));\n }\n\n void neuralConsumeToken(\n NeuralToken token,\n inout vec4 runningMaximum,\n inout vec4 runningDenominator,\n inout vec4 runningSummaryLo[4],\n inout vec4 runningSummaryHi[4]\n ) {\n NeuralToken key = neuralKeyProject(token);\n NeuralToken value = neuralValueProject(token);\n vec4 score = neuralQueryScores(key) * 0.3535533905932738;\n vec4 newMaximum = max(runningMaximum, score);\n vec4 oldScale = exp(runningMaximum - newMaximum);\n vec4 newScale = exp(score - newMaximum);\n\n runningSummaryLo[0] = runningSummaryLo[0] * oldScale.x + value.lo * newScale.x;\n runningSummaryHi[0] = runningSummaryHi[0] * oldScale.x + value.hi * newScale.x;\n runningSummaryLo[1] = runningSummaryLo[1] * oldScale.y + value.lo * newScale.y;\n runningSummaryHi[1] = runningSummaryHi[1] * oldScale.y + value.hi * newScale.y;\n runningSummaryLo[2] = runningSummaryLo[2] * oldScale.z + value.lo * newScale.z;\n runningSummaryHi[2] = runningSummaryHi[2] * oldScale.z + value.hi * newScale.z;\n runningSummaryLo[3] = runningSummaryLo[3] * oldScale.w + value.lo * newScale.w;\n runningSummaryHi[3] = runningSummaryHi[3] * oldScale.w + value.hi * newScale.w;\n runningDenominator = runningDenominator * oldScale + newScale;\n runningMaximum = newMaximum;\n }\n\n void neuralEncodeTap(\n NeuralToken raw,\n inout vec4 runningMaximum,\n inout vec4 runningDenominator,\n inout vec4 runningSummaryLo[4],\n inout vec4 runningSummaryHi[4]\n ) {\n NeuralToken first = neuralTapInput(raw);\n NeuralToken token = neuralTapOutput(first);\n neuralConsumeToken(\n token,\n runningMaximum,\n runningDenominator,\n runningSummaryLo,\n runningSummaryHi\n );\n }\n\n float neuralFinish(\n float baselineAO,\n inout vec4 runningMaximum,\n inout vec4 runningDenominator,\n inout vec4 runningSummaryLo[4],\n inout vec4 runningSummaryHi[4]\n ) {\n vec4 raw = vec4(\n baselineAO,\n log(max(worldRadius, 1e-6)),\n log(max(distanceFalloff, 1e-6)),\n 0.0\n );\n NeuralToken token = neuralEncodeGlobal(raw);\n neuralConsumeToken(\n token,\n runningMaximum,\n runningDenominator,\n runningSummaryLo,\n runningSummaryHi\n );\n\n vec4 inverseDenominator = 1.0 / max(runningDenominator, vec4(1e-12));\n runningSummaryLo[0] *= inverseDenominator.x;\n runningSummaryHi[0] *= inverseDenominator.x;\n runningSummaryLo[1] *= inverseDenominator.y;\n runningSummaryHi[1] *= inverseDenominator.y;\n runningSummaryLo[2] *= inverseDenominator.z;\n runningSummaryHi[2] *= inverseDenominator.z;\n runningSummaryLo[3] *= inverseDenominator.w;\n runningSummaryHi[3] *= inverseDenominator.w;\n\n NeuralToken head = neuralHead(runningSummaryLo, runningSummaryHi);\n return neuralOutput(head);\n }\n#endif\n\n #include \n #define NUM_SAMPLES __N8AO_DENOISE_SAMPLES__\n uniform vec2 poissonDisk[NUM_SAMPLES];\n void main() {\n const float pi = 3.14159;\n vec2 texelSize = vec2(1.0 / resolution.x, 1.0 / resolution.y);\n vec2 uv = vUv;\n vec4 data = texture2D(tDiffuse, vUv);\n float occlusion = data.r;\n float baseOcc = data.r;\n vec3 normal = data.gba * 2.0 - 1.0;\n float count = 1.0;\n float d = texture2D(sceneDepth, vUv).x;\n if (isBackgroundDepth(d)) {\n gl_FragColor = data;\n return;\n }\n vec3 worldPos = getWorldPos(d, vUv);\n float size = radius;\n float angle;\n#ifdef NEURAL_DENOISE\n // The neural material is only bound for denoise iteration two.\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).z * PI2;\n#else\n if (index == 0.0) {\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).w * PI2;\n } else if (index == 1.0) {\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).z * PI2;\n } else if (index == 2.0) {\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).y * PI2;\n } else {\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).x * PI2;\n }\n#endif\n\n mat2 rotationMatrix = mat2(cos(angle), -sin(angle), sin(angle), cos(angle));\n float radiusToUse = screenSpaceRadius ? distance(\n worldPos,\n getWorldPos(d, vUv +\n vec2(worldRadius, 0.0) / resolution)\n ) : worldRadius;\n float distanceFalloffToUse =screenSpaceRadius ?\n radiusToUse * distanceFalloff\n : radiusToUse * distanceFalloff * 0.2;\n\n float invDistance = (1.0 / distanceFalloffToUse);\n#ifdef NEURAL_DENOISE\n mat3 neuralWorldToLocal = neuralLocalFrame(normal);\n float neuralInverseRadius = 1.0 / max(radiusToUse, 1e-6);\n float neuralInverseDistance = 1.0 / max(distanceFalloffToUse, 1e-6);\n vec4 neuralMaximum = vec4(-1e30);\n vec4 neuralDenominator = vec4(0.0);\n vec4 neuralSummaryLo[4];\n vec4 neuralSummaryHi[4];\n for (int query = 0; query < 4; query++) {\n neuralSummaryLo[query] = vec4(0.0);\n neuralSummaryHi[query] = vec4(0.0);\n }\n#endif\n for(int i = 0; i < NUM_SAMPLES; i++) {\n vec2 offset = (rotationMatrix * poissonDisk[i]) * texelSize * size;\n vec4 dataSample = texture2D(tDiffuse, uv + offset);\n float occSample = dataSample.r;\n vec3 normalSample = dataSample.gba * 2.0 - 1.0;\n float dSample = texture2D(sceneDepth, uv + offset).x;\n vec3 worldPosSample = getWorldPos(dSample, uv + offset);\n float tangentPlaneDist = abs(dot(worldPosSample - worldPos, normal));\n float rangeCheck = float(!isBackgroundDepth(dSample)) * exp(-1.0 * tangentPlaneDist * invDistance ) * max(dot(normal, normalSample), 0.0);\n occlusion += occSample * rangeCheck;\n count += rangeCheck;\n#ifdef NEURAL_DENOISE\n if (!isBackgroundDepth(dSample)) {\n vec3 localDelta = (neuralWorldToLocal * (worldPosSample - worldPos))\n * neuralInverseRadius;\n vec3 localNormal = neuralWorldToLocal\n * neuralSafeNormalize(normalSample, vec3(0.0, 0.0, 1.0));\n NeuralToken rawTap = NeuralToken(\n vec4(localDelta, localNormal.x),\n vec4(\n localNormal.y,\n localNormal.z,\n occSample,\n tangentPlaneDist * neuralInverseDistance\n )\n );\n neuralEncodeTap(\n rawTap,\n neuralMaximum,\n neuralDenominator,\n neuralSummaryLo,\n neuralSummaryHi\n );\n }\n#endif\n }\n if (count > 0.0) {\n occlusion /= count;\n }\n occlusion = clamp(occlusion, 0.0, 1.0);\n if (occlusion == 0.0) {\n occlusion = 1.0;\n }\n#ifdef NEURAL_DENOISE\n occlusion = clamp(\n occlusion + neuralFinish(\n occlusion,\n neuralMaximum,\n neuralDenominator,\n neuralSummaryLo,\n neuralSummaryHi\n ),\n 0.0,\n 1.0\n );\n#endif\n gl_FragColor = vec4(occlusion, 0.5 + 0.5 * normal);\n }\n `},G={uniforms:{sceneDepth:{value:null},resolution:{value:new r.Vector2},near:{value:.1},far:{value:1e3},viewMatrixInv:{value:new r.Matrix4},projectionMatrixInv:{value:new r.Matrix4},logDepth:{value:!1},ortho:{value:!1}},depthWrite:!1,depthTest:!1,vertexShader:"\n varying vec2 vUv;\n void main() {\n vUv = uv;\n gl_Position = vec4(position, 1);\n }",fragmentShader:"\n uniform highp sampler2D sceneDepth;\n uniform vec2 resolution;\n uniform float near;\n uniform float far;\n uniform bool logDepth;\n uniform bool ortho;\n uniform mat4 viewMatrixInv;\n uniform mat4 projectionMatrixInv;\n varying vec2 vUv;\n layout(location = 1) out vec4 gNormal;\n vec3 getWorldPosLog(vec3 posS) {\n vec2 uv = posS.xy;\n float z = posS.z;\n float nearZ =near;\n float farZ = far;\n float depth = pow(2.0, z * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n vec4 clipVec = vec4(uv, linDepth, 1.0) * 2.0 - 1.0;\n vec4 wpos = projectionMatrixInv * clipVec;\n return wpos.xyz / wpos.w;\n }\n vec3 getWorldPos(float depth, vec2 coord) {\n if (logDepth && !ortho) {\n return getWorldPosLog(vec3(coord, depth));\n }\n if (ortho) {\n #ifdef REVERSEDEPTH\n float z = depth;\n #else\n float z = depth * 2. - 1.;\n #endif\n vec4 clipSpacePosition = vec4(coord * 2. - 1., z, 1.);\n vec4 viewSpacePosition = projectionMatrixInv * clipSpacePosition;\n viewSpacePosition.xyz /= viewSpacePosition.w;\n return viewSpacePosition.xyz;\n }\n vec2 ndc = coord * 2. - 1.;\n #ifdef REVERSEDEPTH\n float ndcZ = depth;\n #else\n float ndcZ = depth * 2. - 1.;\n #endif\n mat4 Q = projectionMatrixInv;\n vec3 view = vec3(Q[0][0] * ndc.x + Q[3][0], Q[1][1] * ndc.y + Q[3][1], Q[3][2]);\n float invW = 1. / (Q[2][3] * ndcZ + Q[3][3]);\n return view * invW;\n }\n \n vec3 computeNormal(vec3 worldPos, vec2 vUv) {\n ivec2 p = ivec2(vUv * resolution);\n float c0 = texelFetch(sceneDepth, p, 0).x;\n float l2 = texelFetch(sceneDepth, p - ivec2(2, 0), 0).x;\n float l1 = texelFetch(sceneDepth, p - ivec2(1, 0), 0).x;\n float r1 = texelFetch(sceneDepth, p + ivec2(1, 0), 0).x;\n float r2 = texelFetch(sceneDepth, p + ivec2(2, 0), 0).x;\n float b2 = texelFetch(sceneDepth, p - ivec2(0, 2), 0).x;\n float b1 = texelFetch(sceneDepth, p - ivec2(0, 1), 0).x;\n float t1 = texelFetch(sceneDepth, p + ivec2(0, 1), 0).x;\n float t2 = texelFetch(sceneDepth, p + ivec2(0, 2), 0).x;\n \n float dl = abs((2.0 * l1 - l2) - c0);\n float dr = abs((2.0 * r1 - r2) - c0);\n float db = abs((2.0 * b1 - b2) - c0);\n float dt = abs((2.0 * t1 - t2) - c0);\n \n vec3 ce = getWorldPos(c0, vUv).xyz;\n \n vec3 dpdx = (dl < dr) ? ce - getWorldPos(l1, (vUv - vec2(1.0 / resolution.x, 0.0))).xyz\n : -ce + getWorldPos(r1, (vUv + vec2(1.0 / resolution.x, 0.0))).xyz;\n vec3 dpdy = (db < dt) ? ce - getWorldPos(b1, (vUv - vec2(0.0, 1.0 / resolution.y))).xyz\n : -ce + getWorldPos(t1, (vUv + vec2(0.0, 1.0 / resolution.y))).xyz;\n \n return normalize(cross(dpdx, dpdy));\n }\n void main() {\n vec2 uv = vUv - vec2(0.5) / resolution;\n vec2 pixelSize = vec2(1.0) / resolution;\n highp vec2[4] uvSamples;\n uvSamples[0] = uv;\n uvSamples[1] = uv + vec2(pixelSize.x, 0.0);\n uvSamples[2] = uv + vec2(0.0, pixelSize.y);\n uvSamples[3] = uv + pixelSize;\n float depth00 = texture2D(sceneDepth, uvSamples[0]).r;\n float depth10 = texture2D(sceneDepth, uvSamples[1]).r;\n float depth01 = texture2D(sceneDepth, uvSamples[2]).r;\n float depth11 = texture2D(sceneDepth, uvSamples[3]).r;\n float minDepth = min(min(depth00, depth10), min(depth01, depth11));\n float maxDepth = max(max(depth00, depth10), max(depth01, depth11));\n float targetDepth = minDepth;\n // Checkerboard pattern to avoid artifacts\n if (mod(gl_FragCoord.x + gl_FragCoord.y, 2.0) > 0.5) { \n targetDepth = maxDepth;\n }\n int chosenIndex = 0;\n float[4] samples;\n samples[0] = depth00;\n samples[1] = depth10;\n samples[2] = depth01;\n samples[3] = depth11;\n for(int i = 0; i < 4; ++i) {\n if (samples[i] == targetDepth) {\n chosenIndex = i;\n break;\n }\n }\n gl_FragColor = vec4(samples[chosenIndex], 0.0, 0.0, 1.0);\n gNormal = vec4(computeNormal(\n getWorldPos(samples[chosenIndex], uvSamples[chosenIndex]), uvSamples[chosenIndex]\n ), 0.0);\n }"},j=(()=>Uint8Array.from(atob("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"),e=>e.charCodeAt(0)))(),X=(()=>parseInt(r.REVISION.replace(/\D+/g,"")))()>=162?class extends r.WebGLRenderTarget{constructor(e=1,t=1,n=1,r={}){super(e,t,{...r,count:n}),this.isWebGLMultipleRenderTargets=!0}get texture(){return this.textures}}:class extends r.WebGLRenderTarget{constructor(e=1,t=1,n=1,r={}){super(e,t,r),this.isWebGLMultipleRenderTargets=!0;const i=this.texture;this.texture=[];for(let e=0;e{Q(e,t,n)},1)}const Y=1,K=2,Z=3;class q{constructor(){this.isPass=!0,this.enabled=!0,this.needsSwap=!0,this.clear=!1,this.renderToScreen=!1}setSize(){}render(){console.error("THREE.Pass: .render() must be implemented in derived pass.")}dispose(){}}const J=new t.OrthographicCamera(-1,1,1,-1,0,1);class _ extends t.BufferGeometry{constructor(){super(),this.setAttribute("position",new t.Float32BufferAttribute([-1,3,0,-1,-1,0,3,-1,0],3)),this.setAttribute("uv",new t.Float32BufferAttribute([0,2,0,0,2,0],2))}}const $=new _;class ee{constructor(e){this._mesh=new t.Mesh($,e)}dispose(){this._mesh.geometry.dispose()}render(e){e.render(this._mesh,J)}get material(){return this._mesh.material}set material(e){this._mesh.material=e}}const te={name:"CopyShader",uniforms:{tDiffuse:{value:null},opacity:{value:1}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform float opacity;\n\n\t\tuniform sampler2D tDiffuse;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvec4 texel = texture2D( tDiffuse, vUv );\n\t\t\tgl_FragColor = opacity * texel;\n\n\n\t\t}"};function ne(e,n){if(n===t.TrianglesDrawMode)return console.warn("THREE.BufferGeometryUtils.toTrianglesDrawMode(): Geometry already defined as triangles."),e;if(n===t.TriangleFanDrawMode||n===t.TriangleStripDrawMode){let r=e.getIndex();if(null===r){const t=[],n=e.getAttribute("position");if(void 0===n)return console.error("THREE.BufferGeometryUtils.toTrianglesDrawMode(): Undefined position attribute. Processing not possible."),e;for(let e=0;ee.times.length))/r.duration,i.names=i.names||[],n.isObject3D||(n=function(e){const n=new t.SkeletonHelper(e.bones[0]);return n.skeleton=e,n}(n));const a=Math.round(r.duration*(i.fps/1e3)*1e3),s=r.duration/(a-1),o=[],l=new t.AnimationMixer(n),u=oe(e.skeleton),h=[];let c,d,f,p,m;l.clipAction(r).play();let g=0,v=a;void 0!==i.trim?(g=Math.round(i.trim[0]*i.fps),v=Math.min(Math.round(i.trim[1]*i.fps),a)-g,l.update(i.trim[0])):l.update(0),n.updateMatrixWorld();for(let t=0;t=2.0 are supported.")));const l=new ot(i,{path:t||this.resourcePath||"",crossOrigin:this.crossOrigin,requestHeader:this.requestHeader,manager:this.manager,ktx2Loader:this.ktx2Loader,meshoptDecoder:this.meshoptDecoder});l.fileLoader.setRequestHeader(this.requestHeader);for(let e=0;e=0&&void 0===s[t]&&console.warn('THREE.GLTFLoader: Unknown extension "'+t+'".')}}l.setExtensions(a),l.setPlugins(s),l.parse(n,r)}parseAsync(e,t){const n=this;return new Promise(function(r,i){n.parse(e,t,r,i)})}}function ce(){let e={};return{get:function(t){return e[t]},add:function(t,n){e[t]=n},remove:function(t){delete e[t]},removeAll:function(){e={}}}}function de(e,t,n){const r=e.json.materials[t];return r.extensions&&r.extensions[n]?r.extensions[n]:null}const fe={KHR_BINARY_GLTF:"KHR_binary_glTF",KHR_DRACO_MESH_COMPRESSION:"KHR_draco_mesh_compression",KHR_LIGHTS_PUNCTUAL:"KHR_lights_punctual",KHR_MATERIALS_CLEARCOAT:"KHR_materials_clearcoat",KHR_MATERIALS_DISPERSION:"KHR_materials_dispersion",KHR_MATERIALS_IOR:"KHR_materials_ior",KHR_MATERIALS_SHEEN:"KHR_materials_sheen",KHR_MATERIALS_SPECULAR:"KHR_materials_specular",KHR_MATERIALS_TRANSMISSION:"KHR_materials_transmission",KHR_MATERIALS_IRIDESCENCE:"KHR_materials_iridescence",KHR_MATERIALS_ANISOTROPY:"KHR_materials_anisotropy",KHR_MATERIALS_UNLIT:"KHR_materials_unlit",KHR_MATERIALS_VOLUME:"KHR_materials_volume",KHR_TEXTURE_BASISU:"KHR_texture_basisu",KHR_TEXTURE_TRANSFORM:"KHR_texture_transform",KHR_MESH_QUANTIZATION:"KHR_mesh_quantization",KHR_MATERIALS_EMISSIVE_STRENGTH:"KHR_materials_emissive_strength",EXT_MATERIALS_BUMP:"EXT_materials_bump",EXT_TEXTURE_WEBP:"EXT_texture_webp",EXT_TEXTURE_AVIF:"EXT_texture_avif",EXT_MESHOPT_COMPRESSION:"EXT_meshopt_compression",KHR_MESHOPT_COMPRESSION:"KHR_meshopt_compression",EXT_MESH_GPU_INSTANCING:"EXT_mesh_gpu_instancing"};class pe{constructor(e){this.parser=e,this.name=fe.KHR_LIGHTS_PUNCTUAL,this.cache={refs:{},uses:{}}}_markDefs(){const e=this.parser,t=this.parser.json.nodes||[];for(let n=0,r=t.length;n=0)throw new Error("THREE.GLTFLoader: setKTX2Loader must be called before loading KTX2 textures");return null}return t.loadTextureImage(e,i.source,a)}}class Re{constructor(e){this.parser=e,this.name=fe.EXT_TEXTURE_WEBP}loadTexture(e){const t=this.name,n=this.parser,r=n.json,i=r.textures[e];if(!i.extensions||!i.extensions[t])return null;const a=i.extensions[t],s=r.images[a.source];let o=n.textureLoader;if(s.uri){const e=n.options.manager.getHandler(s.uri);null!==e&&(o=e)}return n.loadTextureImage(e,a.source,o)}}class Le{constructor(e){this.parser=e,this.name=fe.EXT_TEXTURE_AVIF}loadTexture(e){const t=this.name,n=this.parser,r=n.json,i=r.textures[e];if(!i.extensions||!i.extensions[t])return null;const a=i.extensions[t],s=r.images[a.source];let o=n.textureLoader;if(s.uri){const e=n.options.manager.getHandler(s.uri);null!==e&&(o=e)}return n.loadTextureImage(e,a.source,o)}}class Ee{constructor(e,t){this.name=t,this.parser=e}loadBufferView(e){const t=this.parser.json,n=t.bufferViews[e];if(n.extensions&&n.extensions[this.name]){const e=n.extensions[this.name],r=this.parser.getDependency("buffer",e.buffer),i=this.parser.options.meshoptDecoder;if(!i||!i.supported){if(t.extensionsRequired&&t.extensionsRequired.indexOf(this.name)>=0)throw new Error("THREE.GLTFLoader: setMeshoptDecoder must be called before loading compressed files");return null}return r.then(function(t){const n=e.byteOffset||0,r=e.byteLength||0,a=e.count,s=e.byteStride,o=new Uint8Array(t,n,r);return i.decodeGltfBufferAsync?i.decodeGltfBufferAsync(a,s,o,e.mode,e.filter).then(function(e){return e.buffer}):i.ready.then(function(){const t=new ArrayBuffer(a*s);return i.decodeGltfBuffer(new Uint8Array(t),a,s,o,e.mode,e.filter),t})})}return null}}class Pe{constructor(e){this.name=fe.EXT_MESH_GPU_INSTANCING,this.parser=e}createNodeMesh(e){const n=this.parser.json,r=n.nodes[e];if(!r.extensions||!r.extensions[this.name]||void 0===r.mesh)return null;const i=n.meshes[r.mesh];for(const e of i.primitives)if(e.mode!==Ve.TRIANGLES&&e.mode!==Ve.TRIANGLE_STRIP&&e.mode!==Ve.TRIANGLE_FAN&&void 0!==e.mode)return null;const a=r.extensions[this.name].attributes,s=[],o={};for(const e in a)s.push(this.parser.getDependency("accessor",a[e]).then(t=>(o[e]=t,o[e])));return s.length<1?null:(s.push(this.parser.createNodeMesh(e)),Promise.all(s).then(e=>{const n=e.pop(),r=n.isGroup?n.children:[n],i=e[0].count,a=[];for(const e of r){const n=new t.Matrix4,r=new t.Vector3,s=new t.Quaternion,l=new t.Vector3(1,1,1),u=new t.InstancedMesh(e.geometry,e.material,i);for(let e=0;e-1,s=a?e.match(/Firefox\/([0-9]+)\./)[1]:-1}"undefined"==typeof createImageBitmap||r&&i<17||a&&s<98?this.textureLoader=new t.TextureLoader(this.options.manager):this.textureLoader=new t.ImageBitmapLoader(this.options.manager),this.textureLoader.setCrossOrigin(this.options.crossOrigin),this.textureLoader.setRequestHeader(this.options.requestHeader),this.fileLoader=new t.FileLoader(this.options.manager),this.fileLoader.setResponseType("arraybuffer"),"use-credentials"===this.options.crossOrigin&&this.fileLoader.setWithCredentials(!0)}setExtensions(e){this.extensions=e}setPlugins(e){this.plugins=e}parse(e,t){const n=this,r=this.json,i=this.extensions;this.cache.removeAll(),this.nodeCache={},this._invokeAll(function(e){return e._markDefs&&e._markDefs()}),Promise.all(this._invokeAll(function(e){return e.beforeRoot&&e.beforeRoot()})).then(function(){return Promise.all([n.getDependencies("scene"),n.getDependencies("animation"),n.getDependencies("camera")])}).then(function(t){const a={scene:t[0][r.scene||0],scenes:t[0],animations:t[1],cameras:t[2],asset:r.asset,parser:n,userData:{}};return et(i,a,r),tt(a,r),Promise.all(n._invokeAll(function(e){return e.afterRoot&&e.afterRoot(a)})).then(function(){for(const e of a.scenes)e.updateMatrixWorld();e(a)})}).catch(t)}_markDefs(){const e=this.json.nodes||[],t=this.json.skins||[],n=this.json.meshes||[];for(let n=0,r=t.length;n{const n=this.associations.get(e);null!=n&&this.associations.set(t,n);for(const[n,r]of e.children.entries())i(r,t.children[n])};return i(n,r),r.name+="_instance_"+e.uses[t]++,r}_invokeOne(e){const t=Object.values(this.plugins);t.push(this);for(let n=0;n=2&&p.setY(t,c[e*s+1]),s>=3&&p.setZ(t,c[e*s+2]),s>=4&&p.setW(t,c[e*s+3]),s>=5)throw new Error("THREE.GLTFLoader: Unsupported itemSize in sparse BufferAttribute.")}p.normalized=d}return p})}loadTexture(e){const t=this.json,n=this.options,r=t.textures[e].source,i=t.images[r];let a=this.textureLoader;if(i.uri){const e=n.manager.getHandler(i.uri);null!==e&&(a=e)}return this.loadTextureImage(e,r,a)}loadTextureImage(e,n,r){const i=this,a=this.json,s=a.textures[e],o=a.images[n],l=(o.uri||o.bufferView)+":"+s.sampler;if(this.textureCache[l])return this.textureCache[l];const u=this.loadImageSource(n,r).then(function(n){n.flipY=!1,n.name=s.name||o.name||"",""===n.name&&"string"==typeof o.uri&&!1===o.uri.startsWith("data:image/")&&(n.name=o.uri);const r=(a.samplers||{})[s.sampler]||{};return n.magFilter=je[r.magFilter]||t.LinearFilter,n.minFilter=je[r.minFilter]||t.LinearMipmapLinearFilter,n.wrapS=Xe[r.wrapS]||t.RepeatWrapping,n.wrapT=Xe[r.wrapT]||t.RepeatWrapping,n.generateMipmaps=!n.isCompressedTexture&&n.minFilter!==t.NearestFilter&&n.minFilter!==t.LinearFilter,i.associations.set(n,{textures:e}),n}).catch(function(){return null});return this.textureCache[l]=u,u}loadImageSource(e,n){const r=this,i=this.json,a=this.options;if(void 0!==this.sourceCache[e])return this.sourceCache[e].then(e=>e.clone());const s=i.images[e],o=self.URL||self.webkitURL;let l=s.uri||"",u=!1;if(void 0!==s.bufferView)l=r.getDependency("bufferView",s.bufferView).then(function(e){u=!0;const t=new Blob([e],{type:s.mimeType});return l=o.createObjectURL(t),l});else if(void 0===s.uri)throw new Error("THREE.GLTFLoader: Image "+e+" is missing URI and bufferView");const h=Promise.resolve(l).then(function(e){return new Promise(function(r,i){let s=r;!0===n.isImageBitmapLoader&&(s=function(e){const n=new t.Texture(e);n.needsUpdate=!0,r(n)}),n.load(t.LoaderUtils.resolveURL(e,a.path),s,void 0,i)})}).then(function(e){var t;return!0===u&&o.revokeObjectURL(l),tt(e,s),e.userData.mimeType=s.mimeType||((t=s.uri).search(/\.jpe?g($|\?)/i)>0||0===t.search(/^data\:image\/jpeg/)?"image/jpeg":t.search(/\.webp($|\?)/i)>0||0===t.search(/^data\:image\/webp/)?"image/webp":t.search(/\.ktx2($|\?)/i)>0||0===t.search(/^data\:image\/ktx2/)?"image/ktx2":"image/png"),e}).catch(function(e){throw console.error("THREE.GLTFLoader: Couldn't load texture",l),e});return this.sourceCache[e]=h,h}assignTexture(e,t,n,r){const i=this;return this.getDependency("texture",n.index).then(function(a){if(!a)return null;if(void 0!==n.texCoord&&n.texCoord>0&&((a=a.clone()).channel=n.texCoord),i.extensions[fe.KHR_TEXTURE_TRANSFORM]){const e=void 0!==n.extensions?n.extensions[fe.KHR_TEXTURE_TRANSFORM]:void 0;if(e){const t=i.associations.get(a);a=i.extensions[fe.KHR_TEXTURE_TRANSFORM].extendTexture(a,e),i.associations.set(a,t)}}return void 0!==r&&(a.colorSpace=r),e[t]=a,a})}assignFinalMaterial(e){const n=e.geometry;let r=e.material;const i=void 0===n.attributes.tangent,a=void 0!==n.attributes.color,s=void 0===n.attributes.normal;if(e.isPoints){const e="PointsMaterial:"+r.uuid;let n=this.cache.get(e);n||(n=new t.PointsMaterial,t.Material.prototype.copy.call(n,r),n.color.copy(r.color),n.map=r.map,n.sizeAttenuation=!1,this.cache.add(e,n)),r=n}else if(e.isLine){const e="LineBasicMaterial:"+r.uuid;let n=this.cache.get(e);n||(n=new t.LineBasicMaterial,t.Material.prototype.copy.call(n,r),n.color.copy(r.color),n.map=r.map,this.cache.add(e,n)),r=n}if(i||a||s){let e="ClonedMaterial:"+r.uuid+":";i&&(e+="derivative-tangents:"),a&&(e+="vertex-colors:"),s&&(e+="flat-shading:");let t=this.cache.get(e);t||(t=r.clone(),a&&(t.vertexColors=!0),s&&(t.flatShading=!0),i&&(t.normalScale&&(t.normalScale.y*=-1),t.clearcoatNormalScale&&(t.clearcoatNormalScale.y*=-1)),this.cache.add(e,t),this.associations.set(t,this.associations.get(r))),r=t}e.material=r}getMaterialType(){return t.MeshStandardMaterial}loadMaterial(e){const n=this,r=this.json,i=this.extensions,a=r.materials[e];let s;const o={},l=[];if((a.extensions||{})[fe.KHR_MATERIALS_UNLIT]){const e=i[fe.KHR_MATERIALS_UNLIT];s=e.getMaterialType(),l.push(e.extendParams(o,a,n))}else{const r=a.pbrMetallicRoughness||{};if(o.color=new t.Color(1,1,1),o.opacity=1,Array.isArray(r.baseColorFactor)){const e=r.baseColorFactor;o.color.setRGB(e[0],e[1],e[2],t.LinearSRGBColorSpace),o.opacity=e[3]}void 0!==r.baseColorTexture&&l.push(n.assignTexture(o,"map",r.baseColorTexture,t.SRGBColorSpace)),o.metalness=void 0!==r.metallicFactor?r.metallicFactor:1,o.roughness=void 0!==r.roughnessFactor?r.roughnessFactor:1,void 0!==r.metallicRoughnessTexture&&(l.push(n.assignTexture(o,"metalnessMap",r.metallicRoughnessTexture)),l.push(n.assignTexture(o,"roughnessMap",r.metallicRoughnessTexture))),s=this._invokeOne(function(t){return t.getMaterialType&&t.getMaterialType(e)}),l.push(Promise.all(this._invokeAll(function(t){return t.extendMaterialParams&&t.extendMaterialParams(e,o)})))}!0===a.doubleSided&&(o.side=t.DoubleSide);const u=a.alphaMode||qe;if(u===_e?(o.transparent=!0,o.depthWrite=!1):(o.transparent=!1,u===Je&&(o.alphaTest=void 0!==a.alphaCutoff?a.alphaCutoff:.5)),void 0!==a.normalTexture&&s!==t.MeshBasicMaterial&&(l.push(n.assignTexture(o,"normalMap",a.normalTexture)),o.normalScale=new t.Vector2(1,1),void 0!==a.normalTexture.scale)){const e=a.normalTexture.scale;o.normalScale.set(e,e)}if(void 0!==a.occlusionTexture&&s!==t.MeshBasicMaterial&&(l.push(n.assignTexture(o,"aoMap",a.occlusionTexture)),void 0!==a.occlusionTexture.strength&&(o.aoMapIntensity=a.occlusionTexture.strength)),void 0!==a.emissiveFactor&&s!==t.MeshBasicMaterial){const e=a.emissiveFactor;o.emissive=(new t.Color).setRGB(e[0],e[1],e[2],t.LinearSRGBColorSpace)}return void 0!==a.emissiveTexture&&s!==t.MeshBasicMaterial&&l.push(n.assignTexture(o,"emissiveMap",a.emissiveTexture,t.SRGBColorSpace)),Promise.all(l).then(function(){const t=new s(o);return a.name&&(t.name=a.name),tt(t,a),n.associations.set(t,{materials:e}),a.extensions&&et(i,t,a),t})}createUniqueName(e){const n=t.PropertyBinding.sanitizeNodeName(e||"");return n in this.nodeNamesUsed?n+"_"+ ++this.nodeNamesUsed[n]:(this.nodeNamesUsed[n]=0,n)}loadGeometries(e){const n=this,r=this.extensions,i=this.primitiveCache;function a(e){return r[fe.KHR_DRACO_MESH_COMPRESSION].decodePrimitive(e,n).then(function(t){return lt(t,e,n)})}const s=[];for(let r=0,o=e.length;r0&&nt(d,a),d.name=n.createUniqueName(a.name||"mesh_"+e),tt(d,a),c.extensions&&et(i,d,c),n.assignFinalMaterial(d),u.push(d)}for(let t=0,r=u.length;t0){const e=n.userData.pivot,i=r[0];n.pivot=(new t.Vector3).fromArray(e),n.position.x-=e[0],n.position.y-=e[1],n.position.z-=e[2],i.position.set(0,0,0),delete n.userData.pivot}return n})}_loadNodeShallow(e){const n=this.json,r=this.extensions,i=this;if(void 0!==this.nodeCache[e])return this.nodeCache[e];const a=n.nodes[e],s=a.name?i.createUniqueName(a.name):"",o=[],l=i._invokeOne(function(t){return t.createNodeMesh&&t.createNodeMesh(e)});return l&&o.push(l),void 0!==a.camera&&o.push(i.getDependency("camera",a.camera).then(function(e){return i._getNodeRef(i.cameraCache,a.camera,e)})),i._invokeAll(function(t){return t.createNodeAttachment&&t.createNodeAttachment(e)}).forEach(function(e){o.push(e)}),this.nodeCache[e]=Promise.all(o).then(function(n){let o;if(o=!0===a.isBone?new t.Bone:n.length>1?new t.Group:1===n.length?n[0]:new t.Object3D,o!==n[0])for(let e=0,t=n.length;e1){const e=i.associations.get(o);i.associations.set(o,{...e})}}else i.associations.set(o,{});return i.associations.get(o).nodes=e,o}),this.nodeCache[e]}loadScene(e){const n=this.extensions,r=this.json.scenes[e],i=this,a=new t.Group;r.name&&(a.name=i.createUniqueName(r.name)),tt(a,r),r.extensions&&et(n,a,r);const s=r.nodes||[],o=[];for(let e=0,t=s.length;e{const n=new Map;for(const[e,r]of i.associations)(e instanceof t.Material||e instanceof t.Texture)&&n.set(e,r);return e.traverse(e=>{const t=i.associations.get(e);null!=t&&n.set(e,t)}),n})(a),a})}_createAnimationTracks(e,n,r,i,a){const s=[],o=e.name?e.name:e.uuid,l=[];function u(e){e.morphTargetInfluences&&l.push(e.name?e.name:e.uuid)}let h;switch(Ke[a.path]===Ke.weights?(u(e),e.isGroup&&e.children.forEach(u)):l.push(o),Ke[a.path]){case Ke.weights:h=t.NumberKeyframeTrack;break;case Ke.rotation:h=t.QuaternionKeyframeTrack;break;case Ke.translation:case Ke.scale:h=t.VectorKeyframeTrack;break;default:if(1===r.itemSize)h=t.NumberKeyframeTrack;else h=t.VectorKeyframeTrack}const c=void 0!==i.interpolation?Ze[i.interpolation]:t.InterpolateLinear,d=this._getArrayFromAccessor(r);for(let e=0,t=l.length;e{this.parse(e,n,i)},r,i)}parse(e,n,r=()=>{}){this.decodeDracoFile(e,n,null,null,t.SRGBColorSpace,r).catch(r)}decodeDracoFile(e,n,r,i,a=t.LinearSRGBColorSpace,s=()=>{}){const o={attributeIDs:r||this.defaultAttributeIDs,attributeTypes:i||this.defaultAttributeTypes,useUniqueIDs:!!r,vertexColorSpace:a};return this.decodeGeometry(e,o).then(n).catch(s)}decodeGeometry(e,t){const n=JSON.stringify(t);if(ut.has(e)){const t=ut.get(e);if(t.key===n)return t.promise;if(0===e.byteLength)throw new Error("THREE.DRACOLoader: Unable to re-decode a buffer with different settings. Buffer has already been transferred.")}let r;const i=this.workerNextTaskID++,a=e.byteLength,s=this._getWorker(i,a).then(n=>(r=n,new Promise((n,a)=>{r._callbacks[i]={resolve:n,reject:a},r.postMessage({type:"decode",id:i,taskConfig:t,buffer:e},[e])}))).then(e=>this._createGeometry(e.geometry));return s.catch(()=>!0).then(()=>{r&&i&&this._releaseTask(r,i)}),ut.set(e,{key:n,promise:s}),s}_createGeometry(e){const n=new t.BufferGeometry;e.index&&n.setIndex(new t.BufferAttribute(e.index.array,1));for(let r=0;r{r.load(e,t,void 0,n)})}preload(){return this._initDecoder(),this}_initDecoder(){if(this.decoderPending)return this.decoderPending;const e="object"!=typeof WebAssembly||"js"===this.decoderConfig.type,t=[],{decoderPaths:n}=this;if(e){if(null===n.dep_js)throw new Error("THREE.DRACOLoader: WebAssembly is required when using a custom decoder paths.");t.push(this._loadLibrary(n.dep_js,"text"))}else t.push(this._loadLibrary(n.js,"text")),t.push(this._loadLibrary(n.wasm,"arraybuffer"));return this.decoderPending=Promise.all(t).then(t=>{const n=t[0];e||(this.decoderConfig.wasmBinary=t[1]);const r=pt.toString(),i=["/* draco decoder */",n,"","/* worker */",r.substring(r.indexOf("{")+1,r.lastIndexOf("}"))].join("\n");this.workerSourceURL=URL.createObjectURL(new Blob([i]))}),this.decoderPending}_getWorker(e,t){return this._initDecoder().then(()=>{if(this.workerPool.lengtht._taskLoad?-1:1});const n=this.workerPool[this.workerPool.length-1];return n._taskCosts[e]=t,n._taskLoad+=t,n})}_releaseTask(e,t){e._taskLoad-=e._taskCosts[t],delete e._callbacks[t],delete e._taskCosts[t]}debug(){console.log("Task load: ",this.workerPool.map(e=>e._taskLoad))}dispose(){for(let e=0;e{const t=e.draco,s=new t.Decoder;try{const e=function(e,t,r,i){const a=i.attributeIDs,s=i.attributeTypes;let o,l;const u=t.GetEncodedGeometryType(r);if(u===e.TRIANGULAR_MESH)o=new e.Mesh,l=t.DecodeArrayToMesh(r,r.byteLength,o);else{if(u!==e.POINT_CLOUD)throw new Error("THREE.DRACOLoader: Unexpected geometry type.");o=new e.PointCloud,l=t.DecodeArrayToPointCloud(r,r.byteLength,o)}if(!l.ok()||0===o.ptr)throw new Error("THREE.DRACOLoader: Decoding failed: "+l.error_msg());const h={index:null,attributes:[]};for(const r in a){const l=self[s[r]];let u,c;if(i.useUniqueIDs)c=a[r],u=t.GetAttributeByUniqueId(o,c);else{if(c=t.GetAttributeId(o,e[a[r]]),-1===c)continue;u=t.GetAttribute(o,c)}const d=n(e,t,o,r,l,u);"color"===r&&(d.vertexColorSpace=i.vertexColorSpace),h.attributes.push(d)}u===e.TRIANGULAR_MESH&&(h.index=function(e,t,n){const r=n.num_faces(),i=3*r,a=4*i,s=e._malloc(a);t.GetTrianglesUInt32Array(n,a,s);const o=new Uint32Array(e.HEAPF32.buffer,s,i).slice();return e._free(s),{array:o,itemSize:1}}(e,t,o));return e.destroy(o),h}(t,s,new Int8Array(r),a),o=e.attributes.map(e=>e.array.buffer);e.index&&o.push(e.index.array.buffer),self.postMessage({type:"decode",id:i.id,geometry:e},o)}catch(e){console.error(e),self.postMessage({type:"error",id:i.id,error:e.message})}finally{t.destroy(s)}})}}}const mt=new t.Raycaster,gt=new t.Vector3,vt=new t.Vector3,xt=new t.Quaternion,Tt={X:new t.Vector3(1,0,0),Y:new t.Vector3(0,1,0),Z:new t.Vector3(0,0,1)},wt={type:"change"},yt={type:"mouseDown",mode:null},St={type:"mouseUp",mode:null},Mt={type:"objectChange"};class bt extends t.Controls{constructor(e,n=null){super(void 0,n);const r=new Xt(this);this._root=r;const i=new Qt;this._gizmo=i,r.add(i);const a=new Yt;this._plane=a,r.add(a);const s=this;function o(e,t){let n=t;Object.defineProperty(s,e,{get:function(){return void 0!==n?n:t},set:function(t){n!==t&&(n=t,a[e]=t,i[e]=t,s.dispatchEvent({type:e+"-changed",value:t}),s.dispatchEvent(wt))}}),s[e]=t,a[e]=t,i[e]=t}o("camera",e),o("object",void 0),o("enabled",!0),o("axis",null),o("mode","translate"),o("translationSnap",null),o("rotationSnap",null),o("scaleSnap",null),o("space","world"),o("size",1),this.viewport=null,o("dragging",!1),o("showX",!0),o("showY",!0),o("showZ",!0),o("showXY",!0),o("showYZ",!0),o("showXZ",!0),o("showXYZE",!0),o("showE",!0),o("minX",-1/0),o("maxX",1/0),o("minY",-1/0),o("maxY",1/0),o("minZ",-1/0),o("maxZ",1/0);const l=new t.Vector3,u=new t.Vector3,h=new t.Quaternion,c=new t.Quaternion,d=new t.Vector3,f=new t.Quaternion,p=new t.Vector3,m=new t.Vector3,g=new t.Vector3,v=new t.Vector3;o("worldPosition",l),o("worldPositionStart",u),o("worldQuaternion",h),o("worldQuaternionStart",c),o("cameraPosition",d),o("cameraQuaternion",f),o("pointStart",p),o("pointEnd",m),o("rotationAxis",g),o("rotationAngle",0),o("eye",v),this._offset=new t.Vector3,this._startNorm=new t.Vector3,this._endNorm=new t.Vector3,this._cameraScale=new t.Vector3,this._parentPosition=new t.Vector3,this._parentQuaternion=new t.Quaternion,this._parentQuaternionInv=new t.Quaternion,this._parentScale=new t.Vector3,this._worldScaleStart=new t.Vector3,this._worldQuaternionInv=new t.Quaternion,this._worldScale=new t.Vector3,this._positionStart=new t.Vector3,this._quaternionStart=new t.Quaternion,this._scaleStart=new t.Vector3,this._getPointer=Dt.bind(this),this._onPointerDown=Ct.bind(this),this._onPointerHover=At.bind(this),this._onPointerMove=Rt.bind(this),this._onPointerUp=Lt.bind(this),null!==n&&this.connect(n)}connect(e){super.connect(e),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointermove",this._onPointerHover),this.domElement.addEventListener("pointerup",this._onPointerUp),this.domElement.style.touchAction="none"}disconnect(){this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.removeEventListener("pointermove",this._onPointerHover),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.domElement.removeEventListener("pointerup",this._onPointerUp),this.domElement.style.touchAction=""}getHelper(){return this._root}pointerHover(e){if(void 0===this.object||!0===this.dragging)return;null!==e&&mt.setFromCamera(e,this.camera);const t=Et(this._gizmo.picker[this.mode],mt);this.axis=t?t.object.name:null}pointerDown(e){if(void 0!==this.object&&!0!==this.dragging&&(null==e||0===e.button)&&null!==this.axis){null!==e&&mt.setFromCamera(e,this.camera);const t=Et(this._plane,mt,!0);t&&(this.object.updateMatrixWorld(),this.object.parent.updateMatrixWorld(),this._positionStart.copy(this.object.position),this._quaternionStart.copy(this.object.quaternion),this._scaleStart.copy(this.object.scale),this.object.matrixWorld.decompose(this.worldPositionStart,this.worldQuaternionStart,this._worldScaleStart),this.pointStart.copy(t.point).sub(this.worldPositionStart)),this.dragging=!0,yt.mode=this.mode,this.dispatchEvent(yt)}}pointerMove(e){const t=this.axis,n=this.mode,r=this.object;let i=this.space;if("scale"===n?i="local":"E"!==t&&"XYZE"!==t&&"XYZ"!==t||(i="world"),void 0===r||null===t||!1===this.dragging||null!==e&&-1!==e.button)return;null!==e&&mt.setFromCamera(e,this.camera);const a=Et(this._plane,mt,!0);if(a){if(this.pointEnd.copy(a.point).sub(this.worldPositionStart),"translate"===n)this._offset.copy(this.pointEnd).sub(this.pointStart),"local"===i&&"XYZ"!==t&&this._offset.applyQuaternion(this._worldQuaternionInv),-1===t.indexOf("X")&&(this._offset.x=0),-1===t.indexOf("Y")&&(this._offset.y=0),-1===t.indexOf("Z")&&(this._offset.z=0),"local"===i&&"XYZ"!==t?this._offset.applyQuaternion(this._quaternionStart).divide(this._parentScale):this._offset.applyQuaternion(this._parentQuaternionInv).divide(this._parentScale),r.position.copy(this._offset).add(this._positionStart),this.translationSnap&&("local"===i&&(r.position.applyQuaternion(xt.copy(this._quaternionStart).invert()),-1!==t.search("X")&&(r.position.x=Math.round(r.position.x/this.translationSnap)*this.translationSnap),-1!==t.search("Y")&&(r.position.y=Math.round(r.position.y/this.translationSnap)*this.translationSnap),-1!==t.search("Z")&&(r.position.z=Math.round(r.position.z/this.translationSnap)*this.translationSnap),r.position.applyQuaternion(this._quaternionStart)),"world"===i&&(r.getWorldPosition(gt),-1!==t.search("X")&&(gt.x=Math.round(gt.x/this.translationSnap)*this.translationSnap),-1!==t.search("Y")&&(gt.y=Math.round(gt.y/this.translationSnap)*this.translationSnap),-1!==t.search("Z")&&(gt.z=Math.round(gt.z/this.translationSnap)*this.translationSnap),r.position.copy(r.parent.worldToLocal(gt)))),r.position.x=Math.max(this.minX,Math.min(this.maxX,r.position.x)),r.position.y=Math.max(this.minY,Math.min(this.maxY,r.position.y)),r.position.z=Math.max(this.minZ,Math.min(this.maxZ,r.position.z));else if("scale"===n){if(-1!==t.search("XYZ")){let e=this.pointEnd.length()/this.pointStart.length();this.pointEnd.dot(this.pointStart)<0&&(e*=-1),vt.set(e,e,e)}else gt.copy(this.pointStart),vt.copy(this.pointEnd),gt.applyQuaternion(this._worldQuaternionInv),vt.applyQuaternion(this._worldQuaternionInv),vt.divide(gt),-1===t.search("X")&&(vt.x=1),-1===t.search("Y")&&(vt.y=1),-1===t.search("Z")&&(vt.z=1);r.scale.copy(this._scaleStart).multiply(vt),this.scaleSnap&&(-1!==t.search("X")&&(r.scale.x=Math.round(r.scale.x/this.scaleSnap)*this.scaleSnap||this.scaleSnap),-1!==t.search("Y")&&(r.scale.y=Math.round(r.scale.y/this.scaleSnap)*this.scaleSnap||this.scaleSnap),-1!==t.search("Z")&&(r.scale.z=Math.round(r.scale.z/this.scaleSnap)*this.scaleSnap||this.scaleSnap))}else if("rotate"===n){this._offset.copy(this.pointEnd).sub(this.pointStart);const e=20/this.worldPosition.distanceTo(gt.setFromMatrixPosition(this.camera.matrixWorld));let n=!1;"XYZE"===t?(this.rotationAxis.copy(this._offset).cross(this.eye).normalize(),this.rotationAngle=this._offset.dot(gt.copy(this.rotationAxis).cross(this.eye))*e):"X"!==t&&"Y"!==t&&"Z"!==t||(this.rotationAxis.copy(Tt[t]),gt.copy(Tt[t]),"local"===i&>.applyQuaternion(this.worldQuaternion),gt.cross(this.eye),0===gt.length()?n=!0:this.rotationAngle=this._offset.dot(gt.normalize())*e),("E"===t||n)&&(this.rotationAxis.copy(this.eye),this.rotationAngle=this.pointEnd.angleTo(this.pointStart),this._startNorm.copy(this.pointStart).normalize(),this._endNorm.copy(this.pointEnd).normalize(),this.rotationAngle*=this._endNorm.cross(this._startNorm).dot(this.eye)<0?1:-1),this.rotationSnap&&(this.rotationAngle=Math.round(this.rotationAngle/this.rotationSnap)*this.rotationSnap),"local"===i&&"E"!==t&&"XYZE"!==t?(r.quaternion.copy(this._quaternionStart),r.quaternion.multiply(xt.setFromAxisAngle(this.rotationAxis,this.rotationAngle)).normalize()):(this.rotationAxis.applyQuaternion(this._parentQuaternionInv),r.quaternion.copy(xt.setFromAxisAngle(this.rotationAxis,this.rotationAngle)),r.quaternion.multiply(this._quaternionStart).normalize())}this.dispatchEvent(wt),this.dispatchEvent(Mt)}}pointerUp(e){null!==e&&0!==e.button||(this.dragging&&null!==this.axis&&(St.mode=this.mode,this.dispatchEvent(St)),this.dragging=!1,this.axis=null)}dispose(){this.disconnect(),this._root.dispose()}attach(e){return this.object=e,this._root.visible=!0,this}detach(){return this.object=void 0,this.axis=null,this._root.visible=!1,this}reset(){this.enabled&&this.dragging&&(this.object.position.copy(this._positionStart),this.object.quaternion.copy(this._quaternionStart),this.object.scale.copy(this._scaleStart),this.dispatchEvent(wt),this.dispatchEvent(Mt),this.pointStart.copy(this.pointEnd))}getRaycaster(){return mt}getMode(){return this.mode}setMode(e){this.mode=e}setTranslationSnap(e){this.translationSnap=e}setRotationSnap(e){this.rotationSnap=e}setScaleSnap(e){this.scaleSnap=e}setSize(e){this.size=e}setSpace(e){this.space=e}setColors(e,t,n,r){const i=this._gizmo.materialLib;i.xAxis.color.set(e),i.yAxis.color.set(t),i.zAxis.color.set(n),i.active.color.set(r),i.xAxisTransparent.color.set(e),i.yAxisTransparent.color.set(t),i.zAxisTransparent.color.set(n),i.activeTransparent.color.set(r),i.xAxis._color&&i.xAxis._color.set(e),i.yAxis._color&&i.yAxis._color.set(t),i.zAxis._color&&i.zAxis._color.set(n),i.active._color&&i.active._color.set(r),i.xAxisTransparent._color&&i.xAxisTransparent._color.set(e),i.yAxisTransparent._color&&i.yAxisTransparent._color.set(t),i.zAxisTransparent._color&&i.zAxisTransparent._color.set(n),i.activeTransparent._color&&i.activeTransparent._color.set(r)}}function Dt(e){if(this.domElement.ownerDocument.pointerLockElement)return{x:0,y:0,button:e.button};{const t=this.domElement.getBoundingClientRect(),n=this.viewport;let r,i,a,s;return null!==n?(r=n.x,i=t.height-n.y-n.w,a=n.z,s=n.w):(r=0,i=0,a=t.width,s=t.height),{x:(e.clientX-t.left-r)/a*2-1,y:-(e.clientY-t.top-i)/s*2+1,button:e.button}}}function At(e){if(this.enabled)switch(e.pointerType){case"mouse":case"pen":this.pointerHover(this._getPointer(e))}}function Ct(e){this.enabled&&(document.pointerLockElement||this.domElement.setPointerCapture(e.pointerId),this.domElement.addEventListener("pointermove",this._onPointerMove),this.pointerHover(this._getPointer(e)),this.pointerDown(this._getPointer(e)))}function Rt(e){this.enabled&&this.pointerMove(this._getPointer(e))}function Lt(e){this.enabled&&(this.domElement.releasePointerCapture(e.pointerId),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.pointerUp(this._getPointer(e)))}function Et(e,t,n){const r=t.intersectObject(e,!0);for(let e=0;ee&&(r.scale.set(1e-10,1e-10,1e-10),r.visible=!1),"Y"===r.name&&Math.abs(Bt.copy(Wt).applyQuaternion(t).dot(this.eye))>e&&(r.scale.set(1e-10,1e-10,1e-10),r.visible=!1),"Z"===r.name&&Math.abs(Bt.copy(kt).applyQuaternion(t).dot(this.eye))>e&&(r.scale.set(1e-10,1e-10,1e-10),r.visible=!1),"XY"===r.name&&Math.abs(Bt.copy(kt).applyQuaternion(t).dot(this.eye)).9&&(r.visible=!1)),"Y"===this.axis&&(xt.setFromEuler(Pt.set(0,0,Math.PI/2)),r.quaternion.copy(t).multiply(xt),Math.abs(Bt.copy(Wt).applyQuaternion(t).dot(this.eye))>.9&&(r.visible=!1)),"Z"===this.axis&&(xt.setFromEuler(Pt.set(0,Math.PI/2,0)),r.quaternion.copy(t).multiply(xt),Math.abs(Bt.copy(kt).applyQuaternion(t).dot(this.eye))>.9&&(r.visible=!1)),"XYZE"===this.axis&&(xt.setFromEuler(Pt.set(0,Math.PI/2,0)),Bt.copy(this.rotationAxis),r.quaternion.setFromRotationMatrix(Nt.lookAt(Ft,Bt,Wt)),r.quaternion.multiply(xt),r.visible=this.dragging),"E"===this.axis&&(r.visible=!1)):"START"===r.name?(r.position.copy(this.worldPositionStart),r.visible=this.dragging):"END"===r.name?(r.position.copy(this.worldPosition),r.visible=this.dragging):"DELTA"===r.name?(r.position.copy(this.worldPositionStart),r.quaternion.copy(this.worldQuaternionStart),gt.set(1e-10,1e-10,1e-10).add(this.worldPositionStart).sub(this.worldPosition).multiplyScalar(-1),gt.applyQuaternion(this.worldQuaternionStart.clone().invert()),r.scale.copy(gt),r.visible=this.dragging):(r.quaternion.copy(t),this.dragging?r.position.copy(this.worldPositionStart):r.position.copy(this.worldPosition),this.axis&&(r.visible=-1!==this.axis.search(r.name)))}super.updateMatrixWorld(e)}}class Yt extends t.Mesh{constructor(){super(new t.PlaneGeometry(1e5,1e5,2,2),new t.MeshBasicMaterial({visible:!1,wireframe:!0,side:t.DoubleSide,transparent:!0,opacity:.1,toneMapped:!1})),this.isTransformControlsPlane=!0,this.type="TransformControlsPlane"}updateMatrixWorld(e){let t=this.space;switch(this.position.copy(this.worldPosition),"scale"===this.mode&&(t="local"),Vt.copy(Ht).applyQuaternion("local"===t?this.worldQuaternion:It),Gt.copy(Wt).applyQuaternion("local"===t?this.worldQuaternion:It),jt.copy(kt).applyQuaternion("local"===t?this.worldQuaternion:It),Bt.copy(Gt),this.mode){case"translate":case"scale":switch(this.axis){case"X":Bt.copy(this.eye).cross(Vt),zt.copy(Vt).cross(Bt);break;case"Y":Bt.copy(this.eye).cross(Gt),zt.copy(Gt).cross(Bt);break;case"Z":Bt.copy(this.eye).cross(jt),zt.copy(jt).cross(Bt);break;case"XY":zt.copy(jt);break;case"YZ":zt.copy(Vt);break;case"XZ":Bt.copy(jt),zt.copy(Gt);break;case"XYZ":case"E":zt.set(0,0,0)}break;default:zt.set(0,0,0)}0===zt.length()?this.quaternion.copy(this.cameraQuaternion):(Ut.lookAt(gt.set(0,0,0),zt,Bt),this.quaternion.setFromRotationMatrix(Ut)),super.updateMatrixWorld(e)}}const Kt=new t.Frustum,Zt=new t.Vector3,qt=new t.Vector3,Jt=new t.Vector3,_t=new t.Vector3,$t=new t.Vector3,en=new t.Vector3,tn=new t.Vector3,nn=new t.Vector3,rn=new t.Vector3,an=new t.Vector3,sn=new t.Vector3,on=new t.Vector3,ln=new t.Vector3,un=new t.Vector3,hn=new t.Matrix4,cn=new t.Quaternion,dn=new t.Vector3;class fn extends q{constructor(e,n="tDiffuse"){super(),this.textureID=n,this.uniforms=null,this.material=null,e instanceof t.ShaderMaterial?(this.uniforms=e.uniforms,this.material=e):e&&(this.uniforms=t.UniformsUtils.clone(e.uniforms),this.material=new t.ShaderMaterial({name:void 0!==e.name?e.name:"unspecified",defines:Object.assign({},e.defines),uniforms:this.uniforms,vertexShader:e.vertexShader,fragmentShader:e.fragmentShader})),this._fsQuad=new ee(this.material)}render(e,t,n){this.uniforms[this.textureID]&&(this.uniforms[this.textureID].value=n.texture),this._fsQuad.material=this.material,this.renderToScreen?(e.setRenderTarget(null),this._fsQuad.render(e)):(e.setRenderTarget(t),this.clear&&e.clear(e.autoClearColor,e.autoClearDepth,e.autoClearStencil),this._fsQuad.render(e))}dispose(){this.material.dispose(),this._fsQuad.dispose()}}class pn extends q{constructor(e,t){super(),this.scene=e,this.camera=t,this.clear=!0,this.needsSwap=!1,this.inverse=!1}render(e,t,n){const r=e.getContext(),i=e.state;let a,s;i.buffers.color.setMask(!1),i.buffers.depth.setMask(!1),i.buffers.color.setLocked(!0),i.buffers.depth.setLocked(!0),this.inverse?(a=0,s=1):(a=1,s=0),i.buffers.stencil.setTest(!0),i.buffers.stencil.setOp(r.REPLACE,r.REPLACE,r.REPLACE),i.buffers.stencil.setFunc(r.ALWAYS,a,4294967295),i.buffers.stencil.setClear(s),i.buffers.stencil.setLocked(!0),e.setRenderTarget(n),this.clear&&e.clear(),e.render(this.scene,this.camera),e.setRenderTarget(t),this.clear&&e.clear(),e.render(this.scene,this.camera),i.buffers.color.setLocked(!1),i.buffers.depth.setLocked(!1),i.buffers.color.setMask(!0),i.buffers.depth.setMask(!0),i.buffers.stencil.setLocked(!1),i.buffers.stencil.setFunc(r.EQUAL,1,4294967295),i.buffers.stencil.setOp(r.KEEP,r.KEEP,r.KEEP),i.buffers.stencil.setLocked(!0)}}class mn extends q{constructor(){super(),this.needsSwap=!1}render(e){e.state.buffers.stencil.setLocked(!1),e.state.buffers.stencil.setTest(!1)}}class gn extends q{constructor(e,n,r,i){super(),this.renderScene=n,this.renderCamera=r,this.selectedObjects=void 0!==i?i:[],this.visibleEdgeColor=new t.Color(1,1,1),this.hiddenEdgeColor=new t.Color(.1,.04,.02),this.edgeGlow=0,this.usePatternTexture=!1,this.patternTexture=null,this.edgeThickness=1,this.edgeStrength=3,this.downSampleRatio=2,this.pulsePeriod=0,this._visibilityCache=new Map,this._selectionCache=new Set,this.resolution=void 0!==e?new t.Vector2(e.x,e.y):new t.Vector2(256,256);const a=Math.round(this.resolution.x/this.downSampleRatio),s=Math.round(this.resolution.y/this.downSampleRatio);this.renderTargetMaskBuffer=new t.WebGLRenderTarget(this.resolution.x,this.resolution.y),this.renderTargetMaskBuffer.texture.name="OutlinePass.mask",this.renderTargetMaskBuffer.texture.generateMipmaps=!1,this.depthMaterial=new t.MeshDepthMaterial,this.depthMaterial.side=t.DoubleSide,this.depthMaterial.depthPacking=t.RGBADepthPacking,this.depthMaterial.blending=t.NoBlending,this.prepareMaskMaterial=this._getPrepareMaskMaterial(),this.prepareMaskMaterial.side=t.DoubleSide,this.prepareMaskMaterial.fragmentShader=function(e,t){const n=t.isPerspectiveCamera?"perspective":"orthographic";return e.replace(/DEPTH_TO_VIEW_Z/g,n+"DepthToViewZ")}(this.prepareMaskMaterial.fragmentShader,this.renderCamera),this.renderTargetDepthBuffer=new t.WebGLRenderTarget(this.resolution.x,this.resolution.y,{type:t.HalfFloatType}),this.renderTargetDepthBuffer.texture.name="OutlinePass.depth",this.renderTargetDepthBuffer.texture.generateMipmaps=!1,this.renderTargetMaskDownSampleBuffer=new t.WebGLRenderTarget(a,s,{type:t.HalfFloatType}),this.renderTargetMaskDownSampleBuffer.texture.name="OutlinePass.depthDownSample",this.renderTargetMaskDownSampleBuffer.texture.generateMipmaps=!1,this.renderTargetBlurBuffer1=new t.WebGLRenderTarget(a,s,{type:t.HalfFloatType}),this.renderTargetBlurBuffer1.texture.name="OutlinePass.blur1",this.renderTargetBlurBuffer1.texture.generateMipmaps=!1,this.renderTargetBlurBuffer2=new t.WebGLRenderTarget(Math.round(a/2),Math.round(s/2),{type:t.HalfFloatType}),this.renderTargetBlurBuffer2.texture.name="OutlinePass.blur2",this.renderTargetBlurBuffer2.texture.generateMipmaps=!1,this.edgeDetectionMaterial=this._getEdgeDetectionMaterial(),this.renderTargetEdgeBuffer1=new t.WebGLRenderTarget(a,s,{type:t.HalfFloatType}),this.renderTargetEdgeBuffer1.texture.name="OutlinePass.edge1",this.renderTargetEdgeBuffer1.texture.generateMipmaps=!1,this.renderTargetEdgeBuffer2=new t.WebGLRenderTarget(Math.round(a/2),Math.round(s/2),{type:t.HalfFloatType}),this.renderTargetEdgeBuffer2.texture.name="OutlinePass.edge2",this.renderTargetEdgeBuffer2.texture.generateMipmaps=!1;this.separableBlurMaterial1=this._getSeparableBlurMaterial(4),this.separableBlurMaterial1.uniforms.texSize.value.set(a,s),this.separableBlurMaterial1.uniforms.kernelRadius.value=1,this.separableBlurMaterial2=this._getSeparableBlurMaterial(4),this.separableBlurMaterial2.uniforms.texSize.value.set(Math.round(a/2),Math.round(s/2)),this.separableBlurMaterial2.uniforms.kernelRadius.value=4,this.overlayMaterial=this._getOverlayMaterial();const o=te;this.copyUniforms=t.UniformsUtils.clone(o.uniforms),this.materialCopy=new t.ShaderMaterial({uniforms:this.copyUniforms,vertexShader:o.vertexShader,fragmentShader:o.fragmentShader,blending:t.NoBlending,depthTest:!1,depthWrite:!1}),this.enabled=!0,this.needsSwap=!1,this._oldClearColor=new t.Color,this.oldClearAlpha=1,this._fsQuad=new ee(null),this.tempPulseColor1=new t.Color,this.tempPulseColor2=new t.Color,this.textureMatrix=new t.Matrix4}dispose(){this.renderTargetMaskBuffer.dispose(),this.renderTargetDepthBuffer.dispose(),this.renderTargetMaskDownSampleBuffer.dispose(),this.renderTargetBlurBuffer1.dispose(),this.renderTargetBlurBuffer2.dispose(),this.renderTargetEdgeBuffer1.dispose(),this.renderTargetEdgeBuffer2.dispose(),this.depthMaterial.dispose(),this.prepareMaskMaterial.dispose(),this.edgeDetectionMaterial.dispose(),this.separableBlurMaterial1.dispose(),this.separableBlurMaterial2.dispose(),this.overlayMaterial.dispose(),this.materialCopy.dispose(),this._fsQuad.dispose()}setSize(e,t){this.renderTargetMaskBuffer.setSize(e,t),this.renderTargetDepthBuffer.setSize(e,t);let n=Math.round(e/this.downSampleRatio),r=Math.round(t/this.downSampleRatio);this.renderTargetMaskDownSampleBuffer.setSize(n,r),this.renderTargetBlurBuffer1.setSize(n,r),this.renderTargetEdgeBuffer1.setSize(n,r),this.separableBlurMaterial1.uniforms.texSize.value.set(n,r),n=Math.round(n/2),r=Math.round(r/2),this.renderTargetBlurBuffer2.setSize(n,r),this.renderTargetEdgeBuffer2.setSize(n,r),this.separableBlurMaterial2.uniforms.texSize.value.set(n,r)}render(e,t,n,r,i){if(this.selectedObjects.length>0){e.getClearColor(this._oldClearColor),this.oldClearAlpha=e.getClearAlpha();const t=e.autoClear;e.autoClear=!1,i&&e.state.buffers.stencil.setTest(!1),e.setClearColor(16777215,1),this._updateSelectionCache(),this._changeVisibilityOfSelectedObjects(!1);const r=this.renderScene.background,a=this.renderScene.overrideMaterial;if(this.renderScene.background=null,this.renderScene.overrideMaterial=this.depthMaterial,e.setRenderTarget(this.renderTargetDepthBuffer),e.clear(),e.render(this.renderScene,this.renderCamera),this._changeVisibilityOfSelectedObjects(!0),this._visibilityCache.clear(),this._updateTextureMatrix(),this._changeVisibilityOfNonSelectedObjects(!1),this.renderScene.overrideMaterial=this.prepareMaskMaterial,this.prepareMaskMaterial.uniforms.cameraNearFar.value.set(this.renderCamera.near,this.renderCamera.far),this.prepareMaskMaterial.uniforms.depthTexture.value=this.renderTargetDepthBuffer.texture,this.prepareMaskMaterial.uniforms.textureMatrix.value=this.textureMatrix,e.setRenderTarget(this.renderTargetMaskBuffer),e.clear(),e.render(this.renderScene,this.renderCamera),this._changeVisibilityOfNonSelectedObjects(!0),this._visibilityCache.clear(),this._selectionCache.clear(),this.renderScene.background=r,this.renderScene.overrideMaterial=a,this._fsQuad.material=this.materialCopy,this.copyUniforms.tDiffuse.value=this.renderTargetMaskBuffer.texture,e.setRenderTarget(this.renderTargetMaskDownSampleBuffer),e.clear(),this._fsQuad.render(e),this.tempPulseColor1.copy(this.visibleEdgeColor),this.tempPulseColor2.copy(this.hiddenEdgeColor),this.pulsePeriod>0){const e=.625+.75*Math.cos(.01*performance.now()/this.pulsePeriod)/2;this.tempPulseColor1.multiplyScalar(e),this.tempPulseColor2.multiplyScalar(e)}this._fsQuad.material=this.edgeDetectionMaterial,this.edgeDetectionMaterial.uniforms.maskTexture.value=this.renderTargetMaskDownSampleBuffer.texture,this.edgeDetectionMaterial.uniforms.texSize.value.set(this.renderTargetMaskDownSampleBuffer.width,this.renderTargetMaskDownSampleBuffer.height),this.edgeDetectionMaterial.uniforms.visibleEdgeColor.value=this.tempPulseColor1,this.edgeDetectionMaterial.uniforms.hiddenEdgeColor.value=this.tempPulseColor2,e.setRenderTarget(this.renderTargetEdgeBuffer1),e.clear(),this._fsQuad.render(e),this._fsQuad.material=this.separableBlurMaterial1,this.separableBlurMaterial1.uniforms.colorTexture.value=this.renderTargetEdgeBuffer1.texture,this.separableBlurMaterial1.uniforms.direction.value=gn.BlurDirectionX,this.separableBlurMaterial1.uniforms.kernelRadius.value=this.edgeThickness,e.setRenderTarget(this.renderTargetBlurBuffer1),e.clear(),this._fsQuad.render(e),this.separableBlurMaterial1.uniforms.colorTexture.value=this.renderTargetBlurBuffer1.texture,this.separableBlurMaterial1.uniforms.direction.value=gn.BlurDirectionY,e.setRenderTarget(this.renderTargetEdgeBuffer1),e.clear(),this._fsQuad.render(e),this._fsQuad.material=this.separableBlurMaterial2,this.separableBlurMaterial2.uniforms.colorTexture.value=this.renderTargetEdgeBuffer1.texture,this.separableBlurMaterial2.uniforms.direction.value=gn.BlurDirectionX,e.setRenderTarget(this.renderTargetBlurBuffer2),e.clear(),this._fsQuad.render(e),this.separableBlurMaterial2.uniforms.colorTexture.value=this.renderTargetBlurBuffer2.texture,this.separableBlurMaterial2.uniforms.direction.value=gn.BlurDirectionY,e.setRenderTarget(this.renderTargetEdgeBuffer2),e.clear(),this._fsQuad.render(e),this._fsQuad.material=this.overlayMaterial,this.overlayMaterial.uniforms.maskTexture.value=this.renderTargetMaskBuffer.texture,this.overlayMaterial.uniforms.edgeTexture1.value=this.renderTargetEdgeBuffer1.texture,this.overlayMaterial.uniforms.edgeTexture2.value=this.renderTargetEdgeBuffer2.texture,this.overlayMaterial.uniforms.patternTexture.value=this.patternTexture,this.overlayMaterial.uniforms.edgeStrength.value=this.edgeStrength,this.overlayMaterial.uniforms.edgeGlow.value=this.edgeGlow,this.overlayMaterial.uniforms.usePatternTexture.value=this.usePatternTexture,i&&e.state.buffers.stencil.setTest(!0),e.setRenderTarget(n),this._fsQuad.render(e),e.setClearColor(this._oldClearColor,this.oldClearAlpha),e.autoClear=t}this.renderToScreen&&(this._fsQuad.material=this.materialCopy,this.copyUniforms.tDiffuse.value=n.texture,e.setRenderTarget(null),this._fsQuad.render(e))}_updateSelectionCache(){const e=this._selectionCache;function t(t){t.isMesh&&e.add(t)}e.clear();for(let e=0;e\n\t\t\t\t#include \n\t\t\t\t#include \n\n\t\t\t\tvarying vec4 projTexCoord;\n\t\t\t\tvarying vec4 vPosition;\n\t\t\t\tuniform mat4 textureMatrix;\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\n\t\t\t\t\tvPosition = mvPosition;\n\n\t\t\t\t\tvec4 worldPosition = vec4( transformed, 1.0 );\n\n\t\t\t\t\t#ifdef USE_INSTANCING\n\n\t\t\t\t\t\tworldPosition = instanceMatrix * worldPosition;\n\n\t\t\t\t\t#endif\n\n\t\t\t\t\tworldPosition = modelMatrix * worldPosition;\n\n\t\t\t\t\tprojTexCoord = textureMatrix * worldPosition;\n\n\t\t\t\t}",fragmentShader:"#include \n\t\t\t\tvarying vec4 vPosition;\n\t\t\t\tvarying vec4 projTexCoord;\n\t\t\t\tuniform sampler2D depthTexture;\n\t\t\t\tuniform vec2 cameraNearFar;\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tfloat depth = unpackRGBAToDepth(texture2DProj( depthTexture, projTexCoord ));\n\t\t\t\t\tfloat viewZ = - DEPTH_TO_VIEW_Z( depth, cameraNearFar.x, cameraNearFar.y );\n\t\t\t\t\tfloat depthTest = (-vPosition.z > viewZ) ? 1.0 : 0.0;\n\t\t\t\t\tgl_FragColor = vec4(0.0, depthTest, 1.0, 1.0);\n\n\t\t\t\t}"})}_getEdgeDetectionMaterial(){return new t.ShaderMaterial({uniforms:{maskTexture:{value:null},texSize:{value:new t.Vector2(.5,.5)},visibleEdgeColor:{value:new t.Vector3(1,1,1)},hiddenEdgeColor:{value:new t.Vector3(1,1,1)}},vertexShader:"varying vec2 vUv;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvUv = uv;\n\t\t\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\t\t\t\t}",fragmentShader:"varying vec2 vUv;\n\n\t\t\t\tuniform sampler2D maskTexture;\n\t\t\t\tuniform vec2 texSize;\n\t\t\t\tuniform vec3 visibleEdgeColor;\n\t\t\t\tuniform vec3 hiddenEdgeColor;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec2 invSize = 1.0 / texSize;\n\t\t\t\t\tvec4 uvOffset = vec4(1.0, 0.0, 0.0, 1.0) * vec4(invSize, invSize);\n\t\t\t\t\tvec4 c1 = texture2D( maskTexture, vUv + uvOffset.xy);\n\t\t\t\t\tvec4 c2 = texture2D( maskTexture, vUv - uvOffset.xy);\n\t\t\t\t\tvec4 c3 = texture2D( maskTexture, vUv + uvOffset.yw);\n\t\t\t\t\tvec4 c4 = texture2D( maskTexture, vUv - uvOffset.yw);\n\t\t\t\t\tfloat diff1 = (c1.r - c2.r)*0.5;\n\t\t\t\t\tfloat diff2 = (c3.r - c4.r)*0.5;\n\t\t\t\t\tfloat d = length( vec2(diff1, diff2) );\n\t\t\t\t\tfloat a1 = min(c1.g, c2.g);\n\t\t\t\t\tfloat a2 = min(c3.g, c4.g);\n\t\t\t\t\tfloat visibilityFactor = min(a1, a2);\n\t\t\t\t\tvec3 edgeColor = 1.0 - visibilityFactor > 0.001 ? visibleEdgeColor : hiddenEdgeColor;\n\t\t\t\t\tgl_FragColor = vec4(edgeColor, 1.0) * vec4(d);\n\t\t\t\t}"})}_getSeparableBlurMaterial(e){return new t.ShaderMaterial({defines:{MAX_RADIUS:e},uniforms:{colorTexture:{value:null},texSize:{value:new t.Vector2(.5,.5)},direction:{value:new t.Vector2(.5,.5)},kernelRadius:{value:1}},vertexShader:"varying vec2 vUv;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvUv = uv;\n\t\t\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\t\t\t\t}",fragmentShader:"#include \n\t\t\t\tvarying vec2 vUv;\n\t\t\t\tuniform sampler2D colorTexture;\n\t\t\t\tuniform vec2 texSize;\n\t\t\t\tuniform vec2 direction;\n\t\t\t\tuniform float kernelRadius;\n\n\t\t\t\tfloat gaussianPdf(in float x, in float sigma) {\n\t\t\t\t\treturn 0.39894 * exp( -0.5 * x * x/( sigma * sigma))/sigma;\n\t\t\t\t}\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec2 invSize = 1.0 / texSize;\n\t\t\t\t\tfloat sigma = kernelRadius/2.0;\n\t\t\t\t\tfloat weightSum = gaussianPdf(0.0, sigma);\n\t\t\t\t\tvec4 diffuseSum = texture2D( colorTexture, vUv) * weightSum;\n\t\t\t\t\tvec2 delta = direction * invSize * kernelRadius/float(MAX_RADIUS);\n\t\t\t\t\tvec2 uvOffset = delta;\n\t\t\t\t\tfor( int i = 1; i <= MAX_RADIUS; i ++ ) {\n\t\t\t\t\t\tfloat x = kernelRadius * float(i) / float(MAX_RADIUS);\n\t\t\t\t\t\tfloat w = gaussianPdf(x, sigma);\n\t\t\t\t\t\tvec4 sample1 = texture2D( colorTexture, vUv + uvOffset);\n\t\t\t\t\t\tvec4 sample2 = texture2D( colorTexture, vUv - uvOffset);\n\t\t\t\t\t\tdiffuseSum += ((sample1 + sample2) * w);\n\t\t\t\t\t\tweightSum += (2.0 * w);\n\t\t\t\t\t\tuvOffset += delta;\n\t\t\t\t\t}\n\t\t\t\t\tgl_FragColor = diffuseSum/weightSum;\n\t\t\t\t}"})}_getOverlayMaterial(){return new t.ShaderMaterial({uniforms:{maskTexture:{value:null},edgeTexture1:{value:null},edgeTexture2:{value:null},patternTexture:{value:null},edgeStrength:{value:1},edgeGlow:{value:1},usePatternTexture:{value:0}},vertexShader:"varying vec2 vUv;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvUv = uv;\n\t\t\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\t\t\t\t}",fragmentShader:"varying vec2 vUv;\n\n\t\t\t\tuniform sampler2D maskTexture;\n\t\t\t\tuniform sampler2D edgeTexture1;\n\t\t\t\tuniform sampler2D edgeTexture2;\n\t\t\t\tuniform sampler2D patternTexture;\n\t\t\t\tuniform float edgeStrength;\n\t\t\t\tuniform float edgeGlow;\n\t\t\t\tuniform bool usePatternTexture;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec4 edgeValue1 = texture2D(edgeTexture1, vUv);\n\t\t\t\t\tvec4 edgeValue2 = texture2D(edgeTexture2, vUv);\n\t\t\t\t\tvec4 maskColor = texture2D(maskTexture, vUv);\n\t\t\t\t\tvec4 patternColor = texture2D(patternTexture, 6.0 * vUv);\n\t\t\t\t\tfloat visibilityFactor = 1.0 - maskColor.g > 0.0 ? 1.0 : 0.5;\n\t\t\t\t\tvec4 edgeValue = edgeValue1 + edgeValue2 * edgeGlow;\n\t\t\t\t\tvec4 finalColor = edgeStrength * maskColor.r * edgeValue;\n\t\t\t\t\tif(usePatternTexture)\n\t\t\t\t\t\tfinalColor += + visibilityFactor * (1.0 - maskColor.r) * (1.0 - patternColor.r);\n\t\t\t\t\tgl_FragColor = finalColor;\n\t\t\t\t}",blending:t.AdditiveBlending,depthTest:!1,depthWrite:!1,transparent:!0})}}gn.BlurDirectionX=new t.Vector2(1,0),gn.BlurDirectionY=new t.Vector2(0,1);const vn={name:"SMAAEdgesShader",defines:{SMAA_THRESHOLD:"0.1"},uniforms:{tDiffuse:{value:null},resolution:{value:new t.Vector2(1/1024,1/512)}},vertexShader:"\n\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 3 ];\n\n\t\tvoid SMAAEdgeDetectionVS( vec2 texcoord ) {\n\t\t\tvOffset[ 0 ] = texcoord.xyxy + resolution.xyxy * vec4( -1.0, 0.0, 0.0, 1.0 ); // WebGL port note: Changed sign in W component\n\t\t\tvOffset[ 1 ] = texcoord.xyxy + resolution.xyxy * vec4( 1.0, 0.0, 0.0, -1.0 ); // WebGL port note: Changed sign in W component\n\t\t\tvOffset[ 2 ] = texcoord.xyxy + resolution.xyxy * vec4( -2.0, 0.0, 0.0, 2.0 ); // WebGL port note: Changed sign in W component\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tSMAAEdgeDetectionVS( vUv );\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 3 ];\n\n\t\tvec4 SMAAColorEdgeDetectionPS( vec2 texcoord, vec4 offset[3], sampler2D colorTex ) {\n\t\t\tvec2 threshold = vec2( SMAA_THRESHOLD, SMAA_THRESHOLD );\n\n\t\t\t// Calculate color deltas:\n\t\t\tvec4 delta;\n\t\t\tvec3 C = texture2D( colorTex, texcoord ).rgb;\n\n\t\t\tvec3 Cleft = texture2D( colorTex, offset[0].xy ).rgb;\n\t\t\tvec3 t = abs( C - Cleft );\n\t\t\tdelta.x = max( max( t.r, t.g ), t.b );\n\n\t\t\tvec3 Ctop = texture2D( colorTex, offset[0].zw ).rgb;\n\t\t\tt = abs( C - Ctop );\n\t\t\tdelta.y = max( max( t.r, t.g ), t.b );\n\n\t\t\t// We do the usual threshold:\n\t\t\tvec2 edges = step( threshold, delta.xy );\n\n\t\t\t// Then discard if there is no edge:\n\t\t\tif ( dot( edges, vec2( 1.0, 1.0 ) ) == 0.0 )\n\t\t\t\tdiscard;\n\n\t\t\t// Calculate right and bottom deltas:\n\t\t\tvec3 Cright = texture2D( colorTex, offset[1].xy ).rgb;\n\t\t\tt = abs( C - Cright );\n\t\t\tdelta.z = max( max( t.r, t.g ), t.b );\n\n\t\t\tvec3 Cbottom = texture2D( colorTex, offset[1].zw ).rgb;\n\t\t\tt = abs( C - Cbottom );\n\t\t\tdelta.w = max( max( t.r, t.g ), t.b );\n\n\t\t\t// Calculate the maximum delta in the direct neighborhood:\n\t\t\tfloat maxDelta = max( max( max( delta.x, delta.y ), delta.z ), delta.w );\n\n\t\t\t// Calculate left-left and top-top deltas:\n\t\t\tvec3 Cleftleft = texture2D( colorTex, offset[2].xy ).rgb;\n\t\t\tt = abs( C - Cleftleft );\n\t\t\tdelta.z = max( max( t.r, t.g ), t.b );\n\n\t\t\tvec3 Ctoptop = texture2D( colorTex, offset[2].zw ).rgb;\n\t\t\tt = abs( C - Ctoptop );\n\t\t\tdelta.w = max( max( t.r, t.g ), t.b );\n\n\t\t\t// Calculate the final maximum delta:\n\t\t\tmaxDelta = max( max( maxDelta, delta.z ), delta.w );\n\n\t\t\t// Local contrast adaptation in action:\n\t\t\tedges.xy *= step( 0.5 * maxDelta, delta.xy );\n\n\t\t\treturn vec4( edges, 0.0, 0.0 );\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = SMAAColorEdgeDetectionPS( vUv, vOffset, tDiffuse );\n\n\t\t}"},xn={name:"SMAAWeightsShader",defines:{SMAA_MAX_SEARCH_STEPS:"8",SMAA_AREATEX_MAX_DISTANCE:"16",SMAA_AREATEX_PIXEL_SIZE:"( 1.0 / vec2( 160.0, 560.0 ) )",SMAA_AREATEX_SUBTEX_SIZE:"( 1.0 / 7.0 )"},uniforms:{tDiffuse:{value:null},tArea:{value:null},tSearch:{value:null},resolution:{value:new t.Vector2(1/1024,1/512)}},vertexShader:"\n\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 3 ];\n\t\tvarying vec2 vPixcoord;\n\n\t\tvoid SMAABlendingWeightCalculationVS( vec2 texcoord ) {\n\t\t\tvPixcoord = texcoord / resolution;\n\n\t\t\t// We will use these offsets for the searches later on (see @PSEUDO_GATHER4):\n\t\t\tvOffset[ 0 ] = texcoord.xyxy + resolution.xyxy * vec4( -0.25, 0.125, 1.25, 0.125 ); // WebGL port note: Changed sign in Y and W components\n\t\t\tvOffset[ 1 ] = texcoord.xyxy + resolution.xyxy * vec4( -0.125, 0.25, -0.125, -1.25 ); // WebGL port note: Changed sign in Y and W components\n\n\t\t\t// And these for the searches, they indicate the ends of the loops:\n\t\t\tvOffset[ 2 ] = vec4( vOffset[ 0 ].xz, vOffset[ 1 ].yw ) + vec4( -2.0, 2.0, -2.0, 2.0 ) * resolution.xxyy * float( SMAA_MAX_SEARCH_STEPS );\n\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tSMAABlendingWeightCalculationVS( vUv );\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\t#define SMAASampleLevelZeroOffset( tex, coord, offset ) texture2D( tex, coord + float( offset ) * resolution, 0.0 )\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform sampler2D tArea;\n\t\tuniform sampler2D tSearch;\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[3];\n\t\tvarying vec2 vPixcoord;\n\n\t\t#if __VERSION__ == 100\n\t\tvec2 round( vec2 x ) {\n\t\t\treturn sign( x ) * floor( abs( x ) + 0.5 );\n\t\t}\n\t\t#endif\n\n\t\tfloat SMAASearchLength( sampler2D searchTex, vec2 e, float bias, float scale ) {\n\t\t\t// Not required if searchTex accesses are set to point:\n\t\t\t// float2 SEARCH_TEX_PIXEL_SIZE = 1.0 / float2(66.0, 33.0);\n\t\t\t// e = float2(bias, 0.0) + 0.5 * SEARCH_TEX_PIXEL_SIZE +\n\t\t\t// e * float2(scale, 1.0) * float2(64.0, 32.0) * SEARCH_TEX_PIXEL_SIZE;\n\t\t\te.r = bias + e.r * scale;\n\t\t\treturn 255.0 * texture2D( searchTex, e, 0.0 ).r;\n\t\t}\n\n\t\tfloat SMAASearchXLeft( sampler2D edgesTex, sampler2D searchTex, vec2 texcoord, float end ) {\n\t\t\t/**\n\t\t\t\t* @PSEUDO_GATHER4\n\t\t\t\t* This texcoord has been offset by (-0.25, -0.125) in the vertex shader to\n\t\t\t\t* sample between edge, thus fetching four edges in a row.\n\t\t\t\t* Sampling with different offsets in each direction allows to disambiguate\n\t\t\t\t* which edges are active from the four fetched ones.\n\t\t\t\t*/\n\t\t\tvec2 e = vec2( 0.0, 1.0 );\n\n\t\t\tfor ( int i = 0; i < SMAA_MAX_SEARCH_STEPS; i ++ ) { // WebGL port note: Changed while to for\n\t\t\t\te = texture2D( edgesTex, texcoord, 0.0 ).rg;\n\t\t\t\ttexcoord -= vec2( 2.0, 0.0 ) * resolution;\n\t\t\t\tif ( ! ( texcoord.x > end && e.g > 0.8281 && e.r == 0.0 ) ) break;\n\t\t\t}\n\n\t\t\t// We correct the previous (-0.25, -0.125) offset we applied:\n\t\t\ttexcoord.x += 0.25 * resolution.x;\n\n\t\t\t// The searches are bias by 1, so adjust the coords accordingly:\n\t\t\ttexcoord.x += resolution.x;\n\n\t\t\t// Disambiguate the length added by the last step:\n\t\t\ttexcoord.x += 2.0 * resolution.x; // Undo last step\n\t\t\ttexcoord.x -= resolution.x * SMAASearchLength(searchTex, e, 0.0, 0.5);\n\n\t\t\treturn texcoord.x;\n\t\t}\n\n\t\tfloat SMAASearchXRight( sampler2D edgesTex, sampler2D searchTex, vec2 texcoord, float end ) {\n\t\t\tvec2 e = vec2( 0.0, 1.0 );\n\n\t\t\tfor ( int i = 0; i < SMAA_MAX_SEARCH_STEPS; i ++ ) { // WebGL port note: Changed while to for\n\t\t\t\te = texture2D( edgesTex, texcoord, 0.0 ).rg;\n\t\t\t\ttexcoord += vec2( 2.0, 0.0 ) * resolution;\n\t\t\t\tif ( ! ( texcoord.x < end && e.g > 0.8281 && e.r == 0.0 ) ) break;\n\t\t\t}\n\n\t\t\ttexcoord.x -= 0.25 * resolution.x;\n\t\t\ttexcoord.x -= resolution.x;\n\t\t\ttexcoord.x -= 2.0 * resolution.x;\n\t\t\ttexcoord.x += resolution.x * SMAASearchLength( searchTex, e, 0.5, 0.5 );\n\n\t\t\treturn texcoord.x;\n\t\t}\n\n\t\tfloat SMAASearchYUp( sampler2D edgesTex, sampler2D searchTex, vec2 texcoord, float end ) {\n\t\t\tvec2 e = vec2( 1.0, 0.0 );\n\n\t\t\tfor ( int i = 0; i < SMAA_MAX_SEARCH_STEPS; i ++ ) { // WebGL port note: Changed while to for\n\t\t\t\te = texture2D( edgesTex, texcoord, 0.0 ).rg;\n\t\t\t\ttexcoord += vec2( 0.0, 2.0 ) * resolution; // WebGL port note: Changed sign\n\t\t\t\tif ( ! ( texcoord.y > end && e.r > 0.8281 && e.g == 0.0 ) ) break;\n\t\t\t}\n\n\t\t\ttexcoord.y -= 0.25 * resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y -= resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y -= 2.0 * resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y += resolution.y * SMAASearchLength( searchTex, e.gr, 0.0, 0.5 ); // WebGL port note: Changed sign\n\n\t\t\treturn texcoord.y;\n\t\t}\n\n\t\tfloat SMAASearchYDown( sampler2D edgesTex, sampler2D searchTex, vec2 texcoord, float end ) {\n\t\t\tvec2 e = vec2( 1.0, 0.0 );\n\n\t\t\tfor ( int i = 0; i < SMAA_MAX_SEARCH_STEPS; i ++ ) { // WebGL port note: Changed while to for\n\t\t\t\te = texture2D( edgesTex, texcoord, 0.0 ).rg;\n\t\t\t\ttexcoord -= vec2( 0.0, 2.0 ) * resolution; // WebGL port note: Changed sign\n\t\t\t\tif ( ! ( texcoord.y < end && e.r > 0.8281 && e.g == 0.0 ) ) break;\n\t\t\t}\n\n\t\t\ttexcoord.y += 0.25 * resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y += resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y += 2.0 * resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y -= resolution.y * SMAASearchLength( searchTex, e.gr, 0.5, 0.5 ); // WebGL port note: Changed sign\n\n\t\t\treturn texcoord.y;\n\t\t}\n\n\t\tvec2 SMAAArea( sampler2D areaTex, vec2 dist, float e1, float e2, float offset ) {\n\t\t\t// Rounding prevents precision errors of bilinear filtering:\n\t\t\tvec2 texcoord = float( SMAA_AREATEX_MAX_DISTANCE ) * round( 4.0 * vec2( e1, e2 ) ) + dist;\n\n\t\t\t// We do a scale and bias for mapping to texel space:\n\t\t\ttexcoord = SMAA_AREATEX_PIXEL_SIZE * texcoord + ( 0.5 * SMAA_AREATEX_PIXEL_SIZE );\n\n\t\t\t// Move to proper place, according to the subpixel offset:\n\t\t\ttexcoord.y += SMAA_AREATEX_SUBTEX_SIZE * offset;\n\n\t\t\treturn texture2D( areaTex, texcoord, 0.0 ).rg;\n\t\t}\n\n\t\tvec4 SMAABlendingWeightCalculationPS( vec2 texcoord, vec2 pixcoord, vec4 offset[ 3 ], sampler2D edgesTex, sampler2D areaTex, sampler2D searchTex, ivec4 subsampleIndices ) {\n\t\t\tvec4 weights = vec4( 0.0, 0.0, 0.0, 0.0 );\n\n\t\t\tvec2 e = texture2D( edgesTex, texcoord ).rg;\n\n\t\t\tif ( e.g > 0.0 ) { // Edge at north\n\t\t\t\tvec2 d;\n\n\t\t\t\t// Find the distance to the left:\n\t\t\t\tvec2 coords;\n\t\t\t\tcoords.x = SMAASearchXLeft( edgesTex, searchTex, offset[ 0 ].xy, offset[ 2 ].x );\n\t\t\t\tcoords.y = offset[ 1 ].y; // offset[1].y = texcoord.y - 0.25 * resolution.y (@CROSSING_OFFSET)\n\t\t\t\td.x = coords.x;\n\n\t\t\t\t// Now fetch the left crossing edges, two at a time using bilinear\n\t\t\t\t// filtering. Sampling at -0.25 (see @CROSSING_OFFSET) enables to\n\t\t\t\t// discern what value each edge has:\n\t\t\t\tfloat e1 = texture2D( edgesTex, coords, 0.0 ).r;\n\n\t\t\t\t// Find the distance to the right:\n\t\t\t\tcoords.x = SMAASearchXRight( edgesTex, searchTex, offset[ 0 ].zw, offset[ 2 ].y );\n\t\t\t\td.y = coords.x;\n\n\t\t\t\t// We want the distances to be in pixel units (doing this here allow to\n\t\t\t\t// better interleave arithmetic and memory accesses):\n\t\t\t\td = d / resolution.x - pixcoord.x;\n\n\t\t\t\t// SMAAArea below needs a sqrt, as the areas texture is compressed\n\t\t\t\t// quadratically:\n\t\t\t\tvec2 sqrt_d = sqrt( abs( d ) );\n\n\t\t\t\t// Fetch the right crossing edges:\n\t\t\t\tcoords.y -= 1.0 * resolution.y; // WebGL port note: Added\n\t\t\t\tfloat e2 = SMAASampleLevelZeroOffset( edgesTex, coords, ivec2( 1, 0 ) ).r;\n\n\t\t\t\t// Ok, we know how this pattern looks like, now it is time for getting\n\t\t\t\t// the actual area:\n\t\t\t\tweights.rg = SMAAArea( areaTex, sqrt_d, e1, e2, float( subsampleIndices.y ) );\n\t\t\t}\n\n\t\t\tif ( e.r > 0.0 ) { // Edge at west\n\t\t\t\tvec2 d;\n\n\t\t\t\t// Find the distance to the top:\n\t\t\t\tvec2 coords;\n\n\t\t\t\tcoords.y = SMAASearchYUp( edgesTex, searchTex, offset[ 1 ].xy, offset[ 2 ].z );\n\t\t\t\tcoords.x = offset[ 0 ].x; // offset[1].x = texcoord.x - 0.25 * resolution.x;\n\t\t\t\td.x = coords.y;\n\n\t\t\t\t// Fetch the top crossing edges:\n\t\t\t\tfloat e1 = texture2D( edgesTex, coords, 0.0 ).g;\n\n\t\t\t\t// Find the distance to the bottom:\n\t\t\t\tcoords.y = SMAASearchYDown( edgesTex, searchTex, offset[ 1 ].zw, offset[ 2 ].w );\n\t\t\t\td.y = coords.y;\n\n\t\t\t\t// We want the distances to be in pixel units:\n\t\t\t\td = d / resolution.y - pixcoord.y;\n\n\t\t\t\t// SMAAArea below needs a sqrt, as the areas texture is compressed\n\t\t\t\t// quadratically:\n\t\t\t\tvec2 sqrt_d = sqrt( abs( d ) );\n\n\t\t\t\t// Fetch the bottom crossing edges:\n\t\t\t\tcoords.y -= 1.0 * resolution.y; // WebGL port note: Added\n\t\t\t\tfloat e2 = SMAASampleLevelZeroOffset( edgesTex, coords, ivec2( 0, 1 ) ).g;\n\n\t\t\t\t// Get the area for this direction:\n\t\t\t\tweights.ba = SMAAArea( areaTex, sqrt_d, e1, e2, float( subsampleIndices.x ) );\n\t\t\t}\n\n\t\t\treturn weights;\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = SMAABlendingWeightCalculationPS( vUv, vPixcoord, vOffset, tDiffuse, tArea, tSearch, ivec4( 0.0 ) );\n\n\t\t}"},Tn={name:"SMAABlendShader",uniforms:{tDiffuse:{value:null},tColor:{value:null},resolution:{value:new t.Vector2(1/1024,1/512)}},vertexShader:"\n\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 2 ];\n\n\t\tvoid SMAANeighborhoodBlendingVS( vec2 texcoord ) {\n\t\t\tvOffset[ 0 ] = texcoord.xyxy + resolution.xyxy * vec4( -1.0, 0.0, 0.0, 1.0 ); // WebGL port note: Changed sign in W component\n\t\t\tvOffset[ 1 ] = texcoord.xyxy + resolution.xyxy * vec4( 1.0, 0.0, 0.0, -1.0 ); // WebGL port note: Changed sign in W component\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tSMAANeighborhoodBlendingVS( vUv );\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform sampler2D tColor;\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 2 ];\n\n\t\tvec4 SMAANeighborhoodBlendingPS( vec2 texcoord, vec4 offset[ 2 ], sampler2D colorTex, sampler2D blendTex ) {\n\t\t\t// Fetch the blending weights for current pixel:\n\t\t\tvec4 a;\n\t\t\ta.xz = texture2D( blendTex, texcoord ).xz;\n\t\t\ta.y = texture2D( blendTex, offset[ 1 ].zw ).g;\n\t\t\ta.w = texture2D( blendTex, offset[ 1 ].xy ).a;\n\n\t\t\t// Is there any blending weight with a value greater than 0.0?\n\t\t\tif ( dot(a, vec4( 1.0, 1.0, 1.0, 1.0 )) < 1e-5 ) {\n\t\t\t\treturn texture2D( colorTex, texcoord, 0.0 );\n\t\t\t} else {\n\t\t\t\t// Up to 4 lines can be crossing a pixel (one through each edge). We\n\t\t\t\t// favor blending by choosing the line with the maximum weight for each\n\t\t\t\t// direction:\n\t\t\t\tvec2 offset;\n\t\t\t\toffset.x = a.a > a.b ? a.a : -a.b; // left vs. right\n\t\t\t\toffset.y = a.g > a.r ? -a.g : a.r; // top vs. bottom // WebGL port note: Changed signs\n\n\t\t\t\t// Then we go in the direction that has the maximum weight:\n\t\t\t\tif ( abs( offset.x ) > abs( offset.y )) { // horizontal vs. vertical\n\t\t\t\t\toffset.y = 0.0;\n\t\t\t\t} else {\n\t\t\t\t\toffset.x = 0.0;\n\t\t\t\t}\n\n\t\t\t\t// Fetch the opposite color and lerp by hand:\n\t\t\t\tvec4 C = texture2D( colorTex, texcoord, 0.0 );\n\t\t\t\ttexcoord += sign( offset ) * resolution;\n\t\t\t\tvec4 Cop = texture2D( colorTex, texcoord, 0.0 );\n\t\t\t\tfloat s = abs( offset.x ) > abs( offset.y ) ? abs( offset.x ) : abs( offset.y );\n\n\t\t\t\t// WebGL port note: Added gamma correction\n\t\t\t\tC.xyz = pow(C.xyz, vec3(2.2));\n\t\t\t\tCop.xyz = pow(Cop.xyz, vec3(2.2));\n\t\t\t\tvec4 mixed = mix(C, Cop, s);\n\t\t\t\tmixed.xyz = pow(mixed.xyz, vec3(1.0 / 2.2));\n\n\t\t\t\treturn mixed;\n\t\t\t}\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = SMAANeighborhoodBlendingPS( vUv, vOffset, tColor, tDiffuse );\n\n\t\t}"};const wn={name:"OutputShader",uniforms:{tDiffuse:{value:null},toneMappingExposure:{value:1}},vertexShader:"\n\t\tprecision highp float;\n\n\t\tuniform mat4 modelViewMatrix;\n\t\tuniform mat4 projectionMatrix;\n\n\t\tattribute vec3 position;\n\t\tattribute vec2 uv;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tprecision highp float;\n\n\t\tuniform sampler2D tDiffuse;\n\n\t\t#include \n\t\t#include \n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = texture2D( tDiffuse, vUv );\n\n\t\t\t// tone mapping\n\n\t\t\t#ifdef LINEAR_TONE_MAPPING\n\n\t\t\t\tgl_FragColor.rgb = LinearToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( REINHARD_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = ReinhardToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( CINEON_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = CineonToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( ACES_FILMIC_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = ACESFilmicToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( AGX_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = AgXToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( NEUTRAL_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = NeutralToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( CUSTOM_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = CustomToneMapping( gl_FragColor.rgb );\n\n\t\t\t#endif\n\n\t\t\t// color space\n\n\t\t\t#ifdef SRGB_TRANSFER\n\n\t\t\t\tgl_FragColor = sRGBTransferOETF( gl_FragColor );\n\n\t\t\t#endif\n\n\t\t}"};const yn={name:"LuminosityHighPassShader",uniforms:{tDiffuse:{value:null},luminosityThreshold:{value:1},smoothWidth:{value:1},defaultColor:{value:new t.Color(0)},defaultOpacity:{value:0}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform vec3 defaultColor;\n\t\tuniform float defaultOpacity;\n\t\tuniform float luminosityThreshold;\n\t\tuniform float smoothWidth;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvec4 texel = texture2D( tDiffuse, vUv );\n\n\t\t\tfloat v = luminance( texel.xyz );\n\n\t\t\tvec4 outputColor = vec4( defaultColor.rgb, defaultOpacity );\n\n\t\t\tfloat alpha = smoothstep( luminosityThreshold, luminosityThreshold + smoothWidth, v );\n\n\t\t\tgl_FragColor = mix( outputColor, texel, alpha );\n\n\t\t}"};class Sn extends q{constructor(e,n=1,r,i){super(),this.strength=n,this.radius=r,this.threshold=i,this.resolution=void 0!==e?new t.Vector2(e.x,e.y):new t.Vector2(256,256),this.clearColor=new t.Color(0,0,0),this.needsSwap=!1,this.renderTargetsHorizontal=[],this.renderTargetsVertical=[],this.nMips=5;let a=Math.round(this.resolution.x/2),s=Math.round(this.resolution.y/2);this.renderTargetBright=new t.WebGLRenderTarget(a,s,{type:t.HalfFloatType}),this.renderTargetBright.texture.name="UnrealBloomPass.bright",this.renderTargetBright.texture.generateMipmaps=!1;for(let e=0;e\n\n\t\t\t\tvarying vec2 vUv;\n\n\t\t\t\tuniform sampler2D colorTexture;\n\t\t\t\tuniform vec2 invSize;\n\t\t\t\tuniform vec2 direction;\n\t\t\t\tuniform float gaussianCoefficients[KERNEL_RADIUS];\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tfloat weightSum = gaussianCoefficients[0];\n\t\t\t\t\tvec3 diffuseSum = texture2D( colorTexture, vUv ).rgb * weightSum;\n\n\t\t\t\t\tfor ( int i = 1; i < KERNEL_RADIUS; i ++ ) {\n\n\t\t\t\t\t\tfloat x = float( i );\n\t\t\t\t\t\tfloat w = gaussianCoefficients[i];\n\t\t\t\t\t\tvec2 uvOffset = direction * invSize * x;\n\t\t\t\t\t\tvec3 sample1 = texture2D( colorTexture, vUv + uvOffset ).rgb;\n\t\t\t\t\t\tvec3 sample2 = texture2D( colorTexture, vUv - uvOffset ).rgb;\n\t\t\t\t\t\tdiffuseSum += ( sample1 + sample2 ) * w;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tgl_FragColor = vec4( diffuseSum, 1.0 );\n\n\t\t\t\t}"})}_getCompositeMaterial(e){return new t.ShaderMaterial({defines:{NUM_MIPS:e},uniforms:{blurTexture1:{value:null},blurTexture2:{value:null},blurTexture3:{value:null},blurTexture4:{value:null},blurTexture5:{value:null},bloomStrength:{value:1},bloomFactors:{value:null},bloomTintColors:{value:null},bloomRadius:{value:0}},vertexShader:"\n\n\t\t\t\tvarying vec2 vUv;\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tvUv = uv;\n\t\t\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t\t\t}",fragmentShader:"\n\n\t\t\t\tvarying vec2 vUv;\n\n\t\t\t\tuniform sampler2D blurTexture1;\n\t\t\t\tuniform sampler2D blurTexture2;\n\t\t\t\tuniform sampler2D blurTexture3;\n\t\t\t\tuniform sampler2D blurTexture4;\n\t\t\t\tuniform sampler2D blurTexture5;\n\t\t\t\tuniform float bloomStrength;\n\t\t\t\tuniform float bloomRadius;\n\t\t\t\tuniform float bloomFactors[NUM_MIPS];\n\t\t\t\tuniform vec3 bloomTintColors[NUM_MIPS];\n\n\t\t\t\tfloat lerpBloomFactor( const in float factor ) {\n\n\t\t\t\t\tfloat mirrorFactor = 1.2 - factor;\n\t\t\t\t\treturn mix( factor, mirrorFactor, bloomRadius );\n\n\t\t\t\t}\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\t// 3.0 for backwards compatibility with previous alpha-based intensity\n\t\t\t\t\tvec3 bloom = 3.0 * bloomStrength * (\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 0 ] ) * bloomTintColors[ 0 ] * texture2D( blurTexture1, vUv ).rgb +\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 1 ] ) * bloomTintColors[ 1 ] * texture2D( blurTexture2, vUv ).rgb +\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 2 ] ) * bloomTintColors[ 2 ] * texture2D( blurTexture3, vUv ).rgb +\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 3 ] ) * bloomTintColors[ 3 ] * texture2D( blurTexture4, vUv ).rgb +\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 4 ] ) * bloomTintColors[ 4 ] * texture2D( blurTexture5, vUv ).rgb\n\t\t\t\t\t);\n\n\t\t\t\t\tfloat bloomAlpha = max( bloom.r, max( bloom.g, bloom.b ) );\n\t\t\t\t\tgl_FragColor = vec4( bloom, bloomAlpha );\n\n\t\t\t\t}"})}}Sn.BlurDirectionX=new t.Vector2(1,0),Sn.BlurDirectionY=new t.Vector2(0,1);const Mn={name:"BrightnessContrastShader",uniforms:{tDiffuse:{value:null},brightness:{value:0},contrast:{value:0}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform float brightness;\n\t\tuniform float contrast;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = texture2D( tDiffuse, vUv );\n\n\t\t\tgl_FragColor.rgb += brightness;\n\n\t\t\tif (contrast > 0.0) {\n\t\t\t\tgl_FragColor.rgb = (gl_FragColor.rgb - 0.5) / (1.0 - contrast) + 0.5;\n\t\t\t} else {\n\t\t\t\tgl_FragColor.rgb = (gl_FragColor.rgb - 0.5) * (1.0 + contrast) + 0.5;\n\t\t\t}\n\n\t\t}"},bn={name:"HueSaturationShader",uniforms:{tDiffuse:{value:null},hue:{value:0},saturation:{value:0}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform float hue;\n\t\tuniform float saturation;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = texture2D( tDiffuse, vUv );\n\n\t\t\t// hue\n\t\t\tfloat angle = hue * 3.14159265;\n\t\t\tfloat s = sin(angle), c = cos(angle);\n\t\t\tvec3 weights = (vec3(2.0 * c, -sqrt(3.0) * s - c, sqrt(3.0) * s - c) + 1.0) / 3.0;\n\t\t\tfloat len = length(gl_FragColor.rgb);\n\t\t\tgl_FragColor.rgb = vec3(\n\t\t\t\tdot(gl_FragColor.rgb, weights.xyz),\n\t\t\t\tdot(gl_FragColor.rgb, weights.zxy),\n\t\t\t\tdot(gl_FragColor.rgb, weights.yzx)\n\t\t\t);\n\n\t\t\t// saturation\n\t\t\tfloat average = (gl_FragColor.r + gl_FragColor.g + gl_FragColor.b) / 3.0;\n\t\t\tif (saturation > 0.0) {\n\t\t\t\tgl_FragColor.rgb += (average - gl_FragColor.rgb) * (1.0 - 1.0 / (1.001 - saturation));\n\t\t\t} else {\n\t\t\t\tgl_FragColor.rgb += (average - gl_FragColor.rgb) * (-saturation);\n\t\t\t}\n\n\t\t}"},Dn={name:"ExposureShader",uniforms:{tDiffuse:{value:null},exposure:{value:1}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform float exposure;\n\n\t\tuniform sampler2D tDiffuse;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = texture2D( tDiffuse, vUv );\n\t\t\tgl_FragColor.rgb *= exposure;\n\n\t\t}"};e.BrightnessContrastShader=Mn,e.DRACOLoader=ft,e.EffectComposer=class{constructor(e,n){if(this.renderer=e,this._pixelRatio=e.getPixelRatio(),void 0===n){const r=e.getSize(new t.Vector2);this._width=r.width,this._height=r.height,(n=new t.WebGLRenderTarget(this._width*this._pixelRatio,this._height*this._pixelRatio,{type:t.HalfFloatType})).texture.name="EffectComposer.rt1"}else this._width=n.width,this._height=n.height;this.renderTarget1=n,this.renderTarget2=n.clone(),this.renderTarget2.texture.name="EffectComposer.rt2",this.writeBuffer=this.renderTarget1,this.readBuffer=this.renderTarget2,this.renderToScreen=!0,this.passes=[],this.copyPass=new fn(te),this.copyPass.material.blending=t.NoBlending,this.timer=new t.Timer}swapBuffers(){const e=this.readBuffer;this.readBuffer=this.writeBuffer,this.writeBuffer=e}addPass(e){this.passes.push(e),e.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}insertPass(e,t){this.passes.splice(t,0,e),e.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}removePass(e){const t=this.passes.indexOf(e);-1!==t&&this.passes.splice(t,1)}isLastEnabledPass(e){for(let t=e+1;te+(0===n?1:2)*t,0);t.uniforms.gaussianCoefficients.value=n.map(e=>e/r),this.separableBlurMaterials[e]=t}this.materialHighPassFilter.fragmentShader="\n uniform sampler2D tDiffuse;\n uniform vec3 defaultColor;\n uniform float defaultOpacity;\n uniform float luminosityThreshold;\n uniform float smoothWidth;\n\n varying vec2 vUv;\n\n vec4 getBrightColor(const in vec2 uv) {\n vec4 texel = texture2D(tDiffuse, uv);\n float alpha = smoothstep(\n luminosityThreshold,\n luminosityThreshold + smoothWidth,\n luminance(texel.xyz)\n );\n return mix(vec4(defaultColor.rgb, defaultOpacity), texel, alpha);\n }\n\n void main() {\n vec2 offset = 1.0 / vec2(textureSize(tDiffuse, 0));\n gl_FragColor = 0.25 * (\n getBrightColor(vUv + vec2(-offset.x, -offset.y)) +\n getBrightColor(vUv + vec2(offset.x, -offset.y)) +\n getBrightColor(vUv + vec2(-offset.x, offset.y)) +\n getBrightColor(vUv + vec2(offset.x, offset.y))\n );\n }",this.setSize(e.x,e.y)}setSize(e,t){super.setSize(e/2,t/2)}},e.N8AOPass=class extends i{constructor(e,t,n=512,i=512){super(),this.width=Math.floor(n),this.height=Math.floor(i),this.clear=!0,this._neuralDenoiseWarningKey=null,this.camera=t,this.scene=e,this.configuration=new Proxy({aoSamples:16,aoRadius:5,aoTones:0,denoiseSamples:8,denoiseRadius:12,distanceFalloff:1,intensity:5,denoiseIterations:2,renderMode:0,biasOffset:0,biasMultiplier:0,color:new r.Color(0,0,0),gammaCorrection:!0,depthBufferType:Y,screenSpaceRadius:!1,halfRes:!1,depthAwareUpsampling:!0,autoRenderBeauty:!0,colorMultiply:!0,transparencyAware:!1,stencil:!1,accumulate:!1,neuralDenoise:!1},{set:(e,t,n)=>{const i=e[t];if(e[t]=n,n.equals?n.equals(i)||this.firstFrame():i!==n&&this.firstFrame(),"aoSamples"===t&&i!==n&&this.configureAOPass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),"denoiseSamples"===t&&i!==n&&this.configureDenoisePass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),"neuralDenoise"===t&&i!==n){const t=n&&(16!==e.aoSamples||e.halfRes),r=n&&e.halfRes;n&&(e.aoSamples=16,[4,8,16].includes(e.denoiseSamples)||(e.denoiseSamples=8),e.denoiseRadius=12,e.denoiseIterations=2,e.halfRes=!1),t&&this.configureAOPass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),r&&(this.configureHalfResTargets(),this.configureEffectCompositer(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.setSize(this.width,this.height)),this.configureDenoisePass(this.configuration.depthBufferType,this.camera.isOrthographicCamera)}return"halfRes"===t&&i!==n&&(this.configureAOPass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.configureHalfResTargets(),this.configureEffectCompositer(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.setSize(this.width,this.height)),"depthAwareUpsampling"===t&&i!==n&&this.configureEffectCompositer(this.configuration.depthBufferType,this.camera.isOrthographicCamera),"transparencyAware"===t&&i!==n&&(this.autoDetectTransparency=!1,this.configureTransparencyTarget()),"stencil"===t&&i!==n&&(this.beautyRenderTarget.dispose(),this.beautyRenderTarget=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.NearestFilter,type:r.HalfFloatType,format:r.RGBAFormat,stencilBuffer:n}),this.beautyRenderTarget.depthTexture=new r.DepthTexture(this.width,this.height,n?r.UnsignedInt248Type:r.UnsignedIntType),this.beautyRenderTarget.depthTexture.format=n?r.DepthStencilFormat:r.DepthFormat),!0}}),this.samples=[],this.samplesDenoise=[],this.autoDetectTransparency=!0,this.frame=0,this.lastViewMatrix=new r.Matrix4,this.lastProjectionMatrix=new r.Matrix4,this.beautyRenderTarget=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.NearestFilter,type:r.HalfFloatType,format:r.RGBAFormat,stencilBuffer:!1}),this.beautyRenderTarget.depthTexture=new r.DepthTexture(this.width,this.height,r.UnsignedIntType),this.beautyRenderTarget.depthTexture.format=r.DepthFormat,this.configureEffectCompositer(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.configureSampleDependentPasses(),this.configureHalfResTargets(),this.detectTransparency(),this.configureTransparencyTarget(),this.writeTargetInternal=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.LinearFilter,depthBuffer:!1,format:r.RGBAFormat}),this.readTargetInternal=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.LinearFilter,depthBuffer:!1,format:r.RGBAFormat}),this.accumulationRenderTarget=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.LinearFilter,depthBuffer:!1,format:r.RGBAFormat,type:r.HalfFloatType,stencilBuffer:!1,depthBuffer:!1,alpha:!0}),this.bluenoise=new r.DataTexture(j,128,128),this.accumulationQuad=new u(new r.ShaderMaterial({uniforms:{frame:{value:0},tDiffuse:{value:null}},transparent:!0,opacity:1,vertexShader:"\n varying vec2 vUv;\n void main() {\n vUv = uv;\n gl_Position = vec4(position, 1);\n }",fragmentShader:"\n uniform sampler2D tDiffuse;\n uniform float frame;\n varying vec2 vUv;\n void main() {\n vec4 color = texture2D(tDiffuse, vUv);\n gl_FragColor = vec4(color.rgb, 1.0 / (frame + 1.0));\n }\n "})),this.bluenoise.colorSpace=r.NoColorSpace,this.bluenoise.wrapS=r.RepeatWrapping,this.bluenoise.wrapT=r.RepeatWrapping,this.bluenoise.minFilter=r.NearestFilter,this.bluenoise.magFilter=r.NearestFilter,this.bluenoise.needsUpdate=!0,this.lastTime=0,this.timeRollingAverage=.99,this._r=new r.Vector2,this._c=new r.Color}configureHalfResTargets(){if(this.firstFrame(),this.configuration.halfRes){this.depthDownsampleTarget=new X(Math.floor(this.width/2),Math.floor(this.height/2),2),r.REVISION<=161&&(this.depthDownsampleTarget.textures=this.depthDownsampleTarget.texture),this.depthDownsampleTarget.textures[0].format=r.RedFormat,this.depthDownsampleTarget.textures[0].type=r.FloatType,this.depthDownsampleTarget.textures[0].minFilter=r.NearestFilter,this.depthDownsampleTarget.textures[0].magFilter=r.NearestFilter,this.depthDownsampleTarget.textures[0].depthBuffer=!1,this.depthDownsampleTarget.textures[1].format=r.RGBAFormat,this.depthDownsampleTarget.textures[1].type=r.HalfFloatType,this.depthDownsampleTarget.textures[1].minFilter=r.NearestFilter,this.depthDownsampleTarget.textures[1].magFilter=r.NearestFilter,this.depthDownsampleTarget.textures[1].depthBuffer=!1;const e={...G};this.configuration.depthBufferType===Z&&(e.fragmentShader="#define REVERSEDEPTH\n"+e.fragmentShader),this.depthDownsampleQuad=new u(new r.ShaderMaterial(e))}else this.depthDownsampleTarget&&(this.depthDownsampleTarget.dispose(),this.depthDownsampleTarget=null),this.depthDownsampleQuad&&(this.depthDownsampleQuad.dispose(),this.depthDownsampleQuad=null)}detectTransparency(){if(this.autoDetectTransparency){let e=!1;this.scene.traverse(t=>{t.material&&t.material.transparent&&(e=!0)}),this.configuration.transparencyAware=e}}configureTransparencyTarget(){this.configuration.transparencyAware?(this.transparencyRenderTargetDWFalse=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.NearestFilter,type:r.HalfFloatType,format:r.RGBAFormat}),this.transparencyRenderTargetDWTrue=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.NearestFilter,type:r.HalfFloatType,format:r.RGBAFormat}),this.transparencyRenderTargetDWTrue.depthTexture=new r.DepthTexture(this.width,this.height,r.UnsignedIntType),this.depthCopyPass=new u(new r.ShaderMaterial({uniforms:{depthTexture:{value:this.depthTexture},reverseDepthBuffer:{value:this.configuration.depthBufferType===Z}},vertexShader:"\n varying vec2 vUv;\n void main() {\n vUv = uv;\n gl_Position = vec4(position, 1);\n }",fragmentShader:"\n uniform sampler2D depthTexture;\n uniform bool reverseDepthBuffer;\n varying vec2 vUv;\n void main() {\n if (reverseDepthBuffer) {\n float d = 1.0 - texture2D(depthTexture, vUv).r;\n \n d += 0.00001;\n gl_FragDepth = 1.0 - d;\n } else {\n float d = texture2D(depthTexture, vUv).r;\n d += 0.00001;\n gl_FragDepth = d;\n }\n gl_FragColor = vec4(0.0, 0.0, 0.0, 0.0);\n }\n "}))):(this.transparencyRenderTargetDWFalse&&(this.transparencyRenderTargetDWFalse.dispose(),this.transparencyRenderTargetDWFalse=null),this.transparencyRenderTargetDWTrue&&(this.transparencyRenderTargetDWTrue.dispose(),this.transparencyRenderTargetDWTrue=null),this.depthCopyPass&&(this.depthCopyPass.dispose(),this.depthCopyPass=null))}renderTransparency(e){const t=this.scene.background,n=e.getClearColor(new r.Color),i=e.getClearAlpha(),a=new Map,s=e.autoClearDepth;this.scene.traverse(e=>{a.set(e,e.visible)}),this.scene.background=null,e.autoClearDepth=!1,e.setClearColor(new r.Color(0,0,0),0),this.depthCopyPass.material.uniforms.depthTexture.value=this.beautyRenderTarget.depthTexture,this.depthCopyPass.material.uniforms.reverseDepthBuffer.value=this.configuration.depthBufferType===Z,e.setRenderTarget(this.transparencyRenderTargetDWFalse),this.scene.traverse(e=>{e.material&&(e.visible=a.get(e)&&(e.material.transparent&&!e.material.depthWrite&&!e.userData.treatAsOpaque||!!e.userData.cannotReceiveAO))}),e.clear(!0,!0,!0),this.depthCopyPass.render(e),e.render(this.scene,this.camera),e.setRenderTarget(this.transparencyRenderTargetDWTrue),this.scene.traverse(e=>{e.material&&(e.visible=a.get(e)&&e.material.transparent&&e.material.depthWrite&&!e.userData.treatAsOpaque)}),e.clear(!0,!0,!0),this.depthCopyPass.render(e),e.render(this.scene,this.camera),this.scene.traverse(e=>{e.visible=a.get(e)}),e.setClearColor(n,i),this.scene.background=t,e.autoClearDepth=s}configureSampleDependentPasses(){this.firstFrame(),this.configureAOPass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.configureDenoisePass(this.configuration.depthBufferType,this.camera.isOrthographicCamera)}configureAOPass(e=Y,t=!1){this.firstFrame(),this.samples=this.generateHemisphereSamples(this.configuration.aoSamples);const n={...h};n.fragmentShader=n.fragmentShader.replace("16",this.configuration.aoSamples).replace("16.0",this.configuration.aoSamples+".0"),e===K?n.fragmentShader="#define LOGDEPTH\n"+n.fragmentShader:e===Z&&(n.fragmentShader="#define REVERSEDEPTH\n"+n.fragmentShader),t&&(n.fragmentShader="#define ORTHO\n"+n.fragmentShader),this.configuration.halfRes&&(n.fragmentShader="#define HALFRES\n"+n.fragmentShader),this.effectShaderQuad?(this.effectShaderQuad.material.dispose(),this.effectShaderQuad.material=new r.ShaderMaterial(n)):this.effectShaderQuad=new u(new r.ShaderMaterial(n))}configureDenoisePass(e=Y,t=!1){this.firstFrame(),this.samplesDenoise=this.generateDenoiseSamples(this.configuration.denoiseSamples,11);const n={...V};n.fragmentShader=n.fragmentShader.replace("__N8AO_DENOISE_SAMPLES__",this.configuration.denoiseSamples),e===K?n.fragmentShader="#define LOGDEPTH\n"+n.fragmentShader:e===Z&&(n.fragmentShader="#define REVERSEDEPTH\n"+n.fragmentShader),t&&(n.fragmentShader="#define ORTHO\n"+n.fragmentShader),this.standardDenoiseMaterial&&this.standardDenoiseMaterial.dispose(),this.neuralDenoiseMaterial&&this.neuralDenoiseMaterial.dispose(),this.standardDenoiseMaterial=new r.ShaderMaterial(n),this.neuralDenoiseMaterial=this.configuration.neuralDenoise&&[4,8,16].includes(this.configuration.denoiseSamples)?new r.ShaderMaterial({...n,glslVersion:r.GLSL3,fragmentShader:"#define NEURAL_DENOISE\nlayout(location = 0) out highp vec4 neuralFragColor;\n#define gl_FragColor neuralFragColor\n"+n.fragmentShader}):null,this.poissonBlurQuad?this.poissonBlurQuad.material=this.standardDenoiseMaterial:this.poissonBlurQuad=new u(this.standardDenoiseMaterial)}shouldUseNeuralDenoise(){if(!this.configuration.neuralDenoise)return this._neuralDenoiseWarningKey=null,!1;const e=[];if(16!==this.configuration.aoSamples&&e.push(`aoSamples is ${this.configuration.aoSamples} (expected 16)`),[4,8,16].includes(this.configuration.denoiseSamples)||e.push(`denoiseSamples is ${this.configuration.denoiseSamples} (expected 4, 8, or 16)`),12!==this.configuration.denoiseRadius&&e.push(`denoiseRadius is ${this.configuration.denoiseRadius} (expected 12)`),2!==this.configuration.denoiseIterations&&e.push(`denoiseIterations is ${this.configuration.denoiseIterations} (expected 2)`),this.configuration.halfRes&&e.push("halfRes is enabled (expected full resolution)"),e.length>0){const t=e.join("; ");return t!==this._neuralDenoiseWarningKey&&(console.warn(`[N8AO] neuralDenoise is enabled but cannot run: ${t}. Neural denoising has been disabled; standard denoising will be used.`),this._neuralDenoiseWarningKey=t),!1}return this._neuralDenoiseWarningKey=null,null!==this.neuralDenoiseMaterial}configureEffectCompositer(e=Y,t=!1){this.firstFrame();const n={...c};e===K?n.fragmentShader="#define LOGDEPTH\n"+n.fragmentShader:e===Z&&(n.fragmentShader="#define REVERSEDEPTH\n"+n.fragmentShader),t&&(n.fragmentShader="#define ORTHO\n"+n.fragmentShader),this.configuration.halfRes&&this.configuration.depthAwareUpsampling&&(n.fragmentShader="#define HALFRES\n"+n.fragmentShader),this.effectCompositerQuad?(this.effectCompositerQuad.material.dispose(),this.effectCompositerQuad.material=new r.ShaderMaterial(n)):this.effectCompositerQuad=new u(new r.ShaderMaterial(n))}generateHemisphereSamples(e){const t=[];for(let n=0;n0)for(let n=0;n 0.99) {\n helperVec = vec3(1.0, 0.0, 0.0);\n }\n vec3 tangent = normalize(cross(helperVec, normal));\n vec3 bitangent = cross(normal, tangent);\n mediump mat3 tbn = mat3(tangent, bitangent, normal) * makeRotationZ( noise.r * 3.1415962 * 2.0) ;\n\n mediump float occluded = 0.0;\n mediump float totalWeight = 0.0;\n float radiusToUse = screenSpaceRadius ? distance(\n worldPos,\n getWorldPos(depth, vUv +\n vec2(radius, 0.0) / resolution)\n ) : radius;\n float distanceFalloffToUse =screenSpaceRadius ?\n radiusToUse * distanceFalloff\n : radiusToUse * distanceFalloff * 0.2;\n float bias = (min(\n 0.1,\n distanceFalloffToUse * 0.1\n ) / near) * fwidth(distance(worldPos, cameraPos)) / radiusToUse;\n bias = biasAdjustment.x + biasAdjustment.y * bias;\n mediump float offsetMove = noise.g;\n mediump float offsetMoveInv = 1.0 / FSAMPLES;\n float farTimesNear = far * near;\n float farMinusNear = far - near;\n \n for(int i = 0; i < SAMPLES; i++) {\n mediump vec3 sampleDirection = tbn * samples[i];\n\n float moveAmt = fract(offsetMove);\n offsetMove += offsetMoveInv;\n vec3 samplePos = worldPos + radiusToUse * moveAmt * sampleDirection;\n vec4 offset = projMat * vec4(samplePos, 1.0);\n offset.xyz /= offset.w;\n offset.xy = offset.xy * 0.5 + 0.5;\n #ifndef REVERSEDEPTH\n offset.z = offset.z * 0.5 + 0.5;\n #endif\n \n if (all(greaterThan(offset.xyz * (1.0 - offset.xyz), vec3(0.0)))) {\n float sampleDepth = textureLod(sceneDepth, offset.xy, 0.0).x;\n\n /*#ifdef LOGDEPTH\n float distSample = linearize_depth_log(sampleDepth, near, far);\n #else\n #ifdef ORTHO\n float distSample = near + farMinusNear * sampleDepth;\n #else\n float distSample = (farTimesNear) / (far - sampleDepth * farMinusNear);\n #endif\n #endif*/\n #ifdef REVERSEDEPTH\n float distSample = -getWorldPos(sampleDepth, offset.xy).z;\n #else\n #ifdef ORTHO\n float distSample = near + sampleDepth * farMinusNear;\n #else\n #ifdef LOGDEPTH\n float distSample = linearize_depth_log(sampleDepth, near, far);\n #else\n float distSample = (farTimesNear) / (far - sampleDepth * farMinusNear);\n #endif\n #endif\n #endif\n \n #ifdef REVERSEDEPTH\n float distWorld = -samplePos.z;\n #else\n #ifdef ORTHO\n float distWorld = near + offset.z * farMinusNear;\n #else\n float distWorld = (farTimesNear) / (far - offset.z * farMinusNear);\n #endif\n #endif\n \n mediump float rangeCheck = smoothstep(0.0, 1.0, distanceFalloffToUse / (abs(distSample - distWorld)));\n vec2 diff = gl_FragCoord.xy - floor(offset.xy * resolution);\n occluded += rangeCheck * float(distSample != distWorld) * float(sampleDepth != depth) * step(distSample + bias, distWorld) * step(\n 1.0,\n dot(diff, diff)\n );\n \n totalWeight ++;\n }\n }\n float occ = clamp(1.0 - occluded / (totalWeight == 0.0 ? 1.0 : totalWeight), 0.0, 1.0);\n gl_FragColor = vec4(occ, 0.5 + 0.5 * normal);\n}"},h={uniforms:{sceneDiffuse:{value:null},sceneDepth:{value:null},tDiffuse:{value:null},transparencyDWFalse:{value:null},transparencyDWTrue:{value:null},transparencyDWTrueDepth:{value:null},transparencyAware:{value:!1},projMat:{value:new r.Matrix4},viewMat:{value:new r.Matrix4},projectionMatrixInv:{value:new r.Matrix4},resolution:{value:new r.Vector2},color:{value:new r.Vector3(0,0,0)},blueNoise:{value:null},downsampledDepth:{value:null},time:{value:0},intensity:{value:10},renderMode:{value:0},gammaCorrection:{value:!1},ortho:{value:!1},near:{value:.1},far:{value:1e3},screenSpaceRadius:{value:!1},radius:{value:0},distanceFalloff:{value:1},fog:{value:!1},fogExp:{value:!1},fogDensity:{value:0},fogNear:{value:1/0},fogFar:{value:1/0},colorMultiply:{value:!0},aoTones:{value:0}},depthWrite:!1,depthTest:!1,vertexShader:"\n\t\tvarying vec2 vUv;\n\t\tvoid main() {\n\t\t\tvUv = uv;\n\t\t\tgl_Position = vec4(position, 1);\n\t\t}",fragmentShader:"\n\t\tuniform sampler2D sceneDiffuse;\n uniform highp sampler2D sceneDepth;\n uniform highp sampler2D downsampledDepth;\n uniform highp sampler2D transparencyDWFalse;\n uniform highp sampler2D transparencyDWTrue;\n uniform highp sampler2D transparencyDWTrueDepth;\n uniform sampler2D tDiffuse;\n uniform sampler2D blueNoise;\n uniform vec2 resolution;\n uniform vec3 color;\n uniform mat4 projectionMatrixInv;\n uniform float intensity;\n uniform float renderMode;\n uniform float near;\n uniform float far;\n uniform float aoTones;\n uniform bool gammaCorrection;\n uniform bool ortho;\n uniform bool screenSpaceRadius;\n uniform bool fog;\n uniform bool fogExp;\n uniform bool colorMultiply;\n uniform bool transparencyAware;\n uniform float fogDensity;\n uniform float fogNear;\n uniform float fogFar;\n uniform float radius;\n uniform float distanceFalloff;\n varying vec2 vUv;\n highp float linearize_depth(highp float d, highp float zNear,highp float zFar)\n {\n return (zFar * zNear) / (zFar - d * (zFar - zNear));\n }\n highp float linearize_depth_ortho(highp float d, highp float nearZ, highp float farZ) {\n return nearZ + (farZ - nearZ) * d;\n }\n highp float linearize_depth_log(highp float d, highp float nearZ,highp float farZ) {\n float depth = pow(2.0, d * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n return ortho ? linearize_depth_ortho(\n linDepth,\n nearZ,\n farZ\n ) :linearize_depth(linDepth, nearZ, farZ);\n }\n vec3 getWorldPosLog(vec3 posS) {\n vec2 uv = posS.xy;\n float z = posS.z;\n float nearZ =near;\n float farZ = far;\n float depth = pow(2.0, z * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n vec4 clipVec = vec4(uv, linDepth, 1.0) * 2.0 - 1.0;\n vec4 wpos = projectionMatrixInv * clipVec;\n return wpos.xyz / wpos.w;\n }\n float depthToClipZ(float depth) {\n #ifdef REVERSEDEPTH\n return depth;\n #else\n return depth * 2.0 - 1.0;\n #endif\n }\n bool isBackgroundDepth(float depth) {\n #ifdef REVERSEDEPTH\n return depth == 0.0;\n #else\n return depth == 1.0;\n #endif\n }\n vec3 getWorldPos(float depth, vec2 coord) {\n #ifdef LOGDEPTH\n #ifndef ORTHO\n return getWorldPosLog(vec3(coord, depth));\n #endif\n #endif\n // }\n #ifdef ORTHO\n float z = depthToClipZ(depth);\n vec4 clipSpacePosition = vec4(coord * 2. - 1., z, 1.);\n vec4 viewSpacePosition = projectionMatrixInv * clipSpacePosition;\n viewSpacePosition.xyz /= viewSpacePosition.w;\n return viewSpacePosition.xyz;\n #else\n vec2 ndc = coord * 2. - 1.;\n float ndcZ = depthToClipZ(depth);\n mat4 Q = projectionMatrixInv;\n vec3 view = vec3(Q[0][0] * ndc.x + Q[3][0], Q[1][1] * ndc.y + Q[3][1], Q[3][2]);\n float invW = 1. / (Q[2][3] * ndcZ + Q[3][3]);\n return view * invW;\n #endif\n }\n \n vec3 computeNormal(vec3 worldPos, vec2 vUv) {\n ivec2 p = ivec2(vUv * resolution);\n float c0 = texelFetch(sceneDepth, p, 0).x;\n float l2 = texelFetch(sceneDepth, p - ivec2(2, 0), 0).x;\n float l1 = texelFetch(sceneDepth, p - ivec2(1, 0), 0).x;\n float r1 = texelFetch(sceneDepth, p + ivec2(1, 0), 0).x;\n float r2 = texelFetch(sceneDepth, p + ivec2(2, 0), 0).x;\n float b2 = texelFetch(sceneDepth, p - ivec2(0, 2), 0).x;\n float b1 = texelFetch(sceneDepth, p - ivec2(0, 1), 0).x;\n float t1 = texelFetch(sceneDepth, p + ivec2(0, 1), 0).x;\n float t2 = texelFetch(sceneDepth, p + ivec2(0, 2), 0).x;\n \n float dl = abs((2.0 * l1 - l2) - c0);\n float dr = abs((2.0 * r1 - r2) - c0);\n float db = abs((2.0 * b1 - b2) - c0);\n float dt = abs((2.0 * t1 - t2) - c0);\n \n vec3 ce = getWorldPos(c0, vUv).xyz;\n \n vec3 dpdx = (dl < dr) ? ce - getWorldPos(l1, (vUv - vec2(1.0 / resolution.x, 0.0))).xyz\n : -ce + getWorldPos(r1, (vUv + vec2(1.0 / resolution.x, 0.0))).xyz;\n vec3 dpdy = (db < dt) ? ce - getWorldPos(b1, (vUv - vec2(0.0, 1.0 / resolution.y))).xyz\n : -ce + getWorldPos(t1, (vUv + vec2(0.0, 1.0 / resolution.y))).xyz;\n \n return normalize(cross(dpdx, dpdy));\n }\n\n #include \n #include \n void main() {\n //vec4 texel = texture2D(tDiffuse, vUv);//vec3(0.0);\n vec4 sceneTexel = texture2D(sceneDiffuse, vUv);\n float depth = texture2D(sceneDepth, vUv).x;\n #ifdef HALFRES \n vec4 texel = vec4(0.0);\n if (isBackgroundDepth(depth)) {\n texel = vec4(1.0, 0.0, 0.0, 1.0);\n } else {\n vec3 worldPos = getWorldPos(depth, vUv);\n vec3 normal = computeNormal(getWorldPos(depth, vUv), vUv);\n // vec4 texel = texture2D(tDiffuse, vUv);\n // Find closest depth;\n float totalWeight = 0.0;\n float radiusToUse = screenSpaceRadius ? distance(\n worldPos,\n getWorldPos(depth, vUv +\n vec2(radius, 0.0) / resolution)\n ) : radius;\n float distanceFalloffToUse =screenSpaceRadius ?\n radiusToUse * distanceFalloff\n : distanceFalloff;\n for(float x = -1.0; x <= 1.0; x++) {\n for(float y = -1.0; y <= 1.0; y++) {\n vec2 offset = vec2(x, y);\n ivec2 p = ivec2(\n (vUv * resolution * 0.5) + offset\n );\n vec2 pUv = vec2(p) / (resolution * 0.5);\n float sampleDepth = texelFetch(downsampledDepth,p, 0).x;\n vec4 sampleInfo = texelFetch(tDiffuse, p, 0);\n vec3 normalSample = sampleInfo.gba * 2.0 - 1.0;\n vec3 worldPosSample = getWorldPos(sampleDepth, pUv);\n float tangentPlaneDist = abs(dot(worldPosSample - worldPos, normal));\n float rangeCheck = exp(-1.0 * tangentPlaneDist * (1.0 / distanceFalloffToUse)) * max(dot(normal, normalSample), 0.0);\n float weight = rangeCheck;\n totalWeight += weight;\n texel += sampleInfo * weight;\n }\n }\n if (totalWeight == 0.0) {\n texel = texture2D(tDiffuse, vUv);\n } else {\n texel /= totalWeight;\n }\n }\n #else\n vec4 texel = texture2D(tDiffuse, vUv);\n #endif\n\n #ifdef LOGDEPTH\n texel.r = clamp(texel.r, 0.0, 1.0);\n if (texel.r == 0.0) {\n texel.r = 1.0;\n }\n #endif\n \n float finalAo = pow(texel.r, intensity);\n if (aoTones > 0.0) {\n finalAo = ceil(finalAo * aoTones) / aoTones;\n }\n float fogFactor = 0.0;\n if (fog) {\n float fogDepth = -getWorldPos(depth, vUv).z;\n if (fogExp) {\n fogFactor = 1.0 - exp( - fogDensity * fogDensity * fogDepth * fogDepth );\n } else {\n fogFactor = smoothstep( fogNear, fogFar, fogDepth );\n }\n }\n if (transparencyAware) {\n float transparencyDWOff = texture2D(transparencyDWFalse, vUv).a;\n float transparencyDWOn = texture2D(transparencyDWTrue, vUv).a;\n float adjustmentFactorOff = transparencyDWOff;\n float depthSample = texture2D(sceneDepth, vUv).r;\n float trueDepthSample = texture2D(transparencyDWTrueDepth, vUv).r;\n float adjustmentFactorOn = (1.0 - transparencyDWOn) * (\n trueDepthSample == depthSample ? 1.0 : 0.0\n );\n float adjustmentFactor = max(adjustmentFactorOff, adjustmentFactorOn);\n finalAo = mix(finalAo, 1.0, adjustmentFactor);\n }\n finalAo = mix(finalAo, 1.0, fogFactor);\n vec3 aoApplied = color * mix(vec3(1.0), sceneTexel.rgb, float(colorMultiply));\n if (renderMode == 0.0) {\n gl_FragColor = vec4( mix(sceneTexel.rgb, aoApplied, 1.0 - finalAo), sceneTexel.a);\n } else if (renderMode == 1.0) {\n gl_FragColor = vec4( mix(vec3(1.0), aoApplied, 1.0 - finalAo), sceneTexel.a);\n } else if (renderMode == 2.0) {\n gl_FragColor = vec4( sceneTexel.rgb, sceneTexel.a);\n } else if (renderMode == 3.0) {\n if (vUv.x < 0.5) {\n gl_FragColor = vec4( sceneTexel.rgb, sceneTexel.a);\n } else if (abs(vUv.x - 0.5) < 1.0 / resolution.x) {\n gl_FragColor = vec4(1.0);\n } else {\n gl_FragColor = vec4( mix(sceneTexel.rgb, aoApplied, 1.0 - finalAo), sceneTexel.a);\n }\n } else if (renderMode == 4.0) {\n if (vUv.x < 0.5) {\n gl_FragColor = vec4( sceneTexel.rgb, sceneTexel.a);\n } else if (abs(vUv.x - 0.5) < 1.0 / resolution.x) {\n gl_FragColor = vec4(1.0);\n } else {\n gl_FragColor = vec4( mix(vec3(1.0), aoApplied, 1.0 - finalAo), sceneTexel.a);\n }\n }\n #include \n if (gammaCorrection) {\n gl_FragColor = sRGBTransferOETF(gl_FragColor);\n }\n }\n "};var d={architecture:"attention-v3-int8",formatVersion:3,globalBias:[-.32877659797668457,.4370867609977722,-.05251404270529747,1.3072023391723633,.0477047860622406,.24477416276931763,.009111796505749226,-.17459993064403534],globalFeatureInverseStandardDeviation:[10.771836280822754,1.9548665285110474,1.612365484237671],globalFeatureMean:[.9198138117790222,-.49808526039123535,.03374629095196724],globalWeights:[101,-4,7,-127,6,-11,3,1,0,-16,-7,8,-8,-1,7,-4,0,0,-12,-3,-13,1,0,2],headBias:[-.15895532071590424,.007501596584916115,-.47742825746536255,.01632097363471985,-.48355796933174133,-.1052703931927681,-.8414919376373291,-.21046382188796997],headWeights:[-45,-7,-45,-20,7,-13,120,-24,-15,-26,-19,1,27,-48,-4,-10,1,-5,-24,64,91,-1,-68,39,54,39,101,-40,-127,64,-41,-17,-23,-19,3,35,-2,33,3,9,-64,-32,30,42,-112,12,28,-11,15,2,-4,-7,7,-3,-5,1,76,48,-34,-67,103,-40,-26,1,58,-11,46,-41,5,-6,-17,-8,13,17,-35,45,27,-17,-28,7,-53,12,-51,6,-32,-5,58,-9,-28,-21,37,-12,1,20,2,2,11,7,-4,-9,2,-15,-1,-8,16,12,-27,-1,61,-5,-1,4,-7,-2,7,4,1,4,-2,4,-18,-16,28,6,-65,16,3,-3,-5,-2,0,-40,-21,-22,14,30,-21,49,15,-64,43,19,23,18,5,-15,21,21,30,17,-11,-6,22,-38,-20,97,-46,-5,-13,-59,26,-13,11,-2,-10,-8,2,-15,-17,-27,-9,26,7,-7,6,9,-32,5,-9,12,49,17,-1,24,20,35,14,-33,-50,-1,-4,-26,11,11,9,-80,30,9,36,6,-12,-4,-7,39,-10,-30,-49,1,-43,-20,-34,76,-36,-10,15,-8,43,31,38,-42,39,37,-7,7,8,16,28,-83,32,9,23,-13,39,119,23,-127,-24,8,-48,-29,-7,-33,-12,58,-24,-29,-19,12,-55,-90,0,126,26,42,54,22],keyProjectionWeights:[0,-1,-1,1,1,1,1,1,-64,32,49,23,-25,4,27,-22,0,1,-1,-1,-1,1,1,0,-34,38,64,88,13,-53,-41,58,-7,-4,79,-41,27,26,14,2,-2,1,1,1,-1,-1,1,1,1,-1,-1,-1,-1,-1,1,1,4,-3,126,42,-40,-116,35,20],name:"residual-attention-v3-50m-qat-int8-epoch-25-zo-278w",outputBias:-.0005526235327124596,outputWeights:[11,11,14,-27,9,-22,127,6],quantization:{scales:{globalWeight:.021090541950849095,headWeight:.04935851140909355,keyWeight:.1733924937791441,outputWeight:.0030087142047955295,tapInputWeight:.1096231754049479,tapOutputWeight:.017949438644286102,valueWeight:.013986751242596301},scheme:"symmetric-int8-per-tensor",zeroPoint:0},summaryQueries:[.0038647791370749474,.09565000981092453,.002756686182692647,-.08183622360229492,-.15209506452083588,-.0006105066277086735,.0010439646430313587,-.03020688332617283,.005065929610282183,.14488759636878967,.003160916268825531,-.0855727270245552,-.3123375475406647,.00039022407145239413,.0037786494940519333,.1451321840286255,-.002009483054280281,.0597594790160656,.0045239729806780815,-.08765853196382523,-.13884992897510529,-.0021647117100656033,.003985927440226078,.09727758169174194,.007170629221946001,.0786278173327446,.004103775601834059,-.1198369711637497,-.2925199568271637,-.002055276418104768,.0030450925696641207,.14401987195014954],supportedDenoiseSamples:[4,8,16],tapFeatureInverseStandardDeviation:[2.283243417739868,.8810898065567017,.8210930228233337,3.752316474914551,3.6375720500946045,2.670454978942871,10.249449729919434,.12639354169368744,100],tapFeatureMean:[.010318092070519924,.01364430133253336,.13411010801792145,-.004725644364953041,.10053129494190216,.8384788632392883,.9203217625617981,1.7139031887054443,1],tapInputBias:[.4780646860599518,-.45214661955833435,.289407879114151,.34804567694664,-.1320028454065323,.17722633481025696,.011480014771223068,-.26692497730255127],tapInputWeights:[0,1,7,0,-1,-7,0,31,-2,-1,14,-126,0,0,-1,2,26,-2,0,66,-73,0,0,0,-12,22,-3,0,-76,-90,0,-1,-7,-3,58,-1,0,2,6,0,0,3,4,-40,0,0,3,-13,0,0,1,-7,-13,0,0,-7,10,0,-2,-7,0,-39,-2,0,-13,-19,0,-2,20,-1,3,-1],tapOutputBias:[-.3867710530757904,.1349504142999649,.35706064105033875,-.5938405394554138,-.031154220923781395,1.4079623222351074,-1.9221038818359375,.6029739379882812],tapOutputWeights:[18,-4,47,19,74,-94,-21,-9,73,-59,88,-10,-3,71,-7,24,20,74,24,-31,-12,-10,-15,-45,-126,2,-4,27,-5,24,35,-11,-4,9,-8,26,-10,27,26,-20,17,-50,5,-35,0,-5,12,-71,89,-58,22,-83,-115,7,-16,-89,89,22,1,-20,-22,-25,-26,44],valueProjectionWeights:[-16,-6,40,-17,84,-76,59,51,-10,-2,-10,-1,-23,74,-70,23,-5,4,4,-7,-77,127,20,-48,-36,4,-17,-12,-4,10,29,-27,-2,11,-47,-50,-54,-3,14,11,-23,-1,109,31,4,-100,-33,-36,-19,0,-8,20,-35,-24,79,2,44,2,5,7,22,-70,-67,-35]};const f=[["tapInputWeight","tapInputWeights",8,9],["tapOutputWeight","tapOutputWeights",8,8],["globalWeight","globalWeights",8,3],["keyWeight","keyProjectionWeights",8,8],["valueWeight","valueProjectionWeights",8,8],["headWeight","headWeights",8,32],["outputWeight","outputWeights",1,8]],p=e=>{const t=d.quantization?.scales?.[e];if(!(t>0&&Number.isFinite(t)))throw new Error(`The bundled N8AO neural model has no valid ${e} scale.`);return t};if("symmetric-int8-per-tensor"!==d.quantization?.scheme||0!==d.quantization?.zeroPoint||"4,8,16"!==d.supportedDenoiseSamples?.join(",")||f.some(([,e,t,n])=>d[e]?.length!==t*n||d[e].some(e=>!Number.isInteger(e)||e<-127||e>127)))throw new Error("The bundled N8AO neural denoise model has an unsupported layout.");const m=e=>{if(!Number.isFinite(e))throw new Error("The bundled N8AO neural model contains a non-finite value.");if(Object.is(e,-0))return"0.0";const t=Number(e).toString();return/[.eE]/.test(t)?t:`${t}.0`},g=["x","y","z","w"],v=e=>[...g.map(t=>`${e}.lo.${t}`),...g.map(t=>`${e}.hi.${t}`)],x=e=>e.filter(Boolean).join(" + ")||"0.0",T=(e,t,n,r,i,a)=>{const s=r.map((r,i)=>((e,t)=>0===e?null:1===e?t:-1===e?`(-${t})`:e<0?`(-${m(-e)} * ${t})`:`${m(e)} * ${t}`)(e[t*n+i],r));return`${m(i)} * (${x(s)}) + ${m(a[t])}`},S=(e,t=" ")=>`vec4(\n${e.map(e=>`${t} ${e}`).join(",\n")}\n${t})`,w=({functionName:e,scaleName:t,weights:n,bias:r,width:i=8,relu:a=!1})=>{const s=v("inputToken"),o=p(t),l=Array.from({length:8},(e,t)=>T(n,t,i,s,o,r)),u=S(l.slice(0,4)),c=S(l.slice(4)),h=e=>a?`max(${e}, vec4(0.0))`:e;return`\n NeuralToken neural${e[0].toUpperCase()}${e.slice(1)}(NeuralToken inputToken) {\n return NeuralToken(\n ${h(u)},\n ${h(c)}\n );\n }\n`},y=(e,t,n,r,i,a,s,o={})=>Array.from({length:i},(i,l)=>{let u=t[l];for(let t=0;tT(d.tapInputWeights,t,9,D,b,M)),C=`\n NeuralToken neuralTapInput(NeuralToken raw) {\n NeuralToken scaledInput = NeuralToken(\n raw.lo * ${S(d.tapFeatureInverseStandardDeviation.slice(0,4)," ")},\n raw.hi * ${S(d.tapFeatureInverseStandardDeviation.slice(4,8)," ")}\n );\n return NeuralToken(\n max(${S(A.slice(0,4))}, vec4(0.0)),\n max(${S(A.slice(4))}, vec4(0.0))\n );\n }\n`,R=p("globalWeight"),P=y(d.globalWeights,d.globalBias,d.globalFeatureMean,d.globalFeatureInverseStandardDeviation,8,3,R),E=g.slice(0,3).map(e=>`scaledInput.${e}`),L=Array.from({length:8},(e,t)=>T(d.globalWeights,t,3,E,R,P)),B=`\n NeuralToken neuralEncodeGlobal(vec4 raw) {\n vec3 scaledInput = raw.xyz * vec3(\n ${d.globalFeatureInverseStandardDeviation.map(m).join(", ")}\n );\n return NeuralToken(\n max(${S(L.slice(0,4))}, vec4(0.0)),\n max(${S(L.slice(4))}, vec4(0.0))\n );\n }\n`,F=v("key"),N=Array.from({length:4},(e,t)=>x(F.map((e,n)=>((e,t)=>0===e?null:`${m(e)} * ${t}`)(d.summaryQueries[8*t+n],e)))),O=`\n vec4 neuralQueryScores(NeuralToken key) {\n return ${S(N)};\n }\n`,I=[];for(let e=0;e<4;e++)I.push(...g.map(t=>`runningSummaryLo[${e}].${t}`),...g.map(t=>`runningSummaryHi[${e}].${t}`));const z=p("headWeight"),U=Array.from({length:8},(e,t)=>T(d.headWeights,t,32,I,z,d.headBias)),H=`\n NeuralToken neuralHead(\n vec4 runningSummaryLo[4],\n vec4 runningSummaryHi[4]\n ) {\n return NeuralToken(\n max(${S(U.slice(0,4))}, vec4(0.0)),\n max(${S(U.slice(4))}, vec4(0.0))\n );\n }\n`,W=`\n float neuralOutput(NeuralToken head) {\n return ${T(d.outputWeights,0,8,v("head"),p("outputWeight"),[d.outputBias])};\n }\n`,k=[C,w({functionName:"tapOutput",scaleName:"tapOutputWeight",weights:d.tapOutputWeights,bias:d.tapOutputBias,relu:!0}),B,w({functionName:"keyProject",scaleName:"keyWeight",weights:d.keyProjectionWeights,bias:new Array(8).fill(0)}),w({functionName:"valueProject",scaleName:"valueWeight",weights:d.valueProjectionWeights,bias:new Array(8).fill(0)}),O,H,W].join("\n");f.reduce((e,[,t])=>e+d[t].length,0),f.reduce((e,[,t])=>e+d[t].filter(e=>0!==e).length,0);const V={uniforms:{sceneDiffuse:{value:null},sceneDepth:{value:null},tDiffuse:{value:null},projMat:{value:new r.Matrix4},viewMat:{value:new r.Matrix4},projectionMatrixInv:{value:new r.Matrix4},viewMatrixInv:{value:new r.Matrix4},cameraPos:{value:new r.Vector3},resolution:{value:new r.Vector2},time:{value:0},r:{value:5},blueNoise:{value:null},radius:{value:12},worldRadius:{value:5},index:{value:0},poissonDisk:{value:[]},distanceFalloff:{value:1},near:{value:.1},far:{value:1e3},screenSpaceRadius:{value:!1}},depthWrite:!1,depthTest:!1,vertexShader:"\n\t\tvarying vec2 vUv;\n\t\tvoid main() {\n\t\t\tvUv = uv;\n\t\t\tgl_Position = vec4(position, 1.0);\n\t\t}",fragmentShader:`\n\t\tuniform sampler2D sceneDiffuse;\n uniform highp sampler2D sceneDepth;\n uniform sampler2D tDiffuse;\n uniform sampler2D blueNoise;\n uniform mat4 projectionMatrixInv;\n uniform mat4 viewMatrixInv;\n uniform vec2 resolution;\n uniform float r;\n uniform float radius;\n uniform float worldRadius;\n uniform float index;\n uniform float near;\n uniform float far;\n uniform float distanceFalloff;\n uniform bool screenSpaceRadius;\n varying vec2 vUv;\n\n highp float linearize_depth(highp float d, highp float zNear,highp float zFar)\n {\n highp float z_n = 2.0 * d - 1.0;\n return 2.0 * zNear * zFar / (zFar + zNear - z_n * (zFar - zNear));\n }\n highp float linearize_depth_log(highp float d, highp float nearZ,highp float farZ) {\n float depth = pow(2.0, d * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n return linearize_depth(linDepth, nearZ, farZ);\n }\n highp float linearize_depth_ortho(highp float d, highp float nearZ, highp float farZ) {\n return nearZ + (farZ - nearZ) * d;\n }\n float depthToClipZ(float depth) {\n #ifdef REVERSEDEPTH\n return depth;\n #else\n return depth * 2.0 - 1.0;\n #endif\n }\n bool isBackgroundDepth(float depth) {\n #ifdef REVERSEDEPTH\n return depth == 0.0;\n #else\n return depth == 1.0;\n #endif\n }\n vec3 getWorldPosLog(vec3 posS) {\n vec2 uv = posS.xy;\n float z = posS.z;\n float nearZ =near;\n float farZ = far;\n float depth = pow(2.0, z * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n vec4 clipVec = vec4(uv, linDepth, 1.0) * 2.0 - 1.0;\n vec4 wpos = projectionMatrixInv * clipVec;\n return wpos.xyz / wpos.w;\n }\n vec3 getWorldPos(float depth, vec2 coord) {\n #ifdef LOGDEPTH\n #ifndef ORTHO\n return getWorldPosLog(vec3(coord, depth));\n #endif\n #endif\n \n #ifdef ORTHO\n float z = depthToClipZ(depth);\n vec4 clipSpacePosition = vec4(coord * 2. - 1., z, 1.);\n vec4 viewSpacePosition = projectionMatrixInv * clipSpacePosition;\n viewSpacePosition.xyz /= viewSpacePosition.w;\n return viewSpacePosition.xyz;\n #else\n vec2 ndc = coord * 2. - 1.;\n float ndcZ = depthToClipZ(depth);\n mat4 Q = projectionMatrixInv;\n vec3 view = vec3(Q[0][0] * ndc.x + Q[3][0], Q[1][1] * ndc.y + Q[3][1], Q[3][2]);\n float invW = 1.0 / (Q[2][3] * ndcZ + Q[3][3]);\n return view * invW;\n #endif\n }\n\n#ifdef NEURAL_DENOISE\n struct NeuralToken {\n highp vec4 lo;\n highp vec4 hi;\n };\n\n ${k}\n\n vec3 neuralSafeNormalize(vec3 value, vec3 fallback) {\n float lengthSquared = dot(value, value);\n return lengthSquared > 1e-12 ? value * inversesqrt(lengthSquared) : fallback;\n }\n\n mat3 neuralLocalFrame(vec3 inputNormal) {\n vec3 frameNormal = neuralSafeNormalize(inputNormal, vec3(0.0, 0.0, 1.0));\n vec3 helper = abs(frameNormal.z) < 0.999\n ? vec3(0.0, 0.0, 1.0)\n : vec3(0.0, 1.0, 0.0);\n vec3 tangent = neuralSafeNormalize(\n cross(helper, frameNormal),\n vec3(1.0, 0.0, 0.0)\n );\n vec3 bitangent = cross(frameNormal, tangent);\n return transpose(mat3(tangent, bitangent, frameNormal));\n }\n\n void neuralConsumeToken(\n NeuralToken token,\n inout vec4 runningMaximum,\n inout vec4 runningDenominator,\n inout vec4 runningSummaryLo[4],\n inout vec4 runningSummaryHi[4]\n ) {\n NeuralToken key = neuralKeyProject(token);\n NeuralToken value = neuralValueProject(token);\n vec4 score = neuralQueryScores(key) * 0.3535533905932738;\n vec4 newMaximum = max(runningMaximum, score);\n vec4 oldScale = exp(runningMaximum - newMaximum);\n vec4 newScale = exp(score - newMaximum);\n\n runningSummaryLo[0] = runningSummaryLo[0] * oldScale.x + value.lo * newScale.x;\n runningSummaryHi[0] = runningSummaryHi[0] * oldScale.x + value.hi * newScale.x;\n runningSummaryLo[1] = runningSummaryLo[1] * oldScale.y + value.lo * newScale.y;\n runningSummaryHi[1] = runningSummaryHi[1] * oldScale.y + value.hi * newScale.y;\n runningSummaryLo[2] = runningSummaryLo[2] * oldScale.z + value.lo * newScale.z;\n runningSummaryHi[2] = runningSummaryHi[2] * oldScale.z + value.hi * newScale.z;\n runningSummaryLo[3] = runningSummaryLo[3] * oldScale.w + value.lo * newScale.w;\n runningSummaryHi[3] = runningSummaryHi[3] * oldScale.w + value.hi * newScale.w;\n runningDenominator = runningDenominator * oldScale + newScale;\n runningMaximum = newMaximum;\n }\n\n void neuralEncodeTap(\n NeuralToken raw,\n inout vec4 runningMaximum,\n inout vec4 runningDenominator,\n inout vec4 runningSummaryLo[4],\n inout vec4 runningSummaryHi[4]\n ) {\n NeuralToken first = neuralTapInput(raw);\n NeuralToken token = neuralTapOutput(first);\n neuralConsumeToken(\n token,\n runningMaximum,\n runningDenominator,\n runningSummaryLo,\n runningSummaryHi\n );\n }\n\n float neuralFinish(\n float baselineAO,\n inout vec4 runningMaximum,\n inout vec4 runningDenominator,\n inout vec4 runningSummaryLo[4],\n inout vec4 runningSummaryHi[4]\n ) {\n vec4 raw = vec4(\n baselineAO,\n log(max(worldRadius, 1e-6)),\n log(max(distanceFalloff, 1e-6)),\n 0.0\n );\n NeuralToken token = neuralEncodeGlobal(raw);\n neuralConsumeToken(\n token,\n runningMaximum,\n runningDenominator,\n runningSummaryLo,\n runningSummaryHi\n );\n\n vec4 inverseDenominator = 1.0 / max(runningDenominator, vec4(1e-12));\n runningSummaryLo[0] *= inverseDenominator.x;\n runningSummaryHi[0] *= inverseDenominator.x;\n runningSummaryLo[1] *= inverseDenominator.y;\n runningSummaryHi[1] *= inverseDenominator.y;\n runningSummaryLo[2] *= inverseDenominator.z;\n runningSummaryHi[2] *= inverseDenominator.z;\n runningSummaryLo[3] *= inverseDenominator.w;\n runningSummaryHi[3] *= inverseDenominator.w;\n\n NeuralToken head = neuralHead(runningSummaryLo, runningSummaryHi);\n return neuralOutput(head);\n }\n#endif\n\n #include \n #define NUM_SAMPLES __N8AO_DENOISE_SAMPLES__\n uniform vec2 poissonDisk[NUM_SAMPLES];\n void main() {\n const float pi = 3.14159;\n vec2 texelSize = vec2(1.0 / resolution.x, 1.0 / resolution.y);\n vec2 uv = vUv;\n vec4 data = texture2D(tDiffuse, vUv);\n float occlusion = data.r;\n float baseOcc = data.r;\n vec3 normal = data.gba * 2.0 - 1.0;\n float count = 1.0;\n float d = texture2D(sceneDepth, vUv).x;\n if (isBackgroundDepth(d)) {\n gl_FragColor = data;\n return;\n }\n vec3 worldPos = getWorldPos(d, vUv);\n float size = radius;\n float angle;\n#ifdef NEURAL_DENOISE\n // The neural material is only bound for denoise iteration two.\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).z * PI2;\n#else\n if (index == 0.0) {\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).w * PI2;\n } else if (index == 1.0) {\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).z * PI2;\n } else if (index == 2.0) {\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).y * PI2;\n } else {\n angle = texture2D(blueNoise, gl_FragCoord.xy / 128.0).x * PI2;\n }\n#endif\n\n mat2 rotationMatrix = mat2(cos(angle), -sin(angle), sin(angle), cos(angle));\n float radiusToUse = screenSpaceRadius ? distance(\n worldPos,\n getWorldPos(d, vUv +\n vec2(worldRadius, 0.0) / resolution)\n ) : worldRadius;\n float distanceFalloffToUse =screenSpaceRadius ?\n radiusToUse * distanceFalloff\n : radiusToUse * distanceFalloff * 0.2;\n\n float invDistance = (1.0 / distanceFalloffToUse);\n#ifdef NEURAL_DENOISE\n mat3 neuralWorldToLocal = neuralLocalFrame(normal);\n float neuralInverseRadius = 1.0 / max(radiusToUse, 1e-6);\n float neuralInverseDistance = 1.0 / max(distanceFalloffToUse, 1e-6);\n vec4 neuralMaximum = vec4(-1e30);\n vec4 neuralDenominator = vec4(0.0);\n vec4 neuralSummaryLo[4];\n vec4 neuralSummaryHi[4];\n for (int query = 0; query < 4; query++) {\n neuralSummaryLo[query] = vec4(0.0);\n neuralSummaryHi[query] = vec4(0.0);\n }\n#endif\n for(int i = 0; i < NUM_SAMPLES; i++) {\n vec2 offset = (rotationMatrix * poissonDisk[i]) * texelSize * size;\n vec4 dataSample = texture2D(tDiffuse, uv + offset);\n float occSample = dataSample.r;\n vec3 normalSample = dataSample.gba * 2.0 - 1.0;\n float dSample = texture2D(sceneDepth, uv + offset).x;\n vec3 worldPosSample = getWorldPos(dSample, uv + offset);\n float tangentPlaneDist = abs(dot(worldPosSample - worldPos, normal));\n float rangeCheck = float(!isBackgroundDepth(dSample)) * exp(-1.0 * tangentPlaneDist * invDistance ) * max(dot(normal, normalSample), 0.0);\n occlusion += occSample * rangeCheck;\n count += rangeCheck;\n#ifdef NEURAL_DENOISE\n if (!isBackgroundDepth(dSample)) {\n vec3 localDelta = (neuralWorldToLocal * (worldPosSample - worldPos))\n * neuralInverseRadius;\n vec3 localNormal = neuralWorldToLocal\n * neuralSafeNormalize(normalSample, vec3(0.0, 0.0, 1.0));\n NeuralToken rawTap = NeuralToken(\n vec4(localDelta, localNormal.x),\n vec4(\n localNormal.y,\n localNormal.z,\n occSample,\n tangentPlaneDist * neuralInverseDistance\n )\n );\n neuralEncodeTap(\n rawTap,\n neuralMaximum,\n neuralDenominator,\n neuralSummaryLo,\n neuralSummaryHi\n );\n }\n#endif\n }\n if (count > 0.0) {\n occlusion /= count;\n }\n occlusion = clamp(occlusion, 0.0, 1.0);\n if (occlusion == 0.0) {\n occlusion = 1.0;\n }\n#ifdef NEURAL_DENOISE\n occlusion = clamp(\n occlusion + neuralFinish(\n occlusion,\n neuralMaximum,\n neuralDenominator,\n neuralSummaryLo,\n neuralSummaryHi\n ),\n 0.0,\n 1.0\n );\n#endif\n gl_FragColor = vec4(occlusion, 0.5 + 0.5 * normal);\n }\n `},G={uniforms:{sceneDepth:{value:null},resolution:{value:new r.Vector2},near:{value:.1},far:{value:1e3},viewMatrixInv:{value:new r.Matrix4},projectionMatrixInv:{value:new r.Matrix4},logDepth:{value:!1},ortho:{value:!1}},depthWrite:!1,depthTest:!1,vertexShader:"\n varying vec2 vUv;\n void main() {\n vUv = uv;\n gl_Position = vec4(position, 1);\n }",fragmentShader:"\n uniform highp sampler2D sceneDepth;\n uniform vec2 resolution;\n uniform float near;\n uniform float far;\n uniform bool logDepth;\n uniform bool ortho;\n uniform mat4 viewMatrixInv;\n uniform mat4 projectionMatrixInv;\n varying vec2 vUv;\n layout(location = 1) out vec4 gNormal;\n vec3 getWorldPosLog(vec3 posS) {\n vec2 uv = posS.xy;\n float z = posS.z;\n float nearZ =near;\n float farZ = far;\n float depth = pow(2.0, z * log2(farZ + 1.0)) - 1.0;\n float a = farZ / (farZ - nearZ);\n float b = farZ * nearZ / (nearZ - farZ);\n float linDepth = a + b / depth;\n vec4 clipVec = vec4(uv, linDepth, 1.0) * 2.0 - 1.0;\n vec4 wpos = projectionMatrixInv * clipVec;\n return wpos.xyz / wpos.w;\n }\n vec3 getWorldPos(float depth, vec2 coord) {\n if (logDepth && !ortho) {\n return getWorldPosLog(vec3(coord, depth));\n }\n if (ortho) {\n #ifdef REVERSEDEPTH\n float z = depth;\n #else\n float z = depth * 2. - 1.;\n #endif\n vec4 clipSpacePosition = vec4(coord * 2. - 1., z, 1.);\n vec4 viewSpacePosition = projectionMatrixInv * clipSpacePosition;\n viewSpacePosition.xyz /= viewSpacePosition.w;\n return viewSpacePosition.xyz;\n }\n vec2 ndc = coord * 2. - 1.;\n #ifdef REVERSEDEPTH\n float ndcZ = depth;\n #else\n float ndcZ = depth * 2. - 1.;\n #endif\n mat4 Q = projectionMatrixInv;\n vec3 view = vec3(Q[0][0] * ndc.x + Q[3][0], Q[1][1] * ndc.y + Q[3][1], Q[3][2]);\n float invW = 1. / (Q[2][3] * ndcZ + Q[3][3]);\n return view * invW;\n }\n \n vec3 computeNormal(vec3 worldPos, vec2 vUv) {\n ivec2 p = ivec2(vUv * resolution);\n float c0 = texelFetch(sceneDepth, p, 0).x;\n float l2 = texelFetch(sceneDepth, p - ivec2(2, 0), 0).x;\n float l1 = texelFetch(sceneDepth, p - ivec2(1, 0), 0).x;\n float r1 = texelFetch(sceneDepth, p + ivec2(1, 0), 0).x;\n float r2 = texelFetch(sceneDepth, p + ivec2(2, 0), 0).x;\n float b2 = texelFetch(sceneDepth, p - ivec2(0, 2), 0).x;\n float b1 = texelFetch(sceneDepth, p - ivec2(0, 1), 0).x;\n float t1 = texelFetch(sceneDepth, p + ivec2(0, 1), 0).x;\n float t2 = texelFetch(sceneDepth, p + ivec2(0, 2), 0).x;\n \n float dl = abs((2.0 * l1 - l2) - c0);\n float dr = abs((2.0 * r1 - r2) - c0);\n float db = abs((2.0 * b1 - b2) - c0);\n float dt = abs((2.0 * t1 - t2) - c0);\n \n vec3 ce = getWorldPos(c0, vUv).xyz;\n \n vec3 dpdx = (dl < dr) ? ce - getWorldPos(l1, (vUv - vec2(1.0 / resolution.x, 0.0))).xyz\n : -ce + getWorldPos(r1, (vUv + vec2(1.0 / resolution.x, 0.0))).xyz;\n vec3 dpdy = (db < dt) ? ce - getWorldPos(b1, (vUv - vec2(0.0, 1.0 / resolution.y))).xyz\n : -ce + getWorldPos(t1, (vUv + vec2(0.0, 1.0 / resolution.y))).xyz;\n \n return normalize(cross(dpdx, dpdy));\n }\n void main() {\n vec2 uv = vUv - vec2(0.5) / resolution;\n vec2 pixelSize = vec2(1.0) / resolution;\n highp vec2[4] uvSamples;\n uvSamples[0] = uv;\n uvSamples[1] = uv + vec2(pixelSize.x, 0.0);\n uvSamples[2] = uv + vec2(0.0, pixelSize.y);\n uvSamples[3] = uv + pixelSize;\n float depth00 = texture2D(sceneDepth, uvSamples[0]).r;\n float depth10 = texture2D(sceneDepth, uvSamples[1]).r;\n float depth01 = texture2D(sceneDepth, uvSamples[2]).r;\n float depth11 = texture2D(sceneDepth, uvSamples[3]).r;\n float minDepth = min(min(depth00, depth10), min(depth01, depth11));\n float maxDepth = max(max(depth00, depth10), max(depth01, depth11));\n float targetDepth = minDepth;\n // Checkerboard pattern to avoid artifacts\n if (mod(gl_FragCoord.x + gl_FragCoord.y, 2.0) > 0.5) { \n targetDepth = maxDepth;\n }\n int chosenIndex = 0;\n float[4] samples;\n samples[0] = depth00;\n samples[1] = depth10;\n samples[2] = depth01;\n samples[3] = depth11;\n for(int i = 0; i < 4; ++i) {\n if (samples[i] == targetDepth) {\n chosenIndex = i;\n break;\n }\n }\n gl_FragColor = vec4(samples[chosenIndex], 0.0, 0.0, 1.0);\n gNormal = vec4(computeNormal(\n getWorldPos(samples[chosenIndex], uvSamples[chosenIndex]), uvSamples[chosenIndex]\n ), 0.0);\n }"},j=(()=>Uint8Array.from(atob("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"),e=>e.charCodeAt(0)))(),Q=(()=>parseInt(r.REVISION.replace(/\D+/g,"")))()>=162?class extends r.WebGLRenderTarget{constructor(e=1,t=1,n=1,r={}){super(e,t,{...r,count:n}),this.isWebGLMultipleRenderTargets=!0}get texture(){return this.textures}}:class extends r.WebGLRenderTarget{constructor(e=1,t=1,n=1,r={}){super(e,t,r),this.isWebGLMultipleRenderTargets=!0;const i=this.texture;this.texture=[];for(let e=0;e{X(e,t,n)},1)}const Y=1,K=2,Z=3;class q{constructor(){this.isPass=!0,this.enabled=!0,this.needsSwap=!0,this.clear=!1,this.renderToScreen=!1}setSize(){}render(){console.error("THREE.Pass: .render() must be implemented in derived pass.")}dispose(){}}const J=new t.OrthographicCamera(-1,1,1,-1,0,1);class _ extends t.BufferGeometry{constructor(){super(),this.setAttribute("position",new t.Float32BufferAttribute([-1,3,0,-1,-1,0,3,-1,0],3)),this.setAttribute("uv",new t.Float32BufferAttribute([0,2,0,0,2,0],2))}}const $=new _;class ee{constructor(e){this._mesh=new t.Mesh($,e)}dispose(){this._mesh.geometry.dispose()}render(e){e.render(this._mesh,J)}get material(){return this._mesh.material}set material(e){this._mesh.material=e}}const te={name:"CopyShader",uniforms:{tDiffuse:{value:null},opacity:{value:1}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform float opacity;\n\n\t\tuniform sampler2D tDiffuse;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvec4 texel = texture2D( tDiffuse, vUv );\n\t\t\tgl_FragColor = opacity * texel;\n\n\n\t\t}"};const ne="\n varying vec2 vUv;\n\n void main() {\n vUv = uv;\n gl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0);\n }",re="\n #include \n #include \n\n varying vec2 vUv;\n\n uniform sampler2D tDiffuse;\n uniform sampler2D tDepth;\n uniform float focusDistance;\n uniform float focusRange;\n uniform float transitionDistance;\n uniform float maxBlur;\n uniform float aspect;\n uniform float nearClip;\n uniform float farClip;\n\n float getDistance(const in vec2 uv) {\n float depth = texture2D(tDepth, uv).x;\n #if PERSPECTIVE_CAMERA == 1\n return -perspectiveDepthToViewZ(depth, nearClip, farClip);\n #else\n return -orthographicDepthToViewZ(depth, nearClip, farClip);\n #endif\n }\n\n float getBlur(const in float distance) {\n float outOfFocusDistance =\n abs(distance - focusDistance) - focusRange * 0.5;\n return clamp(outOfFocusDistance / transitionDistance, 0.0, 1.0);\n }\n\n // A sharper object in front of the pixel must not be spread on it.\n float getSampleWeight(\n const in float sampleDistance,\n const in float centerDistance,\n const in float centerBlur\n ) {\n return sampleDistance < centerDistance\n ? clamp(getBlur(sampleDistance) / centerBlur, 0.0, 1.0)\n : 1.0;\n }\n\n // The full resolution pixel giving its depth to a pixel of the half\n // resolution blur.\n vec2 getBlurDepthUv(const in vec2 blurUv) {\n return blurUv - 0.5 / vec2(textureSize(tDiffuse, 0));\n }",ie=`\n ${re}\n\n vec4 color;\n float totalWeight;\n float centerDistance;\n float centerBlur;\n vec2 blurRadius;\n\n void addPixel(const in vec2 uv, const in float weight) {\n float pixelWeight = weight *\n getSampleWeight(getDistance(uv), centerDistance, centerBlur);\n color += texture2D(tDiffuse, uv) * pixelWeight;\n totalWeight += pixelWeight;\n }\n\n void addSample(const in vec2 offset) {\n addPixel(vUv + offset * blurRadius, 1.0);\n }\n\n void main() {\n vec2 depthUv = getBlurDepthUv(vUv);\n centerDistance = getDistance(depthUv);\n centerBlur = getBlur(centerDistance);\n if (centerBlur <= 0.0) {\n gl_FragColor = texture2D(tDiffuse, vUv);\n return;\n }\n // Start from the 4 pixels under this one, without the sharper objects\n // in front.\n vec2 pixelSize = 1.0 / vec2(textureSize(tDiffuse, 0));\n color = vec4(0.0);\n totalWeight = 0.0;\n addPixel(depthUv, 0.25);\n addPixel(depthUv + vec2(pixelSize.x, 0.0), 0.25);\n addPixel(depthUv + vec2(0.0, pixelSize.y), 0.25);\n addPixel(depthUv + pixelSize, 0.25);\n blurRadius = vec2(1.0, aspect) * maxBlur * centerBlur;\n\n addSample(vec2( 0.0, 1.0 ));\n addSample(vec2( 0.375, 0.925));\n addSample(vec2( 0.725, 0.725));\n addSample(vec2(-0.925, 0.375));\n addSample(vec2( 1.0, 0.0 ));\n addSample(vec2( 0.925, -0.375));\n addSample(vec2( 0.725, -0.725));\n addSample(vec2(-0.375, -0.925));\n addSample(vec2( 0.0, -1.0 ));\n addSample(vec2(-0.375, 0.925));\n addSample(vec2(-0.725, 0.725));\n addSample(vec2( 0.925, 0.375));\n addSample(vec2(-1.0, 0.0 ));\n addSample(vec2(-0.925, -0.375));\n addSample(vec2(-0.725, -0.725));\n addSample(vec2( 0.375, -0.925));\n\n addSample(vec2( 0.375, 0.925) * 0.9);\n addSample(vec2(-0.925, 0.375) * 0.9);\n addSample(vec2( 0.925, -0.375) * 0.9);\n addSample(vec2(-0.375, -0.925) * 0.9);\n addSample(vec2(-0.375, 0.925) * 0.9);\n addSample(vec2( 0.925, 0.375) * 0.9);\n addSample(vec2(-0.925, -0.375) * 0.9);\n addSample(vec2( 0.375, -0.925) * 0.9);\n\n addSample(vec2( 0.725, 0.725) * 0.7);\n addSample(vec2( 1.0, 0.0 ) * 0.7);\n addSample(vec2( 0.725, -0.725) * 0.7);\n addSample(vec2( 0.0, -1.0 ) * 0.7);\n addSample(vec2(-0.725, 0.725) * 0.7);\n addSample(vec2(-1.0, 0.0 ) * 0.7);\n addSample(vec2(-0.725, -0.725) * 0.7);\n addSample(vec2( 0.0, 1.0 ) * 0.7);\n\n addSample(vec2( 0.725, 0.725) * 0.4);\n addSample(vec2( 1.0, 0.0 ) * 0.4);\n addSample(vec2( 0.725, -0.725) * 0.4);\n addSample(vec2( 0.0, -1.0 ) * 0.4);\n addSample(vec2(-0.725, 0.725) * 0.4);\n addSample(vec2(-1.0, 0.0 ) * 0.4);\n addSample(vec2(-0.725, -0.725) * 0.4);\n addSample(vec2( 0.0, 1.0 ) * 0.4);\n\n gl_FragColor = color / totalWeight;\n }`,ae=`\n ${re}\n\n uniform sampler2D tBlurred;\n\n vec4 blurredColor;\n float totalWeight;\n float centerDistance;\n float centerBlur;\n vec2 blurredPosition;\n\n void addBlurredSample(const in vec2 offset) {\n vec2 blurredSize = vec2(textureSize(tBlurred, 0));\n // Clamped at the borders, so that the color and the depth are read for\n // the same pixel.\n vec2 blurPixel = clamp(\n floor(blurredPosition) + offset,\n vec2(0.0),\n blurredSize - 1.0\n );\n vec2 blurUv = (blurPixel + 0.5) / blurredSize;\n vec2 bilinearWeights = mix(\n 1.0 - fract(blurredPosition),\n fract(blurredPosition),\n offset\n );\n float weight = bilinearWeights.x * bilinearWeights.y * getSampleWeight(\n getDistance(getBlurDepthUv(blurUv)),\n centerDistance,\n centerBlur\n );\n blurredColor += texture2D(tBlurred, blurUv) * weight;\n totalWeight += weight;\n }\n\n void main() {\n vec4 sharpColor = texture2D(tDiffuse, vUv);\n centerDistance = getDistance(vUv);\n centerBlur = getBlur(centerDistance);\n float blurInPixels =\n centerBlur * maxBlur * float(textureSize(tDiffuse, 0).x);\n if (blurInPixels <= 0.0) {\n gl_FragColor = sharpColor;\n return;\n }\n\n // Bilinear upsampling of the blur, without the pixels of sharper objects\n // in front of this one.\n blurredPosition = vUv * vec2(textureSize(tBlurred, 0)) - 0.5;\n blurredColor = vec4(0.0);\n totalWeight = 0.0;\n addBlurredSample(vec2(0.0, 0.0));\n addBlurredSample(vec2(1.0, 0.0));\n addBlurredSample(vec2(0.0, 1.0));\n addBlurredSample(vec2(1.0, 1.0));\n if (totalWeight <= 0.0) {\n gl_FragColor = sharpColor;\n return;\n }\n\n // The blur computed at half the resolution is too coarse for blurs\n // under 2 pixels: mix it with the sharp image.\n gl_FragColor = mix(\n sharpColor,\n blurredColor / totalWeight,\n clamp(blurInPixels * 0.5, 0.0, 1.0)\n );\n }`;function se(e,n){if(n===t.TrianglesDrawMode)return console.warn("THREE.BufferGeometryUtils.toTrianglesDrawMode(): Geometry already defined as triangles."),e;if(n===t.TriangleFanDrawMode||n===t.TriangleStripDrawMode){let r=e.getIndex();if(null===r){const t=[],n=e.getAttribute("position");if(void 0===n)return console.error("THREE.BufferGeometryUtils.toTrianglesDrawMode(): Undefined position attribute. Processing not possible."),e;for(let e=0;ee.times.length))/r.duration,i.names=i.names||[],n.isObject3D||(n=function(e){const n=new t.SkeletonHelper(e.bones[0]);return n.skeleton=e,n}(n));const a=Math.round(r.duration*(i.fps/1e3)*1e3),s=r.duration/(a-1),o=[],l=new t.AnimationMixer(n),u=he(e.skeleton),c=[];let h,d,f,p,m;l.clipAction(r).play();let g=0,v=a;void 0!==i.trim?(g=Math.round(i.trim[0]*i.fps),v=Math.min(Math.round(i.trim[1]*i.fps),a)-g,l.update(i.trim[0])):l.update(0),n.updateMatrixWorld();for(let t=0;t=2.0 are supported.")));const l=new ht(i,{path:t||this.resourcePath||"",crossOrigin:this.crossOrigin,requestHeader:this.requestHeader,manager:this.manager,ktx2Loader:this.ktx2Loader,meshoptDecoder:this.meshoptDecoder});l.fileLoader.setRequestHeader(this.requestHeader);for(let e=0;e=0&&void 0===s[t]&&console.warn('THREE.GLTFLoader: Unknown extension "'+t+'".')}}l.setExtensions(a),l.setPlugins(s),l.parse(n,r)}parseAsync(e,t){const n=this;return new Promise(function(r,i){n.parse(e,t,r,i)})}}function me(){let e={};return{get:function(t){return e[t]},add:function(t,n){e[t]=n},remove:function(t){delete e[t]},removeAll:function(){e={}}}}function ge(e,t,n){const r=e.json.materials[t];return r.extensions&&r.extensions[n]?r.extensions[n]:null}const ve={KHR_BINARY_GLTF:"KHR_binary_glTF",KHR_DRACO_MESH_COMPRESSION:"KHR_draco_mesh_compression",KHR_LIGHTS_PUNCTUAL:"KHR_lights_punctual",KHR_MATERIALS_CLEARCOAT:"KHR_materials_clearcoat",KHR_MATERIALS_DISPERSION:"KHR_materials_dispersion",KHR_MATERIALS_IOR:"KHR_materials_ior",KHR_MATERIALS_SHEEN:"KHR_materials_sheen",KHR_MATERIALS_SPECULAR:"KHR_materials_specular",KHR_MATERIALS_TRANSMISSION:"KHR_materials_transmission",KHR_MATERIALS_IRIDESCENCE:"KHR_materials_iridescence",KHR_MATERIALS_ANISOTROPY:"KHR_materials_anisotropy",KHR_MATERIALS_UNLIT:"KHR_materials_unlit",KHR_MATERIALS_VOLUME:"KHR_materials_volume",KHR_TEXTURE_BASISU:"KHR_texture_basisu",KHR_TEXTURE_TRANSFORM:"KHR_texture_transform",KHR_MESH_QUANTIZATION:"KHR_mesh_quantization",KHR_MATERIALS_EMISSIVE_STRENGTH:"KHR_materials_emissive_strength",EXT_MATERIALS_BUMP:"EXT_materials_bump",EXT_TEXTURE_WEBP:"EXT_texture_webp",EXT_TEXTURE_AVIF:"EXT_texture_avif",EXT_MESHOPT_COMPRESSION:"EXT_meshopt_compression",KHR_MESHOPT_COMPRESSION:"KHR_meshopt_compression",EXT_MESH_GPU_INSTANCING:"EXT_mesh_gpu_instancing"};class xe{constructor(e){this.parser=e,this.name=ve.KHR_LIGHTS_PUNCTUAL,this.cache={refs:{},uses:{}}}_markDefs(){const e=this.parser,t=this.parser.json.nodes||[];for(let n=0,r=t.length;n=0)throw new Error("THREE.GLTFLoader: setKTX2Loader must be called before loading KTX2 textures");return null}return t.loadTextureImage(e,i.source,a)}}class Be{constructor(e){this.parser=e,this.name=ve.EXT_TEXTURE_WEBP}loadTexture(e){const t=this.name,n=this.parser,r=n.json,i=r.textures[e];if(!i.extensions||!i.extensions[t])return null;const a=i.extensions[t],s=r.images[a.source];let o=n.textureLoader;if(s.uri){const e=n.options.manager.getHandler(s.uri);null!==e&&(o=e)}return n.loadTextureImage(e,a.source,o)}}class Fe{constructor(e){this.parser=e,this.name=ve.EXT_TEXTURE_AVIF}loadTexture(e){const t=this.name,n=this.parser,r=n.json,i=r.textures[e];if(!i.extensions||!i.extensions[t])return null;const a=i.extensions[t],s=r.images[a.source];let o=n.textureLoader;if(s.uri){const e=n.options.manager.getHandler(s.uri);null!==e&&(o=e)}return n.loadTextureImage(e,a.source,o)}}class Ne{constructor(e,t){this.name=t,this.parser=e}loadBufferView(e){const t=this.parser.json,n=t.bufferViews[e];if(n.extensions&&n.extensions[this.name]){const e=n.extensions[this.name],r=this.parser.getDependency("buffer",e.buffer),i=this.parser.options.meshoptDecoder;if(!i||!i.supported){if(t.extensionsRequired&&t.extensionsRequired.indexOf(this.name)>=0)throw new Error("THREE.GLTFLoader: setMeshoptDecoder must be called before loading compressed files");return null}return r.then(function(t){const n=e.byteOffset||0,r=e.byteLength||0,a=e.count,s=e.byteStride,o=new Uint8Array(t,n,r);return i.decodeGltfBufferAsync?i.decodeGltfBufferAsync(a,s,o,e.mode,e.filter).then(function(e){return e.buffer}):i.ready.then(function(){const t=new ArrayBuffer(a*s);return i.decodeGltfBuffer(new Uint8Array(t),a,s,o,e.mode,e.filter),t})})}return null}}class Oe{constructor(e){this.name=ve.EXT_MESH_GPU_INSTANCING,this.parser=e}createNodeMesh(e){const n=this.parser.json,r=n.nodes[e];if(!r.extensions||!r.extensions[this.name]||void 0===r.mesh)return null;const i=n.meshes[r.mesh];for(const e of i.primitives)if(e.mode!==Xe.TRIANGLES&&e.mode!==Xe.TRIANGLE_STRIP&&e.mode!==Xe.TRIANGLE_FAN&&void 0!==e.mode)return null;const a=r.extensions[this.name].attributes,s=[],o={};for(const e in a)s.push(this.parser.getDependency("accessor",a[e]).then(t=>(o[e]=t,o[e])));return s.length<1?null:(s.push(this.parser.createNodeMesh(e)),Promise.all(s).then(e=>{const n=e.pop(),r=n.isGroup?n.children:[n],i=e[0].count,a=[];for(const e of r){const n=new t.Matrix4,r=new t.Vector3,s=new t.Quaternion,l=new t.Vector3(1,1,1),u=new t.InstancedMesh(e.geometry,e.material,i);for(let e=0;e-1,s=a?e.match(/Firefox\/([0-9]+)\./)[1]:-1}"undefined"==typeof createImageBitmap||r&&i<17||a&&s<98?this.textureLoader=new t.TextureLoader(this.options.manager):this.textureLoader=new t.ImageBitmapLoader(this.options.manager),this.textureLoader.setCrossOrigin(this.options.crossOrigin),this.textureLoader.setRequestHeader(this.options.requestHeader),this.fileLoader=new t.FileLoader(this.options.manager),this.fileLoader.setResponseType("arraybuffer"),"use-credentials"===this.options.crossOrigin&&this.fileLoader.setWithCredentials(!0)}setExtensions(e){this.extensions=e}setPlugins(e){this.plugins=e}parse(e,t){const n=this,r=this.json,i=this.extensions;this.cache.removeAll(),this.nodeCache={},this._invokeAll(function(e){return e._markDefs&&e._markDefs()}),Promise.all(this._invokeAll(function(e){return e.beforeRoot&&e.beforeRoot()})).then(function(){return Promise.all([n.getDependencies("scene"),n.getDependencies("animation"),n.getDependencies("camera")])}).then(function(t){const a={scene:t[0][r.scene||0],scenes:t[0],animations:t[1],cameras:t[2],asset:r.asset,parser:n,userData:{}};return it(i,a,r),at(a,r),Promise.all(n._invokeAll(function(e){return e.afterRoot&&e.afterRoot(a)})).then(function(){for(const e of a.scenes)e.updateMatrixWorld();e(a)})}).catch(t)}_markDefs(){const e=this.json.nodes||[],t=this.json.skins||[],n=this.json.meshes||[];for(let n=0,r=t.length;n{const n=this.associations.get(e);null!=n&&this.associations.set(t,n);for(const[n,r]of e.children.entries())i(r,t.children[n])};return i(n,r),r.name+="_instance_"+e.uses[t]++,r}_invokeOne(e){const t=Object.values(this.plugins);t.push(this);for(let n=0;n=2&&p.setY(t,h[e*s+1]),s>=3&&p.setZ(t,h[e*s+2]),s>=4&&p.setW(t,h[e*s+3]),s>=5)throw new Error("THREE.GLTFLoader: Unsupported itemSize in sparse BufferAttribute.")}p.normalized=d}return p})}loadTexture(e){const t=this.json,n=this.options,r=t.textures[e].source,i=t.images[r];let a=this.textureLoader;if(i.uri){const e=n.manager.getHandler(i.uri);null!==e&&(a=e)}return this.loadTextureImage(e,r,a)}loadTextureImage(e,n,r){const i=this,a=this.json,s=a.textures[e],o=a.images[n],l=(o.uri||o.bufferView)+":"+s.sampler;if(this.textureCache[l])return this.textureCache[l];const u=this.loadImageSource(n,r).then(function(n){n.flipY=!1,n.name=s.name||o.name||"",""===n.name&&"string"==typeof o.uri&&!1===o.uri.startsWith("data:image/")&&(n.name=o.uri);const r=(a.samplers||{})[s.sampler]||{};return n.magFilter=Ke[r.magFilter]||t.LinearFilter,n.minFilter=Ke[r.minFilter]||t.LinearMipmapLinearFilter,n.wrapS=Ze[r.wrapS]||t.RepeatWrapping,n.wrapT=Ze[r.wrapT]||t.RepeatWrapping,n.generateMipmaps=!n.isCompressedTexture&&n.minFilter!==t.NearestFilter&&n.minFilter!==t.LinearFilter,i.associations.set(n,{textures:e}),n}).catch(function(){return null});return this.textureCache[l]=u,u}loadImageSource(e,n){const r=this,i=this.json,a=this.options;if(void 0!==this.sourceCache[e])return this.sourceCache[e].then(e=>e.clone());const s=i.images[e],o=self.URL||self.webkitURL;let l=s.uri||"",u=!1;if(void 0!==s.bufferView)l=r.getDependency("bufferView",s.bufferView).then(function(e){u=!0;const t=new Blob([e],{type:s.mimeType});return l=o.createObjectURL(t),l});else if(void 0===s.uri)throw new Error("THREE.GLTFLoader: Image "+e+" is missing URI and bufferView");const c=Promise.resolve(l).then(function(e){return new Promise(function(r,i){let s=r;!0===n.isImageBitmapLoader&&(s=function(e){const n=new t.Texture(e);n.needsUpdate=!0,r(n)}),n.load(t.LoaderUtils.resolveURL(e,a.path),s,void 0,i)})}).then(function(e){var t;return!0===u&&o.revokeObjectURL(l),at(e,s),e.userData.mimeType=s.mimeType||((t=s.uri).search(/\.jpe?g($|\?)/i)>0||0===t.search(/^data\:image\/jpeg/)?"image/jpeg":t.search(/\.webp($|\?)/i)>0||0===t.search(/^data\:image\/webp/)?"image/webp":t.search(/\.ktx2($|\?)/i)>0||0===t.search(/^data\:image\/ktx2/)?"image/ktx2":"image/png"),e}).catch(function(e){throw console.error("THREE.GLTFLoader: Couldn't load texture",l),e});return this.sourceCache[e]=c,c}assignTexture(e,t,n,r){const i=this;return this.getDependency("texture",n.index).then(function(a){if(!a)return null;if(void 0!==n.texCoord&&n.texCoord>0&&((a=a.clone()).channel=n.texCoord),i.extensions[ve.KHR_TEXTURE_TRANSFORM]){const e=void 0!==n.extensions?n.extensions[ve.KHR_TEXTURE_TRANSFORM]:void 0;if(e){const t=i.associations.get(a);a=i.extensions[ve.KHR_TEXTURE_TRANSFORM].extendTexture(a,e),i.associations.set(a,t)}}return void 0!==r&&(a.colorSpace=r),e[t]=a,a})}assignFinalMaterial(e){const n=e.geometry;let r=e.material;const i=void 0===n.attributes.tangent,a=void 0!==n.attributes.color,s=void 0===n.attributes.normal;if(e.isPoints){const e="PointsMaterial:"+r.uuid;let n=this.cache.get(e);n||(n=new t.PointsMaterial,t.Material.prototype.copy.call(n,r),n.color.copy(r.color),n.map=r.map,n.sizeAttenuation=!1,this.cache.add(e,n)),r=n}else if(e.isLine){const e="LineBasicMaterial:"+r.uuid;let n=this.cache.get(e);n||(n=new t.LineBasicMaterial,t.Material.prototype.copy.call(n,r),n.color.copy(r.color),n.map=r.map,this.cache.add(e,n)),r=n}if(i||a||s){let e="ClonedMaterial:"+r.uuid+":";i&&(e+="derivative-tangents:"),a&&(e+="vertex-colors:"),s&&(e+="flat-shading:");let t=this.cache.get(e);t||(t=r.clone(),a&&(t.vertexColors=!0),s&&(t.flatShading=!0),i&&(t.normalScale&&(t.normalScale.y*=-1),t.clearcoatNormalScale&&(t.clearcoatNormalScale.y*=-1)),this.cache.add(e,t),this.associations.set(t,this.associations.get(r))),r=t}e.material=r}getMaterialType(){return t.MeshStandardMaterial}loadMaterial(e){const n=this,r=this.json,i=this.extensions,a=r.materials[e];let s;const o={},l=[];if((a.extensions||{})[ve.KHR_MATERIALS_UNLIT]){const e=i[ve.KHR_MATERIALS_UNLIT];s=e.getMaterialType(),l.push(e.extendParams(o,a,n))}else{const r=a.pbrMetallicRoughness||{};if(o.color=new t.Color(1,1,1),o.opacity=1,Array.isArray(r.baseColorFactor)){const e=r.baseColorFactor;o.color.setRGB(e[0],e[1],e[2],t.LinearSRGBColorSpace),o.opacity=e[3]}void 0!==r.baseColorTexture&&l.push(n.assignTexture(o,"map",r.baseColorTexture,t.SRGBColorSpace)),o.metalness=void 0!==r.metallicFactor?r.metallicFactor:1,o.roughness=void 0!==r.roughnessFactor?r.roughnessFactor:1,void 0!==r.metallicRoughnessTexture&&(l.push(n.assignTexture(o,"metalnessMap",r.metallicRoughnessTexture)),l.push(n.assignTexture(o,"roughnessMap",r.metallicRoughnessTexture))),s=this._invokeOne(function(t){return t.getMaterialType&&t.getMaterialType(e)}),l.push(Promise.all(this._invokeAll(function(t){return t.extendMaterialParams&&t.extendMaterialParams(e,o)})))}!0===a.doubleSided&&(o.side=t.DoubleSide);const u=a.alphaMode||et;if(u===nt?(o.transparent=!0,o.depthWrite=!1):(o.transparent=!1,u===tt&&(o.alphaTest=void 0!==a.alphaCutoff?a.alphaCutoff:.5)),void 0!==a.normalTexture&&s!==t.MeshBasicMaterial&&(l.push(n.assignTexture(o,"normalMap",a.normalTexture)),o.normalScale=new t.Vector2(1,1),void 0!==a.normalTexture.scale)){const e=a.normalTexture.scale;o.normalScale.set(e,e)}if(void 0!==a.occlusionTexture&&s!==t.MeshBasicMaterial&&(l.push(n.assignTexture(o,"aoMap",a.occlusionTexture)),void 0!==a.occlusionTexture.strength&&(o.aoMapIntensity=a.occlusionTexture.strength)),void 0!==a.emissiveFactor&&s!==t.MeshBasicMaterial){const e=a.emissiveFactor;o.emissive=(new t.Color).setRGB(e[0],e[1],e[2],t.LinearSRGBColorSpace)}return void 0!==a.emissiveTexture&&s!==t.MeshBasicMaterial&&l.push(n.assignTexture(o,"emissiveMap",a.emissiveTexture,t.SRGBColorSpace)),Promise.all(l).then(function(){const t=new s(o);return a.name&&(t.name=a.name),at(t,a),n.associations.set(t,{materials:e}),a.extensions&&it(i,t,a),t})}createUniqueName(e){const n=t.PropertyBinding.sanitizeNodeName(e||"");return n in this.nodeNamesUsed?n+"_"+ ++this.nodeNamesUsed[n]:(this.nodeNamesUsed[n]=0,n)}loadGeometries(e){const n=this,r=this.extensions,i=this.primitiveCache;function a(e){return r[ve.KHR_DRACO_MESH_COMPRESSION].decodePrimitive(e,n).then(function(t){return dt(t,e,n)})}const s=[];for(let r=0,o=e.length;r0&&st(d,a),d.name=n.createUniqueName(a.name||"mesh_"+e),at(d,a),h.extensions&&it(i,d,h),n.assignFinalMaterial(d),u.push(d)}for(let t=0,r=u.length;t0){const e=n.userData.pivot,i=r[0];n.pivot=(new t.Vector3).fromArray(e),n.position.x-=e[0],n.position.y-=e[1],n.position.z-=e[2],i.position.set(0,0,0),delete n.userData.pivot}return n})}_loadNodeShallow(e){const n=this.json,r=this.extensions,i=this;if(void 0!==this.nodeCache[e])return this.nodeCache[e];const a=n.nodes[e],s=a.name?i.createUniqueName(a.name):"",o=[],l=i._invokeOne(function(t){return t.createNodeMesh&&t.createNodeMesh(e)});return l&&o.push(l),void 0!==a.camera&&o.push(i.getDependency("camera",a.camera).then(function(e){return i._getNodeRef(i.cameraCache,a.camera,e)})),i._invokeAll(function(t){return t.createNodeAttachment&&t.createNodeAttachment(e)}).forEach(function(e){o.push(e)}),this.nodeCache[e]=Promise.all(o).then(function(n){let o;if(o=!0===a.isBone?new t.Bone:n.length>1?new t.Group:1===n.length?n[0]:new t.Object3D,o!==n[0])for(let e=0,t=n.length;e1){const e=i.associations.get(o);i.associations.set(o,{...e})}}else i.associations.set(o,{});return i.associations.get(o).nodes=e,o}),this.nodeCache[e]}loadScene(e){const n=this.extensions,r=this.json.scenes[e],i=this,a=new t.Group;r.name&&(a.name=i.createUniqueName(r.name)),at(a,r),r.extensions&&it(n,a,r);const s=r.nodes||[],o=[];for(let e=0,t=s.length;e{const n=new Map;for(const[e,r]of i.associations)(e instanceof t.Material||e instanceof t.Texture)&&n.set(e,r);return e.traverse(e=>{const t=i.associations.get(e);null!=t&&n.set(e,t)}),n})(a),a})}_createAnimationTracks(e,n,r,i,a){const s=[],o=e.name?e.name:e.uuid,l=[];function u(e){e.morphTargetInfluences&&l.push(e.name?e.name:e.uuid)}let c;switch(_e[a.path]===_e.weights?(u(e),e.isGroup&&e.children.forEach(u)):l.push(o),_e[a.path]){case _e.weights:c=t.NumberKeyframeTrack;break;case _e.rotation:c=t.QuaternionKeyframeTrack;break;case _e.translation:case _e.scale:c=t.VectorKeyframeTrack;break;default:if(1===r.itemSize)c=t.NumberKeyframeTrack;else c=t.VectorKeyframeTrack}const h=void 0!==i.interpolation?$e[i.interpolation]:t.InterpolateLinear,d=this._getArrayFromAccessor(r);for(let e=0,t=l.length;e{this.parse(e,n,i)},r,i)}parse(e,n,r=()=>{}){this.decodeDracoFile(e,n,null,null,t.SRGBColorSpace,r).catch(r)}decodeDracoFile(e,n,r,i,a=t.LinearSRGBColorSpace,s=()=>{}){const o={attributeIDs:r||this.defaultAttributeIDs,attributeTypes:i||this.defaultAttributeTypes,useUniqueIDs:!!r,vertexColorSpace:a};return this.decodeGeometry(e,o).then(n).catch(s)}decodeGeometry(e,t){const n=JSON.stringify(t);if(ft.has(e)){const t=ft.get(e);if(t.key===n)return t.promise;if(0===e.byteLength)throw new Error("THREE.DRACOLoader: Unable to re-decode a buffer with different settings. Buffer has already been transferred.")}let r;const i=this.workerNextTaskID++,a=e.byteLength,s=this._getWorker(i,a).then(n=>(r=n,new Promise((n,a)=>{r._callbacks[i]={resolve:n,reject:a},r.postMessage({type:"decode",id:i,taskConfig:t,buffer:e},[e])}))).then(e=>this._createGeometry(e.geometry));return s.catch(()=>!0).then(()=>{r&&i&&this._releaseTask(r,i)}),ft.set(e,{key:n,promise:s}),s}_createGeometry(e){const n=new t.BufferGeometry;e.index&&n.setIndex(new t.BufferAttribute(e.index.array,1));for(let r=0;r{r.load(e,t,void 0,n)})}preload(){return this._initDecoder(),this}_initDecoder(){if(this.decoderPending)return this.decoderPending;const e="object"!=typeof WebAssembly||"js"===this.decoderConfig.type,t=[],{decoderPaths:n}=this;if(e){if(null===n.dep_js)throw new Error("THREE.DRACOLoader: WebAssembly is required when using a custom decoder paths.");t.push(this._loadLibrary(n.dep_js,"text"))}else t.push(this._loadLibrary(n.js,"text")),t.push(this._loadLibrary(n.wasm,"arraybuffer"));return this.decoderPending=Promise.all(t).then(t=>{const n=t[0];e||(this.decoderConfig.wasmBinary=t[1]);const r=xt.toString(),i=["/* draco decoder */",n,"","/* worker */",r.substring(r.indexOf("{")+1,r.lastIndexOf("}"))].join("\n");this.workerSourceURL=URL.createObjectURL(new Blob([i]))}),this.decoderPending}_getWorker(e,t){return this._initDecoder().then(()=>{if(this.workerPool.lengtht._taskLoad?-1:1});const n=this.workerPool[this.workerPool.length-1];return n._taskCosts[e]=t,n._taskLoad+=t,n})}_releaseTask(e,t){e._taskLoad-=e._taskCosts[t],delete e._callbacks[t],delete e._taskCosts[t]}debug(){console.log("Task load: ",this.workerPool.map(e=>e._taskLoad))}dispose(){for(let e=0;e{const t=e.draco,s=new t.Decoder;try{const e=function(e,t,r,i){const a=i.attributeIDs,s=i.attributeTypes;let o,l;const u=t.GetEncodedGeometryType(r);if(u===e.TRIANGULAR_MESH)o=new e.Mesh,l=t.DecodeArrayToMesh(r,r.byteLength,o);else{if(u!==e.POINT_CLOUD)throw new Error("THREE.DRACOLoader: Unexpected geometry type.");o=new e.PointCloud,l=t.DecodeArrayToPointCloud(r,r.byteLength,o)}if(!l.ok()||0===o.ptr)throw new Error("THREE.DRACOLoader: Decoding failed: "+l.error_msg());const c={index:null,attributes:[]};for(const r in a){const l=self[s[r]];let u,h;if(i.useUniqueIDs)h=a[r],u=t.GetAttributeByUniqueId(o,h);else{if(h=t.GetAttributeId(o,e[a[r]]),-1===h)continue;u=t.GetAttribute(o,h)}const d=n(e,t,o,r,l,u);"color"===r&&(d.vertexColorSpace=i.vertexColorSpace),c.attributes.push(d)}u===e.TRIANGULAR_MESH&&(c.index=function(e,t,n){const r=n.num_faces(),i=3*r,a=4*i,s=e._malloc(a);t.GetTrianglesUInt32Array(n,a,s);const o=new Uint32Array(e.HEAPF32.buffer,s,i).slice();return e._free(s),{array:o,itemSize:1}}(e,t,o));return e.destroy(o),c}(t,s,new Int8Array(r),a),o=e.attributes.map(e=>e.array.buffer);e.index&&o.push(e.index.array.buffer),self.postMessage({type:"decode",id:i.id,geometry:e},o)}catch(e){console.error(e),self.postMessage({type:"error",id:i.id,error:e.message})}finally{t.destroy(s)}})}}}const Tt=new t.Raycaster,St=new t.Vector3,wt=new t.Vector3,yt=new t.Quaternion,bt={X:new t.Vector3(1,0,0),Y:new t.Vector3(0,1,0),Z:new t.Vector3(0,0,1)},Mt={type:"change"},Dt={type:"mouseDown",mode:null},At={type:"mouseUp",mode:null},Ct={type:"objectChange"};class Rt extends t.Controls{constructor(e,n=null){super(void 0,n);const r=new Zt(this);this._root=r;const i=new qt;this._gizmo=i,r.add(i);const a=new Jt;this._plane=a,r.add(a);const s=this;function o(e,t){let n=t;Object.defineProperty(s,e,{get:function(){return void 0!==n?n:t},set:function(t){n!==t&&(n=t,a[e]=t,i[e]=t,s.dispatchEvent({type:e+"-changed",value:t}),s.dispatchEvent(Mt))}}),s[e]=t,a[e]=t,i[e]=t}o("camera",e),o("object",void 0),o("enabled",!0),o("axis",null),o("mode","translate"),o("translationSnap",null),o("rotationSnap",null),o("scaleSnap",null),o("space","world"),o("size",1),this.viewport=null,o("dragging",!1),o("showX",!0),o("showY",!0),o("showZ",!0),o("showXY",!0),o("showYZ",!0),o("showXZ",!0),o("showXYZE",!0),o("showE",!0),o("minX",-1/0),o("maxX",1/0),o("minY",-1/0),o("maxY",1/0),o("minZ",-1/0),o("maxZ",1/0);const l=new t.Vector3,u=new t.Vector3,c=new t.Quaternion,h=new t.Quaternion,d=new t.Vector3,f=new t.Quaternion,p=new t.Vector3,m=new t.Vector3,g=new t.Vector3,v=new t.Vector3;o("worldPosition",l),o("worldPositionStart",u),o("worldQuaternion",c),o("worldQuaternionStart",h),o("cameraPosition",d),o("cameraQuaternion",f),o("pointStart",p),o("pointEnd",m),o("rotationAxis",g),o("rotationAngle",0),o("eye",v),this._offset=new t.Vector3,this._startNorm=new t.Vector3,this._endNorm=new t.Vector3,this._cameraScale=new t.Vector3,this._parentPosition=new t.Vector3,this._parentQuaternion=new t.Quaternion,this._parentQuaternionInv=new t.Quaternion,this._parentScale=new t.Vector3,this._worldScaleStart=new t.Vector3,this._worldQuaternionInv=new t.Quaternion,this._worldScale=new t.Vector3,this._positionStart=new t.Vector3,this._quaternionStart=new t.Quaternion,this._scaleStart=new t.Vector3,this._getPointer=Pt.bind(this),this._onPointerDown=Lt.bind(this),this._onPointerHover=Et.bind(this),this._onPointerMove=Bt.bind(this),this._onPointerUp=Ft.bind(this),null!==n&&this.connect(n)}connect(e){super.connect(e),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointermove",this._onPointerHover),this.domElement.addEventListener("pointerup",this._onPointerUp),this.domElement.style.touchAction="none"}disconnect(){this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.removeEventListener("pointermove",this._onPointerHover),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.domElement.removeEventListener("pointerup",this._onPointerUp),this.domElement.style.touchAction=""}getHelper(){return this._root}pointerHover(e){if(void 0===this.object||!0===this.dragging)return;null!==e&&Tt.setFromCamera(e,this.camera);const t=Nt(this._gizmo.picker[this.mode],Tt);this.axis=t?t.object.name:null}pointerDown(e){if(void 0!==this.object&&!0!==this.dragging&&(null==e||0===e.button)&&null!==this.axis){null!==e&&Tt.setFromCamera(e,this.camera);const t=Nt(this._plane,Tt,!0);t&&(this.object.updateMatrixWorld(),this.object.parent.updateMatrixWorld(),this._positionStart.copy(this.object.position),this._quaternionStart.copy(this.object.quaternion),this._scaleStart.copy(this.object.scale),this.object.matrixWorld.decompose(this.worldPositionStart,this.worldQuaternionStart,this._worldScaleStart),this.pointStart.copy(t.point).sub(this.worldPositionStart)),this.dragging=!0,Dt.mode=this.mode,this.dispatchEvent(Dt)}}pointerMove(e){const t=this.axis,n=this.mode,r=this.object;let i=this.space;if("scale"===n?i="local":"E"!==t&&"XYZE"!==t&&"XYZ"!==t||(i="world"),void 0===r||null===t||!1===this.dragging||null!==e&&-1!==e.button)return;null!==e&&Tt.setFromCamera(e,this.camera);const a=Nt(this._plane,Tt,!0);if(a){if(this.pointEnd.copy(a.point).sub(this.worldPositionStart),"translate"===n)this._offset.copy(this.pointEnd).sub(this.pointStart),"local"===i&&"XYZ"!==t&&this._offset.applyQuaternion(this._worldQuaternionInv),-1===t.indexOf("X")&&(this._offset.x=0),-1===t.indexOf("Y")&&(this._offset.y=0),-1===t.indexOf("Z")&&(this._offset.z=0),"local"===i&&"XYZ"!==t?this._offset.applyQuaternion(this._quaternionStart).divide(this._parentScale):this._offset.applyQuaternion(this._parentQuaternionInv).divide(this._parentScale),r.position.copy(this._offset).add(this._positionStart),this.translationSnap&&("local"===i&&(r.position.applyQuaternion(yt.copy(this._quaternionStart).invert()),-1!==t.search("X")&&(r.position.x=Math.round(r.position.x/this.translationSnap)*this.translationSnap),-1!==t.search("Y")&&(r.position.y=Math.round(r.position.y/this.translationSnap)*this.translationSnap),-1!==t.search("Z")&&(r.position.z=Math.round(r.position.z/this.translationSnap)*this.translationSnap),r.position.applyQuaternion(this._quaternionStart)),"world"===i&&(r.getWorldPosition(St),-1!==t.search("X")&&(St.x=Math.round(St.x/this.translationSnap)*this.translationSnap),-1!==t.search("Y")&&(St.y=Math.round(St.y/this.translationSnap)*this.translationSnap),-1!==t.search("Z")&&(St.z=Math.round(St.z/this.translationSnap)*this.translationSnap),r.position.copy(r.parent.worldToLocal(St)))),r.position.x=Math.max(this.minX,Math.min(this.maxX,r.position.x)),r.position.y=Math.max(this.minY,Math.min(this.maxY,r.position.y)),r.position.z=Math.max(this.minZ,Math.min(this.maxZ,r.position.z));else if("scale"===n){if(-1!==t.search("XYZ")){let e=this.pointEnd.length()/this.pointStart.length();this.pointEnd.dot(this.pointStart)<0&&(e*=-1),wt.set(e,e,e)}else St.copy(this.pointStart),wt.copy(this.pointEnd),St.applyQuaternion(this._worldQuaternionInv),wt.applyQuaternion(this._worldQuaternionInv),wt.divide(St),-1===t.search("X")&&(wt.x=1),-1===t.search("Y")&&(wt.y=1),-1===t.search("Z")&&(wt.z=1);r.scale.copy(this._scaleStart).multiply(wt),this.scaleSnap&&(-1!==t.search("X")&&(r.scale.x=Math.round(r.scale.x/this.scaleSnap)*this.scaleSnap||this.scaleSnap),-1!==t.search("Y")&&(r.scale.y=Math.round(r.scale.y/this.scaleSnap)*this.scaleSnap||this.scaleSnap),-1!==t.search("Z")&&(r.scale.z=Math.round(r.scale.z/this.scaleSnap)*this.scaleSnap||this.scaleSnap))}else if("rotate"===n){this._offset.copy(this.pointEnd).sub(this.pointStart);const e=20/this.worldPosition.distanceTo(St.setFromMatrixPosition(this.camera.matrixWorld));let n=!1;"XYZE"===t?(this.rotationAxis.copy(this._offset).cross(this.eye).normalize(),this.rotationAngle=this._offset.dot(St.copy(this.rotationAxis).cross(this.eye))*e):"X"!==t&&"Y"!==t&&"Z"!==t||(this.rotationAxis.copy(bt[t]),St.copy(bt[t]),"local"===i&&St.applyQuaternion(this.worldQuaternion),St.cross(this.eye),0===St.length()?n=!0:this.rotationAngle=this._offset.dot(St.normalize())*e),("E"===t||n)&&(this.rotationAxis.copy(this.eye),this.rotationAngle=this.pointEnd.angleTo(this.pointStart),this._startNorm.copy(this.pointStart).normalize(),this._endNorm.copy(this.pointEnd).normalize(),this.rotationAngle*=this._endNorm.cross(this._startNorm).dot(this.eye)<0?1:-1),this.rotationSnap&&(this.rotationAngle=Math.round(this.rotationAngle/this.rotationSnap)*this.rotationSnap),"local"===i&&"E"!==t&&"XYZE"!==t?(r.quaternion.copy(this._quaternionStart),r.quaternion.multiply(yt.setFromAxisAngle(this.rotationAxis,this.rotationAngle)).normalize()):(this.rotationAxis.applyQuaternion(this._parentQuaternionInv),r.quaternion.copy(yt.setFromAxisAngle(this.rotationAxis,this.rotationAngle)),r.quaternion.multiply(this._quaternionStart).normalize())}this.dispatchEvent(Mt),this.dispatchEvent(Ct)}}pointerUp(e){null!==e&&0!==e.button||(this.dragging&&null!==this.axis&&(At.mode=this.mode,this.dispatchEvent(At)),this.dragging=!1,this.axis=null)}dispose(){this.disconnect(),this._root.dispose()}attach(e){return this.object=e,this._root.visible=!0,this}detach(){return this.object=void 0,this.axis=null,this._root.visible=!1,this}reset(){this.enabled&&this.dragging&&(this.object.position.copy(this._positionStart),this.object.quaternion.copy(this._quaternionStart),this.object.scale.copy(this._scaleStart),this.dispatchEvent(Mt),this.dispatchEvent(Ct),this.pointStart.copy(this.pointEnd))}getRaycaster(){return Tt}getMode(){return this.mode}setMode(e){this.mode=e}setTranslationSnap(e){this.translationSnap=e}setRotationSnap(e){this.rotationSnap=e}setScaleSnap(e){this.scaleSnap=e}setSize(e){this.size=e}setSpace(e){this.space=e}setColors(e,t,n,r){const i=this._gizmo.materialLib;i.xAxis.color.set(e),i.yAxis.color.set(t),i.zAxis.color.set(n),i.active.color.set(r),i.xAxisTransparent.color.set(e),i.yAxisTransparent.color.set(t),i.zAxisTransparent.color.set(n),i.activeTransparent.color.set(r),i.xAxis._color&&i.xAxis._color.set(e),i.yAxis._color&&i.yAxis._color.set(t),i.zAxis._color&&i.zAxis._color.set(n),i.active._color&&i.active._color.set(r),i.xAxisTransparent._color&&i.xAxisTransparent._color.set(e),i.yAxisTransparent._color&&i.yAxisTransparent._color.set(t),i.zAxisTransparent._color&&i.zAxisTransparent._color.set(n),i.activeTransparent._color&&i.activeTransparent._color.set(r)}}function Pt(e){if(this.domElement.ownerDocument.pointerLockElement)return{x:0,y:0,button:e.button};{const t=this.domElement.getBoundingClientRect(),n=this.viewport;let r,i,a,s;return null!==n?(r=n.x,i=t.height-n.y-n.w,a=n.z,s=n.w):(r=0,i=0,a=t.width,s=t.height),{x:(e.clientX-t.left-r)/a*2-1,y:-(e.clientY-t.top-i)/s*2+1,button:e.button}}}function Et(e){if(this.enabled)switch(e.pointerType){case"mouse":case"pen":this.pointerHover(this._getPointer(e))}}function Lt(e){this.enabled&&(document.pointerLockElement||this.domElement.setPointerCapture(e.pointerId),this.domElement.addEventListener("pointermove",this._onPointerMove),this.pointerHover(this._getPointer(e)),this.pointerDown(this._getPointer(e)))}function Bt(e){this.enabled&&this.pointerMove(this._getPointer(e))}function Ft(e){this.enabled&&(this.domElement.releasePointerCapture(e.pointerId),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.pointerUp(this._getPointer(e)))}function Nt(e,t,n){const r=t.intersectObject(e,!0);for(let e=0;ee&&(r.scale.set(1e-10,1e-10,1e-10),r.visible=!1),"Y"===r.name&&Math.abs(It.copy(jt).applyQuaternion(t).dot(this.eye))>e&&(r.scale.set(1e-10,1e-10,1e-10),r.visible=!1),"Z"===r.name&&Math.abs(It.copy(Qt).applyQuaternion(t).dot(this.eye))>e&&(r.scale.set(1e-10,1e-10,1e-10),r.visible=!1),"XY"===r.name&&Math.abs(It.copy(Qt).applyQuaternion(t).dot(this.eye)).9&&(r.visible=!1)),"Y"===this.axis&&(yt.setFromEuler(Ot.set(0,0,Math.PI/2)),r.quaternion.copy(t).multiply(yt),Math.abs(It.copy(jt).applyQuaternion(t).dot(this.eye))>.9&&(r.visible=!1)),"Z"===this.axis&&(yt.setFromEuler(Ot.set(0,Math.PI/2,0)),r.quaternion.copy(t).multiply(yt),Math.abs(It.copy(Qt).applyQuaternion(t).dot(this.eye))>.9&&(r.visible=!1)),"XYZE"===this.axis&&(yt.setFromEuler(Ot.set(0,Math.PI/2,0)),It.copy(this.rotationAxis),r.quaternion.setFromRotationMatrix(Ut.lookAt(zt,It,jt)),r.quaternion.multiply(yt),r.visible=this.dragging),"E"===this.axis&&(r.visible=!1)):"START"===r.name?(r.position.copy(this.worldPositionStart),r.visible=this.dragging):"END"===r.name?(r.position.copy(this.worldPosition),r.visible=this.dragging):"DELTA"===r.name?(r.position.copy(this.worldPositionStart),r.quaternion.copy(this.worldQuaternionStart),St.set(1e-10,1e-10,1e-10).add(this.worldPositionStart).sub(this.worldPosition).multiplyScalar(-1),St.applyQuaternion(this.worldQuaternionStart.clone().invert()),r.scale.copy(St),r.visible=this.dragging):(r.quaternion.copy(t),this.dragging?r.position.copy(this.worldPositionStart):r.position.copy(this.worldPosition),this.axis&&(r.visible=-1!==this.axis.search(r.name)))}super.updateMatrixWorld(e)}}class Jt extends t.Mesh{constructor(){super(new t.PlaneGeometry(1e5,1e5,2,2),new t.MeshBasicMaterial({visible:!1,wireframe:!0,side:t.DoubleSide,transparent:!0,opacity:.1,toneMapped:!1})),this.isTransformControlsPlane=!0,this.type="TransformControlsPlane"}updateMatrixWorld(e){let t=this.space;switch(this.position.copy(this.worldPosition),"scale"===this.mode&&(t="local"),Xt.copy(Gt).applyQuaternion("local"===t?this.worldQuaternion:Wt),Yt.copy(jt).applyQuaternion("local"===t?this.worldQuaternion:Wt),Kt.copy(Qt).applyQuaternion("local"===t?this.worldQuaternion:Wt),It.copy(Yt),this.mode){case"translate":case"scale":switch(this.axis){case"X":It.copy(this.eye).cross(Xt),kt.copy(Xt).cross(It);break;case"Y":It.copy(this.eye).cross(Yt),kt.copy(Yt).cross(It);break;case"Z":It.copy(this.eye).cross(Kt),kt.copy(Kt).cross(It);break;case"XY":kt.copy(Kt);break;case"YZ":kt.copy(Xt);break;case"XZ":It.copy(Kt),kt.copy(Yt);break;case"XYZ":case"E":kt.set(0,0,0)}break;default:kt.set(0,0,0)}0===kt.length()?this.quaternion.copy(this.cameraQuaternion):(Vt.lookAt(St.set(0,0,0),kt,It),this.quaternion.setFromRotationMatrix(Vt)),super.updateMatrixWorld(e)}}const _t=new t.Frustum,$t=new t.Vector3,en=new t.Vector3,tn=new t.Vector3,nn=new t.Vector3,rn=new t.Vector3,an=new t.Vector3,sn=new t.Vector3,on=new t.Vector3,ln=new t.Vector3,un=new t.Vector3,cn=new t.Vector3,hn=new t.Vector3,dn=new t.Vector3,fn=new t.Vector3,pn=new t.Matrix4,mn=new t.Quaternion,gn=new t.Vector3;class vn extends q{constructor(e,n="tDiffuse"){super(),this.textureID=n,this.uniforms=null,this.material=null,e instanceof t.ShaderMaterial?(this.uniforms=e.uniforms,this.material=e):e&&(this.uniforms=t.UniformsUtils.clone(e.uniforms),this.material=new t.ShaderMaterial({name:void 0!==e.name?e.name:"unspecified",defines:Object.assign({},e.defines),uniforms:this.uniforms,vertexShader:e.vertexShader,fragmentShader:e.fragmentShader})),this._fsQuad=new ee(this.material)}render(e,t,n){this.uniforms[this.textureID]&&(this.uniforms[this.textureID].value=n.texture),this._fsQuad.material=this.material,this.renderToScreen?(e.setRenderTarget(null),this._fsQuad.render(e)):(e.setRenderTarget(t),this.clear&&e.clear(e.autoClearColor,e.autoClearDepth,e.autoClearStencil),this._fsQuad.render(e))}dispose(){this.material.dispose(),this._fsQuad.dispose()}}class xn extends q{constructor(e,t){super(),this.scene=e,this.camera=t,this.clear=!0,this.needsSwap=!1,this.inverse=!1}render(e,t,n){const r=e.getContext(),i=e.state;let a,s;i.buffers.color.setMask(!1),i.buffers.depth.setMask(!1),i.buffers.color.setLocked(!0),i.buffers.depth.setLocked(!0),this.inverse?(a=0,s=1):(a=1,s=0),i.buffers.stencil.setTest(!0),i.buffers.stencil.setOp(r.REPLACE,r.REPLACE,r.REPLACE),i.buffers.stencil.setFunc(r.ALWAYS,a,4294967295),i.buffers.stencil.setClear(s),i.buffers.stencil.setLocked(!0),e.setRenderTarget(n),this.clear&&e.clear(),e.render(this.scene,this.camera),e.setRenderTarget(t),this.clear&&e.clear(),e.render(this.scene,this.camera),i.buffers.color.setLocked(!1),i.buffers.depth.setLocked(!1),i.buffers.color.setMask(!0),i.buffers.depth.setMask(!0),i.buffers.stencil.setLocked(!1),i.buffers.stencil.setFunc(r.EQUAL,1,4294967295),i.buffers.stencil.setOp(r.KEEP,r.KEEP,r.KEEP),i.buffers.stencil.setLocked(!0)}}class Tn extends q{constructor(){super(),this.needsSwap=!1}render(e){e.state.buffers.stencil.setLocked(!1),e.state.buffers.stencil.setTest(!1)}}class Sn extends q{constructor(e,n,r,i){super(),this.renderScene=n,this.renderCamera=r,this.selectedObjects=void 0!==i?i:[],this.visibleEdgeColor=new t.Color(1,1,1),this.hiddenEdgeColor=new t.Color(.1,.04,.02),this.edgeGlow=0,this.usePatternTexture=!1,this.patternTexture=null,this.edgeThickness=1,this.edgeStrength=3,this.downSampleRatio=2,this.pulsePeriod=0,this._visibilityCache=new Map,this._selectionCache=new Set,this.resolution=void 0!==e?new t.Vector2(e.x,e.y):new t.Vector2(256,256);const a=Math.round(this.resolution.x/this.downSampleRatio),s=Math.round(this.resolution.y/this.downSampleRatio);this.renderTargetMaskBuffer=new t.WebGLRenderTarget(this.resolution.x,this.resolution.y),this.renderTargetMaskBuffer.texture.name="OutlinePass.mask",this.renderTargetMaskBuffer.texture.generateMipmaps=!1,this.depthMaterial=new t.MeshDepthMaterial,this.depthMaterial.side=t.DoubleSide,this.depthMaterial.depthPacking=t.RGBADepthPacking,this.depthMaterial.blending=t.NoBlending,this.prepareMaskMaterial=this._getPrepareMaskMaterial(),this.prepareMaskMaterial.side=t.DoubleSide,this.prepareMaskMaterial.fragmentShader=function(e,t){const n=t.isPerspectiveCamera?"perspective":"orthographic";return e.replace(/DEPTH_TO_VIEW_Z/g,n+"DepthToViewZ")}(this.prepareMaskMaterial.fragmentShader,this.renderCamera),this.renderTargetDepthBuffer=new t.WebGLRenderTarget(this.resolution.x,this.resolution.y,{type:t.HalfFloatType}),this.renderTargetDepthBuffer.texture.name="OutlinePass.depth",this.renderTargetDepthBuffer.texture.generateMipmaps=!1,this.renderTargetMaskDownSampleBuffer=new t.WebGLRenderTarget(a,s,{type:t.HalfFloatType}),this.renderTargetMaskDownSampleBuffer.texture.name="OutlinePass.depthDownSample",this.renderTargetMaskDownSampleBuffer.texture.generateMipmaps=!1,this.renderTargetBlurBuffer1=new t.WebGLRenderTarget(a,s,{type:t.HalfFloatType}),this.renderTargetBlurBuffer1.texture.name="OutlinePass.blur1",this.renderTargetBlurBuffer1.texture.generateMipmaps=!1,this.renderTargetBlurBuffer2=new t.WebGLRenderTarget(Math.round(a/2),Math.round(s/2),{type:t.HalfFloatType}),this.renderTargetBlurBuffer2.texture.name="OutlinePass.blur2",this.renderTargetBlurBuffer2.texture.generateMipmaps=!1,this.edgeDetectionMaterial=this._getEdgeDetectionMaterial(),this.renderTargetEdgeBuffer1=new t.WebGLRenderTarget(a,s,{type:t.HalfFloatType}),this.renderTargetEdgeBuffer1.texture.name="OutlinePass.edge1",this.renderTargetEdgeBuffer1.texture.generateMipmaps=!1,this.renderTargetEdgeBuffer2=new t.WebGLRenderTarget(Math.round(a/2),Math.round(s/2),{type:t.HalfFloatType}),this.renderTargetEdgeBuffer2.texture.name="OutlinePass.edge2",this.renderTargetEdgeBuffer2.texture.generateMipmaps=!1;this.separableBlurMaterial1=this._getSeparableBlurMaterial(4),this.separableBlurMaterial1.uniforms.texSize.value.set(a,s),this.separableBlurMaterial1.uniforms.kernelRadius.value=1,this.separableBlurMaterial2=this._getSeparableBlurMaterial(4),this.separableBlurMaterial2.uniforms.texSize.value.set(Math.round(a/2),Math.round(s/2)),this.separableBlurMaterial2.uniforms.kernelRadius.value=4,this.overlayMaterial=this._getOverlayMaterial();const o=te;this.copyUniforms=t.UniformsUtils.clone(o.uniforms),this.materialCopy=new t.ShaderMaterial({uniforms:this.copyUniforms,vertexShader:o.vertexShader,fragmentShader:o.fragmentShader,blending:t.NoBlending,depthTest:!1,depthWrite:!1}),this.enabled=!0,this.needsSwap=!1,this._oldClearColor=new t.Color,this.oldClearAlpha=1,this._fsQuad=new ee(null),this.tempPulseColor1=new t.Color,this.tempPulseColor2=new t.Color,this.textureMatrix=new t.Matrix4}dispose(){this.renderTargetMaskBuffer.dispose(),this.renderTargetDepthBuffer.dispose(),this.renderTargetMaskDownSampleBuffer.dispose(),this.renderTargetBlurBuffer1.dispose(),this.renderTargetBlurBuffer2.dispose(),this.renderTargetEdgeBuffer1.dispose(),this.renderTargetEdgeBuffer2.dispose(),this.depthMaterial.dispose(),this.prepareMaskMaterial.dispose(),this.edgeDetectionMaterial.dispose(),this.separableBlurMaterial1.dispose(),this.separableBlurMaterial2.dispose(),this.overlayMaterial.dispose(),this.materialCopy.dispose(),this._fsQuad.dispose()}setSize(e,t){this.renderTargetMaskBuffer.setSize(e,t),this.renderTargetDepthBuffer.setSize(e,t);let n=Math.round(e/this.downSampleRatio),r=Math.round(t/this.downSampleRatio);this.renderTargetMaskDownSampleBuffer.setSize(n,r),this.renderTargetBlurBuffer1.setSize(n,r),this.renderTargetEdgeBuffer1.setSize(n,r),this.separableBlurMaterial1.uniforms.texSize.value.set(n,r),n=Math.round(n/2),r=Math.round(r/2),this.renderTargetBlurBuffer2.setSize(n,r),this.renderTargetEdgeBuffer2.setSize(n,r),this.separableBlurMaterial2.uniforms.texSize.value.set(n,r)}render(e,t,n,r,i){if(this.selectedObjects.length>0){e.getClearColor(this._oldClearColor),this.oldClearAlpha=e.getClearAlpha();const t=e.autoClear;e.autoClear=!1,i&&e.state.buffers.stencil.setTest(!1),e.setClearColor(16777215,1),this._updateSelectionCache(),this._changeVisibilityOfSelectedObjects(!1);const r=this.renderScene.background,a=this.renderScene.overrideMaterial;if(this.renderScene.background=null,this.renderScene.overrideMaterial=this.depthMaterial,e.setRenderTarget(this.renderTargetDepthBuffer),e.clear(),e.render(this.renderScene,this.renderCamera),this._changeVisibilityOfSelectedObjects(!0),this._visibilityCache.clear(),this._updateTextureMatrix(),this._changeVisibilityOfNonSelectedObjects(!1),this.renderScene.overrideMaterial=this.prepareMaskMaterial,this.prepareMaskMaterial.uniforms.cameraNearFar.value.set(this.renderCamera.near,this.renderCamera.far),this.prepareMaskMaterial.uniforms.depthTexture.value=this.renderTargetDepthBuffer.texture,this.prepareMaskMaterial.uniforms.textureMatrix.value=this.textureMatrix,e.setRenderTarget(this.renderTargetMaskBuffer),e.clear(),e.render(this.renderScene,this.renderCamera),this._changeVisibilityOfNonSelectedObjects(!0),this._visibilityCache.clear(),this._selectionCache.clear(),this.renderScene.background=r,this.renderScene.overrideMaterial=a,this._fsQuad.material=this.materialCopy,this.copyUniforms.tDiffuse.value=this.renderTargetMaskBuffer.texture,e.setRenderTarget(this.renderTargetMaskDownSampleBuffer),e.clear(),this._fsQuad.render(e),this.tempPulseColor1.copy(this.visibleEdgeColor),this.tempPulseColor2.copy(this.hiddenEdgeColor),this.pulsePeriod>0){const e=.625+.75*Math.cos(.01*performance.now()/this.pulsePeriod)/2;this.tempPulseColor1.multiplyScalar(e),this.tempPulseColor2.multiplyScalar(e)}this._fsQuad.material=this.edgeDetectionMaterial,this.edgeDetectionMaterial.uniforms.maskTexture.value=this.renderTargetMaskDownSampleBuffer.texture,this.edgeDetectionMaterial.uniforms.texSize.value.set(this.renderTargetMaskDownSampleBuffer.width,this.renderTargetMaskDownSampleBuffer.height),this.edgeDetectionMaterial.uniforms.visibleEdgeColor.value=this.tempPulseColor1,this.edgeDetectionMaterial.uniforms.hiddenEdgeColor.value=this.tempPulseColor2,e.setRenderTarget(this.renderTargetEdgeBuffer1),e.clear(),this._fsQuad.render(e),this._fsQuad.material=this.separableBlurMaterial1,this.separableBlurMaterial1.uniforms.colorTexture.value=this.renderTargetEdgeBuffer1.texture,this.separableBlurMaterial1.uniforms.direction.value=Sn.BlurDirectionX,this.separableBlurMaterial1.uniforms.kernelRadius.value=this.edgeThickness,e.setRenderTarget(this.renderTargetBlurBuffer1),e.clear(),this._fsQuad.render(e),this.separableBlurMaterial1.uniforms.colorTexture.value=this.renderTargetBlurBuffer1.texture,this.separableBlurMaterial1.uniforms.direction.value=Sn.BlurDirectionY,e.setRenderTarget(this.renderTargetEdgeBuffer1),e.clear(),this._fsQuad.render(e),this._fsQuad.material=this.separableBlurMaterial2,this.separableBlurMaterial2.uniforms.colorTexture.value=this.renderTargetEdgeBuffer1.texture,this.separableBlurMaterial2.uniforms.direction.value=Sn.BlurDirectionX,e.setRenderTarget(this.renderTargetBlurBuffer2),e.clear(),this._fsQuad.render(e),this.separableBlurMaterial2.uniforms.colorTexture.value=this.renderTargetBlurBuffer2.texture,this.separableBlurMaterial2.uniforms.direction.value=Sn.BlurDirectionY,e.setRenderTarget(this.renderTargetEdgeBuffer2),e.clear(),this._fsQuad.render(e),this._fsQuad.material=this.overlayMaterial,this.overlayMaterial.uniforms.maskTexture.value=this.renderTargetMaskBuffer.texture,this.overlayMaterial.uniforms.edgeTexture1.value=this.renderTargetEdgeBuffer1.texture,this.overlayMaterial.uniforms.edgeTexture2.value=this.renderTargetEdgeBuffer2.texture,this.overlayMaterial.uniforms.patternTexture.value=this.patternTexture,this.overlayMaterial.uniforms.edgeStrength.value=this.edgeStrength,this.overlayMaterial.uniforms.edgeGlow.value=this.edgeGlow,this.overlayMaterial.uniforms.usePatternTexture.value=this.usePatternTexture,i&&e.state.buffers.stencil.setTest(!0),e.setRenderTarget(n),this._fsQuad.render(e),e.setClearColor(this._oldClearColor,this.oldClearAlpha),e.autoClear=t}this.renderToScreen&&(this._fsQuad.material=this.materialCopy,this.copyUniforms.tDiffuse.value=n.texture,e.setRenderTarget(null),this._fsQuad.render(e))}_updateSelectionCache(){const e=this._selectionCache;function t(t){t.isMesh&&e.add(t)}e.clear();for(let e=0;e\n\t\t\t\t#include \n\t\t\t\t#include \n\n\t\t\t\tvarying vec4 projTexCoord;\n\t\t\t\tvarying vec4 vPosition;\n\t\t\t\tuniform mat4 textureMatrix;\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\t\t\t\t\t#include \n\n\t\t\t\t\tvPosition = mvPosition;\n\n\t\t\t\t\tvec4 worldPosition = vec4( transformed, 1.0 );\n\n\t\t\t\t\t#ifdef USE_INSTANCING\n\n\t\t\t\t\t\tworldPosition = instanceMatrix * worldPosition;\n\n\t\t\t\t\t#endif\n\n\t\t\t\t\tworldPosition = modelMatrix * worldPosition;\n\n\t\t\t\t\tprojTexCoord = textureMatrix * worldPosition;\n\n\t\t\t\t}",fragmentShader:"#include \n\t\t\t\tvarying vec4 vPosition;\n\t\t\t\tvarying vec4 projTexCoord;\n\t\t\t\tuniform sampler2D depthTexture;\n\t\t\t\tuniform vec2 cameraNearFar;\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tfloat depth = unpackRGBAToDepth(texture2DProj( depthTexture, projTexCoord ));\n\t\t\t\t\tfloat viewZ = - DEPTH_TO_VIEW_Z( depth, cameraNearFar.x, cameraNearFar.y );\n\t\t\t\t\tfloat depthTest = (-vPosition.z > viewZ) ? 1.0 : 0.0;\n\t\t\t\t\tgl_FragColor = vec4(0.0, depthTest, 1.0, 1.0);\n\n\t\t\t\t}"})}_getEdgeDetectionMaterial(){return new t.ShaderMaterial({uniforms:{maskTexture:{value:null},texSize:{value:new t.Vector2(.5,.5)},visibleEdgeColor:{value:new t.Vector3(1,1,1)},hiddenEdgeColor:{value:new t.Vector3(1,1,1)}},vertexShader:"varying vec2 vUv;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvUv = uv;\n\t\t\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\t\t\t\t}",fragmentShader:"varying vec2 vUv;\n\n\t\t\t\tuniform sampler2D maskTexture;\n\t\t\t\tuniform vec2 texSize;\n\t\t\t\tuniform vec3 visibleEdgeColor;\n\t\t\t\tuniform vec3 hiddenEdgeColor;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec2 invSize = 1.0 / texSize;\n\t\t\t\t\tvec4 uvOffset = vec4(1.0, 0.0, 0.0, 1.0) * vec4(invSize, invSize);\n\t\t\t\t\tvec4 c1 = texture2D( maskTexture, vUv + uvOffset.xy);\n\t\t\t\t\tvec4 c2 = texture2D( maskTexture, vUv - uvOffset.xy);\n\t\t\t\t\tvec4 c3 = texture2D( maskTexture, vUv + uvOffset.yw);\n\t\t\t\t\tvec4 c4 = texture2D( maskTexture, vUv - uvOffset.yw);\n\t\t\t\t\tfloat diff1 = (c1.r - c2.r)*0.5;\n\t\t\t\t\tfloat diff2 = (c3.r - c4.r)*0.5;\n\t\t\t\t\tfloat d = length( vec2(diff1, diff2) );\n\t\t\t\t\tfloat a1 = min(c1.g, c2.g);\n\t\t\t\t\tfloat a2 = min(c3.g, c4.g);\n\t\t\t\t\tfloat visibilityFactor = min(a1, a2);\n\t\t\t\t\tvec3 edgeColor = 1.0 - visibilityFactor > 0.001 ? visibleEdgeColor : hiddenEdgeColor;\n\t\t\t\t\tgl_FragColor = vec4(edgeColor, 1.0) * vec4(d);\n\t\t\t\t}"})}_getSeparableBlurMaterial(e){return new t.ShaderMaterial({defines:{MAX_RADIUS:e},uniforms:{colorTexture:{value:null},texSize:{value:new t.Vector2(.5,.5)},direction:{value:new t.Vector2(.5,.5)},kernelRadius:{value:1}},vertexShader:"varying vec2 vUv;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvUv = uv;\n\t\t\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\t\t\t\t}",fragmentShader:"#include \n\t\t\t\tvarying vec2 vUv;\n\t\t\t\tuniform sampler2D colorTexture;\n\t\t\t\tuniform vec2 texSize;\n\t\t\t\tuniform vec2 direction;\n\t\t\t\tuniform float kernelRadius;\n\n\t\t\t\tfloat gaussianPdf(in float x, in float sigma) {\n\t\t\t\t\treturn 0.39894 * exp( -0.5 * x * x/( sigma * sigma))/sigma;\n\t\t\t\t}\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec2 invSize = 1.0 / texSize;\n\t\t\t\t\tfloat sigma = kernelRadius/2.0;\n\t\t\t\t\tfloat weightSum = gaussianPdf(0.0, sigma);\n\t\t\t\t\tvec4 diffuseSum = texture2D( colorTexture, vUv) * weightSum;\n\t\t\t\t\tvec2 delta = direction * invSize * kernelRadius/float(MAX_RADIUS);\n\t\t\t\t\tvec2 uvOffset = delta;\n\t\t\t\t\tfor( int i = 1; i <= MAX_RADIUS; i ++ ) {\n\t\t\t\t\t\tfloat x = kernelRadius * float(i) / float(MAX_RADIUS);\n\t\t\t\t\t\tfloat w = gaussianPdf(x, sigma);\n\t\t\t\t\t\tvec4 sample1 = texture2D( colorTexture, vUv + uvOffset);\n\t\t\t\t\t\tvec4 sample2 = texture2D( colorTexture, vUv - uvOffset);\n\t\t\t\t\t\tdiffuseSum += ((sample1 + sample2) * w);\n\t\t\t\t\t\tweightSum += (2.0 * w);\n\t\t\t\t\t\tuvOffset += delta;\n\t\t\t\t\t}\n\t\t\t\t\tgl_FragColor = diffuseSum/weightSum;\n\t\t\t\t}"})}_getOverlayMaterial(){return new t.ShaderMaterial({uniforms:{maskTexture:{value:null},edgeTexture1:{value:null},edgeTexture2:{value:null},patternTexture:{value:null},edgeStrength:{value:1},edgeGlow:{value:1},usePatternTexture:{value:0}},vertexShader:"varying vec2 vUv;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvUv = uv;\n\t\t\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\t\t\t\t}",fragmentShader:"varying vec2 vUv;\n\n\t\t\t\tuniform sampler2D maskTexture;\n\t\t\t\tuniform sampler2D edgeTexture1;\n\t\t\t\tuniform sampler2D edgeTexture2;\n\t\t\t\tuniform sampler2D patternTexture;\n\t\t\t\tuniform float edgeStrength;\n\t\t\t\tuniform float edgeGlow;\n\t\t\t\tuniform bool usePatternTexture;\n\n\t\t\t\tvoid main() {\n\t\t\t\t\tvec4 edgeValue1 = texture2D(edgeTexture1, vUv);\n\t\t\t\t\tvec4 edgeValue2 = texture2D(edgeTexture2, vUv);\n\t\t\t\t\tvec4 maskColor = texture2D(maskTexture, vUv);\n\t\t\t\t\tvec4 patternColor = texture2D(patternTexture, 6.0 * vUv);\n\t\t\t\t\tfloat visibilityFactor = 1.0 - maskColor.g > 0.0 ? 1.0 : 0.5;\n\t\t\t\t\tvec4 edgeValue = edgeValue1 + edgeValue2 * edgeGlow;\n\t\t\t\t\tvec4 finalColor = edgeStrength * maskColor.r * edgeValue;\n\t\t\t\t\tif(usePatternTexture)\n\t\t\t\t\t\tfinalColor += + visibilityFactor * (1.0 - maskColor.r) * (1.0 - patternColor.r);\n\t\t\t\t\tgl_FragColor = finalColor;\n\t\t\t\t}",blending:t.AdditiveBlending,depthTest:!1,depthWrite:!1,transparent:!0})}}Sn.BlurDirectionX=new t.Vector2(1,0),Sn.BlurDirectionY=new t.Vector2(0,1);const wn={name:"SMAAEdgesShader",defines:{SMAA_THRESHOLD:"0.1"},uniforms:{tDiffuse:{value:null},resolution:{value:new t.Vector2(1/1024,1/512)}},vertexShader:"\n\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 3 ];\n\n\t\tvoid SMAAEdgeDetectionVS( vec2 texcoord ) {\n\t\t\tvOffset[ 0 ] = texcoord.xyxy + resolution.xyxy * vec4( -1.0, 0.0, 0.0, 1.0 ); // WebGL port note: Changed sign in W component\n\t\t\tvOffset[ 1 ] = texcoord.xyxy + resolution.xyxy * vec4( 1.0, 0.0, 0.0, -1.0 ); // WebGL port note: Changed sign in W component\n\t\t\tvOffset[ 2 ] = texcoord.xyxy + resolution.xyxy * vec4( -2.0, 0.0, 0.0, 2.0 ); // WebGL port note: Changed sign in W component\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tSMAAEdgeDetectionVS( vUv );\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 3 ];\n\n\t\tvec4 SMAAColorEdgeDetectionPS( vec2 texcoord, vec4 offset[3], sampler2D colorTex ) {\n\t\t\tvec2 threshold = vec2( SMAA_THRESHOLD, SMAA_THRESHOLD );\n\n\t\t\t// Calculate color deltas:\n\t\t\tvec4 delta;\n\t\t\tvec3 C = texture2D( colorTex, texcoord ).rgb;\n\n\t\t\tvec3 Cleft = texture2D( colorTex, offset[0].xy ).rgb;\n\t\t\tvec3 t = abs( C - Cleft );\n\t\t\tdelta.x = max( max( t.r, t.g ), t.b );\n\n\t\t\tvec3 Ctop = texture2D( colorTex, offset[0].zw ).rgb;\n\t\t\tt = abs( C - Ctop );\n\t\t\tdelta.y = max( max( t.r, t.g ), t.b );\n\n\t\t\t// We do the usual threshold:\n\t\t\tvec2 edges = step( threshold, delta.xy );\n\n\t\t\t// Then discard if there is no edge:\n\t\t\tif ( dot( edges, vec2( 1.0, 1.0 ) ) == 0.0 )\n\t\t\t\tdiscard;\n\n\t\t\t// Calculate right and bottom deltas:\n\t\t\tvec3 Cright = texture2D( colorTex, offset[1].xy ).rgb;\n\t\t\tt = abs( C - Cright );\n\t\t\tdelta.z = max( max( t.r, t.g ), t.b );\n\n\t\t\tvec3 Cbottom = texture2D( colorTex, offset[1].zw ).rgb;\n\t\t\tt = abs( C - Cbottom );\n\t\t\tdelta.w = max( max( t.r, t.g ), t.b );\n\n\t\t\t// Calculate the maximum delta in the direct neighborhood:\n\t\t\tfloat maxDelta = max( max( max( delta.x, delta.y ), delta.z ), delta.w );\n\n\t\t\t// Calculate left-left and top-top deltas:\n\t\t\tvec3 Cleftleft = texture2D( colorTex, offset[2].xy ).rgb;\n\t\t\tt = abs( C - Cleftleft );\n\t\t\tdelta.z = max( max( t.r, t.g ), t.b );\n\n\t\t\tvec3 Ctoptop = texture2D( colorTex, offset[2].zw ).rgb;\n\t\t\tt = abs( C - Ctoptop );\n\t\t\tdelta.w = max( max( t.r, t.g ), t.b );\n\n\t\t\t// Calculate the final maximum delta:\n\t\t\tmaxDelta = max( max( maxDelta, delta.z ), delta.w );\n\n\t\t\t// Local contrast adaptation in action:\n\t\t\tedges.xy *= step( 0.5 * maxDelta, delta.xy );\n\n\t\t\treturn vec4( edges, 0.0, 0.0 );\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = SMAAColorEdgeDetectionPS( vUv, vOffset, tDiffuse );\n\n\t\t}"},yn={name:"SMAAWeightsShader",defines:{SMAA_MAX_SEARCH_STEPS:"8",SMAA_AREATEX_MAX_DISTANCE:"16",SMAA_AREATEX_PIXEL_SIZE:"( 1.0 / vec2( 160.0, 560.0 ) )",SMAA_AREATEX_SUBTEX_SIZE:"( 1.0 / 7.0 )"},uniforms:{tDiffuse:{value:null},tArea:{value:null},tSearch:{value:null},resolution:{value:new t.Vector2(1/1024,1/512)}},vertexShader:"\n\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 3 ];\n\t\tvarying vec2 vPixcoord;\n\n\t\tvoid SMAABlendingWeightCalculationVS( vec2 texcoord ) {\n\t\t\tvPixcoord = texcoord / resolution;\n\n\t\t\t// We will use these offsets for the searches later on (see @PSEUDO_GATHER4):\n\t\t\tvOffset[ 0 ] = texcoord.xyxy + resolution.xyxy * vec4( -0.25, 0.125, 1.25, 0.125 ); // WebGL port note: Changed sign in Y and W components\n\t\t\tvOffset[ 1 ] = texcoord.xyxy + resolution.xyxy * vec4( -0.125, 0.25, -0.125, -1.25 ); // WebGL port note: Changed sign in Y and W components\n\n\t\t\t// And these for the searches, they indicate the ends of the loops:\n\t\t\tvOffset[ 2 ] = vec4( vOffset[ 0 ].xz, vOffset[ 1 ].yw ) + vec4( -2.0, 2.0, -2.0, 2.0 ) * resolution.xxyy * float( SMAA_MAX_SEARCH_STEPS );\n\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tSMAABlendingWeightCalculationVS( vUv );\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\t#define SMAASampleLevelZeroOffset( tex, coord, offset ) texture2D( tex, coord + float( offset ) * resolution, 0.0 )\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform sampler2D tArea;\n\t\tuniform sampler2D tSearch;\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[3];\n\t\tvarying vec2 vPixcoord;\n\n\t\t#if __VERSION__ == 100\n\t\tvec2 round( vec2 x ) {\n\t\t\treturn sign( x ) * floor( abs( x ) + 0.5 );\n\t\t}\n\t\t#endif\n\n\t\tfloat SMAASearchLength( sampler2D searchTex, vec2 e, float bias, float scale ) {\n\t\t\t// Not required if searchTex accesses are set to point:\n\t\t\t// float2 SEARCH_TEX_PIXEL_SIZE = 1.0 / float2(66.0, 33.0);\n\t\t\t// e = float2(bias, 0.0) + 0.5 * SEARCH_TEX_PIXEL_SIZE +\n\t\t\t// e * float2(scale, 1.0) * float2(64.0, 32.0) * SEARCH_TEX_PIXEL_SIZE;\n\t\t\te.r = bias + e.r * scale;\n\t\t\treturn 255.0 * texture2D( searchTex, e, 0.0 ).r;\n\t\t}\n\n\t\tfloat SMAASearchXLeft( sampler2D edgesTex, sampler2D searchTex, vec2 texcoord, float end ) {\n\t\t\t/**\n\t\t\t\t* @PSEUDO_GATHER4\n\t\t\t\t* This texcoord has been offset by (-0.25, -0.125) in the vertex shader to\n\t\t\t\t* sample between edge, thus fetching four edges in a row.\n\t\t\t\t* Sampling with different offsets in each direction allows to disambiguate\n\t\t\t\t* which edges are active from the four fetched ones.\n\t\t\t\t*/\n\t\t\tvec2 e = vec2( 0.0, 1.0 );\n\n\t\t\tfor ( int i = 0; i < SMAA_MAX_SEARCH_STEPS; i ++ ) { // WebGL port note: Changed while to for\n\t\t\t\te = texture2D( edgesTex, texcoord, 0.0 ).rg;\n\t\t\t\ttexcoord -= vec2( 2.0, 0.0 ) * resolution;\n\t\t\t\tif ( ! ( texcoord.x > end && e.g > 0.8281 && e.r == 0.0 ) ) break;\n\t\t\t}\n\n\t\t\t// We correct the previous (-0.25, -0.125) offset we applied:\n\t\t\ttexcoord.x += 0.25 * resolution.x;\n\n\t\t\t// The searches are bias by 1, so adjust the coords accordingly:\n\t\t\ttexcoord.x += resolution.x;\n\n\t\t\t// Disambiguate the length added by the last step:\n\t\t\ttexcoord.x += 2.0 * resolution.x; // Undo last step\n\t\t\ttexcoord.x -= resolution.x * SMAASearchLength(searchTex, e, 0.0, 0.5);\n\n\t\t\treturn texcoord.x;\n\t\t}\n\n\t\tfloat SMAASearchXRight( sampler2D edgesTex, sampler2D searchTex, vec2 texcoord, float end ) {\n\t\t\tvec2 e = vec2( 0.0, 1.0 );\n\n\t\t\tfor ( int i = 0; i < SMAA_MAX_SEARCH_STEPS; i ++ ) { // WebGL port note: Changed while to for\n\t\t\t\te = texture2D( edgesTex, texcoord, 0.0 ).rg;\n\t\t\t\ttexcoord += vec2( 2.0, 0.0 ) * resolution;\n\t\t\t\tif ( ! ( texcoord.x < end && e.g > 0.8281 && e.r == 0.0 ) ) break;\n\t\t\t}\n\n\t\t\ttexcoord.x -= 0.25 * resolution.x;\n\t\t\ttexcoord.x -= resolution.x;\n\t\t\ttexcoord.x -= 2.0 * resolution.x;\n\t\t\ttexcoord.x += resolution.x * SMAASearchLength( searchTex, e, 0.5, 0.5 );\n\n\t\t\treturn texcoord.x;\n\t\t}\n\n\t\tfloat SMAASearchYUp( sampler2D edgesTex, sampler2D searchTex, vec2 texcoord, float end ) {\n\t\t\tvec2 e = vec2( 1.0, 0.0 );\n\n\t\t\tfor ( int i = 0; i < SMAA_MAX_SEARCH_STEPS; i ++ ) { // WebGL port note: Changed while to for\n\t\t\t\te = texture2D( edgesTex, texcoord, 0.0 ).rg;\n\t\t\t\ttexcoord += vec2( 0.0, 2.0 ) * resolution; // WebGL port note: Changed sign\n\t\t\t\tif ( ! ( texcoord.y > end && e.r > 0.8281 && e.g == 0.0 ) ) break;\n\t\t\t}\n\n\t\t\ttexcoord.y -= 0.25 * resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y -= resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y -= 2.0 * resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y += resolution.y * SMAASearchLength( searchTex, e.gr, 0.0, 0.5 ); // WebGL port note: Changed sign\n\n\t\t\treturn texcoord.y;\n\t\t}\n\n\t\tfloat SMAASearchYDown( sampler2D edgesTex, sampler2D searchTex, vec2 texcoord, float end ) {\n\t\t\tvec2 e = vec2( 1.0, 0.0 );\n\n\t\t\tfor ( int i = 0; i < SMAA_MAX_SEARCH_STEPS; i ++ ) { // WebGL port note: Changed while to for\n\t\t\t\te = texture2D( edgesTex, texcoord, 0.0 ).rg;\n\t\t\t\ttexcoord -= vec2( 0.0, 2.0 ) * resolution; // WebGL port note: Changed sign\n\t\t\t\tif ( ! ( texcoord.y < end && e.r > 0.8281 && e.g == 0.0 ) ) break;\n\t\t\t}\n\n\t\t\ttexcoord.y += 0.25 * resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y += resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y += 2.0 * resolution.y; // WebGL port note: Changed sign\n\t\t\ttexcoord.y -= resolution.y * SMAASearchLength( searchTex, e.gr, 0.5, 0.5 ); // WebGL port note: Changed sign\n\n\t\t\treturn texcoord.y;\n\t\t}\n\n\t\tvec2 SMAAArea( sampler2D areaTex, vec2 dist, float e1, float e2, float offset ) {\n\t\t\t// Rounding prevents precision errors of bilinear filtering:\n\t\t\tvec2 texcoord = float( SMAA_AREATEX_MAX_DISTANCE ) * round( 4.0 * vec2( e1, e2 ) ) + dist;\n\n\t\t\t// We do a scale and bias for mapping to texel space:\n\t\t\ttexcoord = SMAA_AREATEX_PIXEL_SIZE * texcoord + ( 0.5 * SMAA_AREATEX_PIXEL_SIZE );\n\n\t\t\t// Move to proper place, according to the subpixel offset:\n\t\t\ttexcoord.y += SMAA_AREATEX_SUBTEX_SIZE * offset;\n\n\t\t\treturn texture2D( areaTex, texcoord, 0.0 ).rg;\n\t\t}\n\n\t\tvec4 SMAABlendingWeightCalculationPS( vec2 texcoord, vec2 pixcoord, vec4 offset[ 3 ], sampler2D edgesTex, sampler2D areaTex, sampler2D searchTex, ivec4 subsampleIndices ) {\n\t\t\tvec4 weights = vec4( 0.0, 0.0, 0.0, 0.0 );\n\n\t\t\tvec2 e = texture2D( edgesTex, texcoord ).rg;\n\n\t\t\tif ( e.g > 0.0 ) { // Edge at north\n\t\t\t\tvec2 d;\n\n\t\t\t\t// Find the distance to the left:\n\t\t\t\tvec2 coords;\n\t\t\t\tcoords.x = SMAASearchXLeft( edgesTex, searchTex, offset[ 0 ].xy, offset[ 2 ].x );\n\t\t\t\tcoords.y = offset[ 1 ].y; // offset[1].y = texcoord.y - 0.25 * resolution.y (@CROSSING_OFFSET)\n\t\t\t\td.x = coords.x;\n\n\t\t\t\t// Now fetch the left crossing edges, two at a time using bilinear\n\t\t\t\t// filtering. Sampling at -0.25 (see @CROSSING_OFFSET) enables to\n\t\t\t\t// discern what value each edge has:\n\t\t\t\tfloat e1 = texture2D( edgesTex, coords, 0.0 ).r;\n\n\t\t\t\t// Find the distance to the right:\n\t\t\t\tcoords.x = SMAASearchXRight( edgesTex, searchTex, offset[ 0 ].zw, offset[ 2 ].y );\n\t\t\t\td.y = coords.x;\n\n\t\t\t\t// We want the distances to be in pixel units (doing this here allow to\n\t\t\t\t// better interleave arithmetic and memory accesses):\n\t\t\t\td = d / resolution.x - pixcoord.x;\n\n\t\t\t\t// SMAAArea below needs a sqrt, as the areas texture is compressed\n\t\t\t\t// quadratically:\n\t\t\t\tvec2 sqrt_d = sqrt( abs( d ) );\n\n\t\t\t\t// Fetch the right crossing edges:\n\t\t\t\tcoords.y -= 1.0 * resolution.y; // WebGL port note: Added\n\t\t\t\tfloat e2 = SMAASampleLevelZeroOffset( edgesTex, coords, ivec2( 1, 0 ) ).r;\n\n\t\t\t\t// Ok, we know how this pattern looks like, now it is time for getting\n\t\t\t\t// the actual area:\n\t\t\t\tweights.rg = SMAAArea( areaTex, sqrt_d, e1, e2, float( subsampleIndices.y ) );\n\t\t\t}\n\n\t\t\tif ( e.r > 0.0 ) { // Edge at west\n\t\t\t\tvec2 d;\n\n\t\t\t\t// Find the distance to the top:\n\t\t\t\tvec2 coords;\n\n\t\t\t\tcoords.y = SMAASearchYUp( edgesTex, searchTex, offset[ 1 ].xy, offset[ 2 ].z );\n\t\t\t\tcoords.x = offset[ 0 ].x; // offset[1].x = texcoord.x - 0.25 * resolution.x;\n\t\t\t\td.x = coords.y;\n\n\t\t\t\t// Fetch the top crossing edges:\n\t\t\t\tfloat e1 = texture2D( edgesTex, coords, 0.0 ).g;\n\n\t\t\t\t// Find the distance to the bottom:\n\t\t\t\tcoords.y = SMAASearchYDown( edgesTex, searchTex, offset[ 1 ].zw, offset[ 2 ].w );\n\t\t\t\td.y = coords.y;\n\n\t\t\t\t// We want the distances to be in pixel units:\n\t\t\t\td = d / resolution.y - pixcoord.y;\n\n\t\t\t\t// SMAAArea below needs a sqrt, as the areas texture is compressed\n\t\t\t\t// quadratically:\n\t\t\t\tvec2 sqrt_d = sqrt( abs( d ) );\n\n\t\t\t\t// Fetch the bottom crossing edges:\n\t\t\t\tcoords.y -= 1.0 * resolution.y; // WebGL port note: Added\n\t\t\t\tfloat e2 = SMAASampleLevelZeroOffset( edgesTex, coords, ivec2( 0, 1 ) ).g;\n\n\t\t\t\t// Get the area for this direction:\n\t\t\t\tweights.ba = SMAAArea( areaTex, sqrt_d, e1, e2, float( subsampleIndices.x ) );\n\t\t\t}\n\n\t\t\treturn weights;\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = SMAABlendingWeightCalculationPS( vUv, vPixcoord, vOffset, tDiffuse, tArea, tSearch, ivec4( 0.0 ) );\n\n\t\t}"},bn={name:"SMAABlendShader",uniforms:{tDiffuse:{value:null},tColor:{value:null},resolution:{value:new t.Vector2(1/1024,1/512)}},vertexShader:"\n\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 2 ];\n\n\t\tvoid SMAANeighborhoodBlendingVS( vec2 texcoord ) {\n\t\t\tvOffset[ 0 ] = texcoord.xyxy + resolution.xyxy * vec4( -1.0, 0.0, 0.0, 1.0 ); // WebGL port note: Changed sign in W component\n\t\t\tvOffset[ 1 ] = texcoord.xyxy + resolution.xyxy * vec4( 1.0, 0.0, 0.0, -1.0 ); // WebGL port note: Changed sign in W component\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tSMAANeighborhoodBlendingVS( vUv );\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform sampler2D tColor;\n\t\tuniform vec2 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vOffset[ 2 ];\n\n\t\tvec4 SMAANeighborhoodBlendingPS( vec2 texcoord, vec4 offset[ 2 ], sampler2D colorTex, sampler2D blendTex ) {\n\t\t\t// Fetch the blending weights for current pixel:\n\t\t\tvec4 a;\n\t\t\ta.xz = texture2D( blendTex, texcoord ).xz;\n\t\t\ta.y = texture2D( blendTex, offset[ 1 ].zw ).g;\n\t\t\ta.w = texture2D( blendTex, offset[ 1 ].xy ).a;\n\n\t\t\t// Is there any blending weight with a value greater than 0.0?\n\t\t\tif ( dot(a, vec4( 1.0, 1.0, 1.0, 1.0 )) < 1e-5 ) {\n\t\t\t\treturn texture2D( colorTex, texcoord, 0.0 );\n\t\t\t} else {\n\t\t\t\t// Up to 4 lines can be crossing a pixel (one through each edge). We\n\t\t\t\t// favor blending by choosing the line with the maximum weight for each\n\t\t\t\t// direction:\n\t\t\t\tvec2 offset;\n\t\t\t\toffset.x = a.a > a.b ? a.a : -a.b; // left vs. right\n\t\t\t\toffset.y = a.g > a.r ? -a.g : a.r; // top vs. bottom // WebGL port note: Changed signs\n\n\t\t\t\t// Then we go in the direction that has the maximum weight:\n\t\t\t\tif ( abs( offset.x ) > abs( offset.y )) { // horizontal vs. vertical\n\t\t\t\t\toffset.y = 0.0;\n\t\t\t\t} else {\n\t\t\t\t\toffset.x = 0.0;\n\t\t\t\t}\n\n\t\t\t\t// Fetch the opposite color and lerp by hand:\n\t\t\t\tvec4 C = texture2D( colorTex, texcoord, 0.0 );\n\t\t\t\ttexcoord += sign( offset ) * resolution;\n\t\t\t\tvec4 Cop = texture2D( colorTex, texcoord, 0.0 );\n\t\t\t\tfloat s = abs( offset.x ) > abs( offset.y ) ? abs( offset.x ) : abs( offset.y );\n\n\t\t\t\t// WebGL port note: Added gamma correction\n\t\t\t\tC.xyz = pow(C.xyz, vec3(2.2));\n\t\t\t\tCop.xyz = pow(Cop.xyz, vec3(2.2));\n\t\t\t\tvec4 mixed = mix(C, Cop, s);\n\t\t\t\tmixed.xyz = pow(mixed.xyz, vec3(1.0 / 2.2));\n\n\t\t\t\treturn mixed;\n\t\t\t}\n\t\t}\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = SMAANeighborhoodBlendingPS( vUv, vOffset, tColor, tDiffuse );\n\n\t\t}"};const Mn={name:"OutputShader",uniforms:{tDiffuse:{value:null},toneMappingExposure:{value:1}},vertexShader:"\n\t\tprecision highp float;\n\n\t\tuniform mat4 modelViewMatrix;\n\t\tuniform mat4 projectionMatrix;\n\n\t\tattribute vec3 position;\n\t\tattribute vec2 uv;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tprecision highp float;\n\n\t\tuniform sampler2D tDiffuse;\n\n\t\t#include \n\t\t#include \n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = texture2D( tDiffuse, vUv );\n\n\t\t\t// tone mapping\n\n\t\t\t#ifdef LINEAR_TONE_MAPPING\n\n\t\t\t\tgl_FragColor.rgb = LinearToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( REINHARD_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = ReinhardToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( CINEON_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = CineonToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( ACES_FILMIC_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = ACESFilmicToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( AGX_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = AgXToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( NEUTRAL_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = NeutralToneMapping( gl_FragColor.rgb );\n\n\t\t\t#elif defined( CUSTOM_TONE_MAPPING )\n\n\t\t\t\tgl_FragColor.rgb = CustomToneMapping( gl_FragColor.rgb );\n\n\t\t\t#endif\n\n\t\t\t// color space\n\n\t\t\t#ifdef SRGB_TRANSFER\n\n\t\t\t\tgl_FragColor = sRGBTransferOETF( gl_FragColor );\n\n\t\t\t#endif\n\n\t\t}"};const Dn={name:"LuminosityHighPassShader",uniforms:{tDiffuse:{value:null},luminosityThreshold:{value:1},smoothWidth:{value:1},defaultColor:{value:new t.Color(0)},defaultOpacity:{value:0}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform vec3 defaultColor;\n\t\tuniform float defaultOpacity;\n\t\tuniform float luminosityThreshold;\n\t\tuniform float smoothWidth;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvec4 texel = texture2D( tDiffuse, vUv );\n\n\t\t\tfloat v = luminance( texel.xyz );\n\n\t\t\tvec4 outputColor = vec4( defaultColor.rgb, defaultOpacity );\n\n\t\t\tfloat alpha = smoothstep( luminosityThreshold, luminosityThreshold + smoothWidth, v );\n\n\t\t\tgl_FragColor = mix( outputColor, texel, alpha );\n\n\t\t}"};class An extends q{constructor(e,n=1,r,i){super(),this.strength=n,this.radius=r,this.threshold=i,this.resolution=void 0!==e?new t.Vector2(e.x,e.y):new t.Vector2(256,256),this.clearColor=new t.Color(0,0,0),this.needsSwap=!1,this.renderTargetsHorizontal=[],this.renderTargetsVertical=[],this.nMips=5;let a=Math.round(this.resolution.x/2),s=Math.round(this.resolution.y/2);this.renderTargetBright=new t.WebGLRenderTarget(a,s,{type:t.HalfFloatType}),this.renderTargetBright.texture.name="UnrealBloomPass.bright",this.renderTargetBright.texture.generateMipmaps=!1;for(let e=0;e\n\n\t\t\t\tvarying vec2 vUv;\n\n\t\t\t\tuniform sampler2D colorTexture;\n\t\t\t\tuniform vec2 invSize;\n\t\t\t\tuniform vec2 direction;\n\t\t\t\tuniform float gaussianCoefficients[KERNEL_RADIUS];\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tfloat weightSum = gaussianCoefficients[0];\n\t\t\t\t\tvec3 diffuseSum = texture2D( colorTexture, vUv ).rgb * weightSum;\n\n\t\t\t\t\tfor ( int i = 1; i < KERNEL_RADIUS; i ++ ) {\n\n\t\t\t\t\t\tfloat x = float( i );\n\t\t\t\t\t\tfloat w = gaussianCoefficients[i];\n\t\t\t\t\t\tvec2 uvOffset = direction * invSize * x;\n\t\t\t\t\t\tvec3 sample1 = texture2D( colorTexture, vUv + uvOffset ).rgb;\n\t\t\t\t\t\tvec3 sample2 = texture2D( colorTexture, vUv - uvOffset ).rgb;\n\t\t\t\t\t\tdiffuseSum += ( sample1 + sample2 ) * w;\n\n\t\t\t\t\t}\n\n\t\t\t\t\tgl_FragColor = vec4( diffuseSum, 1.0 );\n\n\t\t\t\t}"})}_getCompositeMaterial(e){return new t.ShaderMaterial({defines:{NUM_MIPS:e},uniforms:{blurTexture1:{value:null},blurTexture2:{value:null},blurTexture3:{value:null},blurTexture4:{value:null},blurTexture5:{value:null},bloomStrength:{value:1},bloomFactors:{value:null},bloomTintColors:{value:null},bloomRadius:{value:0}},vertexShader:"\n\n\t\t\t\tvarying vec2 vUv;\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\tvUv = uv;\n\t\t\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t\t\t}",fragmentShader:"\n\n\t\t\t\tvarying vec2 vUv;\n\n\t\t\t\tuniform sampler2D blurTexture1;\n\t\t\t\tuniform sampler2D blurTexture2;\n\t\t\t\tuniform sampler2D blurTexture3;\n\t\t\t\tuniform sampler2D blurTexture4;\n\t\t\t\tuniform sampler2D blurTexture5;\n\t\t\t\tuniform float bloomStrength;\n\t\t\t\tuniform float bloomRadius;\n\t\t\t\tuniform float bloomFactors[NUM_MIPS];\n\t\t\t\tuniform vec3 bloomTintColors[NUM_MIPS];\n\n\t\t\t\tfloat lerpBloomFactor( const in float factor ) {\n\n\t\t\t\t\tfloat mirrorFactor = 1.2 - factor;\n\t\t\t\t\treturn mix( factor, mirrorFactor, bloomRadius );\n\n\t\t\t\t}\n\n\t\t\t\tvoid main() {\n\n\t\t\t\t\t// 3.0 for backwards compatibility with previous alpha-based intensity\n\t\t\t\t\tvec3 bloom = 3.0 * bloomStrength * (\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 0 ] ) * bloomTintColors[ 0 ] * texture2D( blurTexture1, vUv ).rgb +\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 1 ] ) * bloomTintColors[ 1 ] * texture2D( blurTexture2, vUv ).rgb +\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 2 ] ) * bloomTintColors[ 2 ] * texture2D( blurTexture3, vUv ).rgb +\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 3 ] ) * bloomTintColors[ 3 ] * texture2D( blurTexture4, vUv ).rgb +\n\t\t\t\t\t\tlerpBloomFactor( bloomFactors[ 4 ] ) * bloomTintColors[ 4 ] * texture2D( blurTexture5, vUv ).rgb\n\t\t\t\t\t);\n\n\t\t\t\t\tfloat bloomAlpha = max( bloom.r, max( bloom.g, bloom.b ) );\n\t\t\t\t\tgl_FragColor = vec4( bloom, bloomAlpha );\n\n\t\t\t\t}"})}}An.BlurDirectionX=new t.Vector2(1,0),An.BlurDirectionY=new t.Vector2(0,1);const Cn={name:"BrightnessContrastShader",uniforms:{tDiffuse:{value:null},brightness:{value:0},contrast:{value:0}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform float brightness;\n\t\tuniform float contrast;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = texture2D( tDiffuse, vUv );\n\n\t\t\tgl_FragColor.rgb += brightness;\n\n\t\t\tif (contrast > 0.0) {\n\t\t\t\tgl_FragColor.rgb = (gl_FragColor.rgb - 0.5) / (1.0 - contrast) + 0.5;\n\t\t\t} else {\n\t\t\t\tgl_FragColor.rgb = (gl_FragColor.rgb - 0.5) * (1.0 + contrast) + 0.5;\n\t\t\t}\n\n\t\t}"},Rn={name:"HueSaturationShader",uniforms:{tDiffuse:{value:null},hue:{value:0},saturation:{value:0}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform sampler2D tDiffuse;\n\t\tuniform float hue;\n\t\tuniform float saturation;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = texture2D( tDiffuse, vUv );\n\n\t\t\t// hue\n\t\t\tfloat angle = hue * 3.14159265;\n\t\t\tfloat s = sin(angle), c = cos(angle);\n\t\t\tvec3 weights = (vec3(2.0 * c, -sqrt(3.0) * s - c, sqrt(3.0) * s - c) + 1.0) / 3.0;\n\t\t\tfloat len = length(gl_FragColor.rgb);\n\t\t\tgl_FragColor.rgb = vec3(\n\t\t\t\tdot(gl_FragColor.rgb, weights.xyz),\n\t\t\t\tdot(gl_FragColor.rgb, weights.zxy),\n\t\t\t\tdot(gl_FragColor.rgb, weights.yzx)\n\t\t\t);\n\n\t\t\t// saturation\n\t\t\tfloat average = (gl_FragColor.r + gl_FragColor.g + gl_FragColor.b) / 3.0;\n\t\t\tif (saturation > 0.0) {\n\t\t\t\tgl_FragColor.rgb += (average - gl_FragColor.rgb) * (1.0 - 1.0 / (1.001 - saturation));\n\t\t\t} else {\n\t\t\t\tgl_FragColor.rgb += (average - gl_FragColor.rgb) * (-saturation);\n\t\t\t}\n\n\t\t}"},Pn={name:"ExposureShader",uniforms:{tDiffuse:{value:null},exposure:{value:1}},vertexShader:"\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tvUv = uv;\n\t\t\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n\n\t\t}",fragmentShader:"\n\n\t\tuniform float exposure;\n\n\t\tuniform sampler2D tDiffuse;\n\n\t\tvarying vec2 vUv;\n\n\t\tvoid main() {\n\n\t\t\tgl_FragColor = texture2D( tDiffuse, vUv );\n\t\t\tgl_FragColor.rgb *= exposure;\n\n\t\t}"};e.BrightnessContrastShader=Cn,e.DRACOLoader=vt,e.DepthOfFieldPass=class extends q{constructor(){super(),this.uniforms={tDiffuse:{value:null},tBlurred:{value:null},tDepth:{value:null},focusDistance:{value:10},focusRange:{value:1},transitionDistance:{value:10},maxBlur:{value:.01},aspect:{value:1},nearClip:{value:1},farClip:{value:1e3}},this._isPerspectiveCamera=!0;const e={PERSPECTIVE_CAMERA:1};this._blurRenderTarget=new t.WebGLRenderTarget(1,1,{type:t.HalfFloatType}),this.uniforms.tBlurred.value=this._blurRenderTarget.texture,this._blurMaterial=new t.ShaderMaterial({uniforms:this.uniforms,defines:e,vertexShader:ne,fragmentShader:ie}),this._compositeMaterial=new t.ShaderMaterial({uniforms:this.uniforms,defines:e,vertexShader:ne,fragmentShader:ae}),this._fullScreenQuad=new ee(this._blurMaterial)}setPerspectiveCamera(e){if(this._isPerspectiveCamera!==e){this._isPerspectiveCamera=e;for(const t of[this._blurMaterial,this._compositeMaterial])t.defines.PERSPECTIVE_CAMERA=e?1:0,t.needsUpdate=!0}}setSize(e,t){this._blurRenderTarget.setSize(Math.ceil(e/2),Math.ceil(t/2))}render(e,t,n){this.uniforms.tDiffuse.value=n.texture,this._fullScreenQuad.material=this._blurMaterial,e.setRenderTarget(this._blurRenderTarget),this._fullScreenQuad.render(e),this._fullScreenQuad.material=this._compositeMaterial,e.setRenderTarget(this.renderToScreen?null:t),this.clear&&e.clear(),this._fullScreenQuad.render(e)}dispose(){this._blurRenderTarget.dispose(),this._blurMaterial.dispose(),this._compositeMaterial.dispose(),this._fullScreenQuad.dispose()}},e.EffectComposer=class{constructor(e,n){if(this.renderer=e,this._pixelRatio=e.getPixelRatio(),void 0===n){const r=e.getSize(new t.Vector2);this._width=r.width,this._height=r.height,(n=new t.WebGLRenderTarget(this._width*this._pixelRatio,this._height*this._pixelRatio,{type:t.HalfFloatType})).texture.name="EffectComposer.rt1"}else this._width=n.width,this._height=n.height;this.renderTarget1=n,this.renderTarget2=n.clone(),this.renderTarget2.texture.name="EffectComposer.rt2",this.writeBuffer=this.renderTarget1,this.readBuffer=this.renderTarget2,this.renderToScreen=!0,this.passes=[],this.copyPass=new vn(te),this.copyPass.material.blending=t.NoBlending,this.timer=new t.Timer}swapBuffers(){const e=this.readBuffer;this.readBuffer=this.writeBuffer,this.writeBuffer=e}addPass(e){this.passes.push(e),e.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}insertPass(e,t){this.passes.splice(t,0,e),e.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}removePass(e){const t=this.passes.indexOf(e);-1!==t&&this.passes.splice(t,1)}isLastEnabledPass(e){for(let t=e+1;te+(0===n?1:2)*t,0);t.uniforms.gaussianCoefficients.value=n.map(e=>e/r),this.separableBlurMaterials[e]=t}this.materialHighPassFilter.fragmentShader="\n uniform sampler2D tDiffuse;\n uniform vec3 defaultColor;\n uniform float defaultOpacity;\n uniform float luminosityThreshold;\n uniform float smoothWidth;\n\n varying vec2 vUv;\n\n vec4 getBrightColor(const in vec2 uv) {\n vec4 texel = texture2D(tDiffuse, uv);\n float alpha = smoothstep(\n luminosityThreshold,\n luminosityThreshold + smoothWidth,\n luminance(texel.xyz)\n );\n return mix(vec4(defaultColor.rgb, defaultOpacity), texel, alpha);\n }\n\n void main() {\n vec2 offset = 1.0 / vec2(textureSize(tDiffuse, 0));\n gl_FragColor = 0.25 * (\n getBrightColor(vUv + vec2(-offset.x, -offset.y)) +\n getBrightColor(vUv + vec2(offset.x, -offset.y)) +\n getBrightColor(vUv + vec2(-offset.x, offset.y)) +\n getBrightColor(vUv + vec2(offset.x, offset.y))\n );\n }",this.setSize(e.x,e.y)}setSize(e,t){super.setSize(e/2,t/2)}},e.N8AOPass=class extends i{constructor(e,t,n=512,i=512){super(),this.width=Math.floor(n),this.height=Math.floor(i),this.clear=!0,this._neuralDenoiseWarningKey=null,this.camera=t,this.scene=e,this.configuration=new Proxy({aoSamples:16,aoRadius:5,aoTones:0,denoiseSamples:8,denoiseRadius:12,distanceFalloff:1,intensity:5,denoiseIterations:2,renderMode:0,biasOffset:0,biasMultiplier:0,color:new r.Color(0,0,0),gammaCorrection:!0,depthBufferType:Y,screenSpaceRadius:!1,halfRes:!1,depthAwareUpsampling:!0,autoRenderBeauty:!0,colorMultiply:!0,transparencyAware:!1,stencil:!1,accumulate:!1,neuralDenoise:!1},{set:(e,t,n)=>{const i=e[t];if(e[t]=n,n.equals?n.equals(i)||this.firstFrame():i!==n&&this.firstFrame(),"aoSamples"===t&&i!==n&&this.configureAOPass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),"denoiseSamples"===t&&i!==n&&this.configureDenoisePass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),"neuralDenoise"===t&&i!==n){const t=n&&(16!==e.aoSamples||e.halfRes),r=n&&e.halfRes;n&&(e.aoSamples=16,[4,8,16].includes(e.denoiseSamples)||(e.denoiseSamples=8),e.denoiseRadius=12,e.denoiseIterations=2,e.halfRes=!1),t&&this.configureAOPass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),r&&(this.configureHalfResTargets(),this.configureEffectCompositer(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.setSize(this.width,this.height)),this.configureDenoisePass(this.configuration.depthBufferType,this.camera.isOrthographicCamera)}return"halfRes"===t&&i!==n&&(this.configureAOPass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.configureHalfResTargets(),this.configureEffectCompositer(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.setSize(this.width,this.height)),"depthAwareUpsampling"===t&&i!==n&&this.configureEffectCompositer(this.configuration.depthBufferType,this.camera.isOrthographicCamera),"transparencyAware"===t&&i!==n&&(this.autoDetectTransparency=!1,this.configureTransparencyTarget()),"stencil"===t&&i!==n&&(this.beautyRenderTarget.dispose(),this.beautyRenderTarget=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.NearestFilter,type:r.HalfFloatType,format:r.RGBAFormat,stencilBuffer:n}),this.beautyRenderTarget.depthTexture=new r.DepthTexture(this.width,this.height,n?r.UnsignedInt248Type:r.UnsignedIntType),this.beautyRenderTarget.depthTexture.format=n?r.DepthStencilFormat:r.DepthFormat),!0}}),this.samples=[],this.samplesDenoise=[],this.autoDetectTransparency=!0,this.frame=0,this.lastViewMatrix=new r.Matrix4,this.lastProjectionMatrix=new r.Matrix4,this.beautyRenderTarget=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.NearestFilter,type:r.HalfFloatType,format:r.RGBAFormat,stencilBuffer:!1}),this.beautyRenderTarget.depthTexture=new r.DepthTexture(this.width,this.height,r.UnsignedIntType),this.beautyRenderTarget.depthTexture.format=r.DepthFormat,this.configureEffectCompositer(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.configureSampleDependentPasses(),this.configureHalfResTargets(),this.detectTransparency(),this.configureTransparencyTarget(),this.writeTargetInternal=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.LinearFilter,depthBuffer:!1,format:r.RGBAFormat}),this.readTargetInternal=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.LinearFilter,depthBuffer:!1,format:r.RGBAFormat}),this.accumulationRenderTarget=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.LinearFilter,depthBuffer:!1,format:r.RGBAFormat,type:r.HalfFloatType,stencilBuffer:!1,depthBuffer:!1,alpha:!0}),this.bluenoise=new r.DataTexture(j,128,128),this.accumulationQuad=new u(new r.ShaderMaterial({uniforms:{frame:{value:0},tDiffuse:{value:null}},transparent:!0,opacity:1,vertexShader:"\n varying vec2 vUv;\n void main() {\n vUv = uv;\n gl_Position = vec4(position, 1);\n }",fragmentShader:"\n uniform sampler2D tDiffuse;\n uniform float frame;\n varying vec2 vUv;\n void main() {\n vec4 color = texture2D(tDiffuse, vUv);\n gl_FragColor = vec4(color.rgb, 1.0 / (frame + 1.0));\n }\n "})),this.bluenoise.colorSpace=r.NoColorSpace,this.bluenoise.wrapS=r.RepeatWrapping,this.bluenoise.wrapT=r.RepeatWrapping,this.bluenoise.minFilter=r.NearestFilter,this.bluenoise.magFilter=r.NearestFilter,this.bluenoise.needsUpdate=!0,this.lastTime=0,this.timeRollingAverage=.99,this._r=new r.Vector2,this._c=new r.Color}configureHalfResTargets(){if(this.firstFrame(),this.configuration.halfRes){this.depthDownsampleTarget=new Q(Math.floor(this.width/2),Math.floor(this.height/2),2),r.REVISION<=161&&(this.depthDownsampleTarget.textures=this.depthDownsampleTarget.texture),this.depthDownsampleTarget.textures[0].format=r.RedFormat,this.depthDownsampleTarget.textures[0].type=r.FloatType,this.depthDownsampleTarget.textures[0].minFilter=r.NearestFilter,this.depthDownsampleTarget.textures[0].magFilter=r.NearestFilter,this.depthDownsampleTarget.textures[0].depthBuffer=!1,this.depthDownsampleTarget.textures[1].format=r.RGBAFormat,this.depthDownsampleTarget.textures[1].type=r.HalfFloatType,this.depthDownsampleTarget.textures[1].minFilter=r.NearestFilter,this.depthDownsampleTarget.textures[1].magFilter=r.NearestFilter,this.depthDownsampleTarget.textures[1].depthBuffer=!1;const e={...G};this.configuration.depthBufferType===Z&&(e.fragmentShader="#define REVERSEDEPTH\n"+e.fragmentShader),this.depthDownsampleQuad=new u(new r.ShaderMaterial(e))}else this.depthDownsampleTarget&&(this.depthDownsampleTarget.dispose(),this.depthDownsampleTarget=null),this.depthDownsampleQuad&&(this.depthDownsampleQuad.dispose(),this.depthDownsampleQuad=null)}detectTransparency(){if(this.autoDetectTransparency){let e=!1;this.scene.traverse(t=>{t.material&&t.material.transparent&&(e=!0)}),this.configuration.transparencyAware=e}}configureTransparencyTarget(){this.configuration.transparencyAware?(this.transparencyRenderTargetDWFalse=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.NearestFilter,type:r.HalfFloatType,format:r.RGBAFormat}),this.transparencyRenderTargetDWTrue=new r.WebGLRenderTarget(this.width,this.height,{minFilter:r.LinearFilter,magFilter:r.NearestFilter,type:r.HalfFloatType,format:r.RGBAFormat}),this.transparencyRenderTargetDWTrue.depthTexture=new r.DepthTexture(this.width,this.height,r.UnsignedIntType),this.depthCopyPass=new u(new r.ShaderMaterial({uniforms:{depthTexture:{value:this.depthTexture},reverseDepthBuffer:{value:this.configuration.depthBufferType===Z}},vertexShader:"\n varying vec2 vUv;\n void main() {\n vUv = uv;\n gl_Position = vec4(position, 1);\n }",fragmentShader:"\n uniform sampler2D depthTexture;\n uniform bool reverseDepthBuffer;\n varying vec2 vUv;\n void main() {\n if (reverseDepthBuffer) {\n float d = 1.0 - texture2D(depthTexture, vUv).r;\n \n d += 0.00001;\n gl_FragDepth = 1.0 - d;\n } else {\n float d = texture2D(depthTexture, vUv).r;\n d += 0.00001;\n gl_FragDepth = d;\n }\n gl_FragColor = vec4(0.0, 0.0, 0.0, 0.0);\n }\n "}))):(this.transparencyRenderTargetDWFalse&&(this.transparencyRenderTargetDWFalse.dispose(),this.transparencyRenderTargetDWFalse=null),this.transparencyRenderTargetDWTrue&&(this.transparencyRenderTargetDWTrue.dispose(),this.transparencyRenderTargetDWTrue=null),this.depthCopyPass&&(this.depthCopyPass.dispose(),this.depthCopyPass=null))}renderTransparency(e){const t=this.scene.background,n=e.getClearColor(new r.Color),i=e.getClearAlpha(),a=new Map,s=e.autoClearDepth;this.scene.traverse(e=>{a.set(e,e.visible)}),this.scene.background=null,e.autoClearDepth=!1,e.setClearColor(new r.Color(0,0,0),0),this.depthCopyPass.material.uniforms.depthTexture.value=this.beautyRenderTarget.depthTexture,this.depthCopyPass.material.uniforms.reverseDepthBuffer.value=this.configuration.depthBufferType===Z,e.setRenderTarget(this.transparencyRenderTargetDWFalse),this.scene.traverse(e=>{e.material&&(e.visible=a.get(e)&&(e.material.transparent&&!e.material.depthWrite&&!e.userData.treatAsOpaque||!!e.userData.cannotReceiveAO))}),e.clear(!0,!0,!0),this.depthCopyPass.render(e),e.render(this.scene,this.camera),e.setRenderTarget(this.transparencyRenderTargetDWTrue),this.scene.traverse(e=>{e.material&&(e.visible=a.get(e)&&e.material.transparent&&e.material.depthWrite&&!e.userData.treatAsOpaque)}),e.clear(!0,!0,!0),this.depthCopyPass.render(e),e.render(this.scene,this.camera),this.scene.traverse(e=>{e.visible=a.get(e)}),e.setClearColor(n,i),this.scene.background=t,e.autoClearDepth=s}configureSampleDependentPasses(){this.firstFrame(),this.configureAOPass(this.configuration.depthBufferType,this.camera.isOrthographicCamera),this.configureDenoisePass(this.configuration.depthBufferType,this.camera.isOrthographicCamera)}configureAOPass(e=Y,t=!1){this.firstFrame(),this.samples=this.generateHemisphereSamples(this.configuration.aoSamples);const n={...c};n.fragmentShader=n.fragmentShader.replace("16",this.configuration.aoSamples).replace("16.0",this.configuration.aoSamples+".0"),e===K?n.fragmentShader="#define LOGDEPTH\n"+n.fragmentShader:e===Z&&(n.fragmentShader="#define REVERSEDEPTH\n"+n.fragmentShader),t&&(n.fragmentShader="#define ORTHO\n"+n.fragmentShader),this.configuration.halfRes&&(n.fragmentShader="#define HALFRES\n"+n.fragmentShader),this.effectShaderQuad?(this.effectShaderQuad.material.dispose(),this.effectShaderQuad.material=new r.ShaderMaterial(n)):this.effectShaderQuad=new u(new r.ShaderMaterial(n))}configureDenoisePass(e=Y,t=!1){this.firstFrame(),this.samplesDenoise=this.generateDenoiseSamples(this.configuration.denoiseSamples,11);const n={...V};n.fragmentShader=n.fragmentShader.replace("__N8AO_DENOISE_SAMPLES__",this.configuration.denoiseSamples),e===K?n.fragmentShader="#define LOGDEPTH\n"+n.fragmentShader:e===Z&&(n.fragmentShader="#define REVERSEDEPTH\n"+n.fragmentShader),t&&(n.fragmentShader="#define ORTHO\n"+n.fragmentShader),this.standardDenoiseMaterial&&this.standardDenoiseMaterial.dispose(),this.neuralDenoiseMaterial&&this.neuralDenoiseMaterial.dispose(),this.standardDenoiseMaterial=new r.ShaderMaterial(n),this.neuralDenoiseMaterial=this.configuration.neuralDenoise&&[4,8,16].includes(this.configuration.denoiseSamples)?new r.ShaderMaterial({...n,glslVersion:r.GLSL3,fragmentShader:"#define NEURAL_DENOISE\nlayout(location = 0) out highp vec4 neuralFragColor;\n#define gl_FragColor neuralFragColor\n"+n.fragmentShader}):null,this.poissonBlurQuad?this.poissonBlurQuad.material=this.standardDenoiseMaterial:this.poissonBlurQuad=new u(this.standardDenoiseMaterial)}shouldUseNeuralDenoise(){if(!this.configuration.neuralDenoise)return this._neuralDenoiseWarningKey=null,!1;const e=[];if(16!==this.configuration.aoSamples&&e.push(`aoSamples is ${this.configuration.aoSamples} (expected 16)`),[4,8,16].includes(this.configuration.denoiseSamples)||e.push(`denoiseSamples is ${this.configuration.denoiseSamples} (expected 4, 8, or 16)`),12!==this.configuration.denoiseRadius&&e.push(`denoiseRadius is ${this.configuration.denoiseRadius} (expected 12)`),2!==this.configuration.denoiseIterations&&e.push(`denoiseIterations is ${this.configuration.denoiseIterations} (expected 2)`),this.configuration.halfRes&&e.push("halfRes is enabled (expected full resolution)"),e.length>0){const t=e.join("; ");return t!==this._neuralDenoiseWarningKey&&(console.warn(`[N8AO] neuralDenoise is enabled but cannot run: ${t}. Neural denoising has been disabled; standard denoising will be used.`),this._neuralDenoiseWarningKey=t),!1}return this._neuralDenoiseWarningKey=null,null!==this.neuralDenoiseMaterial}configureEffectCompositer(e=Y,t=!1){this.firstFrame();const n={...h};e===K?n.fragmentShader="#define LOGDEPTH\n"+n.fragmentShader:e===Z&&(n.fragmentShader="#define REVERSEDEPTH\n"+n.fragmentShader),t&&(n.fragmentShader="#define ORTHO\n"+n.fragmentShader),this.configuration.halfRes&&this.configuration.depthAwareUpsampling&&(n.fragmentShader="#define HALFRES\n"+n.fragmentShader),this.effectCompositerQuad?(this.effectCompositerQuad.material.dispose(),this.effectCompositerQuad.material=new r.ShaderMaterial(n)):this.effectCompositerQuad=new u(new r.ShaderMaterial(n))}generateHemisphereSamples(e){const t=[];for(let n=0;n0)for(let n=0;n + #include + + varying vec2 vUv; + + uniform sampler2D tDiffuse; + uniform sampler2D tDepth; + uniform float focusDistance; + uniform float focusRange; + uniform float transitionDistance; + uniform float maxBlur; + uniform float aspect; + uniform float nearClip; + uniform float farClip; + + float getDistance(const in vec2 uv) { + float depth = texture2D(tDepth, uv).x; + #if PERSPECTIVE_CAMERA == 1 + return -perspectiveDepthToViewZ(depth, nearClip, farClip); + #else + return -orthographicDepthToViewZ(depth, nearClip, farClip); + #endif + } + + float getBlur(const in float distance) { + float outOfFocusDistance = + abs(distance - focusDistance) - focusRange * 0.5; + return clamp(outOfFocusDistance / transitionDistance, 0.0, 1.0); + } + + // A sharper object in front of the pixel must not be spread on it. + float getSampleWeight( + const in float sampleDistance, + const in float centerDistance, + const in float centerBlur + ) { + return sampleDistance < centerDistance + ? clamp(getBlur(sampleDistance) / centerBlur, 0.0, 1.0) + : 1.0; + } + + // The full resolution pixel giving its depth to a pixel of the half + // resolution blur. + vec2 getBlurDepthUv(const in vec2 blurUv) { + return blurUv - 0.5 / vec2(textureSize(tDiffuse, 0)); + }`; + +/** + * A bokeh blur adapted from Three.js `BokehShader`, with samples weighted to + * avoid sharp objects bleeding on the blurred background behind them. + */ +const blurFragmentShader = /* glsl */ ` + ${blurAmountShader} + + vec4 color; + float totalWeight; + float centerDistance; + float centerBlur; + vec2 blurRadius; + + void addPixel(const in vec2 uv, const in float weight) { + float pixelWeight = weight * + getSampleWeight(getDistance(uv), centerDistance, centerBlur); + color += texture2D(tDiffuse, uv) * pixelWeight; + totalWeight += pixelWeight; + } + + void addSample(const in vec2 offset) { + addPixel(vUv + offset * blurRadius, 1.0); + } + + void main() { + vec2 depthUv = getBlurDepthUv(vUv); + centerDistance = getDistance(depthUv); + centerBlur = getBlur(centerDistance); + if (centerBlur <= 0.0) { + gl_FragColor = texture2D(tDiffuse, vUv); + return; + } + // Start from the 4 pixels under this one, without the sharper objects + // in front. + vec2 pixelSize = 1.0 / vec2(textureSize(tDiffuse, 0)); + color = vec4(0.0); + totalWeight = 0.0; + addPixel(depthUv, 0.25); + addPixel(depthUv + vec2(pixelSize.x, 0.0), 0.25); + addPixel(depthUv + vec2(0.0, pixelSize.y), 0.25); + addPixel(depthUv + pixelSize, 0.25); + blurRadius = vec2(1.0, aspect) * maxBlur * centerBlur; + + addSample(vec2( 0.0, 1.0 )); + addSample(vec2( 0.375, 0.925)); + addSample(vec2( 0.725, 0.725)); + addSample(vec2(-0.925, 0.375)); + addSample(vec2( 1.0, 0.0 )); + addSample(vec2( 0.925, -0.375)); + addSample(vec2( 0.725, -0.725)); + addSample(vec2(-0.375, -0.925)); + addSample(vec2( 0.0, -1.0 )); + addSample(vec2(-0.375, 0.925)); + addSample(vec2(-0.725, 0.725)); + addSample(vec2( 0.925, 0.375)); + addSample(vec2(-1.0, 0.0 )); + addSample(vec2(-0.925, -0.375)); + addSample(vec2(-0.725, -0.725)); + addSample(vec2( 0.375, -0.925)); + + addSample(vec2( 0.375, 0.925) * 0.9); + addSample(vec2(-0.925, 0.375) * 0.9); + addSample(vec2( 0.925, -0.375) * 0.9); + addSample(vec2(-0.375, -0.925) * 0.9); + addSample(vec2(-0.375, 0.925) * 0.9); + addSample(vec2( 0.925, 0.375) * 0.9); + addSample(vec2(-0.925, -0.375) * 0.9); + addSample(vec2( 0.375, -0.925) * 0.9); + + addSample(vec2( 0.725, 0.725) * 0.7); + addSample(vec2( 1.0, 0.0 ) * 0.7); + addSample(vec2( 0.725, -0.725) * 0.7); + addSample(vec2( 0.0, -1.0 ) * 0.7); + addSample(vec2(-0.725, 0.725) * 0.7); + addSample(vec2(-1.0, 0.0 ) * 0.7); + addSample(vec2(-0.725, -0.725) * 0.7); + addSample(vec2( 0.0, 1.0 ) * 0.7); + + addSample(vec2( 0.725, 0.725) * 0.4); + addSample(vec2( 1.0, 0.0 ) * 0.4); + addSample(vec2( 0.725, -0.725) * 0.4); + addSample(vec2( 0.0, -1.0 ) * 0.4); + addSample(vec2(-0.725, 0.725) * 0.4); + addSample(vec2(-1.0, 0.0 ) * 0.4); + addSample(vec2(-0.725, -0.725) * 0.4); + addSample(vec2( 0.0, 1.0 ) * 0.4); + + gl_FragColor = color / totalWeight; + }`; + +const compositeFragmentShader = /* glsl */ ` + ${blurAmountShader} + + uniform sampler2D tBlurred; + + vec4 blurredColor; + float totalWeight; + float centerDistance; + float centerBlur; + vec2 blurredPosition; + + void addBlurredSample(const in vec2 offset) { + vec2 blurredSize = vec2(textureSize(tBlurred, 0)); + // Clamped at the borders, so that the color and the depth are read for + // the same pixel. + vec2 blurPixel = clamp( + floor(blurredPosition) + offset, + vec2(0.0), + blurredSize - 1.0 + ); + vec2 blurUv = (blurPixel + 0.5) / blurredSize; + vec2 bilinearWeights = mix( + 1.0 - fract(blurredPosition), + fract(blurredPosition), + offset + ); + float weight = bilinearWeights.x * bilinearWeights.y * getSampleWeight( + getDistance(getBlurDepthUv(blurUv)), + centerDistance, + centerBlur + ); + blurredColor += texture2D(tBlurred, blurUv) * weight; + totalWeight += weight; + } + + void main() { + vec4 sharpColor = texture2D(tDiffuse, vUv); + centerDistance = getDistance(vUv); + centerBlur = getBlur(centerDistance); + float blurInPixels = + centerBlur * maxBlur * float(textureSize(tDiffuse, 0).x); + if (blurInPixels <= 0.0) { + gl_FragColor = sharpColor; + return; + } + + // Bilinear upsampling of the blur, without the pixels of sharper objects + // in front of this one. + blurredPosition = vUv * vec2(textureSize(tBlurred, 0)) - 0.5; + blurredColor = vec4(0.0); + totalWeight = 0.0; + addBlurredSample(vec2(0.0, 0.0)); + addBlurredSample(vec2(1.0, 0.0)); + addBlurredSample(vec2(0.0, 1.0)); + addBlurredSample(vec2(1.0, 1.0)); + if (totalWeight <= 0.0) { + gl_FragColor = sharpColor; + return; + } + + // The blur computed at half the resolution is too coarse for blurs + // under 2 pixels: mix it with the sharp image. + gl_FragColor = mix( + sharpColor, + blurredColor / totalWeight, + clamp(blurInPixels * 0.5, 0.0, 1.0) + ); + }`; + +/** + * A depth of field blurring at half the resolution, then mixing the blur + * with the sharp image at full resolution according to the depth of each + * pixel, so that objects in focus stay sharp. + */ +class DepthOfFieldPass extends Pass { + constructor() { + super(); + + /** + * The uniforms of both shaders. Distances are in Three.js world units, + * `maxBlur` is a fraction of the width of the screen. + * @type {Record} + */ + this.uniforms = { + tDiffuse: { value: null }, + tBlurred: { value: null }, + tDepth: { value: null }, + focusDistance: { value: 10.0 }, + focusRange: { value: 1.0 }, + transitionDistance: { value: 10.0 }, + maxBlur: { value: 0.01 }, + aspect: { value: 1.0 }, + nearClip: { value: 1.0 }, + farClip: { value: 1000.0 }, + }; + this._isPerspectiveCamera = true; + const defines = { PERSPECTIVE_CAMERA: 1 }; + + this._blurRenderTarget = new WebGLRenderTarget(1, 1, { + type: HalfFloatType, + }); + this.uniforms.tBlurred.value = this._blurRenderTarget.texture; + this._blurMaterial = new ShaderMaterial({ + uniforms: this.uniforms, + defines, + vertexShader, + fragmentShader: blurFragmentShader, + }); + this._compositeMaterial = new ShaderMaterial({ + uniforms: this.uniforms, + defines, + vertexShader, + fragmentShader: compositeFragmentShader, + }); + this._fullScreenQuad = new FullScreenQuad(this._blurMaterial); + } + + /** @param {boolean} isPerspectiveCamera */ + setPerspectiveCamera(isPerspectiveCamera) { + if (this._isPerspectiveCamera === isPerspectiveCamera) { + return; + } + this._isPerspectiveCamera = isPerspectiveCamera; + for (const material of [this._blurMaterial, this._compositeMaterial]) { + material.defines.PERSPECTIVE_CAMERA = isPerspectiveCamera ? 1 : 0; + material.needsUpdate = true; + } + } + + setSize(width, height) { + this._blurRenderTarget.setSize(Math.ceil(width / 2), Math.ceil(height / 2)); + } + + render(renderer, writeBuffer, readBuffer) { + this.uniforms.tDiffuse.value = readBuffer.texture; + + this._fullScreenQuad.material = this._blurMaterial; + renderer.setRenderTarget(this._blurRenderTarget); + this._fullScreenQuad.render(renderer); + + this._fullScreenQuad.material = this._compositeMaterial; + renderer.setRenderTarget(this.renderToScreen ? null : writeBuffer); + if (this.clear) renderer.clear(); + this._fullScreenQuad.render(renderer); + } + + dispose() { + this._blurRenderTarget.dispose(); + this._blurMaterial.dispose(); + this._compositeMaterial.dispose(); + this._fullScreenQuad.dispose(); + } +} + +export { DepthOfFieldPass }; diff --git a/SharedLibs/ThreeAddons/src/index.ts b/SharedLibs/ThreeAddons/src/index.ts index 6a519cc537..9c84c31301 100644 --- a/SharedLibs/ThreeAddons/src/index.ts +++ b/SharedLibs/ThreeAddons/src/index.ts @@ -5,6 +5,7 @@ export { N8AOPass } from "./n8ao/N8AOPass"; export { SceneDepthRenderPass } from "./SceneDepthRenderPass"; +export { DepthOfFieldPass } from "./DepthOfFieldPass"; export { GLTFLoader } from "./examples/jsm/loaders/GLTFLoader"; export { DRACOLoader } from "./examples/jsm/loaders/DRACOLoader";