// Generated by Haxe 3.4.7 (function ($global) { "use strict"; function $extend(from, fields) { function Inherit() {} Inherit.prototype = from; var proto = new Inherit(); for (var name in fields) proto[name] = fields[name]; if( fields.toString !== Object.prototype.toString ) proto.toString = fields.toString; return proto; } var Cube = function() { THREE.Object3D.call(this); var ww = 100.; var mate = new THREE.LineBasicMaterial({ color : 13421772}); var _g = 0; while(_g < 4) { var i = _g++; var geo = new THREE.Geometry(); geo.vertices.push(new THREE.Vector3(ww,ww,ww)); geo.vertices.push(new THREE.Vector3(ww,-ww,ww)); geo.vertices.push(new THREE.Vector3(-ww,-ww,ww)); geo.vertices.push(new THREE.Vector3(-ww,ww,ww)); geo.vertices.push(new THREE.Vector3(ww,ww,ww)); var line = new THREE.Line(geo,mate); line.rotation.x = i * Math.PI / 2; } this._mat = new mat_MyShaderMat2(); this._mat.side = 1; var m = new THREE.Mesh(new THREE.BoxGeometry(ww * 2.1,ww * 2.1,ww * 2.1),this._mat); this.add(m); }; Cube.__name__ = true; Cube.__super__ = THREE.Object3D; Cube.prototype = $extend(THREE.Object3D.prototype,{ update: function() { this._mat.update(); } ,__class__: Cube }); var Main = function() { this._amp = 700; this._mouseY = 0; this._mouseX = 0; this._y = 10; this._rad = Math.PI / 2; window.onload = $bind(this,this.initialize); }; Main.__name__ = true; Main.main = function() { new Main(); }; Main.prototype = { initialize: function(e) { this._scene = new THREE.Scene(); var s = 3; this._renderer = new THREE.WebGLRenderer({ devicePixelRatio : 1}); this._renderer.setClearColor(new THREE.Color(16777215)); this._renderer.setSize(window.innerWidth,window.innerHeight); window.document.body.appendChild(this._renderer.domElement); this._camera = new camera_ExCamera(48,window.innerWidth / window.innerHeight,1,5000); this._camera.init(this._renderer.domElement); var stgW = window.innerWidth / 2; var stgH = window.innerHeight / 2; this._camera2 = new THREE.OrthographicCamera(-stgW,stgW,stgH,-stgH,1,4000); this._camera.lookAt(new THREE.Vector3()); this.directionalLight = new THREE.DirectionalLight(16738047,1.4); this.directionalLight.position.x = 200; this.directionalLight.position.y = 2000; this.directionalLight.position.z = 200; this._scene.add(this.directionalLight); var ambient = new THREE.AmbientLight(6710886); this._scene.add(ambient); this._projTest = new projectionTest_ProjTest(); this._scene.add(this._projTest); this._run(); this._onResize(); window.onresize = $bind(this,this._onResize); this._tween(); } ,_tween: function() { var oRad = -Math.PI / 2 + Math.PI; this._rad = oRad; this._projTest.getObj().setPos(); this._projTest.getObj().tween(6,0.5); this._y = 0; TweenMax.delayedCall(7,$bind(this,this._onTween)); } ,_onTween: function() { this._projTest.getObj().hide(); TweenMax.delayedCall(1.5,$bind(this,this._tween)); } ,_run: function() { if(this._camMesh != null) { this._camMesh.update(); } this._camera.update(); this._camera.position.x = this._amp * Math.cos(this._rad); this._camera.position.z = this._amp * Math.sin(this._rad); this._camera.lookAt(new THREE.Vector3()); this._camera2.position.x = this._amp * Math.cos(this._rad); this._camera2.position.y = this._y; this._camera2.position.z = this._amp * Math.sin(this._rad); this._camera2.lookAt(new THREE.Vector3()); this._projTest.update(); this._renderer.render(this._scene,this._camera2); window.requestAnimationFrame($bind(this,this._run)); } ,_onResize: function() { console.log($bind(this,this._onResize)); this._camera.aspect = window.innerWidth / window.innerHeight; this._camera.updateProjectionMatrix(); var stgW = window.innerWidth / 2 * 0.6; var stgH = window.innerHeight / 2 * 0.6; this._camera2 = new THREE.OrthographicCamera(-stgW,stgW,stgH,-stgH,1,4000); this._renderer.setSize(window.innerWidth,window.innerHeight); } ,__class__: Main }; Math.__name__ = true; var Std = function() { }; Std.__name__ = true; Std.string = function(s) { return js_Boot.__string_rec(s,""); }; var Three = function() { }; Three.__name__ = true; Three.requestAnimationFrame = function(f) { return window.requestAnimationFrame(f); }; Three.cancelAnimationFrame = function(f) { window.cancelAnimationFrame(id); }; var camera_ExCamera = function(fov,aspect,near,far) { this._flag = false; this.tgtOffsetY = 0; this._countSpeed = 0; this._rAmp = 0; this._count = 0; this.isActive = false; this.radY = 0.001; this.radX = 0.001; this.amp = 300.0; this._oRadY = 0; this._oRadX = 0; this._height = 0; this._width = 0; this._mouseY = 0; this._mouseX = 0; this._downY = 0; this._downX = 0; this._down = false; THREE.PerspectiveCamera.call(this,fov,aspect,near,far); }; camera_ExCamera.__name__ = true; camera_ExCamera.__super__ = THREE.PerspectiveCamera; camera_ExCamera.prototype = $extend(THREE.PerspectiveCamera.prototype,{ init: function(dom) { this._camera = this; this.target = new THREE.Vector3(); dom.onmousedown = $bind(this,this.onMouseDown); dom.onmouseup = $bind(this,this.onMouseUp); dom.onmousemove = $bind(this,this.onMouseMove); dom.onwheel = $bind(this,this.onMouseWheel); window.addEventListener("DOMMouseScroll",$bind(this,this.onMouseWheelFF)); } ,_onResize: function() { } ,onMouseWheelFF: function(e) { this.amp += e.detail * 0.5; if(this.amp > 18000) { this.amp = 18000; } if(this.amp < 40) { this.amp = 40; } } ,onMouseWheel: function(e) { this.amp += e.wheelDelta * 0.5; if(this.amp > 18000) { this.amp = 18000; } if(this.amp < 40) { this.amp = 40; } } ,onMouseUp: function(e) { e.preventDefault(); this._down = false; } ,onMouseDown: function(e) { e.preventDefault(); this._down = true; this._downX = e.clientX; this._downY = e.clientY; this._oRadX = this.radX; this._oRadY = this.radY; } ,onMouseMove: function(e) { e.preventDefault(); this._mouseX = e.clientX; this._mouseY = e.clientY; } ,update: function() { if(this._down) { var dx = -(this._mouseX - this._downX); var dy = this._mouseY - this._downY; this.radX = this._oRadX + dx / 100; this.radY = this._oRadY + dy / 100; if(this.radY > Math.PI / 2) { this.radY = Math.PI / 2; } if(this.radY < -Math.PI / 2) { this.radY = -Math.PI / 2; } } if(this._camera != null) { this._updatePosition(0.25); } } ,setFOV: function(fov) { console.log("setFOV = " + fov); this._camera.fov = fov; this._camera.updateProjectionMatrix(); } ,resize: function() { this._width = window.innerWidth; this._height = window.innerHeight; this._camera.aspect = this._width / this._height; this._camera.updateProjectionMatrix(); } ,reset: function(target) { var p = this._camera.position; this.amp = Math.sqrt(p.x * p.x + p.y * p.y + p.z * p.z); this.radX = Math.atan2(p.x,p.z); this.radY = Math.atan2(p.y,p.z); this._updatePosition(); if(this.radY > Math.PI / 2 * 0.96) { this.radY = Math.PI / 2 * 0.96; } if(this.radY < -Math.PI / 2 * 0.96) { this.radY = -Math.PI / 2 * 0.96; } if(target != null) { this._camera.lookAt(target); } } ,setPolar: function(a,rx,ry) { this.amp = a; this.radX = rx; this.radY = ry; this._updatePosition(); } ,setRAmp: function(rAmp,countSpeed) { this._flag = true; this._rAmp += rAmp; this._countSpeed += countSpeed; } ,_onAmp: function() { this._flag = false; } ,_updatePosition: function(spd) { if(spd == null) { spd = 1; } var amp1 = this.amp * Math.cos(this.radY); this._count += this._countSpeed; var ox = this._rAmp * Math.cos(this._count / 30 * 2 * Math.PI); var oy = this._rAmp * Math.sin(this._count / 30 * 2 * Math.PI); this._rAmp *= 0.97; this._countSpeed *= 0.95; var x = this.target.x + amp1 * Math.sin(this.radX) + ox; var y = this.target.y + this.amp * Math.sin(this.radY) + oy; var z = this.target.z + amp1 * Math.cos(this.radX); this._camera.position.x += (x - this._camera.position.x) * spd; this._camera.position.y += (y - this._camera.position.y) * spd; this._camera.position.z += (z - this._camera.position.z) * spd; var t = this.target.clone(); t.y += this.tgtOffsetY; this.target2 = t; this._camera.lookAt(t); } ,__class__: camera_ExCamera }); var haxe_io_FPHelper = function() { }; haxe_io_FPHelper.__name__ = true; haxe_io_FPHelper.i32ToFloat = function(i) { var sign = 1 - (i >>> 31 << 1); var exp = i >>> 23 & 255; var sig = i & 8388607; if(sig == 0 && exp == 0) { return 0.0; } return sign * (1 + Math.pow(2,-23) * sig) * Math.pow(2,exp - 127); }; haxe_io_FPHelper.floatToI32 = function(f) { if(f == 0) { return 0; } var af = f < 0 ? -f : f; var exp = Math.floor(Math.log(af) / 0.6931471805599453); if(exp < -127) { exp = -127; } else if(exp > 128) { exp = 128; } var sig = Math.round((af / Math.pow(2,exp) - 1) * 8388608); if(sig == 8388608 && exp < 128) { sig = 0; ++exp; } return (f < 0 ? -2147483648 : 0) | exp + 127 << 23 | sig; }; var js__$Boot_HaxeError = function(val) { Error.call(this); this.val = val; this.message = String(val); if(Error.captureStackTrace) { Error.captureStackTrace(this,js__$Boot_HaxeError); } }; js__$Boot_HaxeError.__name__ = true; js__$Boot_HaxeError.wrap = function(val) { if((val instanceof Error)) { return val; } else { return new js__$Boot_HaxeError(val); } }; js__$Boot_HaxeError.__super__ = Error; js__$Boot_HaxeError.prototype = $extend(Error.prototype,{ __class__: js__$Boot_HaxeError }); var js_Boot = function() { }; js_Boot.__name__ = true; js_Boot.getClass = function(o) { if((o instanceof Array) && o.__enum__ == null) { return Array; } else { var cl = o.__class__; if(cl != null) { return cl; } var name = js_Boot.__nativeClassName(o); if(name != null) { return js_Boot.__resolveNativeClass(name); } return null; } }; js_Boot.__string_rec = function(o,s) { if(o == null) { return "null"; } if(s.length >= 5) { return "<...>"; } var t = typeof(o); if(t == "function" && (o.__name__ || o.__ename__)) { t = "object"; } switch(t) { case "function": return ""; case "object": if(o instanceof Array) { if(o.__enum__) { if(o.length == 2) { return o[0]; } var str = o[0] + "("; s += "\t"; var _g1 = 2; var _g = o.length; while(_g1 < _g) { var i = _g1++; if(i != 2) { str += "," + js_Boot.__string_rec(o[i],s); } else { str += js_Boot.__string_rec(o[i],s); } } return str + ")"; } var l = o.length; var i1; var str1 = "["; s += "\t"; var _g11 = 0; var _g2 = l; while(_g11 < _g2) { var i2 = _g11++; str1 += (i2 > 0 ? "," : "") + js_Boot.__string_rec(o[i2],s); } str1 += "]"; return str1; } var tostr; try { tostr = o.toString; } catch( e ) { return "???"; } if(tostr != null && tostr != Object.toString && typeof(tostr) == "function") { var s2 = o.toString(); if(s2 != "[object Object]") { return s2; } } var k = null; var str2 = "{\n"; s += "\t"; var hasp = o.hasOwnProperty != null; for( var k in o ) { if(hasp && !o.hasOwnProperty(k)) { continue; } if(k == "prototype" || k == "__class__" || k == "__super__" || k == "__interfaces__" || k == "__properties__") { continue; } if(str2.length != 2) { str2 += ", \n"; } str2 += s + k + " : " + js_Boot.__string_rec(o[k],s); } s = s.substring(1); str2 += "\n" + s + "}"; return str2; case "string": return o; default: return String(o); } }; js_Boot.__interfLoop = function(cc,cl) { if(cc == null) { return false; } if(cc == cl) { return true; } var intf = cc.__interfaces__; if(intf != null) { var _g1 = 0; var _g = intf.length; while(_g1 < _g) { var i = _g1++; var i1 = intf[i]; if(i1 == cl || js_Boot.__interfLoop(i1,cl)) { return true; } } } return js_Boot.__interfLoop(cc.__super__,cl); }; js_Boot.__instanceof = function(o,cl) { if(cl == null) { return false; } switch(cl) { case Array: if((o instanceof Array)) { return o.__enum__ == null; } else { return false; } break; case Bool: return typeof(o) == "boolean"; case Dynamic: return true; case Float: return typeof(o) == "number"; case Int: if(typeof(o) == "number") { return (o|0) === o; } else { return false; } break; case String: return typeof(o) == "string"; default: if(o != null) { if(typeof(cl) == "function") { if(o instanceof cl) { return true; } if(js_Boot.__interfLoop(js_Boot.getClass(o),cl)) { return true; } } else if(typeof(cl) == "object" && js_Boot.__isNativeObj(cl)) { if(o instanceof cl) { return true; } } } else { return false; } if(cl == Class ? o.__name__ != null : false) { return true; } if(cl == Enum ? o.__ename__ != null : false) { return true; } return o.__enum__ == cl; } }; js_Boot.__nativeClassName = function(o) { var name = js_Boot.__toStr.call(o).slice(8,-1); if(name == "Object" || name == "Function" || name == "Math" || name == "JSON") { return null; } return name; }; js_Boot.__isNativeObj = function(o) { return js_Boot.__nativeClassName(o) != null; }; js_Boot.__resolveNativeClass = function(name) { return $global[name]; }; var js_html_compat_ArrayBuffer = function(a) { if((a instanceof Array) && a.__enum__ == null) { this.a = a; this.byteLength = a.length; } else { var len = a; this.a = []; var _g1 = 0; var _g = len; while(_g1 < _g) { var i = _g1++; this.a[i] = 0; } this.byteLength = len; } }; js_html_compat_ArrayBuffer.__name__ = true; js_html_compat_ArrayBuffer.sliceImpl = function(begin,end) { var u = new Uint8Array(this,begin,end == null ? null : end - begin); var result = new ArrayBuffer(u.byteLength); var resultArray = new Uint8Array(result); resultArray.set(u); return result; }; js_html_compat_ArrayBuffer.prototype = { slice: function(begin,end) { return new js_html_compat_ArrayBuffer(this.a.slice(begin,end)); } ,__class__: js_html_compat_ArrayBuffer }; var js_html_compat_Float32Array = function() { }; js_html_compat_Float32Array.__name__ = true; js_html_compat_Float32Array._new = function(arg1,offset,length) { var arr; if(typeof(arg1) == "number") { arr = []; var _g1 = 0; var _g = arg1; while(_g1 < _g) { var i = _g1++; arr[i] = 0; } arr.byteLength = arr.length << 2; arr.byteOffset = 0; var _g2 = []; var _g21 = 0; var _g11 = arr.length << 2; while(_g21 < _g11) { var i1 = _g21++; _g2.push(0); } arr.buffer = new js_html_compat_ArrayBuffer(_g2); } else if(js_Boot.__instanceof(arg1,js_html_compat_ArrayBuffer)) { var buffer = arg1; if(offset == null) { offset = 0; } if(length == null) { length = buffer.byteLength - offset >> 2; } arr = []; var _g12 = 0; var _g3 = length; while(_g12 < _g3) { var i2 = _g12++; var val = buffer.a[offset++] | buffer.a[offset++] << 8 | buffer.a[offset++] << 16 | buffer.a[offset++] << 24; arr.push(haxe_io_FPHelper.i32ToFloat(val)); } arr.byteLength = arr.length << 2; arr.byteOffset = offset; arr.buffer = buffer; } else if((arg1 instanceof Array) && arg1.__enum__ == null) { arr = arg1.slice(); var buffer1 = []; var _g4 = 0; while(_g4 < arr.length) { var f = arr[_g4]; ++_g4; var i3 = haxe_io_FPHelper.floatToI32(f); buffer1.push(i3 & 255); buffer1.push(i3 >> 8 & 255); buffer1.push(i3 >> 16 & 255); buffer1.push(i3 >>> 24); } arr.byteLength = arr.length << 2; arr.byteOffset = 0; arr.buffer = new js_html_compat_ArrayBuffer(buffer1); } else { throw new js__$Boot_HaxeError("TODO " + Std.string(arg1)); } arr.subarray = js_html_compat_Float32Array._subarray; arr.set = js_html_compat_Float32Array._set; return arr; }; js_html_compat_Float32Array._set = function(arg,offset) { if(js_Boot.__instanceof(arg.buffer,js_html_compat_ArrayBuffer)) { var a = arg; if(arg.byteLength + offset > this.byteLength) { throw new js__$Boot_HaxeError("set() outside of range"); } var _g1 = 0; var _g = arg.byteLength; while(_g1 < _g) { var i = _g1++; this[i + offset] = a[i]; } } else if((arg instanceof Array) && arg.__enum__ == null) { var a1 = arg; if(a1.length + offset > this.byteLength) { throw new js__$Boot_HaxeError("set() outside of range"); } var _g11 = 0; var _g2 = a1.length; while(_g11 < _g2) { var i1 = _g11++; this[i1 + offset] = a1[i1]; } } else { throw new js__$Boot_HaxeError("TODO"); } }; js_html_compat_Float32Array._subarray = function(start,end) { var a = js_html_compat_Float32Array._new(this.slice(start,end)); a.byteOffset = start * 4; return a; }; var js_html_compat_Uint8Array = function() { }; js_html_compat_Uint8Array.__name__ = true; js_html_compat_Uint8Array._new = function(arg1,offset,length) { var arr; if(typeof(arg1) == "number") { arr = []; var _g1 = 0; var _g = arg1; while(_g1 < _g) { var i = _g1++; arr[i] = 0; } arr.byteLength = arr.length; arr.byteOffset = 0; arr.buffer = new js_html_compat_ArrayBuffer(arr); } else if(js_Boot.__instanceof(arg1,js_html_compat_ArrayBuffer)) { var buffer = arg1; if(offset == null) { offset = 0; } if(length == null) { length = buffer.byteLength - offset; } if(offset == 0) { arr = buffer.a; } else { arr = buffer.a.slice(offset,offset + length); } arr.byteLength = arr.length; arr.byteOffset = offset; arr.buffer = buffer; } else if((arg1 instanceof Array) && arg1.__enum__ == null) { arr = arg1.slice(); arr.byteLength = arr.length; arr.byteOffset = 0; arr.buffer = new js_html_compat_ArrayBuffer(arr); } else { throw new js__$Boot_HaxeError("TODO " + Std.string(arg1)); } arr.subarray = js_html_compat_Uint8Array._subarray; arr.set = js_html_compat_Uint8Array._set; return arr; }; js_html_compat_Uint8Array._set = function(arg,offset) { if(js_Boot.__instanceof(arg.buffer,js_html_compat_ArrayBuffer)) { var a = arg; if(arg.byteLength + offset > this.byteLength) { throw new js__$Boot_HaxeError("set() outside of range"); } var _g1 = 0; var _g = arg.byteLength; while(_g1 < _g) { var i = _g1++; this[i + offset] = a[i]; } } else if((arg instanceof Array) && arg.__enum__ == null) { var a1 = arg; if(a1.length + offset > this.byteLength) { throw new js__$Boot_HaxeError("set() outside of range"); } var _g11 = 0; var _g2 = a1.length; while(_g11 < _g2) { var i1 = _g11++; this[i1 + offset] = a1[i1]; } } else { throw new js__$Boot_HaxeError("TODO"); } }; js_html_compat_Uint8Array._subarray = function(start,end) { var a = js_html_compat_Uint8Array._new(this.slice(start,end)); a.byteOffset = start; return a; }; var mat_MyShaderMat = function(deform) { if(deform == null) { deform = 1; } this.ff = "\r\n//\r\n// Description : Array and textureless GLSL 2D/3D/4D simplex \r\n// noise functions.\r\n// Author : Ian McEwan, Ashima Arts.\r\n// Maintainer : ijm\r\n// Lastmod : 20110822 (ijm)\r\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\r\n// Distributed under the MIT License. See LICENSE file.\r\n// https://github.com/ashima/webgl-noise\r\n// \r\n\r\nvec3 mod289(vec3 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 mod289(vec4 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 permute(vec4 x) {\r\n\treturn mod289(((x*34.0)+1.0)*x);\r\n}\r\n\r\nvec4 taylorInvSqrt(vec4 r){\r\n\treturn 1.79284291400159 - 0.85373472095314 * r;\r\n}\r\n\r\nfloat snoise(vec3 v) { \r\n\r\n\tconst vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n\tconst vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n\r\n\t// First corner\r\n\tvec3 i = floor(v + dot(v, C.yyy) );\r\n\tvec3 x0 = v - i + dot(i, C.xxx) ;\r\n\r\n\t// Other corners\r\n\tvec3 g = step(x0.yzx, x0.xyz);\r\n\tvec3 l = 1.0 - g;\r\n\tvec3 i1 = min( g.xyz, l.zxy );\r\n\tvec3 i2 = max( g.xyz, l.zxy );\r\n\r\n\t// x0 = x0 - 0.0 + 0.0 * C.xxx;\r\n\t// x1 = x0 - i1 + 1.0 * C.xxx;\r\n\t// x2 = x0 - i2 + 2.0 * C.xxx;\r\n\t// x3 = x0 - 1.0 + 3.0 * C.xxx;\r\n\tvec3 x1 = x0 - i1 + C.xxx;\r\n\tvec3 x2 = x0 - i2 + C.yyy; // 2.0*C.x = 1/3 = C.y\r\n\tvec3 x3 = x0 - D.yyy; // -1.0+3.0*C.x = -0.5 = -D.y\r\n\r\n\t// Permutations\r\n\ti = mod289(i); \r\n\tvec4 p = permute( permute( permute( \r\n\t\t i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n\t\t+ i.y + vec4(0.0, i1.y, i2.y, 1.0 )) \r\n\t\t+ i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n\r\n\t// Gradients: 7x7 points over a square, mapped onto an octahedron.\r\n\t// The ring size 17*17 = 289 is close to a multiple of 49 (49*6 = 294)\r\n\tfloat n_ = 0.142857142857; // 1.0/7.0\r\n\tvec3 ns = n_ * D.wyz - D.xzx;\r\n\r\n\tvec4 j = p - 49.0 * floor(p * ns.z * ns.z); // mod(p,7*7)\r\n\r\n\tvec4 x_ = floor(j * ns.z);\r\n\tvec4 y_ = floor(j - 7.0 * x_ ); // mod(j,N)\r\n\r\n\tvec4 x = x_ *ns.x + ns.yyyy;\r\n\tvec4 y = y_ *ns.x + ns.yyyy;\r\n\tvec4 h = 1.0 - abs(x) - abs(y);\r\n\r\n\tvec4 b0 = vec4( x.xy, y.xy );\r\n\tvec4 b1 = vec4( x.zw, y.zw );\r\n\r\n\t//vec4 s0 = vec4(lessThan(b0,0.0))*2.0 - 1.0;\r\n\t//vec4 s1 = vec4(lessThan(b1,0.0))*2.0 - 1.0;\r\n\tvec4 s0 = floor(b0)*2.0 + 1.0;\r\n\tvec4 s1 = floor(b1)*2.0 + 1.0;\r\n\tvec4 sh = -step(h, vec4(0.0));\r\n\r\n\tvec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n\tvec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n\r\n\tvec3 p0 = vec3(a0.xy,h.x);\r\n\tvec3 p1 = vec3(a0.zw,h.y);\r\n\tvec3 p2 = vec3(a1.xy,h.z);\r\n\tvec3 p3 = vec3(a1.zw,h.w);\r\n\r\n\t//Normalise gradients\r\n\tvec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n\tp0 *= norm.x;\r\n\tp1 *= norm.y;\r\n\tp2 *= norm.z;\r\n\tp3 *= norm.w;\r\n\r\n\t// Mix final noise value\r\n\tvec4 m = max(0.6 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0);\r\n\tm = m * m;\r\n\treturn 42.0 * dot( m*m, vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ) );\r\n\r\n}\r\n\r\nvec3 snoiseVec3( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( s , s1 , s2 );\r\n\treturn c;\r\n\r\n}\r\n\r\nvec3 snoiseVec3Abs( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( abs(s) , abs(s1) , abs(s2) );\r\n\treturn c;\r\n\r\n}\r\n\r\n\r\nvec3 curlNoise( vec3 p ){\r\n \r\n\tconst float e = .1;\r\n\tvec3 dx = vec3( e , 0.0 , 0.0 );\r\n\tvec3 dy = vec3( 0.0 , e , 0.0 );\r\n\tvec3 dz = vec3( 0.0 , 0.0 , e );\r\n\r\n\tvec3 p_x0 = snoiseVec3( p - dx );\r\n\tvec3 p_x1 = snoiseVec3( p + dx );\r\n\tvec3 p_y0 = snoiseVec3( p - dy );\r\n\tvec3 p_y1 = snoiseVec3( p + dy );\r\n\tvec3 p_z0 = snoiseVec3( p - dz );\r\n\tvec3 p_z1 = snoiseVec3( p + dz );\r\n\r\n\tfloat x = p_y1.z - p_y0.z - p_z1.y + p_z0.y;\r\n\tfloat y = p_z1.x - p_z0.x - p_x1.z + p_x0.z;\r\n\tfloat z = p_x1.y - p_x0.y - p_y1.x + p_y0.x;\r\n\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( vec3( x , y , z ) * divisor );\r\n\r\n}\r\n\r\nvec3 curlNoise2( vec3 p ) {\r\n\r\n\tconst float e = .1;\r\n\r\n\tvec3 xNoisePotentialDerivatives = snoiseVec3( p );\r\n\tvec3 yNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 3., -3., 1. ) );\r\n\tvec3 zNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 2., 4., -3. ) );\r\n\r\n\tvec3 noiseVelocity = vec3(\r\n\t\tzNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n\t\txNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n\t\tyNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n\t);\r\n\r\n\treturn normalize( noiseVelocity );\r\n\r\n}\r\n\r\nvec4 snoiseD(vec3 v) { //returns vec4(value, dx, dy, dz)\r\n const vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n const vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n \r\n vec3 i = floor(v + dot(v, C.yyy) );\r\n vec3 x0 = v - i + dot(i, C.xxx) ;\r\n \r\n vec3 g = step(x0.yzx, x0.xyz);\r\n vec3 l = 1.0 - g;\r\n vec3 i1 = min( g.xyz, l.zxy );\r\n vec3 i2 = max( g.xyz, l.zxy );\r\n \r\n vec3 x1 = x0 - i1 + C.xxx;\r\n vec3 x2 = x0 - i2 + C.yyy;\r\n vec3 x3 = x0 - D.yyy;\r\n \r\n i = mod289(i);\r\n vec4 p = permute( permute( permute(\r\n i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n + i.y + vec4(0.0, i1.y, i2.y, 1.0 ))\r\n + i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n \r\n float n_ = 0.142857142857; // 1.0/7.0\r\n vec3 ns = n_ * D.wyz - D.xzx;\r\n \r\n vec4 j = p - 49.0 * floor(p * ns.z * ns.z);\r\n \r\n vec4 x_ = floor(j * ns.z);\r\n vec4 y_ = floor(j - 7.0 * x_ );\r\n \r\n vec4 x = x_ *ns.x + ns.yyyy;\r\n vec4 y = y_ *ns.x + ns.yyyy;\r\n vec4 h = 1.0 - abs(x) - abs(y);\r\n \r\n vec4 b0 = vec4( x.xy, y.xy );\r\n vec4 b1 = vec4( x.zw, y.zw );\r\n \r\n vec4 s0 = floor(b0)*2.0 + 1.0;\r\n vec4 s1 = floor(b1)*2.0 + 1.0;\r\n vec4 sh = -step(h, vec4(0.0));\r\n \r\n vec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n vec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n \r\n vec3 p0 = vec3(a0.xy,h.x);\r\n vec3 p1 = vec3(a0.zw,h.y);\r\n vec3 p2 = vec3(a1.xy,h.z);\r\n vec3 p3 = vec3(a1.zw,h.w);\r\n \r\n vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n p0 *= norm.x;\r\n p1 *= norm.y;\r\n p2 *= norm.z;\r\n p3 *= norm.w;\r\n \r\n vec4 values = vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ); //value of contributions from each corner (extrapolate the gradient)\r\n \r\n vec4 m = max(0.5 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0); //kernel function from each corner\r\n \r\n vec4 m2 = m * m;\r\n vec4 m3 = m * m * m;\r\n \r\n vec4 temp = -6.0 * m2 * values;\r\n float dx = temp[0] * x0.x + temp[1] * x1.x + temp[2] * x2.x + temp[3] * x3.x + m3[0] * p0.x + m3[1] * p1.x + m3[2] * p2.x + m3[3] * p3.x;\r\n float dy = temp[0] * x0.y + temp[1] * x1.y + temp[2] * x2.y + temp[3] * x3.y + m3[0] * p0.y + m3[1] * p1.y + m3[2] * p2.y + m3[3] * p3.y;\r\n float dz = temp[0] * x0.z + temp[1] * x1.z + temp[2] * x2.z + temp[3] * x3.z + m3[0] * p0.z + m3[1] * p1.z + m3[2] * p2.z + m3[3] * p3.z;\r\n \r\n return vec4(dot(m3, values), dx, dy, dz) * 42.0;\r\n}\r\n\r\n\r\nvec3 curlNoise3 (vec3 p) {\r\n\r\n vec3 xNoisePotentialDerivatives = snoiseD( p ).yzw; //yzw are the xyz derivatives\r\n vec3 yNoisePotentialDerivatives = snoiseD(vec3( p.y - 19.1 , p.z + 33.4 , p.x + 47.2 )).zwy;\r\n vec3 zNoisePotentialDerivatives = snoiseD(vec3( p.z + 74.2 , p.x - 124.5 , p.y + 99.4 )).wyz;\r\n vec3 noiseVelocity = vec3(\r\n zNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n xNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n yNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n );\r\n\t\r\n\tconst float e = .1;\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( noiseVelocity * divisor );\r\n\r\n}\r\n\t\r\n\t" + "\r\n\t\r\n\t\t#define PHONG\r\n\r\n\t\tuniform vec3 diffuse;\r\n\t\tuniform vec3 emissive;\r\n\t\tuniform vec3 specular;\r\n\t\tuniform float shininess;\r\n\t\tuniform float opacity;\r\n\r\n\t\tvarying float counter;\r\n\t\t\r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\r\n\t\tvoid main() {\r\n\r\n\t\t\t#include \r\n\r\n\t\t\tvec4 diffuseColor = vec4( diffuse, opacity );\r\n\t\t\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\r\n\t\t\tvec3 totalEmissiveRadiance = emissive;\r\n\t\t\t\r\n\t\t\tdiffuseColor.xyz = snoiseVec3( vViewPosition * 0.01 + counter);\r\n\t\t\tdiffuseColor.x = abs( diffuseColor.z + 0.5 );\r\n\t\t\tdiffuseColor.y = abs( 0.6 * diffuseColor.y + 0.2 );\r\n\t\t\tdiffuseColor.z = abs( 0.1 * diffuseColor.z + 0.2 );\r\n\t\t\t\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t\t// accumulation\r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t\t// modulation\r\n\t\t\t#include \r\n\r\n\t\t\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\r\n\r\n\t\t\t#include \r\n\r\n\t\t\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t}\r\n\t\r\n\t"; this.vv = "\r\n//\r\n// Description : Array and textureless GLSL 2D/3D/4D simplex \r\n// noise functions.\r\n// Author : Ian McEwan, Ashima Arts.\r\n// Maintainer : ijm\r\n// Lastmod : 20110822 (ijm)\r\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\r\n// Distributed under the MIT License. See LICENSE file.\r\n// https://github.com/ashima/webgl-noise\r\n// \r\n\r\nvec3 mod289(vec3 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 mod289(vec4 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 permute(vec4 x) {\r\n\treturn mod289(((x*34.0)+1.0)*x);\r\n}\r\n\r\nvec4 taylorInvSqrt(vec4 r){\r\n\treturn 1.79284291400159 - 0.85373472095314 * r;\r\n}\r\n\r\nfloat snoise(vec3 v) { \r\n\r\n\tconst vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n\tconst vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n\r\n\t// First corner\r\n\tvec3 i = floor(v + dot(v, C.yyy) );\r\n\tvec3 x0 = v - i + dot(i, C.xxx) ;\r\n\r\n\t// Other corners\r\n\tvec3 g = step(x0.yzx, x0.xyz);\r\n\tvec3 l = 1.0 - g;\r\n\tvec3 i1 = min( g.xyz, l.zxy );\r\n\tvec3 i2 = max( g.xyz, l.zxy );\r\n\r\n\t// x0 = x0 - 0.0 + 0.0 * C.xxx;\r\n\t// x1 = x0 - i1 + 1.0 * C.xxx;\r\n\t// x2 = x0 - i2 + 2.0 * C.xxx;\r\n\t// x3 = x0 - 1.0 + 3.0 * C.xxx;\r\n\tvec3 x1 = x0 - i1 + C.xxx;\r\n\tvec3 x2 = x0 - i2 + C.yyy; // 2.0*C.x = 1/3 = C.y\r\n\tvec3 x3 = x0 - D.yyy; // -1.0+3.0*C.x = -0.5 = -D.y\r\n\r\n\t// Permutations\r\n\ti = mod289(i); \r\n\tvec4 p = permute( permute( permute( \r\n\t\t i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n\t\t+ i.y + vec4(0.0, i1.y, i2.y, 1.0 )) \r\n\t\t+ i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n\r\n\t// Gradients: 7x7 points over a square, mapped onto an octahedron.\r\n\t// The ring size 17*17 = 289 is close to a multiple of 49 (49*6 = 294)\r\n\tfloat n_ = 0.142857142857; // 1.0/7.0\r\n\tvec3 ns = n_ * D.wyz - D.xzx;\r\n\r\n\tvec4 j = p - 49.0 * floor(p * ns.z * ns.z); // mod(p,7*7)\r\n\r\n\tvec4 x_ = floor(j * ns.z);\r\n\tvec4 y_ = floor(j - 7.0 * x_ ); // mod(j,N)\r\n\r\n\tvec4 x = x_ *ns.x + ns.yyyy;\r\n\tvec4 y = y_ *ns.x + ns.yyyy;\r\n\tvec4 h = 1.0 - abs(x) - abs(y);\r\n\r\n\tvec4 b0 = vec4( x.xy, y.xy );\r\n\tvec4 b1 = vec4( x.zw, y.zw );\r\n\r\n\t//vec4 s0 = vec4(lessThan(b0,0.0))*2.0 - 1.0;\r\n\t//vec4 s1 = vec4(lessThan(b1,0.0))*2.0 - 1.0;\r\n\tvec4 s0 = floor(b0)*2.0 + 1.0;\r\n\tvec4 s1 = floor(b1)*2.0 + 1.0;\r\n\tvec4 sh = -step(h, vec4(0.0));\r\n\r\n\tvec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n\tvec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n\r\n\tvec3 p0 = vec3(a0.xy,h.x);\r\n\tvec3 p1 = vec3(a0.zw,h.y);\r\n\tvec3 p2 = vec3(a1.xy,h.z);\r\n\tvec3 p3 = vec3(a1.zw,h.w);\r\n\r\n\t//Normalise gradients\r\n\tvec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n\tp0 *= norm.x;\r\n\tp1 *= norm.y;\r\n\tp2 *= norm.z;\r\n\tp3 *= norm.w;\r\n\r\n\t// Mix final noise value\r\n\tvec4 m = max(0.6 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0);\r\n\tm = m * m;\r\n\treturn 42.0 * dot( m*m, vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ) );\r\n\r\n}\r\n\r\nvec3 snoiseVec3( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( s , s1 , s2 );\r\n\treturn c;\r\n\r\n}\r\n\r\nvec3 snoiseVec3Abs( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( abs(s) , abs(s1) , abs(s2) );\r\n\treturn c;\r\n\r\n}\r\n\r\n\r\nvec3 curlNoise( vec3 p ){\r\n \r\n\tconst float e = .1;\r\n\tvec3 dx = vec3( e , 0.0 , 0.0 );\r\n\tvec3 dy = vec3( 0.0 , e , 0.0 );\r\n\tvec3 dz = vec3( 0.0 , 0.0 , e );\r\n\r\n\tvec3 p_x0 = snoiseVec3( p - dx );\r\n\tvec3 p_x1 = snoiseVec3( p + dx );\r\n\tvec3 p_y0 = snoiseVec3( p - dy );\r\n\tvec3 p_y1 = snoiseVec3( p + dy );\r\n\tvec3 p_z0 = snoiseVec3( p - dz );\r\n\tvec3 p_z1 = snoiseVec3( p + dz );\r\n\r\n\tfloat x = p_y1.z - p_y0.z - p_z1.y + p_z0.y;\r\n\tfloat y = p_z1.x - p_z0.x - p_x1.z + p_x0.z;\r\n\tfloat z = p_x1.y - p_x0.y - p_y1.x + p_y0.x;\r\n\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( vec3( x , y , z ) * divisor );\r\n\r\n}\r\n\r\nvec3 curlNoise2( vec3 p ) {\r\n\r\n\tconst float e = .1;\r\n\r\n\tvec3 xNoisePotentialDerivatives = snoiseVec3( p );\r\n\tvec3 yNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 3., -3., 1. ) );\r\n\tvec3 zNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 2., 4., -3. ) );\r\n\r\n\tvec3 noiseVelocity = vec3(\r\n\t\tzNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n\t\txNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n\t\tyNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n\t);\r\n\r\n\treturn normalize( noiseVelocity );\r\n\r\n}\r\n\r\nvec4 snoiseD(vec3 v) { //returns vec4(value, dx, dy, dz)\r\n const vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n const vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n \r\n vec3 i = floor(v + dot(v, C.yyy) );\r\n vec3 x0 = v - i + dot(i, C.xxx) ;\r\n \r\n vec3 g = step(x0.yzx, x0.xyz);\r\n vec3 l = 1.0 - g;\r\n vec3 i1 = min( g.xyz, l.zxy );\r\n vec3 i2 = max( g.xyz, l.zxy );\r\n \r\n vec3 x1 = x0 - i1 + C.xxx;\r\n vec3 x2 = x0 - i2 + C.yyy;\r\n vec3 x3 = x0 - D.yyy;\r\n \r\n i = mod289(i);\r\n vec4 p = permute( permute( permute(\r\n i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n + i.y + vec4(0.0, i1.y, i2.y, 1.0 ))\r\n + i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n \r\n float n_ = 0.142857142857; // 1.0/7.0\r\n vec3 ns = n_ * D.wyz - D.xzx;\r\n \r\n vec4 j = p - 49.0 * floor(p * ns.z * ns.z);\r\n \r\n vec4 x_ = floor(j * ns.z);\r\n vec4 y_ = floor(j - 7.0 * x_ );\r\n \r\n vec4 x = x_ *ns.x + ns.yyyy;\r\n vec4 y = y_ *ns.x + ns.yyyy;\r\n vec4 h = 1.0 - abs(x) - abs(y);\r\n \r\n vec4 b0 = vec4( x.xy, y.xy );\r\n vec4 b1 = vec4( x.zw, y.zw );\r\n \r\n vec4 s0 = floor(b0)*2.0 + 1.0;\r\n vec4 s1 = floor(b1)*2.0 + 1.0;\r\n vec4 sh = -step(h, vec4(0.0));\r\n \r\n vec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n vec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n \r\n vec3 p0 = vec3(a0.xy,h.x);\r\n vec3 p1 = vec3(a0.zw,h.y);\r\n vec3 p2 = vec3(a1.xy,h.z);\r\n vec3 p3 = vec3(a1.zw,h.w);\r\n \r\n vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n p0 *= norm.x;\r\n p1 *= norm.y;\r\n p2 *= norm.z;\r\n p3 *= norm.w;\r\n \r\n vec4 values = vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ); //value of contributions from each corner (extrapolate the gradient)\r\n \r\n vec4 m = max(0.5 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0); //kernel function from each corner\r\n \r\n vec4 m2 = m * m;\r\n vec4 m3 = m * m * m;\r\n \r\n vec4 temp = -6.0 * m2 * values;\r\n float dx = temp[0] * x0.x + temp[1] * x1.x + temp[2] * x2.x + temp[3] * x3.x + m3[0] * p0.x + m3[1] * p1.x + m3[2] * p2.x + m3[3] * p3.x;\r\n float dy = temp[0] * x0.y + temp[1] * x1.y + temp[2] * x2.y + temp[3] * x3.y + m3[0] * p0.y + m3[1] * p1.y + m3[2] * p2.y + m3[3] * p3.y;\r\n float dz = temp[0] * x0.z + temp[1] * x1.z + temp[2] * x2.z + temp[3] * x3.z + m3[0] * p0.z + m3[1] * p1.z + m3[2] * p2.z + m3[3] * p3.z;\r\n \r\n return vec4(dot(m3, values), dx, dy, dz) * 42.0;\r\n}\r\n\r\n\r\nvec3 curlNoise3 (vec3 p) {\r\n\r\n vec3 xNoisePotentialDerivatives = snoiseD( p ).yzw; //yzw are the xyz derivatives\r\n vec3 yNoisePotentialDerivatives = snoiseD(vec3( p.y - 19.1 , p.z + 33.4 , p.x + 47.2 )).zwy;\r\n vec3 zNoisePotentialDerivatives = snoiseD(vec3( p.z + 74.2 , p.x - 124.5 , p.y + 99.4 )).wyz;\r\n vec3 noiseVelocity = vec3(\r\n zNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n xNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n yNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n );\r\n\t\r\n\tconst float e = .1;\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( noiseVelocity * divisor );\r\n\r\n}\r\n\t\r\n\t" + "\r\n\t\t#define PHONG\r\n\r\n\t\tvarying vec3 vViewPosition;\r\n\t\tvarying float counter;\r\n\t\t\r\n\t\t#ifndef FLAT_SHADED\r\n\r\n\t\t\tvarying vec3 vNormal;\r\n\r\n\t\t#endif\r\n\r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\r\n\t\tvoid main() {\r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t#ifndef FLAT_SHADED // Normal computed with derivatives when FLAT_SHADED\r\n\r\n\t\t\tvNormal = normalize( transformedNormal );\r\n\r\n\t\t#endif\r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t\tvViewPosition = - mvPosition.xyz;\r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t}\t\r\n\t"; var phongShader = THREE.ShaderLib.phong; var unif = THREE.UniformsUtils .clone(phongShader.uniforms); unif.counter = { type : "f", value : 10000 * Math.random()}; unif.specular.value = new THREE.Color(8947848); unif.emissive.value = new THREE.Color(2236962); THREE.ShaderMaterial.call(this,{ uniforms : unif, vertexShader : this.vv, fragmentShader : this.ff, lights : true}); this.vertexColors = false; this.shading = 1; this.side = 0; }; mat_MyShaderMat.__name__ = true; mat_MyShaderMat.__super__ = THREE.ShaderMaterial; mat_MyShaderMat.prototype = $extend(THREE.ShaderMaterial.prototype,{ update: function() { this.uniforms.counter.value += 0.001; } ,__class__: mat_MyShaderMat }); var mat_MyShaderMat2 = function(deform) { if(deform == null) { deform = 1; } this.ff = "\r\n//\r\n// Description : Array and textureless GLSL 2D/3D/4D simplex \r\n// noise functions.\r\n// Author : Ian McEwan, Ashima Arts.\r\n// Maintainer : ijm\r\n// Lastmod : 20110822 (ijm)\r\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\r\n// Distributed under the MIT License. See LICENSE file.\r\n// https://github.com/ashima/webgl-noise\r\n// \r\n\r\nvec3 mod289(vec3 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 mod289(vec4 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 permute(vec4 x) {\r\n\treturn mod289(((x*34.0)+1.0)*x);\r\n}\r\n\r\nvec4 taylorInvSqrt(vec4 r){\r\n\treturn 1.79284291400159 - 0.85373472095314 * r;\r\n}\r\n\r\nfloat snoise(vec3 v) { \r\n\r\n\tconst vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n\tconst vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n\r\n\t// First corner\r\n\tvec3 i = floor(v + dot(v, C.yyy) );\r\n\tvec3 x0 = v - i + dot(i, C.xxx) ;\r\n\r\n\t// Other corners\r\n\tvec3 g = step(x0.yzx, x0.xyz);\r\n\tvec3 l = 1.0 - g;\r\n\tvec3 i1 = min( g.xyz, l.zxy );\r\n\tvec3 i2 = max( g.xyz, l.zxy );\r\n\r\n\t// x0 = x0 - 0.0 + 0.0 * C.xxx;\r\n\t// x1 = x0 - i1 + 1.0 * C.xxx;\r\n\t// x2 = x0 - i2 + 2.0 * C.xxx;\r\n\t// x3 = x0 - 1.0 + 3.0 * C.xxx;\r\n\tvec3 x1 = x0 - i1 + C.xxx;\r\n\tvec3 x2 = x0 - i2 + C.yyy; // 2.0*C.x = 1/3 = C.y\r\n\tvec3 x3 = x0 - D.yyy; // -1.0+3.0*C.x = -0.5 = -D.y\r\n\r\n\t// Permutations\r\n\ti = mod289(i); \r\n\tvec4 p = permute( permute( permute( \r\n\t\t i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n\t\t+ i.y + vec4(0.0, i1.y, i2.y, 1.0 )) \r\n\t\t+ i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n\r\n\t// Gradients: 7x7 points over a square, mapped onto an octahedron.\r\n\t// The ring size 17*17 = 289 is close to a multiple of 49 (49*6 = 294)\r\n\tfloat n_ = 0.142857142857; // 1.0/7.0\r\n\tvec3 ns = n_ * D.wyz - D.xzx;\r\n\r\n\tvec4 j = p - 49.0 * floor(p * ns.z * ns.z); // mod(p,7*7)\r\n\r\n\tvec4 x_ = floor(j * ns.z);\r\n\tvec4 y_ = floor(j - 7.0 * x_ ); // mod(j,N)\r\n\r\n\tvec4 x = x_ *ns.x + ns.yyyy;\r\n\tvec4 y = y_ *ns.x + ns.yyyy;\r\n\tvec4 h = 1.0 - abs(x) - abs(y);\r\n\r\n\tvec4 b0 = vec4( x.xy, y.xy );\r\n\tvec4 b1 = vec4( x.zw, y.zw );\r\n\r\n\t//vec4 s0 = vec4(lessThan(b0,0.0))*2.0 - 1.0;\r\n\t//vec4 s1 = vec4(lessThan(b1,0.0))*2.0 - 1.0;\r\n\tvec4 s0 = floor(b0)*2.0 + 1.0;\r\n\tvec4 s1 = floor(b1)*2.0 + 1.0;\r\n\tvec4 sh = -step(h, vec4(0.0));\r\n\r\n\tvec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n\tvec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n\r\n\tvec3 p0 = vec3(a0.xy,h.x);\r\n\tvec3 p1 = vec3(a0.zw,h.y);\r\n\tvec3 p2 = vec3(a1.xy,h.z);\r\n\tvec3 p3 = vec3(a1.zw,h.w);\r\n\r\n\t//Normalise gradients\r\n\tvec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n\tp0 *= norm.x;\r\n\tp1 *= norm.y;\r\n\tp2 *= norm.z;\r\n\tp3 *= norm.w;\r\n\r\n\t// Mix final noise value\r\n\tvec4 m = max(0.6 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0);\r\n\tm = m * m;\r\n\treturn 42.0 * dot( m*m, vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ) );\r\n\r\n}\r\n\r\nvec3 snoiseVec3( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( s , s1 , s2 );\r\n\treturn c;\r\n\r\n}\r\n\r\nvec3 snoiseVec3Abs( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( abs(s) , abs(s1) , abs(s2) );\r\n\treturn c;\r\n\r\n}\r\n\r\n\r\nvec3 curlNoise( vec3 p ){\r\n \r\n\tconst float e = .1;\r\n\tvec3 dx = vec3( e , 0.0 , 0.0 );\r\n\tvec3 dy = vec3( 0.0 , e , 0.0 );\r\n\tvec3 dz = vec3( 0.0 , 0.0 , e );\r\n\r\n\tvec3 p_x0 = snoiseVec3( p - dx );\r\n\tvec3 p_x1 = snoiseVec3( p + dx );\r\n\tvec3 p_y0 = snoiseVec3( p - dy );\r\n\tvec3 p_y1 = snoiseVec3( p + dy );\r\n\tvec3 p_z0 = snoiseVec3( p - dz );\r\n\tvec3 p_z1 = snoiseVec3( p + dz );\r\n\r\n\tfloat x = p_y1.z - p_y0.z - p_z1.y + p_z0.y;\r\n\tfloat y = p_z1.x - p_z0.x - p_x1.z + p_x0.z;\r\n\tfloat z = p_x1.y - p_x0.y - p_y1.x + p_y0.x;\r\n\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( vec3( x , y , z ) * divisor );\r\n\r\n}\r\n\r\nvec3 curlNoise2( vec3 p ) {\r\n\r\n\tconst float e = .1;\r\n\r\n\tvec3 xNoisePotentialDerivatives = snoiseVec3( p );\r\n\tvec3 yNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 3., -3., 1. ) );\r\n\tvec3 zNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 2., 4., -3. ) );\r\n\r\n\tvec3 noiseVelocity = vec3(\r\n\t\tzNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n\t\txNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n\t\tyNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n\t);\r\n\r\n\treturn normalize( noiseVelocity );\r\n\r\n}\r\n\r\nvec4 snoiseD(vec3 v) { //returns vec4(value, dx, dy, dz)\r\n const vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n const vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n \r\n vec3 i = floor(v + dot(v, C.yyy) );\r\n vec3 x0 = v - i + dot(i, C.xxx) ;\r\n \r\n vec3 g = step(x0.yzx, x0.xyz);\r\n vec3 l = 1.0 - g;\r\n vec3 i1 = min( g.xyz, l.zxy );\r\n vec3 i2 = max( g.xyz, l.zxy );\r\n \r\n vec3 x1 = x0 - i1 + C.xxx;\r\n vec3 x2 = x0 - i2 + C.yyy;\r\n vec3 x3 = x0 - D.yyy;\r\n \r\n i = mod289(i);\r\n vec4 p = permute( permute( permute(\r\n i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n + i.y + vec4(0.0, i1.y, i2.y, 1.0 ))\r\n + i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n \r\n float n_ = 0.142857142857; // 1.0/7.0\r\n vec3 ns = n_ * D.wyz - D.xzx;\r\n \r\n vec4 j = p - 49.0 * floor(p * ns.z * ns.z);\r\n \r\n vec4 x_ = floor(j * ns.z);\r\n vec4 y_ = floor(j - 7.0 * x_ );\r\n \r\n vec4 x = x_ *ns.x + ns.yyyy;\r\n vec4 y = y_ *ns.x + ns.yyyy;\r\n vec4 h = 1.0 - abs(x) - abs(y);\r\n \r\n vec4 b0 = vec4( x.xy, y.xy );\r\n vec4 b1 = vec4( x.zw, y.zw );\r\n \r\n vec4 s0 = floor(b0)*2.0 + 1.0;\r\n vec4 s1 = floor(b1)*2.0 + 1.0;\r\n vec4 sh = -step(h, vec4(0.0));\r\n \r\n vec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n vec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n \r\n vec3 p0 = vec3(a0.xy,h.x);\r\n vec3 p1 = vec3(a0.zw,h.y);\r\n vec3 p2 = vec3(a1.xy,h.z);\r\n vec3 p3 = vec3(a1.zw,h.w);\r\n \r\n vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n p0 *= norm.x;\r\n p1 *= norm.y;\r\n p2 *= norm.z;\r\n p3 *= norm.w;\r\n \r\n vec4 values = vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ); //value of contributions from each corner (extrapolate the gradient)\r\n \r\n vec4 m = max(0.5 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0); //kernel function from each corner\r\n \r\n vec4 m2 = m * m;\r\n vec4 m3 = m * m * m;\r\n \r\n vec4 temp = -6.0 * m2 * values;\r\n float dx = temp[0] * x0.x + temp[1] * x1.x + temp[2] * x2.x + temp[3] * x3.x + m3[0] * p0.x + m3[1] * p1.x + m3[2] * p2.x + m3[3] * p3.x;\r\n float dy = temp[0] * x0.y + temp[1] * x1.y + temp[2] * x2.y + temp[3] * x3.y + m3[0] * p0.y + m3[1] * p1.y + m3[2] * p2.y + m3[3] * p3.y;\r\n float dz = temp[0] * x0.z + temp[1] * x1.z + temp[2] * x2.z + temp[3] * x3.z + m3[0] * p0.z + m3[1] * p1.z + m3[2] * p2.z + m3[3] * p3.z;\r\n \r\n return vec4(dot(m3, values), dx, dy, dz) * 42.0;\r\n}\r\n\r\n\r\nvec3 curlNoise3 (vec3 p) {\r\n\r\n vec3 xNoisePotentialDerivatives = snoiseD( p ).yzw; //yzw are the xyz derivatives\r\n vec3 yNoisePotentialDerivatives = snoiseD(vec3( p.y - 19.1 , p.z + 33.4 , p.x + 47.2 )).zwy;\r\n vec3 zNoisePotentialDerivatives = snoiseD(vec3( p.z + 74.2 , p.x - 124.5 , p.y + 99.4 )).wyz;\r\n vec3 noiseVelocity = vec3(\r\n zNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n xNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n yNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n );\r\n\t\r\n\tconst float e = .1;\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( noiseVelocity * divisor );\r\n\r\n}\r\n\t\r\n\t" + "\r\n\t\r\n\t\t#define PHONG\r\n\r\n\t\tuniform vec3 diffuse;\r\n\t\tuniform vec3 emissive;\r\n\t\tuniform vec3 specular;\r\n\t\tuniform float shininess;\r\n\t\tuniform float opacity;\r\n\r\n\t\tvarying float counter;\r\n\t\t\r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\r\n\t\t\t\t\tvec3 rgb2hsv(vec3 c)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tvec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0);\r\n\t\t\t\t\t\tvec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g));\r\n\t\t\t\t\t\tvec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r));\r\n\r\n\t\t\t\t\t\tfloat d = q.x - min(q.w, q.y);\r\n\t\t\t\t\t\tfloat e = 1.0e-10;\r\n\t\t\t\t\t\treturn vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x);\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t\tvec3 hsv2rgb(vec3 c)\r\n\t\t\t\t\t{\r\n\t\t\t\t\t\tvec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0);\r\n\t\t\t\t\t\tvec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www);\r\n\t\t\t\t\t\treturn c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y);\r\n\t\t\t\t\t}\t\t\r\n\t\t\r\n\t\t\t\t\t\r\n\t\tvoid main() {\r\n\r\n\t\t\t#include \r\n\r\n\t\t\tvec4 diffuseColor = vec4( diffuse, opacity );\r\n\t\t\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\r\n\t\t\tvec3 totalEmissiveRadiance = emissive;\r\n\t\t\t\r\n\t\t\tdiffuseColor.xyz = snoiseVec3( vViewPosition * 0.001 + counter);\r\n\t\t\tdiffuseColor.x = diffuseColor.x + 1.5;\r\n\t\t\tdiffuseColor.y = diffuseColor.x;// diffuseColor.y * 0.3 + 0.2 + diffuseColor.x;\r\n\t\t\tdiffuseColor.z = diffuseColor.x;// diffuseColor.z * 0.3 + 0.1 + diffuseColor.x;\r\n\t\t\t\r\n\t\t\t//diffuseColor.xyz += 0.2 * snoiseVec3( vViewPosition * 10.001 + counter);\r\n\t\t\t\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t\t// accumulation\r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t\t// modulation\r\n\t\t\t#include \r\n\r\n\t\t\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\r\n\r\n\t\t\t#include \r\n\r\n\t\t\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t}\r\n\t\r\n\t"; this.vv = "\r\n//\r\n// Description : Array and textureless GLSL 2D/3D/4D simplex \r\n// noise functions.\r\n// Author : Ian McEwan, Ashima Arts.\r\n// Maintainer : ijm\r\n// Lastmod : 20110822 (ijm)\r\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\r\n// Distributed under the MIT License. See LICENSE file.\r\n// https://github.com/ashima/webgl-noise\r\n// \r\n\r\nvec3 mod289(vec3 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 mod289(vec4 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 permute(vec4 x) {\r\n\treturn mod289(((x*34.0)+1.0)*x);\r\n}\r\n\r\nvec4 taylorInvSqrt(vec4 r){\r\n\treturn 1.79284291400159 - 0.85373472095314 * r;\r\n}\r\n\r\nfloat snoise(vec3 v) { \r\n\r\n\tconst vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n\tconst vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n\r\n\t// First corner\r\n\tvec3 i = floor(v + dot(v, C.yyy) );\r\n\tvec3 x0 = v - i + dot(i, C.xxx) ;\r\n\r\n\t// Other corners\r\n\tvec3 g = step(x0.yzx, x0.xyz);\r\n\tvec3 l = 1.0 - g;\r\n\tvec3 i1 = min( g.xyz, l.zxy );\r\n\tvec3 i2 = max( g.xyz, l.zxy );\r\n\r\n\t// x0 = x0 - 0.0 + 0.0 * C.xxx;\r\n\t// x1 = x0 - i1 + 1.0 * C.xxx;\r\n\t// x2 = x0 - i2 + 2.0 * C.xxx;\r\n\t// x3 = x0 - 1.0 + 3.0 * C.xxx;\r\n\tvec3 x1 = x0 - i1 + C.xxx;\r\n\tvec3 x2 = x0 - i2 + C.yyy; // 2.0*C.x = 1/3 = C.y\r\n\tvec3 x3 = x0 - D.yyy; // -1.0+3.0*C.x = -0.5 = -D.y\r\n\r\n\t// Permutations\r\n\ti = mod289(i); \r\n\tvec4 p = permute( permute( permute( \r\n\t\t i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n\t\t+ i.y + vec4(0.0, i1.y, i2.y, 1.0 )) \r\n\t\t+ i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n\r\n\t// Gradients: 7x7 points over a square, mapped onto an octahedron.\r\n\t// The ring size 17*17 = 289 is close to a multiple of 49 (49*6 = 294)\r\n\tfloat n_ = 0.142857142857; // 1.0/7.0\r\n\tvec3 ns = n_ * D.wyz - D.xzx;\r\n\r\n\tvec4 j = p - 49.0 * floor(p * ns.z * ns.z); // mod(p,7*7)\r\n\r\n\tvec4 x_ = floor(j * ns.z);\r\n\tvec4 y_ = floor(j - 7.0 * x_ ); // mod(j,N)\r\n\r\n\tvec4 x = x_ *ns.x + ns.yyyy;\r\n\tvec4 y = y_ *ns.x + ns.yyyy;\r\n\tvec4 h = 1.0 - abs(x) - abs(y);\r\n\r\n\tvec4 b0 = vec4( x.xy, y.xy );\r\n\tvec4 b1 = vec4( x.zw, y.zw );\r\n\r\n\t//vec4 s0 = vec4(lessThan(b0,0.0))*2.0 - 1.0;\r\n\t//vec4 s1 = vec4(lessThan(b1,0.0))*2.0 - 1.0;\r\n\tvec4 s0 = floor(b0)*2.0 + 1.0;\r\n\tvec4 s1 = floor(b1)*2.0 + 1.0;\r\n\tvec4 sh = -step(h, vec4(0.0));\r\n\r\n\tvec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n\tvec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n\r\n\tvec3 p0 = vec3(a0.xy,h.x);\r\n\tvec3 p1 = vec3(a0.zw,h.y);\r\n\tvec3 p2 = vec3(a1.xy,h.z);\r\n\tvec3 p3 = vec3(a1.zw,h.w);\r\n\r\n\t//Normalise gradients\r\n\tvec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n\tp0 *= norm.x;\r\n\tp1 *= norm.y;\r\n\tp2 *= norm.z;\r\n\tp3 *= norm.w;\r\n\r\n\t// Mix final noise value\r\n\tvec4 m = max(0.6 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0);\r\n\tm = m * m;\r\n\treturn 42.0 * dot( m*m, vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ) );\r\n\r\n}\r\n\r\nvec3 snoiseVec3( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( s , s1 , s2 );\r\n\treturn c;\r\n\r\n}\r\n\r\nvec3 snoiseVec3Abs( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( abs(s) , abs(s1) , abs(s2) );\r\n\treturn c;\r\n\r\n}\r\n\r\n\r\nvec3 curlNoise( vec3 p ){\r\n \r\n\tconst float e = .1;\r\n\tvec3 dx = vec3( e , 0.0 , 0.0 );\r\n\tvec3 dy = vec3( 0.0 , e , 0.0 );\r\n\tvec3 dz = vec3( 0.0 , 0.0 , e );\r\n\r\n\tvec3 p_x0 = snoiseVec3( p - dx );\r\n\tvec3 p_x1 = snoiseVec3( p + dx );\r\n\tvec3 p_y0 = snoiseVec3( p - dy );\r\n\tvec3 p_y1 = snoiseVec3( p + dy );\r\n\tvec3 p_z0 = snoiseVec3( p - dz );\r\n\tvec3 p_z1 = snoiseVec3( p + dz );\r\n\r\n\tfloat x = p_y1.z - p_y0.z - p_z1.y + p_z0.y;\r\n\tfloat y = p_z1.x - p_z0.x - p_x1.z + p_x0.z;\r\n\tfloat z = p_x1.y - p_x0.y - p_y1.x + p_y0.x;\r\n\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( vec3( x , y , z ) * divisor );\r\n\r\n}\r\n\r\nvec3 curlNoise2( vec3 p ) {\r\n\r\n\tconst float e = .1;\r\n\r\n\tvec3 xNoisePotentialDerivatives = snoiseVec3( p );\r\n\tvec3 yNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 3., -3., 1. ) );\r\n\tvec3 zNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 2., 4., -3. ) );\r\n\r\n\tvec3 noiseVelocity = vec3(\r\n\t\tzNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n\t\txNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n\t\tyNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n\t);\r\n\r\n\treturn normalize( noiseVelocity );\r\n\r\n}\r\n\r\nvec4 snoiseD(vec3 v) { //returns vec4(value, dx, dy, dz)\r\n const vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n const vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n \r\n vec3 i = floor(v + dot(v, C.yyy) );\r\n vec3 x0 = v - i + dot(i, C.xxx) ;\r\n \r\n vec3 g = step(x0.yzx, x0.xyz);\r\n vec3 l = 1.0 - g;\r\n vec3 i1 = min( g.xyz, l.zxy );\r\n vec3 i2 = max( g.xyz, l.zxy );\r\n \r\n vec3 x1 = x0 - i1 + C.xxx;\r\n vec3 x2 = x0 - i2 + C.yyy;\r\n vec3 x3 = x0 - D.yyy;\r\n \r\n i = mod289(i);\r\n vec4 p = permute( permute( permute(\r\n i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n + i.y + vec4(0.0, i1.y, i2.y, 1.0 ))\r\n + i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n \r\n float n_ = 0.142857142857; // 1.0/7.0\r\n vec3 ns = n_ * D.wyz - D.xzx;\r\n \r\n vec4 j = p - 49.0 * floor(p * ns.z * ns.z);\r\n \r\n vec4 x_ = floor(j * ns.z);\r\n vec4 y_ = floor(j - 7.0 * x_ );\r\n \r\n vec4 x = x_ *ns.x + ns.yyyy;\r\n vec4 y = y_ *ns.x + ns.yyyy;\r\n vec4 h = 1.0 - abs(x) - abs(y);\r\n \r\n vec4 b0 = vec4( x.xy, y.xy );\r\n vec4 b1 = vec4( x.zw, y.zw );\r\n \r\n vec4 s0 = floor(b0)*2.0 + 1.0;\r\n vec4 s1 = floor(b1)*2.0 + 1.0;\r\n vec4 sh = -step(h, vec4(0.0));\r\n \r\n vec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n vec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n \r\n vec3 p0 = vec3(a0.xy,h.x);\r\n vec3 p1 = vec3(a0.zw,h.y);\r\n vec3 p2 = vec3(a1.xy,h.z);\r\n vec3 p3 = vec3(a1.zw,h.w);\r\n \r\n vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n p0 *= norm.x;\r\n p1 *= norm.y;\r\n p2 *= norm.z;\r\n p3 *= norm.w;\r\n \r\n vec4 values = vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ); //value of contributions from each corner (extrapolate the gradient)\r\n \r\n vec4 m = max(0.5 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0); //kernel function from each corner\r\n \r\n vec4 m2 = m * m;\r\n vec4 m3 = m * m * m;\r\n \r\n vec4 temp = -6.0 * m2 * values;\r\n float dx = temp[0] * x0.x + temp[1] * x1.x + temp[2] * x2.x + temp[3] * x3.x + m3[0] * p0.x + m3[1] * p1.x + m3[2] * p2.x + m3[3] * p3.x;\r\n float dy = temp[0] * x0.y + temp[1] * x1.y + temp[2] * x2.y + temp[3] * x3.y + m3[0] * p0.y + m3[1] * p1.y + m3[2] * p2.y + m3[3] * p3.y;\r\n float dz = temp[0] * x0.z + temp[1] * x1.z + temp[2] * x2.z + temp[3] * x3.z + m3[0] * p0.z + m3[1] * p1.z + m3[2] * p2.z + m3[3] * p3.z;\r\n \r\n return vec4(dot(m3, values), dx, dy, dz) * 42.0;\r\n}\r\n\r\n\r\nvec3 curlNoise3 (vec3 p) {\r\n\r\n vec3 xNoisePotentialDerivatives = snoiseD( p ).yzw; //yzw are the xyz derivatives\r\n vec3 yNoisePotentialDerivatives = snoiseD(vec3( p.y - 19.1 , p.z + 33.4 , p.x + 47.2 )).zwy;\r\n vec3 zNoisePotentialDerivatives = snoiseD(vec3( p.z + 74.2 , p.x - 124.5 , p.y + 99.4 )).wyz;\r\n vec3 noiseVelocity = vec3(\r\n zNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n xNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n yNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n );\r\n\t\r\n\tconst float e = .1;\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( noiseVelocity * divisor );\r\n\r\n}\r\n\t\r\n\t" + "\r\n\t\t#define PHONG\r\n\r\n\t\tvarying vec3 vViewPosition;\r\n\t\tvarying float counter;\r\n\t\t\r\n\t\t#ifndef FLAT_SHADED\r\n\r\n\t\t\tvarying vec3 vNormal;\r\n\r\n\t\t#endif\r\n\r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\t\t#include \r\n\r\n\t\tvoid main() {\r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t#ifndef FLAT_SHADED // Normal computed with derivatives when FLAT_SHADED\r\n\r\n\t\t\tvNormal = normalize( transformedNormal );\r\n\r\n\t\t#endif\r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t\tvViewPosition = - mvPosition.xyz;\r\n\r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\t\t\t#include \r\n\r\n\t\t}\t\r\n\t"; var phongShader = THREE.ShaderLib.phong; var unif = THREE.UniformsUtils .clone(phongShader.uniforms); unif.counter = { type : "f", value : 10000 * Math.random()}; unif.specular.value = new THREE.Color(8947848); unif.emissive.value = new THREE.Color(2236962); THREE.ShaderMaterial.call(this,{ uniforms : unif, vertexShader : this.vv, fragmentShader : this.ff, lights : true}); this.vertexColors = false; this.side = 2; this.blending = 3; }; mat_MyShaderMat2.__name__ = true; mat_MyShaderMat2.__super__ = THREE.ShaderMaterial; mat_MyShaderMat2.prototype = $extend(THREE.ShaderMaterial.prototype,{ update: function() { this.uniforms.counter.value += 0.001; } ,__class__: mat_MyShaderMat2 }); var matrixTest_MyObject = function() { THREE.Object3D.call(this); }; matrixTest_MyObject.__name__ = true; matrixTest_MyObject.__super__ = THREE.Object3D; matrixTest_MyObject.prototype = $extend(THREE.Object3D.prototype,{ init: function(camera) { this.shaderMat = new matrixTest_MyShaderMat(); this.mesh = new THREE.Mesh(new THREE.IcosahedronGeometry(100,1),this.shaderMat); this.mesh.position.set(0,0,0); this.add(this.mesh); this.updateMatrix(); this.updateMatrixWorld(); this.mesh.updateMatrix(); this.mesh.updateMatrixWorld(); this._modelMatrix = this.mesh.matrixWorld; var v = camera.position.clone(); this._viewMatrix = new THREE.Matrix4(); this.shaderMat.setMatrix(this._modelMatrix,this._viewMatrix,camera.projectionMatrix); } ,update: function(camera) { this.shaderMat.setMatrix(this._modelMatrix,camera.matrixWorldInverse,camera.projectionMatrix); } ,__class__: matrixTest_MyObject }); var matrixTest_MyShaderMat = function() { this.ff = "\r\n\t\t\r\n\t\tvoid main()\r\n\t\t{\r\n\t\t gl_FragColor = vec4(1.0, 0, 0, 1.0);\r\n\t\t}\t\r\n\t"; this.vv = "\r\n\t\tvarying vec2 vUv;// fragmentShaderに渡すためのvarying変数\r\n\t\t\r\n\t\tuniform mat4 modelMat;\r\n\t\tuniform mat4 viewMat;\r\n\t\tuniform mat4 projMat;\r\n\t\t\r\n\t\tuniform float flag;\r\n\t\t\r\n\t\tvoid main()\r\n\t\t{\r\n\t\t\tgl_Position = projMat * viewMat * modelMat * vec4( position, 1.0 );\t\t\t\r\n\t\t}\r\n\t"; THREE.ShaderMaterial.call(this,{ vertexShader : this.vv, fragmentShader : this.ff, uniforms : { modelMat : { type : "m4", value : null}, viewMat : { type : "m4", value : null}, projMat : { type : "m4", value : null}, flag : { type : "f", value : 1}}}); }; matrixTest_MyShaderMat.__name__ = true; matrixTest_MyShaderMat.__super__ = THREE.ShaderMaterial; matrixTest_MyShaderMat.prototype = $extend(THREE.ShaderMaterial.prototype,{ setMatrix: function(modelMatrix1,viewMatrix1,projectionMatrix1) { this.uniforms.modelMat.value = modelMatrix1; this.uniforms.viewMat.value = viewMatrix1; this.uniforms.projMat.value = projectionMatrix1; } ,update: function() { } ,__class__: matrixTest_MyShaderMat }); var mesh_Wirecube = function(w,m) { var g = new THREE.Geometry(); var p1 = new THREE.Vector3(w,-w,-w); var p2 = new THREE.Vector3(w,w,-w); var p3 = new THREE.Vector3(-w,w,-w); var p4 = new THREE.Vector3(-w,-w,-w); var pA = new THREE.Vector3(w,-w,w); var pB = new THREE.Vector3(w,w,w); var pC = new THREE.Vector3(-w,w,w); var pD = new THREE.Vector3(-w,-w,w); this._connect(g,p1,p2); this._connect(g,p2,p3); this._connect(g,p3,p4); this._connect(g,p4,p1); this._connect(g,pA,pB); this._connect(g,pB,pC); this._connect(g,pC,pD); this._connect(g,pD,pA); this._connect(g,p1,pA); this._connect(g,p2,pB); this._connect(g,p3,pC); this._connect(g,p4,pD); g.verticesNeedUpdate = true; THREE.LineSegments.call(this,g,m); }; mesh_Wirecube.__name__ = true; mesh_Wirecube.__super__ = THREE.LineSegments; mesh_Wirecube.prototype = $extend(THREE.LineSegments.prototype,{ _connect: function(g,p1,p2) { g.vertices.push(p1); g.vertices.push(p2); } ,__class__: mesh_Wirecube }); var particles_MojiGeo = function(geo,scale,num) { THREE.BufferGeometry.call(this); var vertexPositions = []; var _g1 = 0; var _g = geo.vertices.length; while(_g1 < _g) { var i = _g1++; vertexPositions.push([geo.vertices[i].x * scale,geo.vertices[i].y * scale,geo.vertices[i].z * scale]); } var normals = new Float32Array(vertexPositions.length * 3 * num); var vertices = new Float32Array(vertexPositions.length * 3 * num); var random = new Float32Array(vertexPositions.length * 3 * num); var color = new Float32Array(vertexPositions.length * 3 * num); var indices = new Uint32Array(geo.faces.length * 3 * num); var ids = new Float32Array(vertexPositions.length * num); var pointsLen = vertexPositions.length; var _g11 = 0; var _g2 = num; while(_g11 < _g2) { var j = _g11++; var xx = 900 * (Math.random() - 0.5); var yy = 900 * (Math.random() - 0.5); var zz = 900 * (Math.random() - 0.5); var rr = 0; var gg = 1; var bb = 0; var ss = 0.5 + 5.0 * Math.random(); var axis = new THREE.Vector3(Math.random() - 0.5,Math.random() - 0.5,Math.random() - 0.5); axis.normalize(); var rad = 6.28 * Math.random(); var _g3 = 0; var _g21 = pointsLen; while(_g3 < _g21) { var i1 = _g3++; var v3 = new THREE.Vector3(vertexPositions[i1][0] * ss,vertexPositions[i1][1] * ss,vertexPositions[i1][2] * ss); v3.applyAxisAngle(axis,rad); vertices[j * (pointsLen * 3) + i1 * 3] = v3.x + xx; vertices[j * (pointsLen * 3) + i1 * 3 + 1] = v3.y + yy; vertices[j * (pointsLen * 3) + i1 * 3 + 2] = v3.z + zz; random[j * (pointsLen * 3) + i1 * 3] = xx; random[j * (pointsLen * 3) + i1 * 3 + 1] = yy; random[j * (pointsLen * 3) + i1 * 3 + 2] = zz; color[j * (pointsLen * 3) + i1 * 3] = rr; color[j * (pointsLen * 3) + i1 * 3 + 1] = gg; color[j * (pointsLen * 3) + i1 * 3 + 2] = bb; ids[j * pointsLen + i1] = Math.floor(j / (num * 0.1)); } } var numFace = geo.faces.length; var _g12 = 0; var _g4 = num; while(_g12 < _g4) { var j1 = _g12++; var _g31 = 0; var _g22 = numFace; while(_g31 < _g22) { var i2 = _g31++; indices[j1 * numFace * 3 + i2 * 3] = j1 * pointsLen + geo.faces[i2].a; indices[j1 * numFace * 3 + i2 * 3 + 1] = j1 * pointsLen + geo.faces[i2].b; indices[j1 * numFace * 3 + i2 * 3 + 2] = j1 * pointsLen + geo.faces[i2].c; normals[(j1 * pointsLen + geo.faces[i2].a) * 3] = geo.faces[i2].vertexNormals[0].x; normals[(j1 * pointsLen + geo.faces[i2].a) * 3 + 1] = geo.faces[i2].vertexNormals[0].y; normals[(j1 * pointsLen + geo.faces[i2].a) * 3 + 2] = geo.faces[i2].vertexNormals[0].z; normals[(j1 * pointsLen + geo.faces[i2].b) * 3] = geo.faces[i2].vertexNormals[1].x; normals[(j1 * pointsLen + geo.faces[i2].b) * 3 + 1] = geo.faces[i2].vertexNormals[1].y; normals[(j1 * pointsLen + geo.faces[i2].b) * 3 + 2] = geo.faces[i2].vertexNormals[1].z; normals[(j1 * pointsLen + geo.faces[i2].c) * 3] = geo.faces[i2].vertexNormals[2].x; normals[(j1 * pointsLen + geo.faces[i2].c) * 3 + 1] = geo.faces[i2].vertexNormals[2].y; normals[(j1 * pointsLen + geo.faces[i2].c) * 3 + 2] = geo.faces[i2].vertexNormals[2].z; } } this.addAttribute("position",new THREE.BufferAttribute(vertices,3)); this.addAttribute("index",new THREE.BufferAttribute(indices,1)); this.addAttribute("normal",new THREE.BufferAttribute(normals,3)); }; particles_MojiGeo.__name__ = true; particles_MojiGeo.__super__ = THREE.BufferGeometry; particles_MojiGeo.prototype = $extend(THREE.BufferGeometry.prototype,{ __class__: particles_MojiGeo }); var projectionTest_ProjObj = function() { this._meshes = []; THREE.Object3D.call(this); var geo = new THREE.SphereGeometry(30,20,20); var mm = new THREE.LineBasicMaterial({ color : 16711680}); var _g = 0; while(_g < 30) { var i = _g++; var mat = new projectionTest_ProjShaderMat(i); mat.side = 2; var mesh = new THREE.Mesh(geo,mat); var s = 0.8 + 0.7 * Math.random(); mesh.scale.set(s,s,s); mesh.position.x = 99999; mesh.position.y = 99999; mesh.position.z = 0; this._meshes.push(mesh); mesh.visible = false; this.add(mesh); } this.setPos(); }; projectionTest_ProjObj.__name__ = true; projectionTest_ProjObj.__super__ = THREE.Object3D; projectionTest_ProjObj.prototype = $extend(THREE.Object3D.prototype,{ setPos: function() { var isRandom = Math.random() < 0.5; var idx = 0; var _g = 0; while(_g < 10) { var i = _g++; var _g1 = 0; while(_g1 < 3) { var j = _g1++; this._meshes[idx].visible = true; if(j % 2 == 0) { this._meshes[idx].position.x = (i + 0.25) / 9 * 800 - 400; } else { this._meshes[idx].position.x = (i - 0.25) / 9 * 800 - 400; } this._meshes[idx].position.y = j / 2 * 180 - 90; this._meshes[idx].position.z = 0; var s = 0.8 + 0.7 * Math.random(); this._meshes[idx].scale.set(s * 0.5,s * 0.5,s * 0.5); TweenMax.to(this._meshes[idx].scale,0.5 + 0.3 * Math.random(),{ x : s, y : s, z : s}); if(isRandom) { this._meshes[idx].position.x += 50 * (Math.random() - 0.5); this._meshes[idx].position.y += 50 * (Math.random() - 0.5); } ++idx; } } this._hoge(); } ,_hoge: function() { var _g1 = 0; var _g = this._meshes.length; while(_g1 < _g) { var i = _g1++; var mat = this._meshes[i].material; } } ,tween: function(duration,delay) { var _g1 = 0; var _g = this._meshes.length; while(_g1 < _g) { var i = _g1++; var mat = this._meshes[i].material; mat.tween(duration,delay); } } ,hide: function() { var _g1 = 0; var _g = this._meshes.length; while(_g1 < _g) { var i = _g1++; TweenMax.to(this._meshes[i].scale,0.5,{ x : 0, y : 0, z : 0, ease : Sine.easeIn}); } } ,update: function(src) { var _g1 = 0; var _g = this._meshes.length; while(_g1 < _g) { var i = _g1++; var m = this._meshes[i]; var mm = m.material; mm.update(); mm.setMatrix(m.matrixWorld,src.camera.matrixWorldInverse,src.camera.projectionMatrix); } } ,__class__: projectionTest_ProjObj }); var projectionTest_ProjShaderMat = function(idx) { this.ff = "\r\n\t\tvarying vec4 vTextureCoord;\r\n\t\tvarying vec4 vNormal;\r\n\t\tuniform sampler2D texture;\r\n\t\tuniform vec3 col;\r\n\t\tuniform float counter;\r\n\t\tvoid main()\r\n\t\t{\r\n\t\t\tvec4 axis = vTextureCoord;\r\n\t\t\t//axis += vec4(0, sin(counter), 0, 0);\r\n\t\t\t//axis.y = - axis.y + 1.0;\r\n\t\t\t\r\n\t\t\tfloat n = 1.0;// 0.5 + 0.5 * dot(vNormal.xyz, vec3(0, 0, 1));\r\n\t\t\tvec4 texColor = texture2DProj(texture, axis) * n;// * vec4(vNormal, 1.0);\r\n\t\t\t\r\n\t\t\tgl_FragColor = vec4( smoothstep(0.4,0.6,texColor.xyz + col), 1.0);\r\n\t\t}\t\r\n\t"; this.vv = "\r\n//\r\n// Description : Array and textureless GLSL 2D/3D/4D simplex \r\n// noise functions.\r\n// Author : Ian McEwan, Ashima Arts.\r\n// Maintainer : ijm\r\n// Lastmod : 20110822 (ijm)\r\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\r\n// Distributed under the MIT License. See LICENSE file.\r\n// https://github.com/ashima/webgl-noise\r\n// \r\n\r\nvec3 mod289(vec3 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 mod289(vec4 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 permute(vec4 x) {\r\n\treturn mod289(((x*34.0)+1.0)*x);\r\n}\r\n\r\nvec4 taylorInvSqrt(vec4 r){\r\n\treturn 1.79284291400159 - 0.85373472095314 * r;\r\n}\r\n\r\nfloat snoise(vec3 v) { \r\n\r\n\tconst vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n\tconst vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n\r\n\t// First corner\r\n\tvec3 i = floor(v + dot(v, C.yyy) );\r\n\tvec3 x0 = v - i + dot(i, C.xxx) ;\r\n\r\n\t// Other corners\r\n\tvec3 g = step(x0.yzx, x0.xyz);\r\n\tvec3 l = 1.0 - g;\r\n\tvec3 i1 = min( g.xyz, l.zxy );\r\n\tvec3 i2 = max( g.xyz, l.zxy );\r\n\r\n\t// x0 = x0 - 0.0 + 0.0 * C.xxx;\r\n\t// x1 = x0 - i1 + 1.0 * C.xxx;\r\n\t// x2 = x0 - i2 + 2.0 * C.xxx;\r\n\t// x3 = x0 - 1.0 + 3.0 * C.xxx;\r\n\tvec3 x1 = x0 - i1 + C.xxx;\r\n\tvec3 x2 = x0 - i2 + C.yyy; // 2.0*C.x = 1/3 = C.y\r\n\tvec3 x3 = x0 - D.yyy; // -1.0+3.0*C.x = -0.5 = -D.y\r\n\r\n\t// Permutations\r\n\ti = mod289(i); \r\n\tvec4 p = permute( permute( permute( \r\n\t\t i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n\t\t+ i.y + vec4(0.0, i1.y, i2.y, 1.0 )) \r\n\t\t+ i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n\r\n\t// Gradients: 7x7 points over a square, mapped onto an octahedron.\r\n\t// The ring size 17*17 = 289 is close to a multiple of 49 (49*6 = 294)\r\n\tfloat n_ = 0.142857142857; // 1.0/7.0\r\n\tvec3 ns = n_ * D.wyz - D.xzx;\r\n\r\n\tvec4 j = p - 49.0 * floor(p * ns.z * ns.z); // mod(p,7*7)\r\n\r\n\tvec4 x_ = floor(j * ns.z);\r\n\tvec4 y_ = floor(j - 7.0 * x_ ); // mod(j,N)\r\n\r\n\tvec4 x = x_ *ns.x + ns.yyyy;\r\n\tvec4 y = y_ *ns.x + ns.yyyy;\r\n\tvec4 h = 1.0 - abs(x) - abs(y);\r\n\r\n\tvec4 b0 = vec4( x.xy, y.xy );\r\n\tvec4 b1 = vec4( x.zw, y.zw );\r\n\r\n\t//vec4 s0 = vec4(lessThan(b0,0.0))*2.0 - 1.0;\r\n\t//vec4 s1 = vec4(lessThan(b1,0.0))*2.0 - 1.0;\r\n\tvec4 s0 = floor(b0)*2.0 + 1.0;\r\n\tvec4 s1 = floor(b1)*2.0 + 1.0;\r\n\tvec4 sh = -step(h, vec4(0.0));\r\n\r\n\tvec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n\tvec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n\r\n\tvec3 p0 = vec3(a0.xy,h.x);\r\n\tvec3 p1 = vec3(a0.zw,h.y);\r\n\tvec3 p2 = vec3(a1.xy,h.z);\r\n\tvec3 p3 = vec3(a1.zw,h.w);\r\n\r\n\t//Normalise gradients\r\n\tvec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n\tp0 *= norm.x;\r\n\tp1 *= norm.y;\r\n\tp2 *= norm.z;\r\n\tp3 *= norm.w;\r\n\r\n\t// Mix final noise value\r\n\tvec4 m = max(0.6 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0);\r\n\tm = m * m;\r\n\treturn 42.0 * dot( m*m, vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ) );\r\n\r\n}\r\n\r\nvec3 snoiseVec3( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( s , s1 , s2 );\r\n\treturn c;\r\n\r\n}\r\n\r\nvec3 snoiseVec3Abs( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( abs(s) , abs(s1) , abs(s2) );\r\n\treturn c;\r\n\r\n}\r\n\r\n\r\nvec3 curlNoise( vec3 p ){\r\n \r\n\tconst float e = .1;\r\n\tvec3 dx = vec3( e , 0.0 , 0.0 );\r\n\tvec3 dy = vec3( 0.0 , e , 0.0 );\r\n\tvec3 dz = vec3( 0.0 , 0.0 , e );\r\n\r\n\tvec3 p_x0 = snoiseVec3( p - dx );\r\n\tvec3 p_x1 = snoiseVec3( p + dx );\r\n\tvec3 p_y0 = snoiseVec3( p - dy );\r\n\tvec3 p_y1 = snoiseVec3( p + dy );\r\n\tvec3 p_z0 = snoiseVec3( p - dz );\r\n\tvec3 p_z1 = snoiseVec3( p + dz );\r\n\r\n\tfloat x = p_y1.z - p_y0.z - p_z1.y + p_z0.y;\r\n\tfloat y = p_z1.x - p_z0.x - p_x1.z + p_x0.z;\r\n\tfloat z = p_x1.y - p_x0.y - p_y1.x + p_y0.x;\r\n\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( vec3( x , y , z ) * divisor );\r\n\r\n}\r\n\r\nvec3 curlNoise2( vec3 p ) {\r\n\r\n\tconst float e = .1;\r\n\r\n\tvec3 xNoisePotentialDerivatives = snoiseVec3( p );\r\n\tvec3 yNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 3., -3., 1. ) );\r\n\tvec3 zNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 2., 4., -3. ) );\r\n\r\n\tvec3 noiseVelocity = vec3(\r\n\t\tzNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n\t\txNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n\t\tyNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n\t);\r\n\r\n\treturn normalize( noiseVelocity );\r\n\r\n}\r\n\r\nvec4 snoiseD(vec3 v) { //returns vec4(value, dx, dy, dz)\r\n const vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n const vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n \r\n vec3 i = floor(v + dot(v, C.yyy) );\r\n vec3 x0 = v - i + dot(i, C.xxx) ;\r\n \r\n vec3 g = step(x0.yzx, x0.xyz);\r\n vec3 l = 1.0 - g;\r\n vec3 i1 = min( g.xyz, l.zxy );\r\n vec3 i2 = max( g.xyz, l.zxy );\r\n \r\n vec3 x1 = x0 - i1 + C.xxx;\r\n vec3 x2 = x0 - i2 + C.yyy;\r\n vec3 x3 = x0 - D.yyy;\r\n \r\n i = mod289(i);\r\n vec4 p = permute( permute( permute(\r\n i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n + i.y + vec4(0.0, i1.y, i2.y, 1.0 ))\r\n + i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n \r\n float n_ = 0.142857142857; // 1.0/7.0\r\n vec3 ns = n_ * D.wyz - D.xzx;\r\n \r\n vec4 j = p - 49.0 * floor(p * ns.z * ns.z);\r\n \r\n vec4 x_ = floor(j * ns.z);\r\n vec4 y_ = floor(j - 7.0 * x_ );\r\n \r\n vec4 x = x_ *ns.x + ns.yyyy;\r\n vec4 y = y_ *ns.x + ns.yyyy;\r\n vec4 h = 1.0 - abs(x) - abs(y);\r\n \r\n vec4 b0 = vec4( x.xy, y.xy );\r\n vec4 b1 = vec4( x.zw, y.zw );\r\n \r\n vec4 s0 = floor(b0)*2.0 + 1.0;\r\n vec4 s1 = floor(b1)*2.0 + 1.0;\r\n vec4 sh = -step(h, vec4(0.0));\r\n \r\n vec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n vec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n \r\n vec3 p0 = vec3(a0.xy,h.x);\r\n vec3 p1 = vec3(a0.zw,h.y);\r\n vec3 p2 = vec3(a1.xy,h.z);\r\n vec3 p3 = vec3(a1.zw,h.w);\r\n \r\n vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n p0 *= norm.x;\r\n p1 *= norm.y;\r\n p2 *= norm.z;\r\n p3 *= norm.w;\r\n \r\n vec4 values = vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ); //value of contributions from each corner (extrapolate the gradient)\r\n \r\n vec4 m = max(0.5 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0); //kernel function from each corner\r\n \r\n vec4 m2 = m * m;\r\n vec4 m3 = m * m * m;\r\n \r\n vec4 temp = -6.0 * m2 * values;\r\n float dx = temp[0] * x0.x + temp[1] * x1.x + temp[2] * x2.x + temp[3] * x3.x + m3[0] * p0.x + m3[1] * p1.x + m3[2] * p2.x + m3[3] * p3.x;\r\n float dy = temp[0] * x0.y + temp[1] * x1.y + temp[2] * x2.y + temp[3] * x3.y + m3[0] * p0.y + m3[1] * p1.y + m3[2] * p2.y + m3[3] * p3.y;\r\n float dz = temp[0] * x0.z + temp[1] * x1.z + temp[2] * x2.z + temp[3] * x3.z + m3[0] * p0.z + m3[1] * p1.z + m3[2] * p2.z + m3[3] * p3.z;\r\n \r\n return vec4(dot(m3, values), dx, dy, dz) * 42.0;\r\n}\r\n\r\n\r\nvec3 curlNoise3 (vec3 p) {\r\n\r\n vec3 xNoisePotentialDerivatives = snoiseD( p ).yzw; //yzw are the xyz derivatives\r\n vec3 yNoisePotentialDerivatives = snoiseD(vec3( p.y - 19.1 , p.z + 33.4 , p.x + 47.2 )).zwy;\r\n vec3 zNoisePotentialDerivatives = snoiseD(vec3( p.z + 74.2 , p.x - 124.5 , p.y + 99.4 )).wyz;\r\n vec3 noiseVelocity = vec3(\r\n zNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n xNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n yNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n );\r\n\t\r\n\tconst float e = .1;\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( noiseVelocity * divisor );\r\n\r\n}\r\n\t\r\n\t" + "\r\n\t\tvarying vec4 vTextureCoord;// fragmentShaderに渡すためのvarying変数\r\n\t\tvarying vec4 vNormal;\r\n\t\t\r\n\t\tuniform mat4 modelMat;\r\n\t\tuniform mat4 viewMat;\r\n\t\tuniform mat4 projMat;\r\n\t\tuniform mat4 tMat;\r\n\t\t\r\n\t\tuniform vec3 rotAxis;\r\n\t\tuniform float counter;\r\n\t\t\r\n\t\tvec3 rotateVec3(vec3 p, float angle, vec3 axis){\r\n\t\t vec3 a = normalize(axis);\r\n\t\t float s = sin(angle);\r\n\t\t float c = cos(angle);\r\n\t\t float r = 1.0 - c;\r\n\t\t mat3 m = mat3(\r\n\t\t\ta.x * a.x * r + c,\r\n\t\t\ta.y * a.x * r + a.z * s,\r\n\t\t\ta.z * a.x * r - a.y * s,\r\n\t\t\ta.x * a.y * r - a.z * s,\r\n\t\t\ta.y * a.y * r + c,\r\n\t\t\ta.z * a.y * r + a.x * s,\r\n\t\t\ta.x * a.z * r + a.y * s,\r\n\t\t\ta.y * a.z * r - a.x * s,\r\n\t\t\ta.z * a.z * r + c\r\n\t\t );\r\n\t\t return m * p;\r\n\t\t}\r\n\t\t\r\n\t\tmat4 transpose(mat4 m) {\r\n\t\t return mat4(m[0][0], m[1][0], m[2][0], m[3][0],\r\n\t\t\t\t\t m[0][1], m[1][1], m[2][1], m[3][1],\r\n\t\t\t\t\t m[0][2], m[1][2], m[2][2], m[3][2],\r\n\t\t\t\t\t m[0][3], m[1][3], m[2][3], m[3][3]);\r\n\t\t}\t\t\r\n\t\t\r\n\t\tmat4 inverse(mat4 m) {\r\n\t\t float\r\n\t\t\t a00 = m[0][0], a01 = m[0][1], a02 = m[0][2], a03 = m[0][3],\r\n\t\t\t a10 = m[1][0], a11 = m[1][1], a12 = m[1][2], a13 = m[1][3],\r\n\t\t\t a20 = m[2][0], a21 = m[2][1], a22 = m[2][2], a23 = m[2][3],\r\n\t\t\t a30 = m[3][0], a31 = m[3][1], a32 = m[3][2], a33 = m[3][3],\r\n\r\n\t\t\t b00 = a00 * a11 - a01 * a10,\r\n\t\t\t b01 = a00 * a12 - a02 * a10,\r\n\t\t\t b02 = a00 * a13 - a03 * a10,\r\n\t\t\t b03 = a01 * a12 - a02 * a11,\r\n\t\t\t b04 = a01 * a13 - a03 * a11,\r\n\t\t\t b05 = a02 * a13 - a03 * a12,\r\n\t\t\t b06 = a20 * a31 - a21 * a30,\r\n\t\t\t b07 = a20 * a32 - a22 * a30,\r\n\t\t\t b08 = a20 * a33 - a23 * a30,\r\n\t\t\t b09 = a21 * a32 - a22 * a31,\r\n\t\t\t b10 = a21 * a33 - a23 * a31,\r\n\t\t\t b11 = a22 * a33 - a23 * a32,\r\n\r\n\t\t\t det = b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;\r\n\r\n\t\t return mat4(\r\n\t\t\t a11 * b11 - a12 * b10 + a13 * b09,\r\n\t\t\t a02 * b10 - a01 * b11 - a03 * b09,\r\n\t\t\t a31 * b05 - a32 * b04 + a33 * b03,\r\n\t\t\t a22 * b04 - a21 * b05 - a23 * b03,\r\n\t\t\t a12 * b08 - a10 * b11 - a13 * b07,\r\n\t\t\t a00 * b11 - a02 * b08 + a03 * b07,\r\n\t\t\t a32 * b02 - a30 * b05 - a33 * b01,\r\n\t\t\t a20 * b05 - a22 * b02 + a23 * b01,\r\n\t\t\t a10 * b10 - a11 * b08 + a13 * b06,\r\n\t\t\t a01 * b08 - a00 * b10 - a03 * b06,\r\n\t\t\t a30 * b04 - a31 * b02 + a33 * b00,\r\n\t\t\t a21 * b02 - a20 * b04 - a23 * b00,\r\n\t\t\t a11 * b07 - a10 * b09 - a12 * b06,\r\n\t\t\t a00 * b09 - a01 * b07 + a02 * b06,\r\n\t\t\t a31 * b01 - a30 * b03 - a32 * b00,\r\n\t\t\t a20 * b03 - a21 * b01 + a22 * b00) / det;\r\n\t\t}\t\t\r\n\t\t\r\n\t\tvoid main()\r\n\t\t{\r\n\t\t\t\r\n\t\t\tvec3 pos = position;\r\n\t\t\t\r\n\t\t\t\r\n\t\t\tvec4 wpos = projMat * viewMat * modelMat * vec4(pos, 1.0);\r\n\t\t\tvTextureCoord = tMat * wpos;\r\n\t\t\t\r\n\t\t\tmat4 modelViewMat = viewMat * modelMat;\r\n\t\t\tmat4 normalMat = transpose(inverse(modelViewMat));\r\n\t\t\tvNormal = normalMat * vec4(normal,1.0);\r\n\t\t\t\r\n\t\t\t//pos2\r\n\t\t\tvec3 pos2\t= rotateVec3( pos, counter, normalize(rotAxis) );\r\n\t\t\t\r\n\t\t\t//gl_Position = projMat * viewMat * modelMat * vec4( position, 1.0 );\t\r\n\t\t\tgl_Position = projectionMatrix * viewMatrix * modelMatrix * vec4(pos2, 1.0 );\r\n\t\t}\r\n\t"; this._index = idx; var tMat = new THREE.Matrix4(); tMat.set(0.5,0,0,0.5,0,0.5,0,0.5,0,0,1,0,0,0,0,1); var loader = new THREE.TextureLoader(); var str = 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var image = new Image(); image.src = str; var tex = new THREE.Texture(); tex.image = image; image.onload = function() { tex.needsUpdate = true; }; var tmp = this.vv; var tmp1 = this.ff; var tmp2 = { type : "v3", value : new THREE.Vector3()}; THREE.ShaderMaterial.call(this,{ vertexShader : tmp, fragmentShader : tmp1, uniforms : { modelMat : { type : "m4", value : null}, viewMat : { type : "m4", value : null}, projMat : { type : "m4", value : null}, texture : { type : "t", value : tex}, tMat : { type : "m4", value : tMat}, col : tmp2, rotAxis : { type : "v3", value : new THREE.Vector3(0,0,1)}, counter : { type : "f", value : 0}}}); }; projectionTest_ProjShaderMat.__name__ = true; projectionTest_ProjShaderMat.__super__ = THREE.ShaderMaterial; projectionTest_ProjShaderMat.prototype = $extend(THREE.ShaderMaterial.prototype,{ setMatrix: function(modelMatrix1,viewMatrix1,projectionMatrix1) { this.uniforms.modelMat.value = modelMatrix1; this.uniforms.viewMat.value = viewMatrix1; this.uniforms.projMat.value = projectionMatrix1; } ,update: function() { var tmp = utils_CamMesh.texture != null; } ,tween: function(duration,delay) { this.uniforms.counter.value = 0; TweenMax.to(this.uniforms.counter,duration,{ value : Math.random() < 0.5 ? Math.PI * 4 : -Math.PI * 4, ease : Cubic.easeInOut, delay : delay}); } ,__class__: projectionTest_ProjShaderMat }); var projectionTest_ProjSrc = function() { THREE.Object3D.call(this); var g = new THREE.SphereGeometry(10,10,10); var m = new THREE.MeshBasicMaterial({ color : 16711680}); }; projectionTest_ProjSrc.__name__ = true; projectionTest_ProjSrc.__super__ = THREE.Object3D; projectionTest_ProjSrc.prototype = $extend(THREE.Object3D.prototype,{ __class__: projectionTest_ProjSrc }); var projectionTest_ProjTest = function() { this._counter = 0; THREE.Object3D.call(this); this._obj = new projectionTest_ProjObj(); this.add(this._obj); this._src = new projectionTest_ProjSrc(); this._src.position.set(0,0,800); this.add(this._src); var stgW = 800; var stgH = 800; this._cam = new THREE.OrthographicCamera(-stgW / 2,stgW / 2,stgH / 2,-stgH / 2,1,1200); this._cam.position.copy(this._src.position); this._cam.lookAt(new THREE.Vector3()); this.add(this._cam); this._src.camera = this._cam; var helper = new THREE.CameraHelper(this._src.camera); }; projectionTest_ProjTest.__name__ = true; projectionTest_ProjTest.__super__ = THREE.Object3D; projectionTest_ProjTest.prototype = $extend(THREE.Object3D.prototype,{ update: function() { this._counter += 0.02; if(this._src != null) { this._obj.update(this._src); } } ,getObj: function() { return this._obj; } ,__class__: projectionTest_ProjTest }); var shader_SimplexNoise = function() { }; shader_SimplexNoise.__name__ = true; shader_SimplexNoise.prototype = { __class__: shader_SimplexNoise }; var three_Face = function() { }; three_Face.__name__ = true; three_Face.prototype = { __class__: three_Face }; var three_IFog = function() { }; three_IFog.__name__ = true; three_IFog.prototype = { __class__: three_IFog }; var three_Mapping = function() { }; three_Mapping.__name__ = true; var three_Renderer = function() { }; three_Renderer.__name__ = true; three_Renderer.prototype = { __class__: three_Renderer }; var utils_CamMesh = function() { this._hh = 256; this._ww = 256; THREE.Object3D.call(this); var w = 120; var h = 90; this._webcam = new utils_Webcam(); this._webcam.init(w,h,$bind(this,this._onStart)); }; utils_CamMesh.__name__ = true; utils_CamMesh.__super__ = THREE.Object3D; utils_CamMesh.prototype = $extend(THREE.Object3D.prototype,{ _onStart: function() { this._bitmap = new utils_MyBitmapData(); this._bitmap.initB(this._webcam.video,this._ww,this._hh); var g = new THREE.BoxGeometry(200,200,200,1,1,1); this._bitmap.drawVideo(this._ww,this._hh); utils_CamMesh.texture = new THREE.Texture(this._bitmap.getCanvas()); utils_CamMesh.texture.needsUpdate = true; this._mat = new THREE.MeshBasicMaterial({ color : 16777215}); this._mat.needsUpdate = true; this._mat.map = utils_CamMesh.texture; this._mesh = new THREE.Mesh(g,this._mat); this.add(this._mesh); } ,update: function() { if(this._bitmap == null) { return; } this._bitmap.drawVideo(this._ww,this._hh); this._mat.map.needsUpdate = true; this._mat.needsUpdate = true; } ,__class__: utils_CamMesh }); var utils_MyBitmapData = function() { this.visible = true; }; utils_MyBitmapData.__name__ = true; utils_MyBitmapData.prototype = { draw: function() { } ,initB: function(video,ww,hh,img) { if(this._canvas == null) { this._canvas = window.document.createElement("canvas"); this._canvas.id = "bitmap"; this._context = this._canvas.getContext("2d",null); this._canvas.style.position = "absolute"; this._canvas.style.zIndex = "100"; this._canvas.style.top = "0"; this._canvas.style.left = "0"; window.document.body.appendChild(this._canvas); this._video = video; this._width = ww; this._height = hh; this._canvas.width = this._width; this._canvas.height = this._height; this._context.drawImage(video,0,0,video.videoHeight,video.videoHeight,0,0,this._width,this._height); this._imageData = this._context.getImageData(0,0,this._width,this._height); } } ,drawVideo: function(ww,hh) { if(this._video != null) { this._context.drawImage(this._video,0,0,this._video.videoHeight,this._video.videoHeight,0,0,ww,hh); } else { this._context.drawImage(this._img,0,0,this._img.width,this._img.height,0,0,ww,hh); } this._imageData = this._context.getImageData(0,0,ww,hh); } ,updateImageData: function() { if(this._context != null) { this._imageData = this._context.getImageData(0,0,this._width,this._height); } } ,setPixel: function(color,x,y) { var r = (color & 16711680) >> 16; var g = (color & 65280) >> 8; var b = color & 255; var a = (color & -16777216) >> 24; var index = (this._width * y + x) * 4; this._imageData.data[index] = r; this._imageData.data[index + 1] = g; this._imageData.data[index + 2] = b; this._imageData.data[index + 3] = a; } ,getPixel: function(x,y,ww) { var index = (x + y * ww) * 4; var r = this._imageData.data[index]; var g = this._imageData.data[index + 1]; var b = this._imageData.data[index + 2]; var a = this._imageData.data[index + 3]; var rgb = r << 16 | g << 8 | b; return rgb; } ,show: function() { this.visible = true; } ,hide: function() { this.visible = false; } ,getCanvas: function() { return this._canvas; } ,kill: function() { } ,__class__: utils_MyBitmapData }; var utils_Webcam = function() { this.isError = false; }; utils_Webcam.__name__ = true; utils_Webcam.prototype = { init: function(sizeW,sizeH,callback) { this._callback = callback; this.video = window.document.createElement("video"); window.document.body.appendChild(this.video); this.video.width = sizeW; this.video.height = sizeH; var nav = window.navigator; nav.getMedia = nav.getUserMedia || nav.webkitGetUserMedia || nav.mozGetUserMedia || nav.msGetUserMedia; if(nav.getMedia == null) { this._onErr(null); } else { nav.getMedia({ video : true, audio : false},$bind(this,this._onHoge),$bind(this,this._onErr)); } } ,_onErr: function(err) { this.img = window.document.createElement("img"); this.img.onload = $bind(this,this._onLoadImg); this.img.src = "mona.jpg"; } ,_onLoadImg: function() { this.isError = true; this._callback(); } ,_onHoge: function(stream) { var win = window; this.video.src = win.URL.createObjectURL(stream); this._callback(); return true; } ,__class__: utils_Webcam }; var $_, $fid = 0; function $bind(o,m) { if( m == null ) return null; if( m.__id__ == null ) m.__id__ = $fid++; var f; if( o.hx__closures__ == null ) o.hx__closures__ = {}; else f = o.hx__closures__[m.__id__]; if( f == null ) { f = function(){ return f.method.apply(f.scope, arguments); }; f.scope = o; f.method = m; o.hx__closures__[m.__id__] = f; } return f; } String.prototype.__class__ = String; String.__name__ = true; Array.__name__ = true; var Int = { __name__ : ["Int"]}; var Dynamic = { __name__ : ["Dynamic"]}; var Float = Number; Float.__name__ = ["Float"]; var Bool = Boolean; Bool.__ename__ = ["Bool"]; var Class = { __name__ : ["Class"]}; var Enum = { }; var q = window.jQuery; var js = js || {} js.JQuery = q; var ArrayBuffer = $global.ArrayBuffer || js_html_compat_ArrayBuffer; if(ArrayBuffer.prototype.slice == null) { ArrayBuffer.prototype.slice = js_html_compat_ArrayBuffer.sliceImpl; } var Float32Array = $global.Float32Array || js_html_compat_Float32Array._new; var Uint8Array = $global.Uint8Array || js_html_compat_Uint8Array._new; Cube.SIZE = 200; Three.CullFaceNone = 0; Three.CullFaceBack = 1; Three.CullFaceFront = 2; Three.CullFaceFrontBack = 3; Three.FrontFaceDirectionCW = 0; Three.FrontFaceDirectionCCW = 1; Three.BasicShadowMap = 0; Three.PCFShadowMap = 1; Three.PCFSoftShadowMap = 2; Three.FrontSide = 0; Three.BackSide = 1; Three.DoubleSide = 2; Three.NoShading = 0; Three.FlatShading = 1; Three.SmoothShading = 2; Three.NoColors = 0; Three.FaceColors = 1; Three.VertexColors = 2; Three.NoBlending = 0; Three.NormalBlending = 1; Three.AdditiveBlending = 2; Three.SubtractiveBlending = 3; Three.MultiplyBlending = 4; Three.CustomBlending = 5; Three.AddEquation = 100; Three.SubtractEquation = 101; Three.ReverseSubtractEquation = 102; Three.ZeroFactor = 200; Three.OneFactor = 201; Three.SrcColorFactor = 202; Three.OneMinusSrcColorFactor = 203; Three.SrcAlphaFactor = 204; Three.OneMinusSrcAlphaFactor = 205; Three.DstAlphaFactor = 206; Three.OneMinusDstAlphaFactor = 207; Three.MultiplyOperation = 0; Three.MixOperation = 1; Three.AddOperation = 2; Three.RepeatWrapping = 1000; Three.ClampToEdgeWrapping = 1001; Three.MirroredRepeatWrapping = 1002; Three.NearestFilter = 1003; Three.NearestMipMapNearestFilter = 1004; Three.NearestMipMapLinearFilter = 1005; Three.LinearFilter = 1006; Three.LinearMipMapNearestFilter = 1007; Three.LinearMipMapLinearFilter = 1008; Three.UnsignedByteType = 1009; Three.ByteType = 1010; Three.ShortType = 1011; Three.UnsignedShortType = 1012; Three.IntType = 1013; Three.UnsignedIntType = 1014; Three.FloatType = 1015; Three.UnsignedShort4444Type = 1016; Three.UnsignedShort5551Type = 1017; Three.UnsignedShort565Type = 1018; Three.AlphaFormat = 1019; Three.RGBFormat = 1020; Three.RGBAFormat = 1021; Three.LuminanceFormat = 1022; Three.LuminanceAlphaFormat = 1023; Three.RGB_S3TC_DXT1_Format = 2001; Three.RGBA_S3TC_DXT1_Format = 2002; Three.RGBA_S3TC_DXT3_Format = 2003; Three.RGBA_S3TC_DXT5_Format = 2004; Three.LineStrip = 0; Three.LinePieces = 1; js_Boot.__toStr = ({ }).toString; js_html_compat_Float32Array.BYTES_PER_ELEMENT = 4; js_html_compat_Uint8Array.BYTES_PER_ELEMENT = 1; shader_SimplexNoise.glsl = "\r\n//\r\n// Description : Array and textureless GLSL 2D/3D/4D simplex \r\n// noise functions.\r\n// Author : Ian McEwan, Ashima Arts.\r\n// Maintainer : ijm\r\n// Lastmod : 20110822 (ijm)\r\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\r\n// Distributed under the MIT License. See LICENSE file.\r\n// https://github.com/ashima/webgl-noise\r\n// \r\n\r\nvec3 mod289(vec3 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 mod289(vec4 x) {\r\n\treturn x - floor(x * (1.0 / 289.0)) * 289.0;\r\n}\r\n\r\nvec4 permute(vec4 x) {\r\n\treturn mod289(((x*34.0)+1.0)*x);\r\n}\r\n\r\nvec4 taylorInvSqrt(vec4 r){\r\n\treturn 1.79284291400159 - 0.85373472095314 * r;\r\n}\r\n\r\nfloat snoise(vec3 v) { \r\n\r\n\tconst vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n\tconst vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n\r\n\t// First corner\r\n\tvec3 i = floor(v + dot(v, C.yyy) );\r\n\tvec3 x0 = v - i + dot(i, C.xxx) ;\r\n\r\n\t// Other corners\r\n\tvec3 g = step(x0.yzx, x0.xyz);\r\n\tvec3 l = 1.0 - g;\r\n\tvec3 i1 = min( g.xyz, l.zxy );\r\n\tvec3 i2 = max( g.xyz, l.zxy );\r\n\r\n\t// x0 = x0 - 0.0 + 0.0 * C.xxx;\r\n\t// x1 = x0 - i1 + 1.0 * C.xxx;\r\n\t// x2 = x0 - i2 + 2.0 * C.xxx;\r\n\t// x3 = x0 - 1.0 + 3.0 * C.xxx;\r\n\tvec3 x1 = x0 - i1 + C.xxx;\r\n\tvec3 x2 = x0 - i2 + C.yyy; // 2.0*C.x = 1/3 = C.y\r\n\tvec3 x3 = x0 - D.yyy; // -1.0+3.0*C.x = -0.5 = -D.y\r\n\r\n\t// Permutations\r\n\ti = mod289(i); \r\n\tvec4 p = permute( permute( permute( \r\n\t\t i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n\t\t+ i.y + vec4(0.0, i1.y, i2.y, 1.0 )) \r\n\t\t+ i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n\r\n\t// Gradients: 7x7 points over a square, mapped onto an octahedron.\r\n\t// The ring size 17*17 = 289 is close to a multiple of 49 (49*6 = 294)\r\n\tfloat n_ = 0.142857142857; // 1.0/7.0\r\n\tvec3 ns = n_ * D.wyz - D.xzx;\r\n\r\n\tvec4 j = p - 49.0 * floor(p * ns.z * ns.z); // mod(p,7*7)\r\n\r\n\tvec4 x_ = floor(j * ns.z);\r\n\tvec4 y_ = floor(j - 7.0 * x_ ); // mod(j,N)\r\n\r\n\tvec4 x = x_ *ns.x + ns.yyyy;\r\n\tvec4 y = y_ *ns.x + ns.yyyy;\r\n\tvec4 h = 1.0 - abs(x) - abs(y);\r\n\r\n\tvec4 b0 = vec4( x.xy, y.xy );\r\n\tvec4 b1 = vec4( x.zw, y.zw );\r\n\r\n\t//vec4 s0 = vec4(lessThan(b0,0.0))*2.0 - 1.0;\r\n\t//vec4 s1 = vec4(lessThan(b1,0.0))*2.0 - 1.0;\r\n\tvec4 s0 = floor(b0)*2.0 + 1.0;\r\n\tvec4 s1 = floor(b1)*2.0 + 1.0;\r\n\tvec4 sh = -step(h, vec4(0.0));\r\n\r\n\tvec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n\tvec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n\r\n\tvec3 p0 = vec3(a0.xy,h.x);\r\n\tvec3 p1 = vec3(a0.zw,h.y);\r\n\tvec3 p2 = vec3(a1.xy,h.z);\r\n\tvec3 p3 = vec3(a1.zw,h.w);\r\n\r\n\t//Normalise gradients\r\n\tvec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n\tp0 *= norm.x;\r\n\tp1 *= norm.y;\r\n\tp2 *= norm.z;\r\n\tp3 *= norm.w;\r\n\r\n\t// Mix final noise value\r\n\tvec4 m = max(0.6 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0);\r\n\tm = m * m;\r\n\treturn 42.0 * dot( m*m, vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ) );\r\n\r\n}\r\n\r\nvec3 snoiseVec3( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( s , s1 , s2 );\r\n\treturn c;\r\n\r\n}\r\n\r\nvec3 snoiseVec3Abs( vec3 x ){\r\n\r\n\tfloat s = snoise(vec3( x ));\r\n\tfloat s1 = snoise(vec3( x.y - 19.1 , x.z + 33.4 , x.x + 47.2 ));\r\n\tfloat s2 = snoise(vec3( x.z + 74.2 , x.x - 124.5 , x.y + 99.4 ));\r\n\tvec3 c = vec3( abs(s) , abs(s1) , abs(s2) );\r\n\treturn c;\r\n\r\n}\r\n\r\n\r\nvec3 curlNoise( vec3 p ){\r\n \r\n\tconst float e = .1;\r\n\tvec3 dx = vec3( e , 0.0 , 0.0 );\r\n\tvec3 dy = vec3( 0.0 , e , 0.0 );\r\n\tvec3 dz = vec3( 0.0 , 0.0 , e );\r\n\r\n\tvec3 p_x0 = snoiseVec3( p - dx );\r\n\tvec3 p_x1 = snoiseVec3( p + dx );\r\n\tvec3 p_y0 = snoiseVec3( p - dy );\r\n\tvec3 p_y1 = snoiseVec3( p + dy );\r\n\tvec3 p_z0 = snoiseVec3( p - dz );\r\n\tvec3 p_z1 = snoiseVec3( p + dz );\r\n\r\n\tfloat x = p_y1.z - p_y0.z - p_z1.y + p_z0.y;\r\n\tfloat y = p_z1.x - p_z0.x - p_x1.z + p_x0.z;\r\n\tfloat z = p_x1.y - p_x0.y - p_y1.x + p_y0.x;\r\n\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( vec3( x , y , z ) * divisor );\r\n\r\n}\r\n\r\nvec3 curlNoise2( vec3 p ) {\r\n\r\n\tconst float e = .1;\r\n\r\n\tvec3 xNoisePotentialDerivatives = snoiseVec3( p );\r\n\tvec3 yNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 3., -3., 1. ) );\r\n\tvec3 zNoisePotentialDerivatives = snoiseVec3( p + e * vec3( 2., 4., -3. ) );\r\n\r\n\tvec3 noiseVelocity = vec3(\r\n\t\tzNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n\t\txNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n\t\tyNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n\t);\r\n\r\n\treturn normalize( noiseVelocity );\r\n\r\n}\r\n\r\nvec4 snoiseD(vec3 v) { //returns vec4(value, dx, dy, dz)\r\n const vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\r\n const vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\r\n \r\n vec3 i = floor(v + dot(v, C.yyy) );\r\n vec3 x0 = v - i + dot(i, C.xxx) ;\r\n \r\n vec3 g = step(x0.yzx, x0.xyz);\r\n vec3 l = 1.0 - g;\r\n vec3 i1 = min( g.xyz, l.zxy );\r\n vec3 i2 = max( g.xyz, l.zxy );\r\n \r\n vec3 x1 = x0 - i1 + C.xxx;\r\n vec3 x2 = x0 - i2 + C.yyy;\r\n vec3 x3 = x0 - D.yyy;\r\n \r\n i = mod289(i);\r\n vec4 p = permute( permute( permute(\r\n i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\r\n + i.y + vec4(0.0, i1.y, i2.y, 1.0 ))\r\n + i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\r\n \r\n float n_ = 0.142857142857; // 1.0/7.0\r\n vec3 ns = n_ * D.wyz - D.xzx;\r\n \r\n vec4 j = p - 49.0 * floor(p * ns.z * ns.z);\r\n \r\n vec4 x_ = floor(j * ns.z);\r\n vec4 y_ = floor(j - 7.0 * x_ );\r\n \r\n vec4 x = x_ *ns.x + ns.yyyy;\r\n vec4 y = y_ *ns.x + ns.yyyy;\r\n vec4 h = 1.0 - abs(x) - abs(y);\r\n \r\n vec4 b0 = vec4( x.xy, y.xy );\r\n vec4 b1 = vec4( x.zw, y.zw );\r\n \r\n vec4 s0 = floor(b0)*2.0 + 1.0;\r\n vec4 s1 = floor(b1)*2.0 + 1.0;\r\n vec4 sh = -step(h, vec4(0.0));\r\n \r\n vec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\r\n vec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\r\n \r\n vec3 p0 = vec3(a0.xy,h.x);\r\n vec3 p1 = vec3(a0.zw,h.y);\r\n vec3 p2 = vec3(a1.xy,h.z);\r\n vec3 p3 = vec3(a1.zw,h.w);\r\n \r\n vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\r\n p0 *= norm.x;\r\n p1 *= norm.y;\r\n p2 *= norm.z;\r\n p3 *= norm.w;\r\n \r\n vec4 values = vec4( dot(p0,x0), dot(p1,x1), dot(p2,x2), dot(p3,x3) ); //value of contributions from each corner (extrapolate the gradient)\r\n \r\n vec4 m = max(0.5 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0); //kernel function from each corner\r\n \r\n vec4 m2 = m * m;\r\n vec4 m3 = m * m * m;\r\n \r\n vec4 temp = -6.0 * m2 * values;\r\n float dx = temp[0] * x0.x + temp[1] * x1.x + temp[2] * x2.x + temp[3] * x3.x + m3[0] * p0.x + m3[1] * p1.x + m3[2] * p2.x + m3[3] * p3.x;\r\n float dy = temp[0] * x0.y + temp[1] * x1.y + temp[2] * x2.y + temp[3] * x3.y + m3[0] * p0.y + m3[1] * p1.y + m3[2] * p2.y + m3[3] * p3.y;\r\n float dz = temp[0] * x0.z + temp[1] * x1.z + temp[2] * x2.z + temp[3] * x3.z + m3[0] * p0.z + m3[1] * p1.z + m3[2] * p2.z + m3[3] * p3.z;\r\n \r\n return vec4(dot(m3, values), dx, dy, dz) * 42.0;\r\n}\r\n\r\n\r\nvec3 curlNoise3 (vec3 p) {\r\n\r\n vec3 xNoisePotentialDerivatives = snoiseD( p ).yzw; //yzw are the xyz derivatives\r\n vec3 yNoisePotentialDerivatives = snoiseD(vec3( p.y - 19.1 , p.z + 33.4 , p.x + 47.2 )).zwy;\r\n vec3 zNoisePotentialDerivatives = snoiseD(vec3( p.z + 74.2 , p.x - 124.5 , p.y + 99.4 )).wyz;\r\n vec3 noiseVelocity = vec3(\r\n zNoisePotentialDerivatives.y - yNoisePotentialDerivatives.z,\r\n xNoisePotentialDerivatives.z - zNoisePotentialDerivatives.x,\r\n yNoisePotentialDerivatives.x - xNoisePotentialDerivatives.y\r\n );\r\n\t\r\n\tconst float e = .1;\r\n\tconst float divisor = 1.0 / ( 2.0 * e );\r\n\treturn normalize( noiseVelocity * divisor );\r\n\r\n}\r\n\t\r\n\t"; Main.main(); })(typeof window != "undefined" ? window : typeof global != "undefined" ? global : typeof self != "undefined" ? self : this);