From 5224c2eababf5d8303d17ba00d21c43c3a2b96aa Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Sat, 1 Dec 2018 00:51:59 +0100 Subject: displaying points a bit --- site/assets/js/face.js | 1 + site/assets/js/vendor/three.min.js | 963 +++++++++++++++++++++++++++++++++++++ 2 files changed, 964 insertions(+) create mode 100644 site/assets/js/face.js create mode 100644 site/assets/js/vendor/three.min.js (limited to 'site/assets/js') diff --git a/site/assets/js/face.js b/site/assets/js/face.js new file mode 100644 index 00000000..1485f3a3 --- /dev/null +++ b/site/assets/js/face.js @@ -0,0 +1 @@ +face.js \ No newline at end of file diff --git a/site/assets/js/vendor/three.min.js b/site/assets/js/vendor/three.min.js new file mode 100644 index 00000000..56300150 --- /dev/null +++ b/site/assets/js/vendor/three.min.js @@ -0,0 +1,963 @@ +// threejs.org/license +(function(l,ia){"object"===typeof exports&&"undefined"!==typeof module?ia(exports):"function"===typeof define&&define.amd?define(["exports"],ia):ia(l.THREE={})})(this,function(l){function ia(){}function z(a,b){this.x=a||0;this.y=b||0}function P(){this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];0b&&(b=a[c]);return b}function E(){Object.defineProperty(this,"id",{value:Of+=2});this.uuid=R.generateUUID();this.name="";this.type="BufferGeometry";this.index=null;this.attributes={};this.morphAttributes={};this.groups= +[];this.boundingSphere=this.boundingBox=null;this.drawRange={start:0,count:Infinity};this.userData={}}function Kb(a,b,c,d,e,f){I.call(this);this.type="BoxGeometry";this.parameters={width:a,height:b,depth:c,widthSegments:d,heightSegments:e,depthSegments:f};this.fromBufferGeometry(new pb(a,b,c,d,e,f));this.mergeVertices()}function pb(a,b,c,d,e,f){function g(a,b,c,d,e,f,g,l,X,B,Lb){var t=f/X,u=g/B,w=f/2,v=g/2,A=l/2;g=X+1;var y=B+1,H=f=0,N,z,C=new p;for(z=0;zm;m++){if(n=d[m])if(h=n[0],k=n[1]){q&&e.addAttribute("morphTarget"+m,q[h]);f&&e.addAttribute("morphNormal"+m,f[h]);c[m]=k;continue}c[m]=0}g.getUniforms().setValue(a,"morphTargetInfluences",c)}}}function $f(a,b){var c={};return{update:function(d){var e=b.render.frame,f=d.geometry,g=a.get(d,f);c[g.id]!==e&&(f.isGeometry&&g.updateFromObject(d),a.update(g),c[g.id]=e);return g},dispose:function(){c={}}}} +function Ya(a,b,c,d,e,f,g,h,k,m){a=void 0!==a?a:[];W.call(this,a,void 0!==b?b:301,c,d,e,f,g,h,k,m);this.flipY=!1}function Mb(a,b,c,d){W.call(this,null);this.image={data:a,width:b,height:c,depth:d};this.minFilter=this.magFilter=1003;this.flipY=this.generateMipmaps=!1}function Nb(a,b,c){var d=a[0];if(0>=d||0/gm, +function(a,c){a=K[c];if(void 0===a)throw Error("Can not resolve #include <"+c+">");return ae(a)})}function af(a){return a.replace(/#pragma unroll_loop[\s]+?for \( int i = (\d+); i < (\d+); i \+\+ \) \{([\s\S]+?)(?=\})\}/g,function(a,c,d,e){a="";for(c=parseInt(c);cb||a.height>b){if("data"in a){console.warn("THREE.WebGLRenderer: image in DataTexture is too big ("+a.width+"x"+a.height+")."); +return}b/=Math.max(a.width,a.height);var c=document.createElementNS("http://www.w3.org/1999/xhtml","canvas");c.width=Math.floor(a.width*b);c.height=Math.floor(a.height*b);c.getContext("2d").drawImage(a,0,0,a.width,a.height,0,0,c.width,c.height);console.warn("THREE.WebGLRenderer: image is too big ("+a.width+"x"+a.height+"). Resized to "+c.width+"x"+c.height);return c}return a}function k(a){return R.isPowerOfTwo(a.width)&&R.isPowerOfTwo(a.height)}function m(a,b){return a.generateMipmaps&&b&&1003!== +a.minFilter&&1006!==a.minFilter}function q(b,c,e,f){a.generateMipmap(b);d.get(c).__maxMipLevel=Math.log(Math.max(e,f))*Math.LOG2E}function n(a,b){if(!e.isWebGL2)return a;if(6403===a){if(5126===b)return 33326;if(5131===b)return 33325;if(5121===b)return 33321}if(6407===a){if(5126===b)return 34837;if(5131===b)return 34843;if(5121===b)return 32849}if(6408===a){if(5126===b)return 34836;if(5131===b)return 34842;if(5121===b)return 32856}return a}function r(a){return 1003===a||1004===a||1005===a?9728:9729} +function x(b){b=b.target;b.removeEventListener("dispose",x);a:{var c=d.get(b);if(b.image&&c.__image__webglTextureCube)a.deleteTexture(c.__image__webglTextureCube);else{if(void 0===c.__webglInit)break a;a.deleteTexture(c.__webglTexture)}d.remove(b)}b.isVideoTexture&&delete y[b.id];g.memory.textures--}function l(b){b=b.target;b.removeEventListener("dispose",l);var c=d.get(b),e=d.get(b.texture);if(b){void 0!==e.__webglTexture&&a.deleteTexture(e.__webglTexture);b.depthTexture&&b.depthTexture.dispose(); +if(b.isWebGLRenderTargetCube)for(e=0;6>e;e++)a.deleteFramebuffer(c.__webglFramebuffer[e]),c.__webglDepthbuffer&&a.deleteRenderbuffer(c.__webglDepthbuffer[e]);else a.deleteFramebuffer(c.__webglFramebuffer),c.__webglDepthbuffer&&a.deleteRenderbuffer(c.__webglDepthbuffer);d.remove(b.texture);d.remove(b)}g.memory.textures--}function u(a,b){var e=d.get(a);if(a.isVideoTexture){var f=a.id,h=g.render.frame;y[f]!==h&&(y[f]=h,a.update())}if(0w;w++)u[w]=r||t?t?b.image[w].image: +b.image[w]:h(b.image[w],e.maxCubemapSize);var v=u[0],X=k(v),B=f.convert(b.format),y=f.convert(b.type),H=n(B,y);p(34067,b,X);for(w=0;6>w;w++)if(r)for(var A,N=u[w].mipmaps,z=0,C=N.length;zr;r++)e.__webglFramebuffer[r]=a.createFramebuffer()}else e.__webglFramebuffer=a.createFramebuffer();if(h){c.bindTexture(34067,f.__webglTexture);p(34067,b.texture,n);for(r=0;6>r;r++)v(e.__webglFramebuffer[r],b,36064,34069+r);m(b.texture,n)&&q(34067,b.texture,b.width,b.height);c.bindTexture(34067,null)}else c.bindTexture(3553,f.__webglTexture),p(3553,b.texture, +n),v(e.__webglFramebuffer,b,36064,3553),m(b.texture,n)&&q(3553,b.texture,b.width,b.height),c.bindTexture(3553,null);if(b.depthBuffer){e=d.get(b);f=!0===b.isWebGLRenderTargetCube;if(b.depthTexture){if(f)throw Error("target.depthTexture not supported in Cube render targets");if(b&&b.isWebGLRenderTargetCube)throw Error("Depth Texture with cube render targets is not supported");a.bindFramebuffer(36160,e.__webglFramebuffer);if(!b.depthTexture||!b.depthTexture.isDepthTexture)throw Error("renderTarget.depthTexture must be an instance of THREE.DepthTexture"); +d.get(b.depthTexture).__webglTexture&&b.depthTexture.image.width===b.width&&b.depthTexture.image.height===b.height||(b.depthTexture.image.width=b.width,b.depthTexture.image.height=b.height,b.depthTexture.needsUpdate=!0);u(b.depthTexture,0);e=d.get(b.depthTexture).__webglTexture;if(1026===b.depthTexture.format)a.framebufferTexture2D(36160,36096,3553,e,0);else if(1027===b.depthTexture.format)a.framebufferTexture2D(36160,33306,3553,e,0);else throw Error("Unknown depthTexture format");}else if(f)for(e.__webglDepthbuffer= +[],f=0;6>f;f++)a.bindFramebuffer(36160,e.__webglFramebuffer[f]),e.__webglDepthbuffer[f]=a.createRenderbuffer(),H(e.__webglDepthbuffer[f],b);else a.bindFramebuffer(36160,e.__webglFramebuffer),e.__webglDepthbuffer=a.createRenderbuffer(),H(e.__webglDepthbuffer,b);a.bindFramebuffer(36160,null)}};this.updateRenderTargetMipmap=function(a){var b=a.texture,e=k(a);if(m(b,e)){e=a.isWebGLRenderTargetCube?34067:3553;var f=d.get(b).__webglTexture;c.bindTexture(e,f);q(e,b,a.width,a.height);c.bindTexture(e,null)}}} +function df(a,b,c){return{convert:function(a){if(1E3===a)return 10497;if(1001===a)return 33071;if(1002===a)return 33648;if(1003===a)return 9728;if(1004===a)return 9984;if(1005===a)return 9986;if(1006===a)return 9729;if(1007===a)return 9985;if(1008===a)return 9987;if(1009===a)return 5121;if(1017===a)return 32819;if(1018===a)return 32820;if(1019===a)return 33635;if(1010===a)return 5120;if(1011===a)return 5122;if(1012===a)return 5123;if(1013===a)return 5124;if(1014===a)return 5125;if(1015===a)return 5126; +if(1016===a){if(c.isWebGL2)return 5131;var d=b.get("OES_texture_half_float");if(null!==d)return d.HALF_FLOAT_OES}if(1021===a)return 6406;if(1022===a)return 6407;if(1023===a)return 6408;if(1024===a)return 6409;if(1025===a)return 6410;if(1026===a)return 6402;if(1027===a)return 34041;if(1028===a)return 6403;if(100===a)return 32774;if(101===a)return 32778;if(102===a)return 32779;if(200===a)return 0;if(201===a)return 1;if(202===a)return 768;if(203===a)return 769;if(204===a)return 770;if(205===a)return 771; +if(206===a)return 772;if(207===a)return 773;if(208===a)return 774;if(209===a)return 775;if(210===a)return 776;if(33776===a||33777===a||33778===a||33779===a)if(d=b.get("WEBGL_compressed_texture_s3tc"),null!==d){if(33776===a)return d.COMPRESSED_RGB_S3TC_DXT1_EXT;if(33777===a)return d.COMPRESSED_RGBA_S3TC_DXT1_EXT;if(33778===a)return d.COMPRESSED_RGBA_S3TC_DXT3_EXT;if(33779===a)return d.COMPRESSED_RGBA_S3TC_DXT5_EXT}if(35840===a||35841===a||35842===a||35843===a)if(d=b.get("WEBGL_compressed_texture_pvrtc"), +null!==d){if(35840===a)return d.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;if(35841===a)return d.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;if(35842===a)return d.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;if(35843===a)return d.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG}if(36196===a&&(d=b.get("WEBGL_compressed_texture_etc1"),null!==d))return d.COMPRESSED_RGB_ETC1_WEBGL;if(37808===a||37809===a||37810===a||37811===a||37812===a||37813===a||37814===a||37815===a||37816===a||37817===a||37818===a||37819===a||37820===a||37821===a)if(d=b.get("WEBGL_compressed_texture_astc"), +null!==d)return a;if(103===a||104===a){if(c.isWebGL2){if(103===a)return 32775;if(104===a)return 32776}d=b.get("EXT_blend_minmax");if(null!==d){if(103===a)return d.MIN_EXT;if(104===a)return d.MAX_EXT}}if(1020===a){if(c.isWebGL2)return 34042;d=b.get("WEBGL_depth_texture");if(null!==d)return d.UNSIGNED_INT_24_8_WEBGL}return 0}}}function Ob(){D.call(this);this.type="Group"}function Ra(){D.call(this);this.type="Camera";this.matrixWorldInverse=new P;this.projectionMatrix=new P;this.projectionMatrixInverse= +new P}function V(a,b,c,d){Ra.call(this);this.type="PerspectiveCamera";this.fov=void 0!==a?a:50;this.zoom=1;this.near=void 0!==c?c:.1;this.far=void 0!==d?d:2E3;this.focus=10;this.aspect=void 0!==b?b:1;this.view=null;this.filmGauge=35;this.filmOffset=0;this.updateProjectionMatrix()}function Cc(a){V.call(this);this.cameras=a||[]}function ef(a,b,c){ff.setFromMatrixPosition(b.matrixWorld);gf.setFromMatrixPosition(c.matrixWorld);var d=ff.distanceTo(gf),e=b.projectionMatrix.elements,f=c.projectionMatrix.elements, +g=e[14]/(e[10]-1);c=e[14]/(e[10]+1);var h=(e[9]+1)/e[5],k=(e[9]-1)/e[5],m=(e[8]-1)/e[0],q=(f[8]+1)/f[0];e=g*m;f=g*q;q=d/(-m+q);m=q*-m;b.matrixWorld.decompose(a.position,a.quaternion,a.scale);a.translateX(m);a.translateZ(q);a.matrixWorld.compose(a.position,a.quaternion,a.scale);a.matrixWorldInverse.getInverse(a.matrixWorld);b=g+q;g=c+q;a.projectionMatrix.makePerspective(e-m,f+(d-m),h*c/g*b,k*c/g*b,b,g)}function hf(a){function b(){return null!==e&&!0===e.isPresenting}function c(){if(b()){var c=e.getEyeParameters("left"), +f=c.renderWidth*q;c=c.renderHeight*q;H=a.getPixelRatio();v=a.getSize();a.setDrawingBufferSize(2*f,c,1);N.start()}else d.enabled&&a.setDrawingBufferSize(v.width,v.height,H),N.stop()}var d=this,e=null,f=null,g=null,h=[],k=new P,m=new P,q=1,n="stage";"undefined"!==typeof window&&"VRFrameData"in window&&(f=new window.VRFrameData,window.addEventListener("vrdisplaypresentchange",c,!1));var r=new P,l=new ja,t=new p,u=new V;u.bounds=new Z(0,0,.5,1);u.layers.enable(1);var w=new V;w.bounds=new Z(.5,0,.5,1); +w.layers.enable(2);var A=new Cc([u,w]);A.layers.enable(1);A.layers.enable(2);var v,H,y=[];this.enabled=!1;this.getController=function(a){var b=h[a];void 0===b&&(b=new Ob,b.matrixAutoUpdate=!1,b.visible=!1,h[a]=b);return b};this.getDevice=function(){return e};this.setDevice=function(a){void 0!==a&&(e=a);N.setContext(a)};this.setFramebufferScaleFactor=function(a){q=a};this.setFrameOfReferenceType=function(a){n=a};this.setPoseTarget=function(a){void 0!==a&&(g=a)};this.getCamera=function(a){var b="stage"=== +n?1.6:0;if(null===e)return a.position.set(0,b,0),a;e.depthNear=a.near;e.depthFar=a.far;e.getFrameData(f);if("stage"===n){var c=e.stageParameters;c?k.fromArray(c.sittingToStandingTransform):k.makeTranslation(0,b,0)}b=f.pose;c=null!==g?g:a;c.matrix.copy(k);c.matrix.decompose(c.position,c.quaternion,c.scale);null!==b.orientation&&(l.fromArray(b.orientation),c.quaternion.multiply(l));null!==b.position&&(l.setFromRotationMatrix(k),t.fromArray(b.position),t.applyQuaternion(l),c.position.add(t));c.updateMatrixWorld(); +if(!1===e.isPresenting)return a;u.near=a.near;w.near=a.near;u.far=a.far;w.far=a.far;u.matrixWorldInverse.fromArray(f.leftViewMatrix);w.matrixWorldInverse.fromArray(f.rightViewMatrix);m.getInverse(k);"stage"===n&&(u.matrixWorldInverse.multiply(m),w.matrixWorldInverse.multiply(m));a=c.parent;null!==a&&(r.getInverse(a.matrixWorld),u.matrixWorldInverse.multiply(r),w.matrixWorldInverse.multiply(r));u.matrixWorld.getInverse(u.matrixWorldInverse);w.matrixWorld.getInverse(w.matrixWorldInverse);u.projectionMatrix.fromArray(f.leftProjectionMatrix); +w.projectionMatrix.fromArray(f.rightProjectionMatrix);ef(A,u,w);a=e.getLayers();a.length&&(a=a[0],null!==a.leftBounds&&4===a.leftBounds.length&&u.bounds.fromArray(a.leftBounds),null!==a.rightBounds&&4===a.rightBounds.length&&w.bounds.fromArray(a.rightBounds));a:for(a=0;af.normalMatrix.determinant();ba.setMaterial(e,h);var k=r(a,c, +e,f),m=!1;if(b!==d.id||K!==k.id||sd!==(!0===e.wireframe))b=d.id,K=k.id,sd=!0===e.wireframe,m=!0;f.morphTargetInfluences&&(ya.update(f,d,e,k),m=!0);h=d.index;var q=d.attributes.position;c=1;!0===e.wireframe&&(h=ua.getWireframeAttribute(d),c=2);a=Aa;if(null!==h){var n=ra.get(h);a=Ba;a.setIndex(n)}if(m){if(d&&d.isInstancedBufferGeometry&!xa.isWebGL2&&null===la.get("ANGLE_instanced_arrays"))console.error("THREE.WebGLRenderer.setupVertexAttributes: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays."); +else{ba.initAttributes();m=d.attributes;k=k.getAttributes();var l=e.defaultAttributeValues;for(B in k){var x=k[B];if(0<=x){var t=m[B];if(void 0!==t){var u=t.normalized,w=t.itemSize,p=ra.get(t);if(void 0!==p){var v=p.buffer,A=p.type;p=p.bytesPerElement;if(t.isInterleavedBufferAttribute){var y=t.data,H=y.stride;t=t.offset;y&&y.isInstancedInterleavedBuffer?(ba.enableAttributeAndDivisor(x,y.meshPerAttribute),void 0===d.maxInstancedCount&&(d.maxInstancedCount=y.meshPerAttribute*y.count)):ba.enableAttribute(x); +O.bindBuffer(34962,v);O.vertexAttribPointer(x,w,A,u,H*p,t*p)}else t.isInstancedBufferAttribute?(ba.enableAttributeAndDivisor(x,t.meshPerAttribute),void 0===d.maxInstancedCount&&(d.maxInstancedCount=t.meshPerAttribute*t.count)):ba.enableAttribute(x),O.bindBuffer(34962,v),O.vertexAttribPointer(x,w,A,u,0,0)}}else if(void 0!==l&&(u=l[B],void 0!==u))switch(u.length){case 2:O.vertexAttrib2fv(x,u);break;case 3:O.vertexAttrib3fv(x,u);break;case 4:O.vertexAttrib4fv(x,u);break;default:O.vertexAttrib1fv(x,u)}}}ba.disableUnusedAttributes()}null!== +h&&O.bindBuffer(34963,n.buffer)}n=Infinity;null!==h?n=h.count:void 0!==q&&(n=q.count);h=d.drawRange.start*c;q=null!==g?g.start*c:0;var B=Math.max(h,q);g=Math.max(0,Math.min(n,h+d.drawRange.count*c,q+(null!==g?g.count*c:Infinity))-1-B+1);if(0!==g){if(f.isMesh)if(!0===e.wireframe)ba.setLineWidth(e.wireframeLinewidth*(null===I?U:1)),a.setMode(1);else switch(f.drawMode){case 0:a.setMode(4);break;case 1:a.setMode(5);break;case 2:a.setMode(6)}else f.isLine?(e=e.linewidth,void 0===e&&(e=1),ba.setLineWidth(e* +(null===I?U:1)),f.isLineSegments?a.setMode(1):f.isLineLoop?a.setMode(2):a.setMode(3)):f.isPoints?a.setMode(0):f.isSprite&&a.setMode(4);d&&d.isInstancedBufferGeometry?0=xa.maxTextures&&console.warn("THREE.WebGLRenderer: Trying to use "+a+" texture units while this GPU supports only "+ +xa.maxTextures);ca+=1;return a};this.setTexture2D=function(){var a=!1;return function(b,c){b&&b.isWebGLRenderTarget&&(a||(console.warn("THREE.WebGLRenderer.setTexture2D: don't use render targets as textures. Use their .texture property instead."),a=!0),b=b.texture);ha.setTexture2D(b,c)}}();this.setTexture3D=function(){return function(a,b){ha.setTexture3D(a,b)}}();this.setTexture=function(){var a=!1;return function(b,c){a||(console.warn("THREE.WebGLRenderer: .setTexture is deprecated, use setTexture2D instead."), +a=!0);ha.setTexture2D(b,c)}}();this.setTextureCube=function(){var a=!1;return function(b,c){b&&b.isWebGLRenderTargetCube&&(a||(console.warn("THREE.WebGLRenderer.setTextureCube: don't use cube render targets as textures. Use their .texture property instead."),a=!0),b=b.texture);b&&b.isCubeTexture||Array.isArray(b.image)&&6===b.image.length?ha.setTextureCube(b,c):ha.setTextureCubeDynamic(b,c)}}();this.setFramebuffer=function(a){Q=a};this.getRenderTarget=function(){return I};this.setRenderTarget=function(a){(I= +a)&&void 0===Da.get(a).__webglFramebuffer&&ha.setupRenderTarget(a);var b=Q,c=!1;a?(b=Da.get(a).__webglFramebuffer,a.isWebGLRenderTargetCube&&(b=b[a.activeCubeFace],c=!0),S.copy(a.viewport),Bc.copy(a.scissor),ea=a.scissorTest):(S.copy(fa).multiplyScalar(U),Bc.copy(ja).multiplyScalar(U),ea=sa);L!==b&&(O.bindFramebuffer(36160,b),L=b);ba.viewport(S);ba.scissor(Bc);ba.setScissorTest(ea);c&&(c=Da.get(a.texture),O.framebufferTexture2D(36160,36064,34069+a.activeCubeFace,c.__webglTexture,a.activeMipMapLevel))}; +this.readRenderTargetPixels=function(a,b,c,d,e,f){if(a&&a.isWebGLRenderTarget){var g=Da.get(a).__webglFramebuffer;if(g){var h=!1;g!==L&&(O.bindFramebuffer(36160,g),h=!0);try{var k=a.texture,m=k.format,q=k.type;1023!==m&&ia.convert(m)!==O.getParameter(35739)?console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format."):1009===q||ia.convert(q)===O.getParameter(35738)||1015===q&&(xa.isWebGL2||la.get("OES_texture_float")||la.get("WEBGL_color_buffer_float"))|| +1016===q&&(xa.isWebGL2?la.get("EXT_color_buffer_float"):la.get("EXT_color_buffer_half_float"))?36053===O.checkFramebufferStatus(36160)?0<=b&&b<=a.width-d&&0<=c&&c<=a.height-e&&O.readPixels(b,c,d,e,ia.convert(m),ia.convert(q),f):console.error("THREE.WebGLRenderer.readRenderTargetPixels: readPixels from renderTarget failed. Framebuffer not complete."):console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.")}finally{h&&O.bindFramebuffer(36160, +L)}}}else console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.")};this.copyFramebufferToTexture=function(a,b,c){var d=b.image.width,e=b.image.height,f=ia.convert(b.format);this.setTexture2D(b,0);O.copyTexImage2D(3553,c||0,f,a.x,a.y,d,e,0)};this.copyTextureToTexture=function(a,b,c,d){var e=b.image.width,f=b.image.height,g=ia.convert(c.format),h=ia.convert(c.type);this.setTexture2D(c,0);b.isDataTexture?O.texSubImage2D(3553,d||0,a.x,a.y,e,f,g,h,b.image.data): +O.texSubImage2D(3553,d||0,a.x,a.y,g,h,b.image)}}function Pb(a,b){this.name="";this.color=new G(a);this.density=void 0!==b?b:2.5E-4}function Qb(a,b,c){this.name="";this.color=new G(a);this.near=void 0!==b?b:1;this.far=void 0!==c?c:1E3}function 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w=l/b;a(w,u,k);e.push(k.x,k.y,k.z);0<=w-1E-5?(a(w-1E-5,u,m),q.subVectors(k,m)):(a(w+1E-5,u,m),q.subVectors(m,k));0<=u-1E-5?(a(w,u-1E-5,m),n.subVectors(k,m)):(a(w,u+1E-5,m),n.subVectors(m,k));h.crossVectors(q,n).normalize();f.push(h.x,h.y,h.z);g.push(w,u)}}for(r=0;rd&&1===a.x&&(k[b]=a.x-1);0===c.x&&0===c.z&&(k[b]=d/2/Math.PI+.5)}E.call(this);this.type="PolyhedronBufferGeometry";this.parameters={vertices:a, +indices:b,radius:c,detail:d};c=c||1;d=d||0;var h=[],k=[];(function(a){for(var c=new p,d=new p,g=new p,h=0;he&&(.2>b&&(k[a+0]+=1),.2>c&&(k[a+2]+=1),.2>d&&(k[a+4]+=1))})();this.addAttribute("position",new C(h,3));this.addAttribute("normal",new C(h.slice(),3));this.addAttribute("uv",new C(k,2));0===d?this.computeVertexNormals():this.normalizeNormals()}function Lc(a, +b){I.call(this);this.type="TetrahedronGeometry";this.parameters={radius:a,detail:b};this.fromBufferGeometry(new Wb(a,b));this.mergeVertices()}function Wb(a,b){ya.call(this,[1,1,1,-1,-1,1,-1,1,-1,1,-1,-1],[2,1,0,0,3,2,1,3,0,2,3,1],a,b);this.type="TetrahedronBufferGeometry";this.parameters={radius:a,detail:b}}function Mc(a,b){I.call(this);this.type="OctahedronGeometry";this.parameters={radius:a,detail:b};this.fromBufferGeometry(new tb(a,b));this.mergeVertices()}function tb(a,b){ya.call(this,[1,0,0, +-1,0,0,0,1,0,0,-1,0,0,0,1,0,0,-1],[0,2,4,0,4,3,0,3,5,0,5,2,1,2,5,1,5,3,1,3,4,1,4,2],a,b);this.type="OctahedronBufferGeometry";this.parameters={radius:a,detail:b}}function Nc(a,b){I.call(this);this.type="IcosahedronGeometry";this.parameters={radius:a,detail:b};this.fromBufferGeometry(new Xb(a,b));this.mergeVertices()}function Xb(a,b){var c=(1+Math.sqrt(5))/2;ya.call(this,[-1,c,0,1,c,0,-1,-c,0,1,-c,0,0,-1,c,0,1,c,0,-1,-c,0,1,-c,c,0,-1,c,0,1,-c,0,-1,-c,0,1],[0,11,5,0,5,1,0,1,7,0,7,10,0,10,11,1,5,9,5, 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Pc(a,b,c,d,e,f){I.call(this);this.type="TubeGeometry";this.parameters={path:a,tubularSegments:b,radius:c,radialSegments:d, +closed:e};void 0!==f&&console.warn("THREE.TubeGeometry: taper has been removed.");a=new Zb(a,b,c,d,e);this.tangents=a.tangents;this.normals=a.normals;this.binormals=a.binormals;this.fromBufferGeometry(a);this.mergeVertices()}function Zb(a,b,c,d,e){function f(e){q=a.getPointAt(e/b,q);var f=g.normals[e];e=g.binormals[e];for(r=0;r<=d;r++){var m=r/d*Math.PI*2,n=Math.sin(m);m=-Math.cos(m);k.x=m*f.x+n*e.x;k.y=m*f.y+n*e.y;k.z=m*f.z+n*e.z;k.normalize();t.push(k.x,k.y,k.z);h.x=q.x+c*k.x;h.y=q.y+c*k.y;h.z= +q.z+c*k.z;l.push(h.x,h.y,h.z)}}E.call(this);this.type="TubeBufferGeometry";this.parameters={path:a,tubularSegments:b,radius:c,radialSegments:d,closed:e};b=b||64;c=c||1;d=d||8;e=e||!1;var g=a.computeFrenetFrames(b,e);this.tangents=g.tangents;this.normals=g.normals;this.binormals=g.binormals;var h=new p,k=new p,m=new z,q=new 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this.constructor(this.x,this.y)},copy:function(a){this.x=a.x;this.y=a.y;return this},add:function(a, +b){if(void 0!==b)return console.warn("THREE.Vector2: .add() now only accepts one argument. Use .addVectors( a, b ) instead."),this.addVectors(a,b);this.x+=a.x;this.y+=a.y;return this},addScalar:function(a){this.x+=a;this.y+=a;return this},addVectors:function(a,b){this.x=a.x+b.x;this.y=a.y+b.y;return this},addScaledVector:function(a,b){this.x+=a.x*b;this.y+=a.y*b;return this},sub:function(a,b){if(void 0!==b)return console.warn("THREE.Vector2: .sub() now only accepts one argument. Use .subVectors( a, b ) instead."), +this.subVectors(a,b);this.x-=a.x;this.y-=a.y;return this},subScalar:function(a){this.x-=a;this.y-=a;return this},subVectors:function(a,b){this.x=a.x-b.x;this.y=a.y-b.y;return this},multiply:function(a){this.x*=a.x;this.y*=a.y;return this},multiplyScalar:function(a){this.x*=a;this.y*=a;return this},divide:function(a){this.x/=a.x;this.y/=a.y;return this},divideScalar:function(a){return this.multiplyScalar(1/a)},applyMatrix3:function(a){var b=this.x,c=this.y;a=a.elements;this.x=a[0]*b+a[3]*c+a[6];this.y= +a[1]*b+a[4]*c+a[7];return this},min:function(a){this.x=Math.min(this.x,a.x);this.y=Math.min(this.y,a.y);return this},max:function(a){this.x=Math.max(this.x,a.x);this.y=Math.max(this.y,a.y);return this},clamp:function(a,b){this.x=Math.max(a.x,Math.min(b.x,this.x));this.y=Math.max(a.y,Math.min(b.y,this.y));return this},clampScalar:function(){var a=new z,b=new z;return function(c,d){a.set(c,c);b.set(d,d);return this.clamp(a,b)}}(),clampLength:function(a,b){var c=this.length();return this.divideScalar(c|| +1).multiplyScalar(Math.max(a,Math.min(b,c)))},floor:function(){this.x=Math.floor(this.x);this.y=Math.floor(this.y);return this},ceil:function(){this.x=Math.ceil(this.x);this.y=Math.ceil(this.y);return this},round:function(){this.x=Math.round(this.x);this.y=Math.round(this.y);return this},roundToZero:function(){this.x=0>this.x?Math.ceil(this.x):Math.floor(this.x);this.y=0>this.y?Math.ceil(this.y):Math.floor(this.y);return this},negate:function(){this.x=-this.x;this.y=-this.y;return this},dot:function(a){return this.x* +a.x+this.y*a.y},cross:function(a){return this.x*a.y-this.y*a.x},lengthSq:function(){return this.x*this.x+this.y*this.y},length:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},manhattanLength:function(){return Math.abs(this.x)+Math.abs(this.y)},normalize:function(){return this.divideScalar(this.length()||1)},angle:function(){var a=Math.atan2(this.y,this.x);0>a&&(a+=2*Math.PI);return a},distanceTo:function(a){return Math.sqrt(this.distanceToSquared(a))},distanceToSquared:function(a){var b= +this.x-a.x;a=this.y-a.y;return b*b+a*a},manhattanDistanceTo:function(a){return Math.abs(this.x-a.x)+Math.abs(this.y-a.y)},setLength:function(a){return this.normalize().multiplyScalar(a)},lerp:function(a,b){this.x+=(a.x-this.x)*b;this.y+=(a.y-this.y)*b;return this},lerpVectors:function(a,b,c){return this.subVectors(b,a).multiplyScalar(c).add(a)},equals:function(a){return a.x===this.x&&a.y===this.y},fromArray:function(a,b){void 0===b&&(b=0);this.x=a[b];this.y=a[b+1];return this},toArray:function(a, +b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this.x;a[b+1]=this.y;return a},fromBufferAttribute:function(a,b,c){void 0!==c&&console.warn("THREE.Vector2: offset has been removed from .fromBufferAttribute().");this.x=a.getX(b);this.y=a.getY(b);return this},rotateAround:function(a,b){var c=Math.cos(b);b=Math.sin(b);var d=this.x-a.x,e=this.y-a.y;this.x=d*c-e*b+a.x;this.y=d*b+e*c+a.y;return this}});Object.assign(P.prototype,{isMatrix4:!0,set:function(a,b,c,d,e,f,g,h,k,m,q,l,r,p,t,u){var n=this.elements; +n[0]=a;n[4]=b;n[8]=c;n[12]=d;n[1]=e;n[5]=f;n[9]=g;n[13]=h;n[2]=k;n[6]=m;n[10]=q;n[14]=l;n[3]=r;n[7]=p;n[11]=t;n[15]=u;return this},identity:function(){this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1);return this},clone:function(){return(new P).fromArray(this.elements)},copy:function(a){var b=this.elements;a=a.elements;b[0]=a[0];b[1]=a[1];b[2]=a[2];b[3]=a[3];b[4]=a[4];b[5]=a[5];b[6]=a[6];b[7]=a[7];b[8]=a[8];b[9]=a[9];b[10]=a[10];b[11]=a[11];b[12]=a[12];b[13]=a[13];b[14]=a[14];b[15]=a[15];return this},copyPosition:function(a){var b= +this.elements;a=a.elements;b[12]=a[12];b[13]=a[13];b[14]=a[14];return this},extractBasis:function(a,b,c){a.setFromMatrixColumn(this,0);b.setFromMatrixColumn(this,1);c.setFromMatrixColumn(this,2);return this},makeBasis:function(a,b,c){this.set(a.x,b.x,c.x,0,a.y,b.y,c.y,0,a.z,b.z,c.z,0,0,0,0,1);return this},extractRotation:function(){var a=new p;return function(b){var c=this.elements,d=b.elements,e=1/a.setFromMatrixColumn(b,0).length(),f=1/a.setFromMatrixColumn(b,1).length();b=1/a.setFromMatrixColumn(b, +2).length();c[0]=d[0]*e;c[1]=d[1]*e;c[2]=d[2]*e;c[3]=0;c[4]=d[4]*f;c[5]=d[5]*f;c[6]=d[6]*f;c[7]=0;c[8]=d[8]*b;c[9]=d[9]*b;c[10]=d[10]*b;c[11]=0;c[12]=0;c[13]=0;c[14]=0;c[15]=1;return this}}(),makeRotationFromEuler:function(a){a&&a.isEuler||console.error("THREE.Matrix4: .makeRotationFromEuler() now expects a Euler rotation rather than a Vector3 and order.");var b=this.elements,c=a.x,d=a.y,e=a.z,f=Math.cos(c);c=Math.sin(c);var g=Math.cos(d);d=Math.sin(d);var h=Math.cos(e);e=Math.sin(e);if("XYZ"===a.order){a= +f*h;var k=f*e,m=c*h,q=c*e;b[0]=g*h;b[4]=-g*e;b[8]=d;b[1]=k+m*d;b[5]=a-q*d;b[9]=-c*g;b[2]=q-a*d;b[6]=m+k*d;b[10]=f*g}else"YXZ"===a.order?(a=g*h,k=g*e,m=d*h,q=d*e,b[0]=a+q*c,b[4]=m*c-k,b[8]=f*d,b[1]=f*e,b[5]=f*h,b[9]=-c,b[2]=k*c-m,b[6]=q+a*c,b[10]=f*g):"ZXY"===a.order?(a=g*h,k=g*e,m=d*h,q=d*e,b[0]=a-q*c,b[4]=-f*e,b[8]=m+k*c,b[1]=k+m*c,b[5]=f*h,b[9]=q-a*c,b[2]=-f*d,b[6]=c,b[10]=f*g):"ZYX"===a.order?(a=f*h,k=f*e,m=c*h,q=c*e,b[0]=g*h,b[4]=m*d-k,b[8]=a*d+q,b[1]=g*e,b[5]=q*d+a,b[9]=k*d-m,b[2]=-d,b[6]=c* +g,b[10]=f*g):"YZX"===a.order?(a=f*g,k=f*d,m=c*g,q=c*d,b[0]=g*h,b[4]=q-a*e,b[8]=m*e+k,b[1]=e,b[5]=f*h,b[9]=-c*h,b[2]=-d*h,b[6]=k*e+m,b[10]=a-q*e):"XZY"===a.order&&(a=f*g,k=f*d,m=c*g,q=c*d,b[0]=g*h,b[4]=-e,b[8]=d*h,b[1]=a*e+q,b[5]=f*h,b[9]=k*e-m,b[2]=m*e-k,b[6]=c*h,b[10]=q*e+a);b[3]=0;b[7]=0;b[11]=0;b[12]=0;b[13]=0;b[14]=0;b[15]=1;return this},makeRotationFromQuaternion:function(){var a=new p(0,0,0),b=new p(1,1,1);return function(c){return this.compose(a,c,b)}}(),lookAt:function(){var a=new p,b=new p, +c=new p;return function(d,e,f){var g=this.elements;c.subVectors(d,e);0===c.lengthSq()&&(c.z=1);c.normalize();a.crossVectors(f,c);0===a.lengthSq()&&(1===Math.abs(f.z)?c.x+=1E-4:c.z+=1E-4,c.normalize(),a.crossVectors(f,c));a.normalize();b.crossVectors(c,a);g[0]=a.x;g[4]=b.x;g[8]=c.x;g[1]=a.y;g[5]=b.y;g[9]=c.y;g[2]=a.z;g[6]=b.z;g[10]=c.z;return this}}(),multiply:function(a,b){return void 0!==b?(console.warn("THREE.Matrix4: .multiply() now only accepts one argument. Use .multiplyMatrices( a, b ) instead."), +this.multiplyMatrices(a,b)):this.multiplyMatrices(this,a)},premultiply:function(a){return this.multiplyMatrices(a,this)},multiplyMatrices:function(a,b){var c=a.elements,d=b.elements;b=this.elements;a=c[0];var e=c[4],f=c[8],g=c[12],h=c[1],k=c[5],m=c[9],q=c[13],n=c[2],l=c[6],p=c[10],t=c[14],u=c[3],w=c[7],A=c[11];c=c[15];var v=d[0],H=d[4],y=d[8],N=d[12],z=d[1],B=d[5],C=d[9],E=d[13],D=d[2],F=d[6],G=d[10],J=d[14],L=d[3],I=d[7],K=d[11];d=d[15];b[0]=a*v+e*z+f*D+g*L;b[4]=a*H+e*B+f*F+g*I;b[8]=a*y+e*C+f*G+ +g*K;b[12]=a*N+e*E+f*J+g*d;b[1]=h*v+k*z+m*D+q*L;b[5]=h*H+k*B+m*F+q*I;b[9]=h*y+k*C+m*G+q*K;b[13]=h*N+k*E+m*J+q*d;b[2]=n*v+l*z+p*D+t*L;b[6]=n*H+l*B+p*F+t*I;b[10]=n*y+l*C+p*G+t*K;b[14]=n*N+l*E+p*J+t*d;b[3]=u*v+w*z+A*D+c*L;b[7]=u*H+w*B+A*F+c*I;b[11]=u*y+w*C+A*G+c*K;b[15]=u*N+w*E+A*J+c*d;return this},multiplyScalar:function(a){var b=this.elements;b[0]*=a;b[4]*=a;b[8]*=a;b[12]*=a;b[1]*=a;b[5]*=a;b[9]*=a;b[13]*=a;b[2]*=a;b[6]*=a;b[10]*=a;b[14]*=a;b[3]*=a;b[7]*=a;b[11]*=a;b[15]*=a;return this},applyToBufferAttribute:function(){var a= +new p;return function(b){for(var c=0,d=b.count;cthis.determinant()&&(g=-g);c.x=f[12];c.y=f[13];c.z=f[14];b.copy(this);c=1/g;f=1/h;var m=1/k;b.elements[0]*=c;b.elements[1]*=c;b.elements[2]*=c;b.elements[4]*=f;b.elements[5]*=f;b.elements[6]*=f;b.elements[8]*=m;b.elements[9]*=m;b.elements[10]*=m;d.setFromRotationMatrix(b);e.x=g;e.y=h;e.z=k;return this}}(),makePerspective:function(a,b,c,d,e,f){void 0===f&&console.warn("THREE.Matrix4: .makePerspective() has been redefined and has a new signature. Please check the docs."); +var g=this.elements;g[0]=2*e/(b-a);g[4]=0;g[8]=(b+a)/(b-a);g[12]=0;g[1]=0;g[5]=2*e/(c-d);g[9]=(c+d)/(c-d);g[13]=0;g[2]=0;g[6]=0;g[10]=-(f+e)/(f-e);g[14]=-2*f*e/(f-e);g[3]=0;g[7]=0;g[11]=-1;g[15]=0;return this},makeOrthographic:function(a,b,c,d,e,f){var g=this.elements,h=1/(b-a),k=1/(c-d),m=1/(f-e);g[0]=2*h;g[4]=0;g[8]=0;g[12]=-((b+a)*h);g[1]=0;g[5]=2*k;g[9]=0;g[13]=-((c+d)*k);g[2]=0;g[6]=0;g[10]=-2*m;g[14]=-((f+e)*m);g[3]=0;g[7]=0;g[11]=0;g[15]=1;return this},equals:function(a){var b=this.elements; +a=a.elements;for(var c=0;16>c;c++)if(b[c]!==a[c])return!1;return!0},fromArray:function(a,b){void 0===b&&(b=0);for(var c=0;16>c;c++)this.elements[c]=a[c+b];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);var c=this.elements;a[b]=c[0];a[b+1]=c[1];a[b+2]=c[2];a[b+3]=c[3];a[b+4]=c[4];a[b+5]=c[5];a[b+6]=c[6];a[b+7]=c[7];a[b+8]=c[8];a[b+9]=c[9];a[b+10]=c[10];a[b+11]=c[11];a[b+12]=c[12];a[b+13]=c[13];a[b+14]=c[14];a[b+15]=c[15];return a}});Object.assign(ja,{slerp:function(a,b,c,d){return c.copy(a).slerp(b, +d)},slerpFlat:function(a,b,c,d,e,f,g){var h=c[d+0],k=c[d+1],m=c[d+2];c=c[d+3];d=e[f+0];var l=e[f+1],n=e[f+2];e=e[f+3];if(c!==e||h!==d||k!==l||m!==n){f=1-g;var r=h*d+k*l+m*n+c*e,p=0<=r?1:-1,t=1-r*r;t>Number.EPSILON&&(t=Math.sqrt(t),r=Math.atan2(t,r*p),f=Math.sin(f*r)/t,g=Math.sin(g*r)/t);p*=g;h=h*f+d*p;k=k*f+l*p;m=m*f+n*p;c=c*f+e*p;f===1-g&&(g=1/Math.sqrt(h*h+k*k+m*m+c*c),h*=g,k*=g,m*=g,c*=g)}a[b]=h;a[b+1]=k;a[b+2]=m;a[b+3]=c}});Object.defineProperties(ja.prototype,{x:{get:function(){return this._x}, +set:function(a){this._x=a;this.onChangeCallback()}},y:{get:function(){return this._y},set:function(a){this._y=a;this.onChangeCallback()}},z:{get:function(){return this._z},set:function(a){this._z=a;this.onChangeCallback()}},w:{get:function(){return this._w},set:function(a){this._w=a;this.onChangeCallback()}}});Object.assign(ja.prototype,{isQuaternion:!0,set:function(a,b,c,d){this._x=a;this._y=b;this._z=c;this._w=d;this.onChangeCallback();return this},clone:function(){return new this.constructor(this._x, +this._y,this._z,this._w)},copy:function(a){this._x=a.x;this._y=a.y;this._z=a.z;this._w=a.w;this.onChangeCallback();return this},setFromEuler:function(a,b){if(!a||!a.isEuler)throw Error("THREE.Quaternion: .setFromEuler() now expects an Euler rotation rather than a Vector3 and order.");var c=a._x,d=a._y,e=a._z;a=a.order;var f=Math.cos,g=Math.sin,h=f(c/2),k=f(d/2);f=f(e/2);c=g(c/2);d=g(d/2);e=g(e/2);"XYZ"===a?(this._x=c*k*f+h*d*e,this._y=h*d*f-c*k*e,this._z=h*k*e+c*d*f,this._w=h*k*f-c*d*e):"YXZ"===a? +(this._x=c*k*f+h*d*e,this._y=h*d*f-c*k*e,this._z=h*k*e-c*d*f,this._w=h*k*f+c*d*e):"ZXY"===a?(this._x=c*k*f-h*d*e,this._y=h*d*f+c*k*e,this._z=h*k*e+c*d*f,this._w=h*k*f-c*d*e):"ZYX"===a?(this._x=c*k*f-h*d*e,this._y=h*d*f+c*k*e,this._z=h*k*e-c*d*f,this._w=h*k*f+c*d*e):"YZX"===a?(this._x=c*k*f+h*d*e,this._y=h*d*f+c*k*e,this._z=h*k*e-c*d*f,this._w=h*k*f-c*d*e):"XZY"===a&&(this._x=c*k*f-h*d*e,this._y=h*d*f-c*k*e,this._z=h*k*e+c*d*f,this._w=h*k*f+c*d*e);if(!1!==b)this.onChangeCallback();return this},setFromAxisAngle:function(a, +b){b/=2;var c=Math.sin(b);this._x=a.x*c;this._y=a.y*c;this._z=a.z*c;this._w=Math.cos(b);this.onChangeCallback();return this},setFromRotationMatrix:function(a){var b=a.elements,c=b[0];a=b[4];var d=b[8],e=b[1],f=b[5],g=b[9],h=b[2],k=b[6];b=b[10];var m=c+f+b;0f&&c>b?(c=2*Math.sqrt(1+c-f-b),this._w=(k-g)/c,this._x=.25*c,this._y=(a+e)/c,this._z=(d+h)/c):f>b?(c=2*Math.sqrt(1+f-c-b),this._w=(d-h)/c,this._x=(a+e)/c,this._y= +.25*c,this._z=(g+k)/c):(c=2*Math.sqrt(1+b-c-f),this._w=(e-a)/c,this._x=(d+h)/c,this._y=(g+k)/c,this._z=.25*c);this.onChangeCallback();return this},setFromUnitVectors:function(){var a=new p,b;return function(c,d){void 0===a&&(a=new p);b=c.dot(d)+1;1E-6>b?(b=0,Math.abs(c.x)>Math.abs(c.z)?a.set(-c.y,c.x,0):a.set(0,-c.z,c.y)):a.crossVectors(c,d);this._x=a.x;this._y=a.y;this._z=a.z;this._w=b;return this.normalize()}}(),angleTo:function(a){return 2*Math.acos(Math.abs(R.clamp(this.dot(a),-1,1)))},rotateTowards:function(a, +b){var c=this.angleTo(a);if(0===c)return this;this.slerp(a,Math.min(1,b/c));return this},inverse:function(){return this.conjugate()},conjugate:function(){this._x*=-1;this._y*=-1;this._z*=-1;this.onChangeCallback();return this},dot:function(a){return this._x*a._x+this._y*a._y+this._z*a._z+this._w*a._w},lengthSq:function(){return this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w},length:function(){return Math.sqrt(this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w)},normalize:function(){var a= +this.length();0===a?(this._z=this._y=this._x=0,this._w=1):(a=1/a,this._x*=a,this._y*=a,this._z*=a,this._w*=a);this.onChangeCallback();return this},multiply:function(a,b){return void 0!==b?(console.warn("THREE.Quaternion: .multiply() now only accepts one argument. Use .multiplyQuaternions( a, b ) instead."),this.multiplyQuaternions(a,b)):this.multiplyQuaternions(this,a)},premultiply:function(a){return this.multiplyQuaternions(a,this)},multiplyQuaternions:function(a,b){var c=a._x,d=a._y,e=a._z;a=a._w; +var f=b._x,g=b._y,h=b._z;b=b._w;this._x=c*b+a*f+d*h-e*g;this._y=d*b+a*g+e*f-c*h;this._z=e*b+a*h+c*g-d*f;this._w=a*b-c*f-d*g-e*h;this.onChangeCallback();return this},slerp:function(a,b){if(0===b)return this;if(1===b)return this.copy(a);var c=this._x,d=this._y,e=this._z,f=this._w,g=f*a._w+c*a._x+d*a._y+e*a._z;0>g?(this._w=-a._w,this._x=-a._x,this._y=-a._y,this._z=-a._z,g=-g):this.copy(a);if(1<=g)return this._w=f,this._x=c,this._y=d,this._z=e,this;a=1-g*g;if(a<=Number.EPSILON)return g=1-b,this._w=g* +f+b*this._w,this._x=g*c+b*this._x,this._y=g*d+b*this._y,this._z=g*e+b*this._z,this.normalize();a=Math.sqrt(a);var h=Math.atan2(a,g);g=Math.sin((1-b)*h)/a;b=Math.sin(b*h)/a;this._w=f*g+this._w*b;this._x=c*g+this._x*b;this._y=d*g+this._y*b;this._z=e*g+this._z*b;this.onChangeCallback();return this},equals:function(a){return a._x===this._x&&a._y===this._y&&a._z===this._z&&a._w===this._w},fromArray:function(a,b){void 0===b&&(b=0);this._x=a[b];this._y=a[b+1];this._z=a[b+2];this._w=a[b+3];this.onChangeCallback(); +return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this._x;a[b+1]=this._y;a[b+2]=this._z;a[b+3]=this._w;return a},onChange:function(a){this.onChangeCallback=a;return this},onChangeCallback:function(){}});Object.assign(p.prototype,{isVector3:!0,set:function(a,b,c){this.x=a;this.y=b;this.z=c;return this},setScalar:function(a){this.z=this.y=this.x=a;return this},setX:function(a){this.x=a;return this},setY:function(a){this.y=a;return this},setZ:function(a){this.z=a;return this}, +setComponent:function(a,b){switch(a){case 0:this.x=b;break;case 1:this.y=b;break;case 2:this.z=b;break;default:throw Error("index is out of range: "+a);}return this},getComponent:function(a){switch(a){case 0:return this.x;case 1:return this.y;case 2:return this.z;default:throw Error("index is out of range: "+a);}},clone:function(){return new this.constructor(this.x,this.y,this.z)},copy:function(a){this.x=a.x;this.y=a.y;this.z=a.z;return this},add:function(a,b){if(void 0!==b)return console.warn("THREE.Vector3: .add() now only accepts one argument. Use .addVectors( a, b ) instead."), +this.addVectors(a,b);this.x+=a.x;this.y+=a.y;this.z+=a.z;return this},addScalar:function(a){this.x+=a;this.y+=a;this.z+=a;return this},addVectors:function(a,b){this.x=a.x+b.x;this.y=a.y+b.y;this.z=a.z+b.z;return this},addScaledVector:function(a,b){this.x+=a.x*b;this.y+=a.y*b;this.z+=a.z*b;return this},sub:function(a,b){if(void 0!==b)return console.warn("THREE.Vector3: .sub() now only accepts one argument. Use .subVectors( a, b ) instead."),this.subVectors(a,b);this.x-=a.x;this.y-=a.y;this.z-=a.z; +return this},subScalar:function(a){this.x-=a;this.y-=a;this.z-=a;return this},subVectors:function(a,b){this.x=a.x-b.x;this.y=a.y-b.y;this.z=a.z-b.z;return this},multiply:function(a,b){if(void 0!==b)return console.warn("THREE.Vector3: .multiply() now only accepts one argument. Use .multiplyVectors( a, b ) instead."),this.multiplyVectors(a,b);this.x*=a.x;this.y*=a.y;this.z*=a.z;return this},multiplyScalar:function(a){this.x*=a;this.y*=a;this.z*=a;return this},multiplyVectors:function(a,b){this.x=a.x* +b.x;this.y=a.y*b.y;this.z=a.z*b.z;return this},applyEuler:function(){var a=new ja;return function(b){b&&b.isEuler||console.error("THREE.Vector3: .applyEuler() now expects an Euler rotation rather than a Vector3 and order.");return this.applyQuaternion(a.setFromEuler(b))}}(),applyAxisAngle:function(){var a=new ja;return function(b,c){return this.applyQuaternion(a.setFromAxisAngle(b,c))}}(),applyMatrix3:function(a){var b=this.x,c=this.y,d=this.z;a=a.elements;this.x=a[0]*b+a[3]*c+a[6]*d;this.y=a[1]* +b+a[4]*c+a[7]*d;this.z=a[2]*b+a[5]*c+a[8]*d;return this},applyMatrix4:function(a){var b=this.x,c=this.y,d=this.z;a=a.elements;var e=1/(a[3]*b+a[7]*c+a[11]*d+a[15]);this.x=(a[0]*b+a[4]*c+a[8]*d+a[12])*e;this.y=(a[1]*b+a[5]*c+a[9]*d+a[13])*e;this.z=(a[2]*b+a[6]*c+a[10]*d+a[14])*e;return this},applyQuaternion:function(a){var b=this.x,c=this.y,d=this.z,e=a.x,f=a.y,g=a.z;a=a.w;var h=a*b+f*d-g*c,k=a*c+g*b-e*d,m=a*d+e*c-f*b;b=-e*b-f*c-g*d;this.x=h*a+b*-e+k*-g-m*-f;this.y=k*a+b*-f+m*-e-h*-g;this.z=m*a+b* +-g+h*-f-k*-e;return this},project:function(a){return this.applyMatrix4(a.matrixWorldInverse).applyMatrix4(a.projectionMatrix)},unproject:function(){var a=new P;return function(b){return this.applyMatrix4(a.getInverse(b.projectionMatrix)).applyMatrix4(b.matrixWorld)}}(),transformDirection:function(a){var b=this.x,c=this.y,d=this.z;a=a.elements;this.x=a[0]*b+a[4]*c+a[8]*d;this.y=a[1]*b+a[5]*c+a[9]*d;this.z=a[2]*b+a[6]*c+a[10]*d;return this.normalize()},divide:function(a){this.x/=a.x;this.y/=a.y;this.z/= +a.z;return this},divideScalar:function(a){return this.multiplyScalar(1/a)},min:function(a){this.x=Math.min(this.x,a.x);this.y=Math.min(this.y,a.y);this.z=Math.min(this.z,a.z);return this},max:function(a){this.x=Math.max(this.x,a.x);this.y=Math.max(this.y,a.y);this.z=Math.max(this.z,a.z);return this},clamp:function(a,b){this.x=Math.max(a.x,Math.min(b.x,this.x));this.y=Math.max(a.y,Math.min(b.y,this.y));this.z=Math.max(a.z,Math.min(b.z,this.z));return this},clampScalar:function(){var a=new p,b=new p; +return function(c,d){a.set(c,c,c);b.set(d,d,d);return this.clamp(a,b)}}(),clampLength:function(a,b){var c=this.length();return this.divideScalar(c||1).multiplyScalar(Math.max(a,Math.min(b,c)))},floor:function(){this.x=Math.floor(this.x);this.y=Math.floor(this.y);this.z=Math.floor(this.z);return this},ceil:function(){this.x=Math.ceil(this.x);this.y=Math.ceil(this.y);this.z=Math.ceil(this.z);return this},round:function(){this.x=Math.round(this.x);this.y=Math.round(this.y);this.z=Math.round(this.z); +return this},roundToZero:function(){this.x=0>this.x?Math.ceil(this.x):Math.floor(this.x);this.y=0>this.y?Math.ceil(this.y):Math.floor(this.y);this.z=0>this.z?Math.ceil(this.z):Math.floor(this.z);return this},negate:function(){this.x=-this.x;this.y=-this.y;this.z=-this.z;return this},dot:function(a){return this.x*a.x+this.y*a.y+this.z*a.z},lengthSq:function(){return this.x*this.x+this.y*this.y+this.z*this.z},length:function(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)},manhattanLength:function(){return Math.abs(this.x)+ +Math.abs(this.y)+Math.abs(this.z)},normalize:function(){return this.divideScalar(this.length()||1)},setLength:function(a){return this.normalize().multiplyScalar(a)},lerp:function(a,b){this.x+=(a.x-this.x)*b;this.y+=(a.y-this.y)*b;this.z+=(a.z-this.z)*b;return this},lerpVectors:function(a,b,c){return this.subVectors(b,a).multiplyScalar(c).add(a)},cross:function(a,b){return void 0!==b?(console.warn("THREE.Vector3: .cross() now only accepts one argument. Use .crossVectors( a, b ) instead."),this.crossVectors(a, +b)):this.crossVectors(this,a)},crossVectors:function(a,b){var c=a.x,d=a.y;a=a.z;var e=b.x,f=b.y;b=b.z;this.x=d*b-a*f;this.y=a*e-c*b;this.z=c*f-d*e;return this},projectOnVector:function(a){var b=a.dot(this)/a.lengthSq();return this.copy(a).multiplyScalar(b)},projectOnPlane:function(){var a=new p;return function(b){a.copy(this).projectOnVector(b);return this.sub(a)}}(),reflect:function(){var a=new p;return function(b){return this.sub(a.copy(b).multiplyScalar(2*this.dot(b)))}}(),angleTo:function(a){a= +this.dot(a)/Math.sqrt(this.lengthSq()*a.lengthSq());return Math.acos(R.clamp(a,-1,1))},distanceTo:function(a){return Math.sqrt(this.distanceToSquared(a))},distanceToSquared:function(a){var b=this.x-a.x,c=this.y-a.y;a=this.z-a.z;return b*b+c*c+a*a},manhattanDistanceTo:function(a){return Math.abs(this.x-a.x)+Math.abs(this.y-a.y)+Math.abs(this.z-a.z)},setFromSpherical:function(a){return this.setFromSphericalCoords(a.radius,a.phi,a.theta)},setFromSphericalCoords:function(a,b,c){var d=Math.sin(b)*a;this.x= +d*Math.sin(c);this.y=Math.cos(b)*a;this.z=d*Math.cos(c);return this},setFromCylindrical:function(a){return this.setFromCylindricalCoords(a.radius,a.theta,a.y)},setFromCylindricalCoords:function(a,b,c){this.x=a*Math.sin(b);this.y=c;this.z=a*Math.cos(b);return this},setFromMatrixPosition:function(a){a=a.elements;this.x=a[12];this.y=a[13];this.z=a[14];return this},setFromMatrixScale:function(a){var b=this.setFromMatrixColumn(a,0).length(),c=this.setFromMatrixColumn(a,1).length();a=this.setFromMatrixColumn(a, +2).length();this.x=b;this.y=c;this.z=a;return this},setFromMatrixColumn:function(a,b){return this.fromArray(a.elements,4*b)},equals:function(a){return a.x===this.x&&a.y===this.y&&a.z===this.z},fromArray:function(a,b){void 0===b&&(b=0);this.x=a[b];this.y=a[b+1];this.z=a[b+2];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this.x;a[b+1]=this.y;a[b+2]=this.z;return a},fromBufferAttribute:function(a,b,c){void 0!==c&&console.warn("THREE.Vector3: offset has been removed from .fromBufferAttribute()."); +this.x=a.getX(b);this.y=a.getY(b);this.z=a.getZ(b);return this}});Object.assign(da.prototype,{isMatrix3:!0,set:function(a,b,c,d,e,f,g,h,k){var m=this.elements;m[0]=a;m[1]=d;m[2]=g;m[3]=b;m[4]=e;m[5]=h;m[6]=c;m[7]=f;m[8]=k;return this},identity:function(){this.set(1,0,0,0,1,0,0,0,1);return this},clone:function(){return(new this.constructor).fromArray(this.elements)},copy:function(a){var b=this.elements;a=a.elements;b[0]=a[0];b[1]=a[1];b[2]=a[2];b[3]=a[3];b[4]=a[4];b[5]=a[5];b[6]=a[6];b[7]=a[7];b[8]= +a[8];return this},setFromMatrix4:function(a){a=a.elements;this.set(a[0],a[4],a[8],a[1],a[5],a[9],a[2],a[6],a[10]);return this},applyToBufferAttribute:function(){var a=new p;return function(b){for(var c=0,d=b.count;cc;c++)if(b[c]!==a[c])return!1;return!0},fromArray:function(a,b){void 0===b&&(b=0);for(var c=0;9>c;c++)this.elements[c]=a[c+b];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);var c=this.elements;a[b]=c[0];a[b+1]=c[1];a[b+2]=c[2];a[b+3]=c[3];a[b+4]=c[4];a[b+5]=c[5];a[b+6]=c[6];a[b+7]=c[7];a[b+8]=c[8]; +return a}});var jb={getDataURL:function(a){if("undefined"==typeof HTMLCanvasElement)return a.src;if(a instanceof HTMLCanvasElement)var b=a;else{b=document.createElementNS("http://www.w3.org/1999/xhtml","canvas");b.width=a.width;b.height=a.height;var c=b.getContext("2d");a instanceof ImageData?c.putImageData(a,0,0):c.drawImage(a,0,0,a.width,a.height)}return 2048a.x||1a.x?0:1;break;case 1002:a.x=1===Math.abs(Math.floor(a.x)%2)?Math.ceil(a.x)-a.x:a.x-Math.floor(a.x)}if(0> +a.y||1a.y?0:1;break;case 1002:a.y=1===Math.abs(Math.floor(a.y)%2)?Math.ceil(a.y)-a.y:a.y-Math.floor(a.y)}this.flipY&&(a.y=1-a.y);return a}});Object.defineProperty(W.prototype,"needsUpdate",{set:function(a){!0===a&&this.version++}});Object.assign(Z.prototype,{isVector4:!0,set:function(a,b,c,d){this.x=a;this.y=b;this.z=c;this.w=d;return this},setScalar:function(a){this.w=this.z=this.y=this.x=a;return this},setX:function(a){this.x= +a;return this},setY:function(a){this.y=a;return this},setZ:function(a){this.z=a;return this},setW:function(a){this.w=a;return this},setComponent:function(a,b){switch(a){case 0:this.x=b;break;case 1:this.y=b;break;case 2:this.z=b;break;case 3:this.w=b;break;default:throw Error("index is out of range: "+a);}return this},getComponent:function(a){switch(a){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw Error("index is out of range: "+a);}},clone:function(){return new this.constructor(this.x, +this.y,this.z,this.w)},copy:function(a){this.x=a.x;this.y=a.y;this.z=a.z;this.w=void 0!==a.w?a.w:1;return this},add:function(a,b){if(void 0!==b)return console.warn("THREE.Vector4: .add() now only accepts one argument. Use .addVectors( a, b ) instead."),this.addVectors(a,b);this.x+=a.x;this.y+=a.y;this.z+=a.z;this.w+=a.w;return this},addScalar:function(a){this.x+=a;this.y+=a;this.z+=a;this.w+=a;return this},addVectors:function(a,b){this.x=a.x+b.x;this.y=a.y+b.y;this.z=a.z+b.z;this.w=a.w+b.w;return this}, +addScaledVector:function(a,b){this.x+=a.x*b;this.y+=a.y*b;this.z+=a.z*b;this.w+=a.w*b;return this},sub:function(a,b){if(void 0!==b)return console.warn("THREE.Vector4: .sub() now only accepts one argument. Use .subVectors( a, b ) instead."),this.subVectors(a,b);this.x-=a.x;this.y-=a.y;this.z-=a.z;this.w-=a.w;return this},subScalar:function(a){this.x-=a;this.y-=a;this.z-=a;this.w-=a;return this},subVectors:function(a,b){this.x=a.x-b.x;this.y=a.y-b.y;this.z=a.z-b.z;this.w=a.w-b.w;return this},multiplyScalar:function(a){this.x*= +a;this.y*=a;this.z*=a;this.w*=a;return this},applyMatrix4:function(a){var b=this.x,c=this.y,d=this.z,e=this.w;a=a.elements;this.x=a[0]*b+a[4]*c+a[8]*d+a[12]*e;this.y=a[1]*b+a[5]*c+a[9]*d+a[13]*e;this.z=a[2]*b+a[6]*c+a[10]*d+a[14]*e;this.w=a[3]*b+a[7]*c+a[11]*d+a[15]*e;return this},divideScalar:function(a){return this.multiplyScalar(1/a)},setAxisAngleFromQuaternion:function(a){this.w=2*Math.acos(a.w);var b=Math.sqrt(1-a.w*a.w);1E-4>b?(this.x=1,this.z=this.y=0):(this.x=a.x/b,this.y=a.y/b,this.z=a.z/ +b);return this},setAxisAngleFromRotationMatrix:function(a){a=a.elements;var b=a[0];var c=a[4];var d=a[8],e=a[1],f=a[5],g=a[9];var h=a[2];var k=a[6];var m=a[10];if(.01>Math.abs(c-e)&&.01>Math.abs(d-h)&&.01>Math.abs(g-k)){if(.1>Math.abs(c+e)&&.1>Math.abs(d+h)&&.1>Math.abs(g+k)&&.1>Math.abs(b+f+m-3))return this.set(1,0,0,0),this;a=Math.PI;b=(b+1)/2;f=(f+1)/2;m=(m+1)/2;c=(c+e)/4;d=(d+h)/4;g=(g+k)/4;b>f&&b>m?.01>b?(k=0,c=h=.707106781):(k=Math.sqrt(b),h=c/k,c=d/k):f>m?.01>f?(k=.707106781,h=0,c=.707106781): +(h=Math.sqrt(f),k=c/h,c=g/h):.01>m?(h=k=.707106781,c=0):(c=Math.sqrt(m),k=d/c,h=g/c);this.set(k,h,c,a);return this}a=Math.sqrt((k-g)*(k-g)+(d-h)*(d-h)+(e-c)*(e-c));.001>Math.abs(a)&&(a=1);this.x=(k-g)/a;this.y=(d-h)/a;this.z=(e-c)/a;this.w=Math.acos((b+f+m-1)/2);return this},min:function(a){this.x=Math.min(this.x,a.x);this.y=Math.min(this.y,a.y);this.z=Math.min(this.z,a.z);this.w=Math.min(this.w,a.w);return this},max:function(a){this.x=Math.max(this.x,a.x);this.y=Math.max(this.y,a.y);this.z=Math.max(this.z, +a.z);this.w=Math.max(this.w,a.w);return this},clamp:function(a,b){this.x=Math.max(a.x,Math.min(b.x,this.x));this.y=Math.max(a.y,Math.min(b.y,this.y));this.z=Math.max(a.z,Math.min(b.z,this.z));this.w=Math.max(a.w,Math.min(b.w,this.w));return this},clampScalar:function(){var a,b;return function(c,d){void 0===a&&(a=new Z,b=new Z);a.set(c,c,c,c);b.set(d,d,d,d);return this.clamp(a,b)}}(),clampLength:function(a,b){var c=this.length();return this.divideScalar(c||1).multiplyScalar(Math.max(a,Math.min(b,c)))}, +floor:function(){this.x=Math.floor(this.x);this.y=Math.floor(this.y);this.z=Math.floor(this.z);this.w=Math.floor(this.w);return this},ceil:function(){this.x=Math.ceil(this.x);this.y=Math.ceil(this.y);this.z=Math.ceil(this.z);this.w=Math.ceil(this.w);return this},round:function(){this.x=Math.round(this.x);this.y=Math.round(this.y);this.z=Math.round(this.z);this.w=Math.round(this.w);return this},roundToZero:function(){this.x=0>this.x?Math.ceil(this.x):Math.floor(this.x);this.y=0>this.y?Math.ceil(this.y): +Math.floor(this.y);this.z=0>this.z?Math.ceil(this.z):Math.floor(this.z);this.w=0>this.w?Math.ceil(this.w):Math.floor(this.w);return this},negate:function(){this.x=-this.x;this.y=-this.y;this.z=-this.z;this.w=-this.w;return this},dot:function(a){return this.x*a.x+this.y*a.y+this.z*a.z+this.w*a.w},lengthSq:function(){return this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w},length:function(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w)},manhattanLength:function(){return Math.abs(this.x)+ +Math.abs(this.y)+Math.abs(this.z)+Math.abs(this.w)},normalize:function(){return this.divideScalar(this.length()||1)},setLength:function(a){return this.normalize().multiplyScalar(a)},lerp:function(a,b){this.x+=(a.x-this.x)*b;this.y+=(a.y-this.y)*b;this.z+=(a.z-this.z)*b;this.w+=(a.w-this.w)*b;return this},lerpVectors:function(a,b,c){return this.subVectors(b,a).multiplyScalar(c).add(a)},equals:function(a){return a.x===this.x&&a.y===this.y&&a.z===this.z&&a.w===this.w},fromArray:function(a,b){void 0=== +b&&(b=0);this.x=a[b];this.y=a[b+1];this.z=a[b+2];this.w=a[b+3];return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this.x;a[b+1]=this.y;a[b+2]=this.z;a[b+3]=this.w;return a},fromBufferAttribute:function(a,b,c){void 0!==c&&console.warn("THREE.Vector4: offset has been removed from .fromBufferAttribute().");this.x=a.getX(b);this.y=a.getY(b);this.z=a.getZ(b);this.w=a.getW(b);return this}});kb.prototype=Object.assign(Object.create(ia.prototype),{constructor:kb,isWebGLRenderTarget:!0, +setSize:function(a,b){if(this.width!==a||this.height!==b)this.width=a,this.height=b,this.dispose();this.viewport.set(0,0,a,b);this.scissor.set(0,0,a,b)},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.width=a.width;this.height=a.height;this.viewport.copy(a.viewport);this.texture=a.texture.clone();this.depthBuffer=a.depthBuffer;this.stencilBuffer=a.stencilBuffer;this.depthTexture=a.depthTexture;return this},dispose:function(){this.dispatchEvent({type:"dispose"})}}); +Jb.prototype=Object.create(kb.prototype);Jb.prototype.constructor=Jb;Jb.prototype.isWebGLRenderTargetCube=!0;lb.prototype=Object.create(W.prototype);lb.prototype.constructor=lb;lb.prototype.isDataTexture=!0;Object.assign(Wa.prototype,{isBox3:!0,set:function(a,b){this.min.copy(a);this.max.copy(b);return this},setFromArray:function(a){for(var b=Infinity,c=Infinity,d=Infinity,e=-Infinity,f=-Infinity,g=-Infinity,h=0,k=a.length;h +e&&(e=m);l>f&&(f=l);n>g&&(g=n)}this.min.set(b,c,d);this.max.set(e,f,g);return this},setFromBufferAttribute:function(a){for(var b=Infinity,c=Infinity,d=Infinity,e=-Infinity,f=-Infinity,g=-Infinity,h=0,k=a.count;he&&(e=m);l>f&&(f=l);n>g&&(g=n)}this.min.set(b,c,d);this.max.set(e,f,g);return this},setFromPoints:function(a){this.makeEmpty();for(var b=0,c=a.length;bthis.max.x||a.ythis.max.y||a.zthis.max.z?!1:!0},containsBox:function(a){return this.min.x<=a.min.x&&a.max.x<=this.max.x&&this.min.y<=a.min.y&&a.max.y<=this.max.y&&this.min.z<=a.min.z&&a.max.z<=this.max.z},getParameter:function(a,b){void 0===b&&(console.warn("THREE.Box3: .getParameter() target is now required"),b=new p);return b.set((a.x-this.min.x)/(this.max.x- +this.min.x),(a.y-this.min.y)/(this.max.y-this.min.y),(a.z-this.min.z)/(this.max.z-this.min.z))},intersectsBox:function(a){return a.max.xthis.max.x||a.max.ythis.max.y||a.max.zthis.max.z?!1:!0},intersectsSphere:function(){var a=new p;return function(b){this.clampPoint(b.center,a);return a.distanceToSquared(b.center)<=b.radius*b.radius}}(),intersectsPlane:function(a){if(0=-a.constant},intersectsTriangle:function(){function a(a){var e;var f=0;for(e=a.length-3;f<=e;f+=3){h.fromArray(a,f);var g=m.x*Math.abs(h.x)+m.y*Math.abs(h.y)+m.z*Math.abs(h.z),k=b.dot(h),l=c.dot(h), +q=d.dot(h);if(Math.max(-Math.max(k,l,q),Math.min(k,l,q))>g)return!1}return!0}var b=new p,c=new p,d=new p,e=new p,f=new p,g=new p,h=new p,k=new p,m=new p,l=new p;return function(h){if(this.isEmpty())return!1;this.getCenter(k);m.subVectors(this.max,k);b.subVectors(h.a,k);c.subVectors(h.b,k);d.subVectors(h.c,k);e.subVectors(c,b);f.subVectors(d,c);g.subVectors(b,d);h=[0,-e.z,e.y,0,-f.z,f.y,0,-g.z,g.y,e.z,0,-e.x,f.z,0,-f.x,g.z,0,-g.x,-e.y,e.x,0,-f.y,f.x,0,-g.y,g.x,0];if(!a(h))return!1;h=[1,0,0,0,1,0,0, +0,1];if(!a(h))return!1;l.crossVectors(e,f);h=[l.x,l.y,l.z];return a(h)}}(),clampPoint:function(a,b){void 0===b&&(console.warn("THREE.Box3: .clampPoint() target is now required"),b=new p);return b.copy(a).clamp(this.min,this.max)},distanceToPoint:function(){var a=new p;return function(b){return a.copy(b).clamp(this.min,this.max).sub(b).length()}}(),getBoundingSphere:function(){var a=new p;return function(b){void 0===b&&(console.warn("THREE.Box3: .getBoundingSphere() target is now required"),b=new Ga); +this.getCenter(b.center);b.radius=.5*this.getSize(a).length();return b}}(),intersect:function(a){this.min.max(a.min);this.max.min(a.max);this.isEmpty()&&this.makeEmpty();return this},union:function(a){this.min.min(a.min);this.max.max(a.max);return this},applyMatrix4:function(){var a=[new p,new p,new p,new p,new p,new p,new p,new p];return function(b){if(this.isEmpty())return this;a[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(b);a[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(b); +a[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(b);a[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(b);a[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(b);a[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(b);a[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(b);a[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(b);this.setFromPoints(a);return this}}(),translate:function(a){this.min.add(a);this.max.add(a);return this},equals:function(a){return a.min.equals(this.min)&& +a.max.equals(this.max)}});Object.assign(Ga.prototype,{set:function(a,b){this.center.copy(a);this.radius=b;return this},setFromPoints:function(){var a=new Wa;return function(b,c){var d=this.center;void 0!==c?d.copy(c):a.setFromPoints(b).getCenter(d);for(var e=c=0,f=b.length;e= +this.radius},containsPoint:function(a){return a.distanceToSquared(this.center)<=this.radius*this.radius},distanceToPoint:function(a){return a.distanceTo(this.center)-this.radius},intersectsSphere:function(a){var b=this.radius+a.radius;return a.center.distanceToSquared(this.center)<=b*b},intersectsBox:function(a){return a.intersectsSphere(this)},intersectsPlane:function(a){return Math.abs(a.distanceToPoint(this.center))<=this.radius},clampPoint:function(a,b){var c=this.center.distanceToSquared(a); +void 0===b&&(console.warn("THREE.Sphere: .clampPoint() target is now required"),b=new p);b.copy(a);c>this.radius*this.radius&&(b.sub(this.center).normalize(),b.multiplyScalar(this.radius).add(this.center));return b},getBoundingBox:function(a){void 0===a&&(console.warn("THREE.Sphere: .getBoundingBox() target is now required"),a=new Wa);a.set(this.center,this.center);a.expandByScalar(this.radius);return a},applyMatrix4:function(a){this.center.applyMatrix4(a);this.radius*=a.getMaxScaleOnAxis();return this}, +translate:function(a){this.center.add(a);return this},equals:function(a){return a.center.equals(this.center)&&a.radius===this.radius}});Object.assign(Pa.prototype,{set:function(a,b){this.normal.copy(a);this.constant=b;return this},setComponents:function(a,b,c,d){this.normal.set(a,b,c);this.constant=d;return this},setFromNormalAndCoplanarPoint:function(a,b){this.normal.copy(a);this.constant=-b.dot(this.normal);return this},setFromCoplanarPoints:function(){var a=new p,b=new p;return function(c,d,e){d= +a.subVectors(e,d).cross(b.subVectors(c,d)).normalize();this.setFromNormalAndCoplanarPoint(d,c);return this}}(),clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.normal.copy(a.normal);this.constant=a.constant;return this},normalize:function(){var a=1/this.normal.length();this.normal.multiplyScalar(a);this.constant*=a;return this},negate:function(){this.constant*=-1;this.normal.negate();return this},distanceToPoint:function(a){return this.normal.dot(a)+this.constant},distanceToSphere:function(a){return this.distanceToPoint(a.center)- +a.radius},projectPoint:function(a,b){void 0===b&&(console.warn("THREE.Plane: .projectPoint() target is now required"),b=new p);return b.copy(this.normal).multiplyScalar(-this.distanceToPoint(a)).add(a)},intersectLine:function(){var a=new p;return function(b,c){void 0===c&&(console.warn("THREE.Plane: .intersectLine() target is now required"),c=new p);var d=b.delta(a),e=this.normal.dot(d);if(0===e){if(0===this.distanceToPoint(b.start))return c.copy(b.start)}else if(e=-(b.start.dot(this.normal)+this.constant)/ +e,!(0>e||1b&&0a&&0c;c++)b[c].copy(a.planes[c]);return this},setFromMatrix:function(a){var b=this.planes,c=a.elements;a=c[0];var d=c[1],e=c[2],f=c[3],g=c[4],h=c[5],k=c[6],m=c[7],l=c[8],n=c[9],r=c[10],p=c[11],t=c[12],u=c[13],w=c[14];c=c[15];b[0].setComponents(f-a,m-g,p-l,c-t).normalize();b[1].setComponents(f+a,m+g,p+l,c+t).normalize();b[2].setComponents(f+d,m+h,p+n,c+u).normalize();b[3].setComponents(f-d,m-h,p-n,c- +u).normalize();b[4].setComponents(f-e,m-k,p-r,c-w).normalize();b[5].setComponents(f+e,m+k,p+r,c+w).normalize();return this},intersectsObject:function(){var a=new Ga;return function(b){var c=b.geometry;null===c.boundingSphere&&c.computeBoundingSphere();a.copy(c.boundingSphere).applyMatrix4(b.matrixWorld);return this.intersectsSphere(a)}}(),intersectsSprite:function(){var a=new Ga;return function(b){a.center.set(0,0,0);a.radius=.7071067811865476;a.applyMatrix4(b.matrixWorld);return this.intersectsSphere(a)}}(), +intersectsSphere:function(a){var b=this.planes,c=a.center;a=-a.radius;for(var d=0;6>d;d++)if(b[d].distanceToPoint(c)d;d++){var e=c[d];a.x=0e.distanceToPoint(a))return!1}return!0}}(),containsPoint:function(a){for(var b=this.planes,c=0;6>c;c++)if(0>b[c].distanceToPoint(a))return!1;return!0}});var K= +{alphamap_fragment:"#ifdef USE_ALPHAMAP\n\tdiffuseColor.a *= texture2D( alphaMap, vUv ).g;\n#endif\n",alphamap_pars_fragment:"#ifdef USE_ALPHAMAP\n\tuniform sampler2D alphaMap;\n#endif\n",alphatest_fragment:"#ifdef ALPHATEST\n\tif ( diffuseColor.a < ALPHATEST ) discard;\n#endif\n",aomap_fragment:"#ifdef USE_AOMAP\n\tfloat ambientOcclusion = ( texture2D( aoMap, vUv2 ).r - 1.0 ) * aoMapIntensity + 1.0;\n\treflectedLight.indirectDiffuse *= ambientOcclusion;\n\t#if defined( USE_ENVMAP ) && defined( PHYSICAL )\n\t\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\n\t\treflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.specularRoughness );\n\t#endif\n#endif\n", +aomap_pars_fragment:"#ifdef USE_AOMAP\n\tuniform sampler2D aoMap;\n\tuniform float aoMapIntensity;\n#endif",begin_vertex:"\nvec3 transformed = vec3( position );\n",beginnormal_vertex:"\nvec3 objectNormal = vec3( normal );\n",bsdfs:"float punctualLightIntensityToIrradianceFactor( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\n#if defined ( PHYSICALLY_CORRECT_LIGHTS )\n\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\n\tif( cutoffDistance > 0.0 ) {\n\t\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\n\t}\n\treturn distanceFalloff;\n#else\n\tif( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\n\t\treturn pow( saturate( -lightDistance / cutoffDistance + 1.0 ), decayExponent );\n\t}\n\treturn 1.0;\n#endif\n}\nvec3 BRDF_Diffuse_Lambert( const in vec3 diffuseColor ) {\n\treturn RECIPROCAL_PI * diffuseColor;\n}\nvec3 F_Schlick( const in vec3 specularColor, const in float dotLH ) {\n\tfloat fresnel = exp2( ( -5.55473 * dotLH - 6.98316 ) * dotLH );\n\treturn ( 1.0 - specularColor ) * fresnel + specularColor;\n}\nfloat G_GGX_Smith( const in float alpha, const in float dotNL, const in float dotNV ) {\n\tfloat a2 = pow2( alpha );\n\tfloat gl = dotNL + sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\n\tfloat gv = dotNV + sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\n\treturn 1.0 / ( gl * gv );\n}\nfloat G_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {\n\tfloat a2 = pow2( alpha );\n\tfloat gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\n\tfloat gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\n\treturn 0.5 / max( gv + gl, EPSILON );\n}\nfloat D_GGX( const in float alpha, const in float dotNH ) {\n\tfloat a2 = pow2( alpha );\n\tfloat denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;\n\treturn RECIPROCAL_PI * a2 / pow2( denom );\n}\nvec3 BRDF_Specular_GGX( const in IncidentLight incidentLight, const in GeometricContext geometry, const in vec3 specularColor, const in float roughness ) {\n\tfloat alpha = pow2( roughness );\n\tvec3 halfDir = normalize( incidentLight.direction + geometry.viewDir );\n\tfloat dotNL = saturate( dot( geometry.normal, incidentLight.direction ) );\n\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\n\tfloat dotNH = saturate( dot( geometry.normal, halfDir ) );\n\tfloat dotLH = saturate( dot( incidentLight.direction, halfDir ) );\n\tvec3 F = F_Schlick( specularColor, dotLH );\n\tfloat G = G_GGX_SmithCorrelated( alpha, dotNL, dotNV );\n\tfloat D = D_GGX( alpha, dotNH );\n\treturn F * ( G * D );\n}\nvec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {\n\tconst float LUT_SIZE = 64.0;\n\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\n\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\n\tfloat dotNV = saturate( dot( N, V ) );\n\tvec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );\n\tuv = uv * LUT_SCALE + LUT_BIAS;\n\treturn uv;\n}\nfloat LTC_ClippedSphereFormFactor( const in vec3 f ) {\n\tfloat l = length( f );\n\treturn max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );\n}\nvec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {\n\tfloat x = dot( v1, v2 );\n\tfloat y = abs( x );\n\tfloat a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;\n\tfloat b = 3.4175940 + ( 4.1616724 + y ) * y;\n\tfloat v = a / b;\n\tfloat theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\n\treturn cross( v1, v2 ) * theta_sintheta;\n}\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\n\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\n\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\n\tvec3 lightNormal = cross( v1, v2 );\n\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\n\tvec3 T1, T2;\n\tT1 = normalize( V - N * dot( V, N ) );\n\tT2 = - cross( N, T1 );\n\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\n\tvec3 coords[ 4 ];\n\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\n\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\n\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\n\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\n\tcoords[ 0 ] = normalize( coords[ 0 ] );\n\tcoords[ 1 ] = normalize( coords[ 1 ] );\n\tcoords[ 2 ] = normalize( coords[ 2 ] );\n\tcoords[ 3 ] = normalize( coords[ 3 ] );\n\tvec3 vectorFormFactor = vec3( 0.0 );\n\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\n\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\n\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\n\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\n\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\n\treturn vec3( result );\n}\nvec3 BRDF_Specular_GGX_Environment( const in GeometricContext geometry, const in vec3 specularColor, const in float roughness ) {\n\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\n\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\n\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\n\tvec4 r = roughness * c0 + c1;\n\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\n\tvec2 AB = vec2( -1.04, 1.04 ) * a004 + r.zw;\n\treturn specularColor * AB.x + AB.y;\n}\nfloat G_BlinnPhong_Implicit( ) {\n\treturn 0.25;\n}\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\n\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\n}\nvec3 BRDF_Specular_BlinnPhong( const in IncidentLight incidentLight, const in GeometricContext geometry, const in vec3 specularColor, const in float shininess ) {\n\tvec3 halfDir = normalize( incidentLight.direction + geometry.viewDir );\n\tfloat dotNH = saturate( dot( geometry.normal, halfDir ) );\n\tfloat dotLH = saturate( dot( incidentLight.direction, halfDir ) );\n\tvec3 F = F_Schlick( specularColor, dotLH );\n\tfloat G = G_BlinnPhong_Implicit( );\n\tfloat D = D_BlinnPhong( shininess, dotNH );\n\treturn F * ( G * D );\n}\nfloat GGXRoughnessToBlinnExponent( const in float ggxRoughness ) {\n\treturn ( 2.0 / pow2( ggxRoughness + 0.0001 ) - 2.0 );\n}\nfloat BlinnExponentToGGXRoughness( const in float blinnExponent ) {\n\treturn sqrt( 2.0 / ( blinnExponent + 2.0 ) );\n}\n", +bumpmap_pars_fragment:"#ifdef USE_BUMPMAP\n\tuniform sampler2D bumpMap;\n\tuniform float bumpScale;\n\tvec2 dHdxy_fwd() {\n\t\tvec2 dSTdx = dFdx( vUv );\n\t\tvec2 dSTdy = dFdy( vUv );\n\t\tfloat Hll = bumpScale * texture2D( bumpMap, vUv ).x;\n\t\tfloat dBx = bumpScale * texture2D( bumpMap, vUv + dSTdx ).x - Hll;\n\t\tfloat dBy = bumpScale * texture2D( bumpMap, vUv + dSTdy ).x - Hll;\n\t\treturn vec2( dBx, dBy );\n\t}\n\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy ) {\n\t\tvec3 vSigmaX = vec3( dFdx( surf_pos.x ), dFdx( surf_pos.y ), dFdx( surf_pos.z ) );\n\t\tvec3 vSigmaY = vec3( dFdy( surf_pos.x ), dFdy( surf_pos.y ), dFdy( surf_pos.z ) );\n\t\tvec3 vN = surf_norm;\n\t\tvec3 R1 = cross( vSigmaY, vN );\n\t\tvec3 R2 = cross( vN, vSigmaX );\n\t\tfloat fDet = dot( vSigmaX, R1 );\n\t\tfDet *= ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\n\t\treturn normalize( abs( fDet ) * surf_norm - vGrad );\n\t}\n#endif\n", +clipping_planes_fragment:"#if NUM_CLIPPING_PLANES > 0\n\tvec4 plane;\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\n\t\tplane = clippingPlanes[ i ];\n\t\tif ( dot( vViewPosition, plane.xyz ) > plane.w ) discard;\n\t}\n\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\n\t\tbool clipped = true;\n\t\t#pragma unroll_loop\n\t\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\n\t\t\tplane = clippingPlanes[ i ];\n\t\t\tclipped = ( dot( vViewPosition, plane.xyz ) > plane.w ) && clipped;\n\t\t}\n\t\tif ( clipped ) discard;\n\t#endif\n#endif\n", +clipping_planes_pars_fragment:"#if NUM_CLIPPING_PLANES > 0\n\t#if ! defined( PHYSICAL ) && ! defined( PHONG ) && ! defined( MATCAP )\n\t\tvarying vec3 vViewPosition;\n\t#endif\n\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\n#endif\n",clipping_planes_pars_vertex:"#if NUM_CLIPPING_PLANES > 0 && ! defined( PHYSICAL ) && ! defined( PHONG ) && ! defined( MATCAP )\n\tvarying vec3 vViewPosition;\n#endif\n",clipping_planes_vertex:"#if NUM_CLIPPING_PLANES > 0 && ! defined( PHYSICAL ) && ! defined( PHONG ) && ! defined( MATCAP )\n\tvViewPosition = - mvPosition.xyz;\n#endif\n", +color_fragment:"#ifdef USE_COLOR\n\tdiffuseColor.rgb *= vColor;\n#endif",color_pars_fragment:"#ifdef USE_COLOR\n\tvarying vec3 vColor;\n#endif\n",color_pars_vertex:"#ifdef USE_COLOR\n\tvarying vec3 vColor;\n#endif",color_vertex:"#ifdef USE_COLOR\n\tvColor.xyz = color.xyz;\n#endif",common:"#define PI 3.14159265359\n#define PI2 6.28318530718\n#define PI_HALF 1.5707963267949\n#define RECIPROCAL_PI 0.31830988618\n#define RECIPROCAL_PI2 0.15915494\n#define LOG2 1.442695\n#define EPSILON 1e-6\n#define saturate(a) clamp( a, 0.0, 1.0 )\n#define whiteCompliment(a) ( 1.0 - saturate( a ) )\nfloat pow2( const in float x ) { return x*x; }\nfloat pow3( const in float x ) { return x*x*x; }\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\nfloat average( const in vec3 color ) { return dot( color, vec3( 0.3333 ) ); }\nhighp float rand( const in vec2 uv ) {\n\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\n\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\n\treturn fract(sin(sn) * c);\n}\nstruct IncidentLight {\n\tvec3 color;\n\tvec3 direction;\n\tbool visible;\n};\nstruct ReflectedLight {\n\tvec3 directDiffuse;\n\tvec3 directSpecular;\n\tvec3 indirectDiffuse;\n\tvec3 indirectSpecular;\n};\nstruct GeometricContext {\n\tvec3 position;\n\tvec3 normal;\n\tvec3 viewDir;\n};\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\n\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\n}\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\n\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\n}\nvec3 projectOnPlane(in vec3 point, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\tfloat distance = dot( planeNormal, point - pointOnPlane );\n\treturn - distance * planeNormal + point;\n}\nfloat sideOfPlane( in vec3 point, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\treturn sign( dot( point - pointOnPlane, planeNormal ) );\n}\nvec3 linePlaneIntersect( in vec3 pointOnLine, in vec3 lineDirection, in vec3 pointOnPlane, in vec3 planeNormal ) {\n\treturn lineDirection * ( dot( planeNormal, pointOnPlane - pointOnLine ) / dot( planeNormal, lineDirection ) ) + pointOnLine;\n}\nmat3 transposeMat3( const in mat3 m ) {\n\tmat3 tmp;\n\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\n\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\n\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\n\treturn tmp;\n}\nfloat linearToRelativeLuminance( const in vec3 color ) {\n\tvec3 weights = vec3( 0.2126, 0.7152, 0.0722 );\n\treturn dot( weights, color.rgb );\n}\n", +cube_uv_reflection_fragment:"#ifdef ENVMAP_TYPE_CUBE_UV\n#define cubeUV_textureSize (1024.0)\nint getFaceFromDirection(vec3 direction) {\n\tvec3 absDirection = abs(direction);\n\tint face = -1;\n\tif( absDirection.x > absDirection.z ) {\n\t\tif(absDirection.x > absDirection.y )\n\t\t\tface = direction.x > 0.0 ? 0 : 3;\n\t\telse\n\t\t\tface = direction.y > 0.0 ? 1 : 4;\n\t}\n\telse {\n\t\tif(absDirection.z > absDirection.y )\n\t\t\tface = direction.z > 0.0 ? 2 : 5;\n\t\telse\n\t\t\tface = direction.y > 0.0 ? 1 : 4;\n\t}\n\treturn face;\n}\n#define cubeUV_maxLods1 (log2(cubeUV_textureSize*0.25) - 1.0)\n#define cubeUV_rangeClamp (exp2((6.0 - 1.0) * 2.0))\nvec2 MipLevelInfo( vec3 vec, float roughnessLevel, float roughness ) {\n\tfloat scale = exp2(cubeUV_maxLods1 - roughnessLevel);\n\tfloat dxRoughness = dFdx(roughness);\n\tfloat dyRoughness = dFdy(roughness);\n\tvec3 dx = dFdx( vec * scale * dxRoughness );\n\tvec3 dy = dFdy( vec * scale * dyRoughness );\n\tfloat d = max( dot( dx, dx ), dot( dy, dy ) );\n\td = clamp(d, 1.0, cubeUV_rangeClamp);\n\tfloat mipLevel = 0.5 * log2(d);\n\treturn vec2(floor(mipLevel), fract(mipLevel));\n}\n#define cubeUV_maxLods2 (log2(cubeUV_textureSize*0.25) - 2.0)\n#define cubeUV_rcpTextureSize (1.0 / cubeUV_textureSize)\nvec2 getCubeUV(vec3 direction, float roughnessLevel, float mipLevel) {\n\tmipLevel = roughnessLevel > cubeUV_maxLods2 - 3.0 ? 0.0 : mipLevel;\n\tfloat a = 16.0 * cubeUV_rcpTextureSize;\n\tvec2 exp2_packed = exp2( vec2( roughnessLevel, mipLevel ) );\n\tvec2 rcp_exp2_packed = vec2( 1.0 ) / exp2_packed;\n\tfloat powScale = exp2_packed.x * exp2_packed.y;\n\tfloat scale = rcp_exp2_packed.x * rcp_exp2_packed.y * 0.25;\n\tfloat mipOffset = 0.75*(1.0 - rcp_exp2_packed.y) * rcp_exp2_packed.x;\n\tbool bRes = mipLevel == 0.0;\n\tscale = bRes && (scale < a) ? a : scale;\n\tvec3 r;\n\tvec2 offset;\n\tint face = getFaceFromDirection(direction);\n\tfloat rcpPowScale = 1.0 / powScale;\n\tif( face == 0) {\n\t\tr = vec3(direction.x, -direction.z, direction.y);\n\t\toffset = vec2(0.0+mipOffset,0.75 * rcpPowScale);\n\t\toffset.y = bRes && (offset.y < 2.0*a) ? a : offset.y;\n\t}\n\telse if( face == 1) {\n\t\tr = vec3(direction.y, direction.x, direction.z);\n\t\toffset = vec2(scale+mipOffset, 0.75 * rcpPowScale);\n\t\toffset.y = bRes && (offset.y < 2.0*a) ? a : offset.y;\n\t}\n\telse if( face == 2) {\n\t\tr = vec3(direction.z, direction.x, direction.y);\n\t\toffset = vec2(2.0*scale+mipOffset, 0.75 * rcpPowScale);\n\t\toffset.y = bRes && (offset.y < 2.0*a) ? a : offset.y;\n\t}\n\telse if( face == 3) {\n\t\tr = vec3(direction.x, direction.z, direction.y);\n\t\toffset = vec2(0.0+mipOffset,0.5 * rcpPowScale);\n\t\toffset.y = bRes && (offset.y < 2.0*a) ? 0.0 : offset.y;\n\t}\n\telse if( face == 4) {\n\t\tr = vec3(direction.y, direction.x, -direction.z);\n\t\toffset = vec2(scale+mipOffset, 0.5 * rcpPowScale);\n\t\toffset.y = bRes && (offset.y < 2.0*a) ? 0.0 : offset.y;\n\t}\n\telse {\n\t\tr = vec3(direction.z, -direction.x, direction.y);\n\t\toffset = vec2(2.0*scale+mipOffset, 0.5 * rcpPowScale);\n\t\toffset.y = bRes && (offset.y < 2.0*a) ? 0.0 : offset.y;\n\t}\n\tr = normalize(r);\n\tfloat texelOffset = 0.5 * cubeUV_rcpTextureSize;\n\tvec2 s = ( r.yz / abs( r.x ) + vec2( 1.0 ) ) * 0.5;\n\tvec2 base = offset + vec2( texelOffset );\n\treturn base + s * ( scale - 2.0 * texelOffset );\n}\n#define cubeUV_maxLods3 (log2(cubeUV_textureSize*0.25) - 3.0)\nvec4 textureCubeUV( sampler2D envMap, vec3 reflectedDirection, float roughness ) {\n\tfloat roughnessVal = roughness* cubeUV_maxLods3;\n\tfloat r1 = floor(roughnessVal);\n\tfloat r2 = r1 + 1.0;\n\tfloat t = fract(roughnessVal);\n\tvec2 mipInfo = MipLevelInfo(reflectedDirection, r1, roughness);\n\tfloat s = mipInfo.y;\n\tfloat level0 = mipInfo.x;\n\tfloat level1 = level0 + 1.0;\n\tlevel1 = level1 > 5.0 ? 5.0 : level1;\n\tlevel0 += min( floor( s + 0.5 ), 5.0 );\n\tvec2 uv_10 = getCubeUV(reflectedDirection, r1, level0);\n\tvec4 color10 = envMapTexelToLinear(texture2D(envMap, uv_10));\n\tvec2 uv_20 = getCubeUV(reflectedDirection, r2, level0);\n\tvec4 color20 = envMapTexelToLinear(texture2D(envMap, uv_20));\n\tvec4 result = mix(color10, color20, t);\n\treturn vec4(result.rgb, 1.0);\n}\n#endif\n", +defaultnormal_vertex:"vec3 transformedNormal = normalMatrix * objectNormal;\n#ifdef FLIP_SIDED\n\ttransformedNormal = - transformedNormal;\n#endif\n",displacementmap_pars_vertex:"#ifdef USE_DISPLACEMENTMAP\n\tuniform sampler2D displacementMap;\n\tuniform float displacementScale;\n\tuniform float displacementBias;\n#endif\n",displacementmap_vertex:"#ifdef USE_DISPLACEMENTMAP\n\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, uv ).x * displacementScale + displacementBias );\n#endif\n", +emissivemap_fragment:"#ifdef USE_EMISSIVEMAP\n\tvec4 emissiveColor = texture2D( emissiveMap, vUv );\n\temissiveColor.rgb = emissiveMapTexelToLinear( emissiveColor ).rgb;\n\ttotalEmissiveRadiance *= emissiveColor.rgb;\n#endif\n",emissivemap_pars_fragment:"#ifdef USE_EMISSIVEMAP\n\tuniform sampler2D emissiveMap;\n#endif\n",encodings_fragment:" gl_FragColor = linearToOutputTexel( gl_FragColor );\n",encodings_pars_fragment:"\nvec4 LinearToLinear( in vec4 value ) {\n\treturn value;\n}\nvec4 GammaToLinear( in vec4 value, in float gammaFactor ) {\n\treturn vec4( pow( value.rgb, vec3( gammaFactor ) ), value.a );\n}\nvec4 LinearToGamma( in vec4 value, in float gammaFactor ) {\n\treturn vec4( pow( value.rgb, vec3( 1.0 / gammaFactor ) ), value.a );\n}\nvec4 sRGBToLinear( in vec4 value ) {\n\treturn vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a );\n}\nvec4 LinearTosRGB( in vec4 value ) {\n\treturn vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );\n}\nvec4 RGBEToLinear( in vec4 value ) {\n\treturn vec4( value.rgb * exp2( value.a * 255.0 - 128.0 ), 1.0 );\n}\nvec4 LinearToRGBE( in vec4 value ) {\n\tfloat maxComponent = max( max( value.r, value.g ), value.b );\n\tfloat fExp = clamp( ceil( log2( maxComponent ) ), -128.0, 127.0 );\n\treturn vec4( value.rgb / exp2( fExp ), ( fExp + 128.0 ) / 255.0 );\n}\nvec4 RGBMToLinear( in vec4 value, in float maxRange ) {\n\treturn vec4( value.rgb * value.a * maxRange, 1.0 );\n}\nvec4 LinearToRGBM( in vec4 value, in float maxRange ) {\n\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\n\tfloat M = clamp( maxRGB / maxRange, 0.0, 1.0 );\n\tM = ceil( M * 255.0 ) / 255.0;\n\treturn vec4( value.rgb / ( M * maxRange ), M );\n}\nvec4 RGBDToLinear( in vec4 value, in float maxRange ) {\n\treturn vec4( value.rgb * ( ( maxRange / 255.0 ) / value.a ), 1.0 );\n}\nvec4 LinearToRGBD( in vec4 value, in float maxRange ) {\n\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\n\tfloat D = max( maxRange / maxRGB, 1.0 );\n\tD = min( floor( D ) / 255.0, 1.0 );\n\treturn vec4( value.rgb * ( D * ( 255.0 / maxRange ) ), D );\n}\nconst mat3 cLogLuvM = mat3( 0.2209, 0.3390, 0.4184, 0.1138, 0.6780, 0.7319, 0.0102, 0.1130, 0.2969 );\nvec4 LinearToLogLuv( in vec4 value ) {\n\tvec3 Xp_Y_XYZp = value.rgb * cLogLuvM;\n\tXp_Y_XYZp = max( Xp_Y_XYZp, vec3( 1e-6, 1e-6, 1e-6 ) );\n\tvec4 vResult;\n\tvResult.xy = Xp_Y_XYZp.xy / Xp_Y_XYZp.z;\n\tfloat Le = 2.0 * log2(Xp_Y_XYZp.y) + 127.0;\n\tvResult.w = fract( Le );\n\tvResult.z = ( Le - ( floor( vResult.w * 255.0 ) ) / 255.0 ) / 255.0;\n\treturn vResult;\n}\nconst mat3 cLogLuvInverseM = mat3( 6.0014, -2.7008, -1.7996, -1.3320, 3.1029, -5.7721, 0.3008, -1.0882, 5.6268 );\nvec4 LogLuvToLinear( in vec4 value ) {\n\tfloat Le = value.z * 255.0 + value.w;\n\tvec3 Xp_Y_XYZp;\n\tXp_Y_XYZp.y = exp2( ( Le - 127.0 ) / 2.0 );\n\tXp_Y_XYZp.z = Xp_Y_XYZp.y / value.y;\n\tXp_Y_XYZp.x = value.x * Xp_Y_XYZp.z;\n\tvec3 vRGB = Xp_Y_XYZp.rgb * cLogLuvInverseM;\n\treturn vec4( max( vRGB, 0.0 ), 1.0 );\n}\n", +envmap_fragment:"#ifdef USE_ENVMAP\n\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG )\n\t\tvec3 cameraToVertex = normalize( vWorldPosition - cameraPosition );\n\t\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\n\t\t#ifdef ENVMAP_MODE_REFLECTION\n\t\t\tvec3 reflectVec = reflect( cameraToVertex, worldNormal );\n\t\t#else\n\t\t\tvec3 reflectVec = refract( cameraToVertex, worldNormal, refractionRatio );\n\t\t#endif\n\t#else\n\t\tvec3 reflectVec = vReflect;\n\t#endif\n\t#ifdef ENVMAP_TYPE_CUBE\n\t\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\n\t#elif defined( ENVMAP_TYPE_EQUIREC )\n\t\tvec2 sampleUV;\n\t\treflectVec = normalize( reflectVec );\n\t\tsampleUV.y = asin( clamp( reflectVec.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\n\t\tsampleUV.x = atan( reflectVec.z, reflectVec.x ) * RECIPROCAL_PI2 + 0.5;\n\t\tvec4 envColor = texture2D( envMap, sampleUV );\n\t#elif defined( ENVMAP_TYPE_SPHERE )\n\t\treflectVec = normalize( reflectVec );\n\t\tvec3 reflectView = normalize( ( viewMatrix * vec4( reflectVec, 0.0 ) ).xyz + vec3( 0.0, 0.0, 1.0 ) );\n\t\tvec4 envColor = texture2D( envMap, reflectView.xy * 0.5 + 0.5 );\n\t#else\n\t\tvec4 envColor = vec4( 0.0 );\n\t#endif\n\tenvColor = envMapTexelToLinear( envColor );\n\t#ifdef ENVMAP_BLENDING_MULTIPLY\n\t\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\n\t#elif defined( ENVMAP_BLENDING_MIX )\n\t\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\n\t#elif defined( ENVMAP_BLENDING_ADD )\n\t\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\n\t#endif\n#endif\n", +envmap_pars_fragment:"#if defined( USE_ENVMAP ) || defined( PHYSICAL )\n\tuniform float reflectivity;\n\tuniform float envMapIntensity;\n#endif\n#ifdef USE_ENVMAP\n\t#if ! defined( PHYSICAL ) && ( defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) )\n\t\tvarying vec3 vWorldPosition;\n\t#endif\n\t#ifdef ENVMAP_TYPE_CUBE\n\t\tuniform samplerCube envMap;\n\t#else\n\t\tuniform sampler2D envMap;\n\t#endif\n\tuniform float flipEnvMap;\n\tuniform int maxMipLevel;\n\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( PHYSICAL )\n\t\tuniform float refractionRatio;\n\t#else\n\t\tvarying vec3 vReflect;\n\t#endif\n#endif\n", +envmap_pars_vertex:"#ifdef USE_ENVMAP\n\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG )\n\t\tvarying vec3 vWorldPosition;\n\t#else\n\t\tvarying vec3 vReflect;\n\t\tuniform float refractionRatio;\n\t#endif\n#endif\n",envmap_physical_pars_fragment:"#if defined( USE_ENVMAP ) && defined( PHYSICAL )\n\tvec3 getLightProbeIndirectIrradiance( const in GeometricContext geometry, const in int maxMIPLevel ) {\n\t\tvec3 worldNormal = inverseTransformDirection( geometry.normal, viewMatrix );\n\t\t#ifdef ENVMAP_TYPE_CUBE\n\t\t\tvec3 queryVec = vec3( flipEnvMap * worldNormal.x, worldNormal.yz );\n\t\t\t#ifdef TEXTURE_LOD_EXT\n\t\t\t\tvec4 envMapColor = textureCubeLodEXT( envMap, queryVec, float( maxMIPLevel ) );\n\t\t\t#else\n\t\t\t\tvec4 envMapColor = textureCube( envMap, queryVec, float( maxMIPLevel ) );\n\t\t\t#endif\n\t\t\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\n\t\t#elif defined( ENVMAP_TYPE_CUBE_UV )\n\t\t\tvec3 queryVec = vec3( flipEnvMap * worldNormal.x, worldNormal.yz );\n\t\t\tvec4 envMapColor = textureCubeUV( envMap, queryVec, 1.0 );\n\t\t#else\n\t\t\tvec4 envMapColor = vec4( 0.0 );\n\t\t#endif\n\t\treturn PI * envMapColor.rgb * envMapIntensity;\n\t}\n\tfloat getSpecularMIPLevel( const in float blinnShininessExponent, const in int maxMIPLevel ) {\n\t\tfloat maxMIPLevelScalar = float( maxMIPLevel );\n\t\tfloat desiredMIPLevel = maxMIPLevelScalar + 0.79248 - 0.5 * log2( pow2( blinnShininessExponent ) + 1.0 );\n\t\treturn clamp( desiredMIPLevel, 0.0, maxMIPLevelScalar );\n\t}\n\tvec3 getLightProbeIndirectRadiance( const in GeometricContext geometry, const in float blinnShininessExponent, const in int maxMIPLevel ) {\n\t\t#ifdef ENVMAP_MODE_REFLECTION\n\t\t\tvec3 reflectVec = reflect( -geometry.viewDir, geometry.normal );\n\t\t#else\n\t\t\tvec3 reflectVec = refract( -geometry.viewDir, geometry.normal, refractionRatio );\n\t\t#endif\n\t\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\n\t\tfloat specularMIPLevel = getSpecularMIPLevel( blinnShininessExponent, maxMIPLevel );\n\t\t#ifdef ENVMAP_TYPE_CUBE\n\t\t\tvec3 queryReflectVec = vec3( flipEnvMap * reflectVec.x, reflectVec.yz );\n\t\t\t#ifdef TEXTURE_LOD_EXT\n\t\t\t\tvec4 envMapColor = textureCubeLodEXT( envMap, queryReflectVec, specularMIPLevel );\n\t\t\t#else\n\t\t\t\tvec4 envMapColor = textureCube( envMap, queryReflectVec, specularMIPLevel );\n\t\t\t#endif\n\t\t\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\n\t\t#elif defined( ENVMAP_TYPE_CUBE_UV )\n\t\t\tvec3 queryReflectVec = vec3( flipEnvMap * reflectVec.x, reflectVec.yz );\n\t\t\tvec4 envMapColor = textureCubeUV( envMap, queryReflectVec, BlinnExponentToGGXRoughness(blinnShininessExponent ));\n\t\t#elif defined( ENVMAP_TYPE_EQUIREC )\n\t\t\tvec2 sampleUV;\n\t\t\tsampleUV.y = asin( clamp( reflectVec.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\n\t\t\tsampleUV.x = atan( reflectVec.z, reflectVec.x ) * RECIPROCAL_PI2 + 0.5;\n\t\t\t#ifdef TEXTURE_LOD_EXT\n\t\t\t\tvec4 envMapColor = texture2DLodEXT( envMap, sampleUV, specularMIPLevel );\n\t\t\t#else\n\t\t\t\tvec4 envMapColor = texture2D( envMap, sampleUV, specularMIPLevel );\n\t\t\t#endif\n\t\t\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\n\t\t#elif defined( ENVMAP_TYPE_SPHERE )\n\t\t\tvec3 reflectView = normalize( ( viewMatrix * vec4( reflectVec, 0.0 ) ).xyz + vec3( 0.0,0.0,1.0 ) );\n\t\t\t#ifdef TEXTURE_LOD_EXT\n\t\t\t\tvec4 envMapColor = texture2DLodEXT( envMap, reflectView.xy * 0.5 + 0.5, specularMIPLevel );\n\t\t\t#else\n\t\t\t\tvec4 envMapColor = texture2D( envMap, reflectView.xy * 0.5 + 0.5, specularMIPLevel );\n\t\t\t#endif\n\t\t\tenvMapColor.rgb = envMapTexelToLinear( envMapColor ).rgb;\n\t\t#endif\n\t\treturn envMapColor.rgb * envMapIntensity;\n\t}\n#endif\n", +envmap_vertex:"#ifdef USE_ENVMAP\n\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG )\n\t\tvWorldPosition = worldPosition.xyz;\n\t#else\n\t\tvec3 cameraToVertex = normalize( worldPosition.xyz - cameraPosition );\n\t\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\n\t\t#ifdef ENVMAP_MODE_REFLECTION\n\t\t\tvReflect = reflect( cameraToVertex, worldNormal );\n\t\t#else\n\t\t\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\n\t\t#endif\n\t#endif\n#endif\n", +fog_vertex:"#ifdef USE_FOG\n\tfogDepth = -mvPosition.z;\n#endif\n",fog_pars_vertex:"#ifdef USE_FOG\n\tvarying float fogDepth;\n#endif\n",fog_fragment:"#ifdef USE_FOG\n\t#ifdef FOG_EXP2\n\t\tfloat fogFactor = whiteCompliment( exp2( - fogDensity * fogDensity * fogDepth * fogDepth * LOG2 ) );\n\t#else\n\t\tfloat fogFactor = smoothstep( fogNear, fogFar, fogDepth );\n\t#endif\n\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\n#endif\n",fog_pars_fragment:"#ifdef USE_FOG\n\tuniform vec3 fogColor;\n\tvarying float fogDepth;\n\t#ifdef FOG_EXP2\n\t\tuniform float fogDensity;\n\t#else\n\t\tuniform float fogNear;\n\t\tuniform float fogFar;\n\t#endif\n#endif\n", +gradientmap_pars_fragment:"#ifdef TOON\n\tuniform sampler2D gradientMap;\n\tvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\n\t\tfloat dotNL = dot( normal, lightDirection );\n\t\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\n\t\t#ifdef USE_GRADIENTMAP\n\t\t\treturn texture2D( gradientMap, coord ).rgb;\n\t\t#else\n\t\t\treturn ( coord.x < 0.7 ) ? vec3( 0.7 ) : vec3( 1.0 );\n\t\t#endif\n\t}\n#endif\n",lightmap_fragment:"#ifdef USE_LIGHTMAP\n\treflectedLight.indirectDiffuse += PI * texture2D( lightMap, vUv2 ).xyz * lightMapIntensity;\n#endif\n", +lightmap_pars_fragment:"#ifdef USE_LIGHTMAP\n\tuniform sampler2D lightMap;\n\tuniform float lightMapIntensity;\n#endif",lights_lambert_vertex:"vec3 diffuse = vec3( 1.0 );\nGeometricContext geometry;\ngeometry.position = mvPosition.xyz;\ngeometry.normal = normalize( transformedNormal );\ngeometry.viewDir = normalize( -mvPosition.xyz );\nGeometricContext backGeometry;\nbackGeometry.position = geometry.position;\nbackGeometry.normal = -geometry.normal;\nbackGeometry.viewDir = geometry.viewDir;\nvLightFront = vec3( 0.0 );\n#ifdef DOUBLE_SIDED\n\tvLightBack = vec3( 0.0 );\n#endif\nIncidentLight directLight;\nfloat dotNL;\nvec3 directLightColor_Diffuse;\n#if NUM_POINT_LIGHTS > 0\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\n\t\tgetPointDirectLightIrradiance( pointLights[ i ], geometry, directLight );\n\t\tdotNL = dot( geometry.normal, directLight.direction );\n\t\tdirectLightColor_Diffuse = PI * directLight.color;\n\t\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\n\t\t#endif\n\t}\n#endif\n#if NUM_SPOT_LIGHTS > 0\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\n\t\tgetSpotDirectLightIrradiance( spotLights[ i ], geometry, directLight );\n\t\tdotNL = dot( geometry.normal, directLight.direction );\n\t\tdirectLightColor_Diffuse = PI * directLight.color;\n\t\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\n\t\t#endif\n\t}\n#endif\n#if NUM_DIR_LIGHTS > 0\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\n\t\tgetDirectionalDirectLightIrradiance( directionalLights[ i ], geometry, directLight );\n\t\tdotNL = dot( geometry.normal, directLight.direction );\n\t\tdirectLightColor_Diffuse = PI * directLight.color;\n\t\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tvLightBack += saturate( -dotNL ) * directLightColor_Diffuse;\n\t\t#endif\n\t}\n#endif\n#if NUM_HEMI_LIGHTS > 0\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\n\t\tvLightFront += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry );\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tvLightBack += getHemisphereLightIrradiance( hemisphereLights[ i ], backGeometry );\n\t\t#endif\n\t}\n#endif\n", +lights_pars_begin:"uniform vec3 ambientLightColor;\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\n\tvec3 irradiance = ambientLightColor;\n\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\tirradiance *= PI;\n\t#endif\n\treturn irradiance;\n}\n#if NUM_DIR_LIGHTS > 0\n\tstruct DirectionalLight {\n\t\tvec3 direction;\n\t\tvec3 color;\n\t\tint shadow;\n\t\tfloat shadowBias;\n\t\tfloat shadowRadius;\n\t\tvec2 shadowMapSize;\n\t};\n\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\n\tvoid getDirectionalDirectLightIrradiance( const in DirectionalLight directionalLight, const in GeometricContext geometry, out IncidentLight directLight ) {\n\t\tdirectLight.color = directionalLight.color;\n\t\tdirectLight.direction = directionalLight.direction;\n\t\tdirectLight.visible = true;\n\t}\n#endif\n#if NUM_POINT_LIGHTS > 0\n\tstruct PointLight {\n\t\tvec3 position;\n\t\tvec3 color;\n\t\tfloat distance;\n\t\tfloat decay;\n\t\tint shadow;\n\t\tfloat shadowBias;\n\t\tfloat shadowRadius;\n\t\tvec2 shadowMapSize;\n\t\tfloat shadowCameraNear;\n\t\tfloat shadowCameraFar;\n\t};\n\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\n\tvoid getPointDirectLightIrradiance( const in PointLight pointLight, const in GeometricContext geometry, out IncidentLight directLight ) {\n\t\tvec3 lVector = pointLight.position - geometry.position;\n\t\tdirectLight.direction = normalize( lVector );\n\t\tfloat lightDistance = length( lVector );\n\t\tdirectLight.color = pointLight.color;\n\t\tdirectLight.color *= punctualLightIntensityToIrradianceFactor( lightDistance, pointLight.distance, pointLight.decay );\n\t\tdirectLight.visible = ( directLight.color != vec3( 0.0 ) );\n\t}\n#endif\n#if NUM_SPOT_LIGHTS > 0\n\tstruct SpotLight {\n\t\tvec3 position;\n\t\tvec3 direction;\n\t\tvec3 color;\n\t\tfloat distance;\n\t\tfloat decay;\n\t\tfloat coneCos;\n\t\tfloat penumbraCos;\n\t\tint shadow;\n\t\tfloat shadowBias;\n\t\tfloat shadowRadius;\n\t\tvec2 shadowMapSize;\n\t};\n\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\n\tvoid getSpotDirectLightIrradiance( const in SpotLight spotLight, const in GeometricContext geometry, out IncidentLight directLight ) {\n\t\tvec3 lVector = spotLight.position - geometry.position;\n\t\tdirectLight.direction = normalize( lVector );\n\t\tfloat lightDistance = length( lVector );\n\t\tfloat angleCos = dot( directLight.direction, spotLight.direction );\n\t\tif ( angleCos > spotLight.coneCos ) {\n\t\t\tfloat spotEffect = smoothstep( spotLight.coneCos, spotLight.penumbraCos, angleCos );\n\t\t\tdirectLight.color = spotLight.color;\n\t\t\tdirectLight.color *= spotEffect * punctualLightIntensityToIrradianceFactor( lightDistance, spotLight.distance, spotLight.decay );\n\t\t\tdirectLight.visible = true;\n\t\t} else {\n\t\t\tdirectLight.color = vec3( 0.0 );\n\t\t\tdirectLight.visible = false;\n\t\t}\n\t}\n#endif\n#if NUM_RECT_AREA_LIGHTS > 0\n\tstruct RectAreaLight {\n\t\tvec3 color;\n\t\tvec3 position;\n\t\tvec3 halfWidth;\n\t\tvec3 halfHeight;\n\t};\n\tuniform sampler2D ltc_1;\tuniform sampler2D ltc_2;\n\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\n#endif\n#if NUM_HEMI_LIGHTS > 0\n\tstruct HemisphereLight {\n\t\tvec3 direction;\n\t\tvec3 skyColor;\n\t\tvec3 groundColor;\n\t};\n\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\n\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in GeometricContext geometry ) {\n\t\tfloat dotNL = dot( geometry.normal, hemiLight.direction );\n\t\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\n\t\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\n\t\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\t\tirradiance *= PI;\n\t\t#endif\n\t\treturn irradiance;\n\t}\n#endif\n", +lights_phong_fragment:"BlinnPhongMaterial material;\nmaterial.diffuseColor = diffuseColor.rgb;\nmaterial.specularColor = specular;\nmaterial.specularShininess = shininess;\nmaterial.specularStrength = specularStrength;\n",lights_phong_pars_fragment:"varying vec3 vViewPosition;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\nstruct BlinnPhongMaterial {\n\tvec3\tdiffuseColor;\n\tvec3\tspecularColor;\n\tfloat\tspecularShininess;\n\tfloat\tspecularStrength;\n};\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\n\t#ifdef TOON\n\t\tvec3 irradiance = getGradientIrradiance( geometry.normal, directLight.direction ) * directLight.color;\n\t#else\n\t\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\n\t\tvec3 irradiance = dotNL * directLight.color;\n\t#endif\n\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\tirradiance *= PI;\n\t#endif\n\treflectedLight.directDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n\treflectedLight.directSpecular += irradiance * BRDF_Specular_BlinnPhong( directLight, geometry, material.specularColor, material.specularShininess ) * material.specularStrength;\n}\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\n\treflectedLight.indirectDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n}\n#define RE_Direct\t\t\t\tRE_Direct_BlinnPhong\n#define RE_IndirectDiffuse\t\tRE_IndirectDiffuse_BlinnPhong\n#define Material_LightProbeLOD( material )\t(0)\n", +lights_physical_fragment:"PhysicalMaterial material;\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\nmaterial.specularRoughness = clamp( roughnessFactor, 0.04, 1.0 );\n#ifdef STANDARD\n\tmaterial.specularColor = mix( vec3( DEFAULT_SPECULAR_COEFFICIENT ), diffuseColor.rgb, metalnessFactor );\n#else\n\tmaterial.specularColor = mix( vec3( MAXIMUM_SPECULAR_COEFFICIENT * pow2( reflectivity ) ), diffuseColor.rgb, metalnessFactor );\n\tmaterial.clearCoat = saturate( clearCoat );\tmaterial.clearCoatRoughness = clamp( clearCoatRoughness, 0.04, 1.0 );\n#endif\n", +lights_physical_pars_fragment:"struct PhysicalMaterial {\n\tvec3\tdiffuseColor;\n\tfloat\tspecularRoughness;\n\tvec3\tspecularColor;\n\t#ifndef STANDARD\n\t\tfloat clearCoat;\n\t\tfloat clearCoatRoughness;\n\t#endif\n};\n#define MAXIMUM_SPECULAR_COEFFICIENT 0.16\n#define DEFAULT_SPECULAR_COEFFICIENT 0.04\nfloat clearCoatDHRApprox( const in float roughness, const in float dotNL ) {\n\treturn DEFAULT_SPECULAR_COEFFICIENT + ( 1.0 - DEFAULT_SPECULAR_COEFFICIENT ) * ( pow( 1.0 - dotNL, 5.0 ) * pow( 1.0 - roughness, 2.0 ) );\n}\n#if NUM_RECT_AREA_LIGHTS > 0\n\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\n\t\tvec3 normal = geometry.normal;\n\t\tvec3 viewDir = geometry.viewDir;\n\t\tvec3 position = geometry.position;\n\t\tvec3 lightPos = rectAreaLight.position;\n\t\tvec3 halfWidth = rectAreaLight.halfWidth;\n\t\tvec3 halfHeight = rectAreaLight.halfHeight;\n\t\tvec3 lightColor = rectAreaLight.color;\n\t\tfloat roughness = material.specularRoughness;\n\t\tvec3 rectCoords[ 4 ];\n\t\trectCoords[ 0 ] = lightPos - halfWidth - halfHeight;\t\trectCoords[ 1 ] = lightPos + halfWidth - halfHeight;\n\t\trectCoords[ 2 ] = lightPos + halfWidth + halfHeight;\n\t\trectCoords[ 3 ] = lightPos - halfWidth + halfHeight;\n\t\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\n\t\tvec4 t1 = texture2D( ltc_1, uv );\n\t\tvec4 t2 = texture2D( ltc_2, uv );\n\t\tmat3 mInv = mat3(\n\t\t\tvec3( t1.x, 0, t1.y ),\n\t\t\tvec3( 0, 1, 0 ),\n\t\t\tvec3( t1.z, 0, t1.w )\n\t\t);\n\t\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\n\t\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\n\t\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\n\t}\n#endif\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\n\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\n\tvec3 irradiance = dotNL * directLight.color;\n\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\tirradiance *= PI;\n\t#endif\n\t#ifndef STANDARD\n\t\tfloat clearCoatDHR = material.clearCoat * clearCoatDHRApprox( material.clearCoatRoughness, dotNL );\n\t#else\n\t\tfloat clearCoatDHR = 0.0;\n\t#endif\n\treflectedLight.directSpecular += ( 1.0 - clearCoatDHR ) * irradiance * BRDF_Specular_GGX( directLight, geometry, material.specularColor, material.specularRoughness );\n\treflectedLight.directDiffuse += ( 1.0 - clearCoatDHR ) * irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n\t#ifndef STANDARD\n\t\treflectedLight.directSpecular += irradiance * material.clearCoat * BRDF_Specular_GGX( directLight, geometry, vec3( DEFAULT_SPECULAR_COEFFICIENT ), material.clearCoatRoughness );\n\t#endif\n}\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\n\treflectedLight.indirectDiffuse += irradiance * BRDF_Diffuse_Lambert( material.diffuseColor );\n}\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 clearCoatRadiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\n\t#ifndef STANDARD\n\t\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\n\t\tfloat dotNL = dotNV;\n\t\tfloat clearCoatDHR = material.clearCoat * clearCoatDHRApprox( material.clearCoatRoughness, dotNL );\n\t#else\n\t\tfloat clearCoatDHR = 0.0;\n\t#endif\n\treflectedLight.indirectSpecular += ( 1.0 - clearCoatDHR ) * radiance * BRDF_Specular_GGX_Environment( geometry, material.specularColor, material.specularRoughness );\n\t#ifndef STANDARD\n\t\treflectedLight.indirectSpecular += clearCoatRadiance * material.clearCoat * BRDF_Specular_GGX_Environment( geometry, vec3( DEFAULT_SPECULAR_COEFFICIENT ), material.clearCoatRoughness );\n\t#endif\n}\n#define RE_Direct\t\t\t\tRE_Direct_Physical\n#define RE_Direct_RectArea\t\tRE_Direct_RectArea_Physical\n#define RE_IndirectDiffuse\t\tRE_IndirectDiffuse_Physical\n#define RE_IndirectSpecular\t\tRE_IndirectSpecular_Physical\n#define Material_BlinnShininessExponent( material ) GGXRoughnessToBlinnExponent( material.specularRoughness )\n#define Material_ClearCoat_BlinnShininessExponent( material ) GGXRoughnessToBlinnExponent( material.clearCoatRoughness )\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\n\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\n}\n", +lights_fragment_begin:"\nGeometricContext geometry;\ngeometry.position = - vViewPosition;\ngeometry.normal = normal;\ngeometry.viewDir = normalize( vViewPosition );\nIncidentLight directLight;\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\n\tPointLight pointLight;\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\n\t\tpointLight = pointLights[ i ];\n\t\tgetPointDirectLightIrradiance( pointLight, geometry, directLight );\n\t\t#ifdef USE_SHADOWMAP\n\t\tdirectLight.color *= all( bvec2( pointLight.shadow, directLight.visible ) ) ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\n\t\t#endif\n\t\tRE_Direct( directLight, geometry, material, reflectedLight );\n\t}\n#endif\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\n\tSpotLight spotLight;\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\n\t\tspotLight = spotLights[ i ];\n\t\tgetSpotDirectLightIrradiance( spotLight, geometry, directLight );\n\t\t#ifdef USE_SHADOWMAP\n\t\tdirectLight.color *= all( bvec2( spotLight.shadow, directLight.visible ) ) ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\n\t\t#endif\n\t\tRE_Direct( directLight, geometry, material, reflectedLight );\n\t}\n#endif\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\n\tDirectionalLight directionalLight;\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\n\t\tdirectionalLight = directionalLights[ i ];\n\t\tgetDirectionalDirectLightIrradiance( directionalLight, geometry, directLight );\n\t\t#ifdef USE_SHADOWMAP\n\t\tdirectLight.color *= all( bvec2( directionalLight.shadow, directLight.visible ) ) ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\n\t\t#endif\n\t\tRE_Direct( directLight, geometry, material, reflectedLight );\n\t}\n#endif\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\n\tRectAreaLight rectAreaLight;\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\n\t\trectAreaLight = rectAreaLights[ i ];\n\t\tRE_Direct_RectArea( rectAreaLight, geometry, material, reflectedLight );\n\t}\n#endif\n#if defined( RE_IndirectDiffuse )\n\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\n\t#if ( NUM_HEMI_LIGHTS > 0 )\n\t\t#pragma unroll_loop\n\t\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\n\t\t\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry );\n\t\t}\n\t#endif\n#endif\n#if defined( RE_IndirectSpecular )\n\tvec3 radiance = vec3( 0.0 );\n\tvec3 clearCoatRadiance = vec3( 0.0 );\n#endif\n", +lights_fragment_maps:"#if defined( RE_IndirectDiffuse )\n\t#ifdef USE_LIGHTMAP\n\t\tvec3 lightMapIrradiance = texture2D( lightMap, vUv2 ).xyz * lightMapIntensity;\n\t\t#ifndef PHYSICALLY_CORRECT_LIGHTS\n\t\t\tlightMapIrradiance *= PI;\n\t\t#endif\n\t\tirradiance += lightMapIrradiance;\n\t#endif\n\t#if defined( USE_ENVMAP ) && defined( PHYSICAL ) && defined( ENVMAP_TYPE_CUBE_UV )\n\t\tirradiance += getLightProbeIndirectIrradiance( geometry, maxMipLevel );\n\t#endif\n#endif\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\n\tradiance += getLightProbeIndirectRadiance( geometry, Material_BlinnShininessExponent( material ), maxMipLevel );\n\t#ifndef STANDARD\n\t\tclearCoatRadiance += getLightProbeIndirectRadiance( geometry, Material_ClearCoat_BlinnShininessExponent( material ), maxMipLevel );\n\t#endif\n#endif\n", +lights_fragment_end:"#if defined( RE_IndirectDiffuse )\n\tRE_IndirectDiffuse( irradiance, geometry, material, reflectedLight );\n#endif\n#if defined( RE_IndirectSpecular )\n\tRE_IndirectSpecular( radiance, clearCoatRadiance, geometry, material, reflectedLight );\n#endif\n",logdepthbuf_fragment:"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\n\tgl_FragDepthEXT = log2( vFragDepth ) * logDepthBufFC * 0.5;\n#endif",logdepthbuf_pars_fragment:"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\n\tuniform float logDepthBufFC;\n\tvarying float vFragDepth;\n#endif\n", +logdepthbuf_pars_vertex:"#ifdef USE_LOGDEPTHBUF\n\t#ifdef USE_LOGDEPTHBUF_EXT\n\t\tvarying float vFragDepth;\n\t#else\n\t\tuniform float logDepthBufFC;\n\t#endif\n#endif\n",logdepthbuf_vertex:"#ifdef USE_LOGDEPTHBUF\n\t#ifdef USE_LOGDEPTHBUF_EXT\n\t\tvFragDepth = 1.0 + gl_Position.w;\n\t#else\n\t\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\n\t\tgl_Position.z *= gl_Position.w;\n\t#endif\n#endif\n",map_fragment:"#ifdef USE_MAP\n\tvec4 texelColor = texture2D( map, vUv );\n\ttexelColor = mapTexelToLinear( texelColor );\n\tdiffuseColor *= texelColor;\n#endif\n", +map_pars_fragment:"#ifdef USE_MAP\n\tuniform sampler2D map;\n#endif\n",map_particle_fragment:"#ifdef USE_MAP\n\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\n\tvec4 mapTexel = texture2D( map, uv );\n\tdiffuseColor *= mapTexelToLinear( mapTexel );\n#endif\n",map_particle_pars_fragment:"#ifdef USE_MAP\n\tuniform mat3 uvTransform;\n\tuniform sampler2D map;\n#endif\n",metalnessmap_fragment:"float metalnessFactor = metalness;\n#ifdef USE_METALNESSMAP\n\tvec4 texelMetalness = texture2D( metalnessMap, vUv );\n\tmetalnessFactor *= texelMetalness.b;\n#endif\n", +metalnessmap_pars_fragment:"#ifdef USE_METALNESSMAP\n\tuniform sampler2D metalnessMap;\n#endif",morphnormal_vertex:"#ifdef USE_MORPHNORMALS\n\tobjectNormal += ( morphNormal0 - normal ) * morphTargetInfluences[ 0 ];\n\tobjectNormal += ( morphNormal1 - normal ) * morphTargetInfluences[ 1 ];\n\tobjectNormal += ( morphNormal2 - normal ) * morphTargetInfluences[ 2 ];\n\tobjectNormal += ( morphNormal3 - normal ) * morphTargetInfluences[ 3 ];\n#endif\n",morphtarget_pars_vertex:"#ifdef USE_MORPHTARGETS\n\t#ifndef USE_MORPHNORMALS\n\tuniform float morphTargetInfluences[ 8 ];\n\t#else\n\tuniform float morphTargetInfluences[ 4 ];\n\t#endif\n#endif", +morphtarget_vertex:"#ifdef USE_MORPHTARGETS\n\ttransformed += ( morphTarget0 - position ) * morphTargetInfluences[ 0 ];\n\ttransformed += ( morphTarget1 - position ) * morphTargetInfluences[ 1 ];\n\ttransformed += ( morphTarget2 - position ) * morphTargetInfluences[ 2 ];\n\ttransformed += ( morphTarget3 - position ) * morphTargetInfluences[ 3 ];\n\t#ifndef USE_MORPHNORMALS\n\ttransformed += ( morphTarget4 - position ) * morphTargetInfluences[ 4 ];\n\ttransformed += ( morphTarget5 - position ) * morphTargetInfluences[ 5 ];\n\ttransformed += ( morphTarget6 - position ) * morphTargetInfluences[ 6 ];\n\ttransformed += ( morphTarget7 - position ) * morphTargetInfluences[ 7 ];\n\t#endif\n#endif\n", +normal_fragment_begin:"#ifdef FLAT_SHADED\n\tvec3 fdx = vec3( dFdx( vViewPosition.x ), dFdx( vViewPosition.y ), dFdx( vViewPosition.z ) );\n\tvec3 fdy = vec3( dFdy( vViewPosition.x ), dFdy( vViewPosition.y ), dFdy( vViewPosition.z ) );\n\tvec3 normal = normalize( cross( fdx, fdy ) );\n#else\n\tvec3 normal = normalize( vNormal );\n\t#ifdef DOUBLE_SIDED\n\t\tnormal = normal * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t#endif\n#endif\n",normal_fragment_maps:"#ifdef USE_NORMALMAP\n\t#ifdef OBJECTSPACE_NORMALMAP\n\t\tnormal = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\n\t\t#ifdef FLIP_SIDED\n\t\t\tnormal = - normal;\n\t\t#endif\n\t\t#ifdef DOUBLE_SIDED\n\t\t\tnormal = normal * ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t\t#endif\n\t\tnormal = normalize( normalMatrix * normal );\n\t#else\n\t\tnormal = perturbNormal2Arb( -vViewPosition, normal );\n\t#endif\n#elif defined( USE_BUMPMAP )\n\tnormal = perturbNormalArb( -vViewPosition, normal, dHdxy_fwd() );\n#endif\n", +normalmap_pars_fragment:"#ifdef USE_NORMALMAP\n\tuniform sampler2D normalMap;\n\tuniform vec2 normalScale;\n\t#ifdef OBJECTSPACE_NORMALMAP\n\t\tuniform mat3 normalMatrix;\n\t#else\n\t\tvec3 perturbNormal2Arb( vec3 eye_pos, vec3 surf_norm ) {\n\t\t\tvec3 q0 = vec3( dFdx( eye_pos.x ), dFdx( eye_pos.y ), dFdx( eye_pos.z ) );\n\t\t\tvec3 q1 = vec3( dFdy( eye_pos.x ), dFdy( eye_pos.y ), dFdy( eye_pos.z ) );\n\t\t\tvec2 st0 = dFdx( vUv.st );\n\t\t\tvec2 st1 = dFdy( vUv.st );\n\t\t\tfloat scale = sign( st1.t * st0.s - st0.t * st1.s );\n\t\t\tvec3 S = normalize( ( q0 * st1.t - q1 * st0.t ) * scale );\n\t\t\tvec3 T = normalize( ( - q0 * st1.s + q1 * st0.s ) * scale );\n\t\t\tvec3 N = normalize( surf_norm );\n\t\t\tmat3 tsn = mat3( S, T, N );\n\t\t\tvec3 mapN = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\n\t\t\tmapN.xy *= normalScale;\n\t\t\tmapN.xy *= ( float( gl_FrontFacing ) * 2.0 - 1.0 );\n\t\t\treturn normalize( tsn * mapN );\n\t\t}\n\t#endif\n#endif\n", +packing:"vec3 packNormalToRGB( const in vec3 normal ) {\n\treturn normalize( normal ) * 0.5 + 0.5;\n}\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\n\treturn 2.0 * rgb.xyz - 1.0;\n}\nconst float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\nconst float ShiftRight8 = 1. / 256.;\nvec4 packDepthToRGBA( const in float v ) {\n\tvec4 r = vec4( fract( v * PackFactors ), v );\n\tr.yzw -= r.xyz * ShiftRight8;\treturn r * PackUpscale;\n}\nfloat unpackRGBAToDepth( const in vec4 v ) {\n\treturn dot( v, UnpackFactors );\n}\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\n\treturn ( viewZ + near ) / ( near - far );\n}\nfloat orthographicDepthToViewZ( const in float linearClipZ, const in float near, const in float far ) {\n\treturn linearClipZ * ( near - far ) - near;\n}\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\n\treturn (( near + viewZ ) * far ) / (( far - near ) * viewZ );\n}\nfloat perspectiveDepthToViewZ( const in float invClipZ, const in float near, const in float far ) {\n\treturn ( near * far ) / ( ( far - near ) * invClipZ - far );\n}\n", +premultiplied_alpha_fragment:"#ifdef PREMULTIPLIED_ALPHA\n\tgl_FragColor.rgb *= gl_FragColor.a;\n#endif\n",project_vertex:"vec4 mvPosition = modelViewMatrix * vec4( transformed, 1.0 );\ngl_Position = projectionMatrix * mvPosition;\n",dithering_fragment:"#if defined( DITHERING )\n gl_FragColor.rgb = dithering( gl_FragColor.rgb );\n#endif\n",dithering_pars_fragment:"#if defined( DITHERING )\n\tvec3 dithering( vec3 color ) {\n\t\tfloat grid_position = rand( gl_FragCoord.xy );\n\t\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\n\t\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\n\t\treturn color + dither_shift_RGB;\n\t}\n#endif\n", +roughnessmap_fragment:"float roughnessFactor = roughness;\n#ifdef USE_ROUGHNESSMAP\n\tvec4 texelRoughness = texture2D( roughnessMap, vUv );\n\troughnessFactor *= texelRoughness.g;\n#endif\n",roughnessmap_pars_fragment:"#ifdef USE_ROUGHNESSMAP\n\tuniform sampler2D roughnessMap;\n#endif",shadowmap_pars_fragment:"#ifdef USE_SHADOWMAP\n\t#if NUM_DIR_LIGHTS > 0\n\t\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHTS ];\n\t\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHTS ];\n\t#endif\n\t#if NUM_SPOT_LIGHTS > 0\n\t\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHTS ];\n\t\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHTS ];\n\t#endif\n\t#if NUM_POINT_LIGHTS > 0\n\t\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHTS ];\n\t\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHTS ];\n\t#endif\n\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\n\t\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\n\t}\n\tfloat texture2DShadowLerp( sampler2D depths, vec2 size, vec2 uv, float compare ) {\n\t\tconst vec2 offset = vec2( 0.0, 1.0 );\n\t\tvec2 texelSize = vec2( 1.0 ) / size;\n\t\tvec2 centroidUV = floor( uv * size + 0.5 ) / size;\n\t\tfloat lb = texture2DCompare( depths, centroidUV + texelSize * offset.xx, compare );\n\t\tfloat lt = texture2DCompare( depths, centroidUV + texelSize * offset.xy, compare );\n\t\tfloat rb = texture2DCompare( depths, centroidUV + texelSize * offset.yx, compare );\n\t\tfloat rt = texture2DCompare( depths, centroidUV + texelSize * offset.yy, compare );\n\t\tvec2 f = fract( uv * size + 0.5 );\n\t\tfloat a = mix( lb, lt, f.y );\n\t\tfloat b = mix( rb, rt, f.y );\n\t\tfloat c = mix( a, b, f.x );\n\t\treturn c;\n\t}\n\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\n\t\tfloat shadow = 1.0;\n\t\tshadowCoord.xyz /= shadowCoord.w;\n\t\tshadowCoord.z += shadowBias;\n\t\tbvec4 inFrustumVec = bvec4 ( shadowCoord.x >= 0.0, shadowCoord.x <= 1.0, shadowCoord.y >= 0.0, shadowCoord.y <= 1.0 );\n\t\tbool inFrustum = all( inFrustumVec );\n\t\tbvec2 frustumTestVec = bvec2( inFrustum, shadowCoord.z <= 1.0 );\n\t\tbool frustumTest = all( frustumTestVec );\n\t\tif ( frustumTest ) {\n\t\t#if defined( SHADOWMAP_TYPE_PCF )\n\t\t\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\n\t\t\tfloat dx0 = - texelSize.x * shadowRadius;\n\t\t\tfloat dy0 = - texelSize.y * shadowRadius;\n\t\t\tfloat dx1 = + texelSize.x * shadowRadius;\n\t\t\tfloat dy1 = + texelSize.y * shadowRadius;\n\t\t\tshadow = (\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\n\t\t\t\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\n\t\t\t) * ( 1.0 / 9.0 );\n\t\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\n\t\t\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\n\t\t\tfloat dx0 = - texelSize.x * shadowRadius;\n\t\t\tfloat dy0 = - texelSize.y * shadowRadius;\n\t\t\tfloat dx1 = + texelSize.x * shadowRadius;\n\t\t\tfloat dy1 = + texelSize.y * shadowRadius;\n\t\t\tshadow = (\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy, shadowCoord.z ) +\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\n\t\t\t\ttexture2DShadowLerp( shadowMap, shadowMapSize, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\n\t\t\t) * ( 1.0 / 9.0 );\n\t\t#else\n\t\t\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\n\t\t#endif\n\t\t}\n\t\treturn shadow;\n\t}\n\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\n\t\tvec3 absV = abs( v );\n\t\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\n\t\tabsV *= scaleToCube;\n\t\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\n\t\tvec2 planar = v.xy;\n\t\tfloat almostATexel = 1.5 * texelSizeY;\n\t\tfloat almostOne = 1.0 - almostATexel;\n\t\tif ( absV.z >= almostOne ) {\n\t\t\tif ( v.z > 0.0 )\n\t\t\t\tplanar.x = 4.0 - v.x;\n\t\t} else if ( absV.x >= almostOne ) {\n\t\t\tfloat signX = sign( v.x );\n\t\t\tplanar.x = v.z * signX + 2.0 * signX;\n\t\t} else if ( absV.y >= almostOne ) {\n\t\t\tfloat signY = sign( v.y );\n\t\t\tplanar.x = v.x + 2.0 * signY + 2.0;\n\t\t\tplanar.y = v.z * signY - 2.0;\n\t\t}\n\t\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\n\t}\n\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\n\t\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\n\t\tvec3 lightToPosition = shadowCoord.xyz;\n\t\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );\t\tdp += shadowBias;\n\t\tvec3 bd3D = normalize( lightToPosition );\n\t\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT )\n\t\t\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\n\t\t\treturn (\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\n\t\t\t\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\n\t\t\t) * ( 1.0 / 9.0 );\n\t\t#else\n\t\t\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\n\t\t#endif\n\t}\n#endif\n", +shadowmap_pars_vertex:"#ifdef USE_SHADOWMAP\n\t#if NUM_DIR_LIGHTS > 0\n\t\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHTS ];\n\t\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHTS ];\n\t#endif\n\t#if NUM_SPOT_LIGHTS > 0\n\t\tuniform mat4 spotShadowMatrix[ NUM_SPOT_LIGHTS ];\n\t\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHTS ];\n\t#endif\n\t#if NUM_POINT_LIGHTS > 0\n\t\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHTS ];\n\t\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHTS ];\n\t#endif\n#endif\n", +shadowmap_vertex:"#ifdef USE_SHADOWMAP\n\t#if NUM_DIR_LIGHTS > 0\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\n\t\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * worldPosition;\n\t}\n\t#endif\n\t#if NUM_SPOT_LIGHTS > 0\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\n\t\tvSpotShadowCoord[ i ] = spotShadowMatrix[ i ] * worldPosition;\n\t}\n\t#endif\n\t#if NUM_POINT_LIGHTS > 0\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\n\t\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * worldPosition;\n\t}\n\t#endif\n#endif\n", +shadowmask_pars_fragment:"float getShadowMask() {\n\tfloat shadow = 1.0;\n\t#ifdef USE_SHADOWMAP\n\t#if NUM_DIR_LIGHTS > 0\n\tDirectionalLight directionalLight;\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\n\t\tdirectionalLight = directionalLights[ i ];\n\t\tshadow *= bool( directionalLight.shadow ) ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\n\t}\n\t#endif\n\t#if NUM_SPOT_LIGHTS > 0\n\tSpotLight spotLight;\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\n\t\tspotLight = spotLights[ i ];\n\t\tshadow *= bool( spotLight.shadow ) ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\n\t}\n\t#endif\n\t#if NUM_POINT_LIGHTS > 0\n\tPointLight pointLight;\n\t#pragma unroll_loop\n\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\n\t\tpointLight = pointLights[ i ];\n\t\tshadow *= bool( pointLight.shadow ) ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\n\t}\n\t#endif\n\t#endif\n\treturn shadow;\n}\n", +skinbase_vertex:"#ifdef USE_SKINNING\n\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\n\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\n\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\n\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\n#endif",skinning_pars_vertex:"#ifdef USE_SKINNING\n\tuniform mat4 bindMatrix;\n\tuniform mat4 bindMatrixInverse;\n\t#ifdef BONE_TEXTURE\n\t\tuniform sampler2D boneTexture;\n\t\tuniform int boneTextureSize;\n\t\tmat4 getBoneMatrix( const in float i ) {\n\t\t\tfloat j = i * 4.0;\n\t\t\tfloat x = mod( j, float( boneTextureSize ) );\n\t\t\tfloat y = floor( j / float( boneTextureSize ) );\n\t\t\tfloat dx = 1.0 / float( boneTextureSize );\n\t\t\tfloat dy = 1.0 / float( boneTextureSize );\n\t\t\ty = dy * ( y + 0.5 );\n\t\t\tvec4 v1 = texture2D( boneTexture, vec2( dx * ( x + 0.5 ), y ) );\n\t\t\tvec4 v2 = texture2D( boneTexture, vec2( dx * ( x + 1.5 ), y ) );\n\t\t\tvec4 v3 = texture2D( boneTexture, vec2( dx * ( x + 2.5 ), y ) );\n\t\t\tvec4 v4 = texture2D( boneTexture, vec2( dx * ( x + 3.5 ), y ) );\n\t\t\tmat4 bone = mat4( v1, v2, v3, v4 );\n\t\t\treturn bone;\n\t\t}\n\t#else\n\t\tuniform mat4 boneMatrices[ MAX_BONES ];\n\t\tmat4 getBoneMatrix( const in float i ) {\n\t\t\tmat4 bone = boneMatrices[ int(i) ];\n\t\t\treturn bone;\n\t\t}\n\t#endif\n#endif\n", +skinning_vertex:"#ifdef USE_SKINNING\n\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\n\tvec4 skinned = vec4( 0.0 );\n\tskinned += boneMatX * skinVertex * skinWeight.x;\n\tskinned += boneMatY * skinVertex * skinWeight.y;\n\tskinned += boneMatZ * skinVertex * skinWeight.z;\n\tskinned += boneMatW * skinVertex * skinWeight.w;\n\ttransformed = ( bindMatrixInverse * skinned ).xyz;\n#endif\n",skinnormal_vertex:"#ifdef USE_SKINNING\n\tmat4 skinMatrix = mat4( 0.0 );\n\tskinMatrix += skinWeight.x * boneMatX;\n\tskinMatrix += skinWeight.y * boneMatY;\n\tskinMatrix += skinWeight.z * boneMatZ;\n\tskinMatrix += skinWeight.w * boneMatW;\n\tskinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;\n\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\n#endif\n", +specularmap_fragment:"float specularStrength;\n#ifdef USE_SPECULARMAP\n\tvec4 texelSpecular = texture2D( specularMap, vUv );\n\tspecularStrength = texelSpecular.r;\n#else\n\tspecularStrength = 1.0;\n#endif",specularmap_pars_fragment:"#ifdef USE_SPECULARMAP\n\tuniform sampler2D specularMap;\n#endif",tonemapping_fragment:"#if defined( TONE_MAPPING )\n gl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\n#endif\n",tonemapping_pars_fragment:"#ifndef saturate\n\t#define saturate(a) clamp( a, 0.0, 1.0 )\n#endif\nuniform float toneMappingExposure;\nuniform float toneMappingWhitePoint;\nvec3 LinearToneMapping( vec3 color ) {\n\treturn toneMappingExposure * color;\n}\nvec3 ReinhardToneMapping( vec3 color ) {\n\tcolor *= toneMappingExposure;\n\treturn saturate( color / ( vec3( 1.0 ) + color ) );\n}\n#define Uncharted2Helper( x ) max( ( ( x * ( 0.15 * x + 0.10 * 0.50 ) + 0.20 * 0.02 ) / ( x * ( 0.15 * x + 0.50 ) + 0.20 * 0.30 ) ) - 0.02 / 0.30, vec3( 0.0 ) )\nvec3 Uncharted2ToneMapping( vec3 color ) {\n\tcolor *= toneMappingExposure;\n\treturn saturate( Uncharted2Helper( color ) / Uncharted2Helper( vec3( toneMappingWhitePoint ) ) );\n}\nvec3 OptimizedCineonToneMapping( vec3 color ) {\n\tcolor *= toneMappingExposure;\n\tcolor = max( vec3( 0.0 ), color - 0.004 );\n\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\n}\n", +uv_pars_fragment:"#if defined( USE_MAP ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( USE_SPECULARMAP ) || defined( USE_ALPHAMAP ) || defined( USE_EMISSIVEMAP ) || defined( USE_ROUGHNESSMAP ) || defined( USE_METALNESSMAP )\n\tvarying vec2 vUv;\n#endif",uv_pars_vertex:"#if defined( USE_MAP ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( USE_SPECULARMAP ) || defined( USE_ALPHAMAP ) || defined( USE_EMISSIVEMAP ) || defined( USE_ROUGHNESSMAP ) || defined( USE_METALNESSMAP )\n\tvarying vec2 vUv;\n\tuniform mat3 uvTransform;\n#endif\n", +uv_vertex:"#if defined( USE_MAP ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( USE_SPECULARMAP ) || defined( USE_ALPHAMAP ) || defined( USE_EMISSIVEMAP ) || defined( USE_ROUGHNESSMAP ) || defined( USE_METALNESSMAP )\n\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\n#endif",uv2_pars_fragment:"#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\n\tvarying vec2 vUv2;\n#endif",uv2_pars_vertex:"#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\n\tattribute vec2 uv2;\n\tvarying vec2 vUv2;\n#endif", +uv2_vertex:"#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\n\tvUv2 = uv2;\n#endif",worldpos_vertex:"#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP )\n\tvec4 worldPosition = modelMatrix * vec4( transformed, 1.0 );\n#endif\n",background_frag:"uniform sampler2D t2D;\nvarying vec2 vUv;\nvoid main() {\n\tgl_FragColor = texture2D( t2D, vUv );\n}\n",background_vert:"varying vec2 vUv;\nuniform mat3 uvTransform;\nvoid main() {\n\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\n\tgl_Position = vec4( position, 1.0 );\n\tgl_Position.z = 1.0;\n}\n", +cube_frag:"uniform samplerCube tCube;\nuniform float tFlip;\nuniform float opacity;\nvarying vec3 vWorldDirection;\nvoid main() {\n\tgl_FragColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) );\n\tgl_FragColor.a *= opacity;\n}\n",cube_vert:"varying vec3 vWorldDirection;\n#include \nvoid main() {\n\tvWorldDirection = transformDirection( position, modelMatrix );\n\t#include \n\t#include \n\tgl_Position.z = gl_Position.w;\n}\n",depth_frag:"#if DEPTH_PACKING == 3200\n\tuniform float opacity;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( 1.0 );\n\t#if DEPTH_PACKING == 3200\n\t\tdiffuseColor.a = opacity;\n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#if DEPTH_PACKING == 3200\n\t\tgl_FragColor = vec4( vec3( 1.0 - gl_FragCoord.z ), opacity );\n\t#elif DEPTH_PACKING == 3201\n\t\tgl_FragColor = packDepthToRGBA( gl_FragCoord.z );\n\t#endif\n}\n", +depth_vert:"#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#ifdef USE_DISPLACEMENTMAP\n\t\t#include \n\t\t#include \n\t\t#include \n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +distanceRGBA_frag:"#define DISTANCE\nuniform vec3 referencePosition;\nuniform float nearDistance;\nuniform float farDistance;\nvarying vec3 vWorldPosition;\n#include \n#include \n#include \n#include \n#include \n#include \nvoid main () {\n\t#include \n\tvec4 diffuseColor = vec4( 1.0 );\n\t#include \n\t#include \n\t#include \n\tfloat dist = length( vWorldPosition - referencePosition );\n\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\n\tdist = saturate( dist );\n\tgl_FragColor = packDepthToRGBA( dist );\n}\n", +distanceRGBA_vert:"#define DISTANCE\nvarying vec3 vWorldPosition;\n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#ifdef USE_DISPLACEMENTMAP\n\t\t#include \n\t\t#include \n\t\t#include \n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvWorldPosition = worldPosition.xyz;\n}\n", +equirect_frag:"uniform sampler2D tEquirect;\nvarying vec3 vWorldDirection;\n#include \nvoid main() {\n\tvec3 direction = normalize( vWorldDirection );\n\tvec2 sampleUV;\n\tsampleUV.y = asin( clamp( direction.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\n\tsampleUV.x = atan( direction.z, direction.x ) * RECIPROCAL_PI2 + 0.5;\n\tgl_FragColor = texture2D( tEquirect, sampleUV );\n}\n",equirect_vert:"varying vec3 vWorldDirection;\n#include \nvoid main() {\n\tvWorldDirection = transformDirection( position, modelMatrix );\n\t#include \n\t#include \n}\n", +linedashed_frag:"uniform vec3 diffuse;\nuniform float opacity;\nuniform float dashSize;\nuniform float totalSize;\nvarying float vLineDistance;\n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\n\t\tdiscard;\n\t}\n\tvec3 outgoingLight = vec3( 0.0 );\n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\t#include \n\t#include \n\toutgoingLight = diffuseColor.rgb;\n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +linedashed_vert:"uniform float scale;\nattribute float lineDistance;\nvarying float vLineDistance;\n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvLineDistance = scale * lineDistance;\n\tvec4 mvPosition = modelViewMatrix * vec4( position, 1.0 );\n\tgl_Position = projectionMatrix * mvPosition;\n\t#include \n\t#include \n\t#include \n}\n", +meshbasic_frag:"uniform vec3 diffuse;\nuniform float opacity;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\n\t#ifdef USE_LIGHTMAP\n\t\treflectedLight.indirectDiffuse += texture2D( lightMap, vUv2 ).xyz * lightMapIntensity;\n\t#else\n\t\treflectedLight.indirectDiffuse += vec3( 1.0 );\n\t#endif\n\t#include \n\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\n\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\n\t#include \n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +meshbasic_vert:"#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#ifdef USE_ENVMAP\n\t#include \n\t#include \n\t#include \n\t#include \n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +meshlambert_frag:"uniform vec3 diffuse;\nuniform vec3 emissive;\nuniform float opacity;\nvarying vec3 vLightFront;\n#ifdef DOUBLE_SIDED\n\tvarying vec3 vLightBack;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\n\tvec3 totalEmissiveRadiance = emissive;\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\treflectedLight.indirectDiffuse = getAmbientLightIrradiance( ambientLightColor );\n\t#include \n\treflectedLight.indirectDiffuse *= BRDF_Diffuse_Lambert( diffuseColor.rgb );\n\t#ifdef DOUBLE_SIDED\n\t\treflectedLight.directDiffuse = ( gl_FrontFacing ) ? vLightFront : vLightBack;\n\t#else\n\t\treflectedLight.directDiffuse = vLightFront;\n\t#endif\n\treflectedLight.directDiffuse *= BRDF_Diffuse_Lambert( diffuseColor.rgb ) * getShadowMask();\n\t#include \n\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\n\t#include \n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +meshlambert_vert:"#define LAMBERT\nvarying vec3 vLightFront;\n#ifdef DOUBLE_SIDED\n\tvarying vec3 vLightBack;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +meshmatcap_frag:"#define MATCAP\nuniform vec3 diffuse;\nuniform float opacity;\nuniform sampler2D matcap;\nvarying vec3 vViewPosition;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvec3 viewDir = normalize( vViewPosition );\n\tvec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );\n\tvec3 y = cross( viewDir, x );\n\tvec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;\n\tvec4 matcapColor = texture2D( matcap, uv );\n\tmatcapColor = matcapTexelToLinear( matcapColor );\n\tvec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;\n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +meshmatcap_vert:"#define MATCAP\nvarying vec3 vViewPosition;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#ifndef FLAT_SHADED\n\t\tvNormal = normalize( transformedNormal );\n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvViewPosition = - mvPosition.xyz;\n}\n", +meshphong_frag:"#define PHONG\nuniform vec3 diffuse;\nuniform vec3 emissive;\nuniform vec3 specular;\nuniform float shininess;\nuniform float opacity;\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\n\tvec3 totalEmissiveRadiance = emissive;\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\n\t#include \n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +meshphong_vert:"#define PHONG\nvarying vec3 vViewPosition;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n#ifndef FLAT_SHADED\n\tvNormal = normalize( transformedNormal );\n#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvViewPosition = - mvPosition.xyz;\n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +meshphysical_frag:"#define PHYSICAL\nuniform vec3 diffuse;\nuniform vec3 emissive;\nuniform float roughness;\nuniform float metalness;\nuniform float opacity;\n#ifndef STANDARD\n\tuniform float clearCoat;\n\tuniform float clearCoatRoughness;\n#endif\nvarying vec3 vViewPosition;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\n\tvec3 totalEmissiveRadiance = emissive;\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +meshphysical_vert:"#define PHYSICAL\nvarying vec3 vViewPosition;\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n#ifndef FLAT_SHADED\n\tvNormal = normalize( transformedNormal );\n#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\tvViewPosition = - mvPosition.xyz;\n\t#include \n\t#include \n\t#include \n}\n", +normal_frag:"#define NORMAL\nuniform float opacity;\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || ( defined( USE_NORMALMAP ) && ! defined( OBJECTSPACE_NORMALMAP ) )\n\tvarying vec3 vViewPosition;\n#endif\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\tgl_FragColor = vec4( packNormalToRGB( normal ), opacity );\n}\n", +normal_vert:"#define NORMAL\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || ( defined( USE_NORMALMAP ) && ! defined( OBJECTSPACE_NORMALMAP ) )\n\tvarying vec3 vViewPosition;\n#endif\n#ifndef FLAT_SHADED\n\tvarying vec3 vNormal;\n#endif\n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n#ifndef FLAT_SHADED\n\tvNormal = normalize( transformedNormal );\n#endif\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || ( defined( USE_NORMALMAP ) && ! defined( OBJECTSPACE_NORMALMAP ) )\n\tvViewPosition = - mvPosition.xyz;\n#endif\n}\n", +points_frag:"uniform vec3 diffuse;\nuniform float opacity;\n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec3 outgoingLight = vec3( 0.0 );\n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\t#include \n\t#include \n\t#include \n\t#include \n\toutgoingLight = diffuseColor.rgb;\n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +points_vert:"uniform float size;\nuniform float scale;\n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\tgl_PointSize = size;\n\t#ifdef USE_SIZEATTENUATION\n\t\tbool isPerspective = ( projectionMatrix[ 2 ][ 3 ] == - 1.0 );\n\t\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\n\t#endif\n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +shadow_frag:"uniform vec3 color;\nuniform float opacity;\n#include \n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\tgl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );\n\t#include \n}\n",shadow_vert:"#include \n#include \nvoid main() {\n\t#include \n\t#include \n\t#include \n\t#include \n\t#include \n}\n", +sprite_frag:"uniform vec3 diffuse;\nuniform float opacity;\n#include \n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec3 outgoingLight = vec3( 0.0 );\n\tvec4 diffuseColor = vec4( diffuse, opacity );\n\t#include \n\t#include \n\t#include \n\toutgoingLight = diffuseColor.rgb;\n\tgl_FragColor = vec4( outgoingLight, diffuseColor.a );\n\t#include \n\t#include \n\t#include \n}\n", +sprite_vert:"uniform float rotation;\nuniform vec2 center;\n#include \n#include \n#include \n#include \n#include \nvoid main() {\n\t#include \n\tvec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\n\tvec2 scale;\n\tscale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );\n\tscale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );\n\t#ifndef USE_SIZEATTENUATION\n\t\tbool isPerspective = ( projectionMatrix[ 2 ][ 3 ] == - 1.0 );\n\t\tif ( isPerspective ) scale *= - mvPosition.z;\n\t#endif\n\tvec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;\n\tvec2 rotatedPosition;\n\trotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;\n\trotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;\n\tmvPosition.xy += rotatedPosition;\n\tgl_Position = projectionMatrix * mvPosition;\n\t#include \n\t#include \n\t#include \n}\n"}, +va={merge:function(a){for(var b={},c=0;c>16&255)/255;this.g=(a>>8&255)/255;this.b=(a&255)/255;return this},setRGB:function(a,b,c){this.r=a;this.g=b;this.b=c;return this},setHSL:function(){function a(a,c,d){0>d&&(d+=1);1d?c:d<2/3?a+6*(c-a)*(2/3-d):a}return function(b, +c,d){b=R.euclideanModulo(b,1);c=R.clamp(c,0,1);d=R.clamp(d,0,1);0===c?this.r=this.g=this.b=d:(c=.5>=d?d*(1+c):d+c-d*c,d=2*d-c,this.r=a(d,c,b+1/3),this.g=a(d,c,b),this.b=a(d,c,b-1/3));return this}}(),setStyle:function(a){function b(b){void 0!==b&&1>parseFloat(b)&&console.warn("THREE.Color: Alpha component of "+a+" will be ignored.")}var c;if(c=/^((?:rgb|hsl)a?)\(\s*([^\)]*)\)/.exec(a)){var d=c[2];switch(c[1]){case "rgb":case "rgba":if(c=/^(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(,\s*([0-9]*\.?[0-9]+)\s*)?$/.exec(d))return this.r= +Math.min(255,parseInt(c[1],10))/255,this.g=Math.min(255,parseInt(c[2],10))/255,this.b=Math.min(255,parseInt(c[3],10))/255,b(c[5]),this;if(c=/^(\d+)%\s*,\s*(\d+)%\s*,\s*(\d+)%\s*(,\s*([0-9]*\.?[0-9]+)\s*)?$/.exec(d))return this.r=Math.min(100,parseInt(c[1],10))/100,this.g=Math.min(100,parseInt(c[2],10))/100,this.b=Math.min(100,parseInt(c[3],10))/100,b(c[5]),this;break;case "hsl":case "hsla":if(c=/^([0-9]*\.?[0-9]+)\s*,\s*(\d+)%\s*,\s*(\d+)%\s*(,\s*([0-9]*\.?[0-9]+)\s*)?$/.exec(d)){d=parseFloat(c[1])/ +360;var e=parseInt(c[2],10)/100,f=parseInt(c[3],10)/100;b(c[5]);return this.setHSL(d,e,f)}}}else if(c=/^#([A-Fa-f0-9]+)$/.exec(a)){c=c[1];d=c.length;if(3===d)return this.r=parseInt(c.charAt(0)+c.charAt(0),16)/255,this.g=parseInt(c.charAt(1)+c.charAt(1),16)/255,this.b=parseInt(c.charAt(2)+c.charAt(2),16)/255,this;if(6===d)return this.r=parseInt(c.charAt(0)+c.charAt(1),16)/255,this.g=parseInt(c.charAt(2)+c.charAt(3),16)/255,this.b=parseInt(c.charAt(4)+c.charAt(5),16)/255,this}a&&0a?.0773993808*a:Math.pow(.9478672986*a+.0521327014,2.4)}return function(b){this.r=a(b.r);this.g=a(b.g);this.b=a(b.b);return this}}(),copyLinearToSRGB:function(){function a(a){return.0031308>a?12.92*a:1.055*Math.pow(a,.41666)-.055}return function(b){this.r=a(b.r);this.g=a(b.g);this.b=a(b.b);return this}}(),convertSRGBToLinear:function(){this.copySRGBToLinear(this); +return this},convertLinearToSRGB:function(){this.copyLinearToSRGB(this);return this},getHex:function(){return 255*this.r<<16^255*this.g<<8^255*this.b<<0},getHexString:function(){return("000000"+this.getHex().toString(16)).slice(-6)},getHSL:function(a){void 0===a&&(console.warn("THREE.Color: .getHSL() target is now required"),a={h:0,s:0,l:0});var b=this.r,c=this.g,d=this.b,e=Math.max(b,c,d),f=Math.min(b,c,d),g,h=(f+e)/2;if(f===e)f=g=0;else{var k=e-f;f=.5>=h?k/(e+f):k/(2-e-f);switch(e){case b:g=(c- +d)/k+(cMath.abs(g)?(this._x=Math.atan2(-m,e),this._z=Math.atan2(-f,a)):(this._x=Math.atan2(n,k),this._z= +0)):"YXZ"===b?(this._x=Math.asin(-d(m,-1,1)),.99999>Math.abs(m)?(this._y=Math.atan2(g,e),this._z=Math.atan2(h,k)):(this._y=Math.atan2(-l,a),this._z=0)):"ZXY"===b?(this._x=Math.asin(d(n,-1,1)),.99999>Math.abs(n)?(this._y=Math.atan2(-l,e),this._z=Math.atan2(-f,k)):(this._y=0,this._z=Math.atan2(h,a))):"ZYX"===b?(this._y=Math.asin(-d(l,-1,1)),.99999>Math.abs(l)?(this._x=Math.atan2(n,e),this._z=Math.atan2(h,a)):(this._x=0,this._z=Math.atan2(-f,k))):"YZX"===b?(this._z=Math.asin(d(h,-1,1)),.99999>Math.abs(h)? +(this._x=Math.atan2(-m,k),this._y=Math.atan2(-l,a)):(this._x=0,this._y=Math.atan2(g,e))):"XZY"===b?(this._z=Math.asin(-d(f,-1,1)),.99999>Math.abs(f)?(this._x=Math.atan2(n,k),this._y=Math.atan2(g,a)):(this._x=Math.atan2(-m,e),this._y=0)):console.warn("THREE.Euler: .setFromRotationMatrix() given unsupported order: "+b);this._order=b;if(!1!==c)this.onChangeCallback();return this},setFromQuaternion:function(){var a=new P;return function(b,c,d){a.makeRotationFromQuaternion(b);return this.setFromRotationMatrix(a, +c,d)}}(),setFromVector3:function(a,b){return this.set(a.x,a.y,a.z,b||this._order)},reorder:function(){var a=new ja;return function(b){a.setFromEuler(this);return this.setFromQuaternion(a,b)}}(),equals:function(a){return a._x===this._x&&a._y===this._y&&a._z===this._z&&a._order===this._order},fromArray:function(a){this._x=a[0];this._y=a[1];this._z=a[2];void 0!==a[3]&&(this._order=a[3]);this.onChangeCallback();return this},toArray:function(a,b){void 0===a&&(a=[]);void 0===b&&(b=0);a[b]=this._x;a[b+1]= +this._y;a[b+2]=this._z;a[b+3]=this._order;return a},toVector3:function(a){return a?a.set(this._x,this._y,this._z):new p(this._x,this._y,this._z)},onChange:function(a){this.onChangeCallback=a;return this},onChangeCallback:function(){}});Object.assign(Yd.prototype,{set:function(a){this.mask=1<g;g++)if(d[g]===d[(g+1)%3]){a.push(f);break}for(f=a.length-1;0<=f;f--)for(d=a[f],this.faces.splice(d,1),c=0,e=this.faceVertexUvs.length;cthis.opacity&&(d.opacity=this.opacity);!0===this.transparent&&(d.transparent=this.transparent);d.depthFunc=this.depthFunc;d.depthTest=this.depthTest;d.depthWrite=this.depthWrite;0!==this.rotation&&(d.rotation=this.rotation);!0===this.polygonOffset&&(d.polygonOffset=!0);0!==this.polygonOffsetFactor&&(d.polygonOffsetFactor=this.polygonOffsetFactor);0!==this.polygonOffsetUnits&&(d.polygonOffsetUnits=this.polygonOffsetUnits); +1!==this.linewidth&&(d.linewidth=this.linewidth);void 0!==this.dashSize&&(d.dashSize=this.dashSize);void 0!==this.gapSize&&(d.gapSize=this.gapSize);void 0!==this.scale&&(d.scale=this.scale);!0===this.dithering&&(d.dithering=!0);0a?b.copy(this.origin):b.copy(this.direction).multiplyScalar(a).add(this.origin)}, +distanceToPoint:function(a){return Math.sqrt(this.distanceSqToPoint(a))},distanceSqToPoint:function(){var a=new p;return function(b){var c=a.subVectors(b,this.origin).dot(this.direction);if(0>c)return this.origin.distanceToSquared(b);a.copy(this.direction).multiplyScalar(c).add(this.origin);return a.distanceToSquared(b)}}(),distanceSqToSegment:function(){var a=new p,b=new p,c=new p;return function(d,e,f,g){a.copy(d).add(e).multiplyScalar(.5);b.copy(e).sub(d).normalize();c.copy(this.origin).sub(a); +var h=.5*d.distanceTo(e),k=-this.direction.dot(b),m=c.dot(this.direction),l=-c.dot(b),n=c.lengthSq(),r=Math.abs(1-k*k);if(0=-p?e<=p?(h=1/r,d*=h,e*=h,k=d*(d+k*e+2*m)+e*(k*d+e+2*l)+n):(e=h,d=Math.max(0,-(k*e+m)),k=-d*d+e*(e+2*l)+n):(e=-h,d=Math.max(0,-(k*e+m)),k=-d*d+e*(e+2*l)+n):e<=-p?(d=Math.max(0,-(-k*h+m)),e=0b)return null;b=Math.sqrt(b-e);e=d-b;d+=b;return 0>e&&0>d?null:0>e?this.at(d,c):this.at(e,c)}}(),intersectsSphere:function(a){return this.distanceSqToPoint(a.center)<= +a.radius*a.radius},distanceToPlane:function(a){var b=a.normal.dot(this.direction);if(0===b)return 0===a.distanceToPoint(this.origin)?0:null;a=-(this.origin.dot(a.normal)+a.constant)/b;return 0<=a?a:null},intersectPlane:function(a,b){a=this.distanceToPlane(a);return null===a?null:this.at(a,b)},intersectsPlane:function(a){var b=a.distanceToPoint(this.origin);return 0===b||0>a.normal.dot(this.direction)*b?!0:!1},intersectBox:function(a,b){var c=1/this.direction.x;var d=1/this.direction.y;var e=1/this.direction.z, +f=this.origin;if(0<=c){var g=(a.min.x-f.x)*c;c*=a.max.x-f.x}else g=(a.max.x-f.x)*c,c*=a.min.x-f.x;if(0<=d){var h=(a.min.y-f.y)*d;d*=a.max.y-f.y}else h=(a.max.y-f.y)*d,d*=a.min.y-f.y;if(g>d||h>c)return null;if(h>g||g!==g)g=h;if(da||h>c)return null;if(h>g||g!==g)g=h;if(ac?null:this.at(0<=g?g:c,b)},intersectsBox:function(){var a=new p;return function(b){return null!==this.intersectBox(b, +a)}}(),intersectTriangle:function(){var a=new p,b=new p,c=new p,d=new p;return function(e,f,g,h,k){b.subVectors(f,e);c.subVectors(g,e);d.crossVectors(b,c);f=this.direction.dot(d);if(0f)h=-1,f=-f;else return null;a.subVectors(this.origin,e);e=h*this.direction.dot(c.crossVectors(a,c));if(0>e)return null;g=h*this.direction.dot(b.cross(a));if(0>g||e+g>f)return null;e=-h*a.dot(d);return 0>e?null:this.at(e/f,k)}}(),applyMatrix4:function(a){this.origin.applyMatrix4(a); +this.direction.transformDirection(a);return this},equals:function(a){return a.origin.equals(this.origin)&&a.direction.equals(this.direction)}});Object.assign(ha,{getNormal:function(){var a=new p;return function(b,c,d,e){void 0===e&&(console.warn("THREE.Triangle: .getNormal() target is now required"),e=new p);e.subVectors(d,c);a.subVectors(b,c);e.cross(a);b=e.lengthSq();return 0=a.x+a.y}}(),getUV:function(){var a=new p;return function(b,c,d, +e,f,g,h,k){this.getBarycoord(b,c,d,e,a);k.set(0,0);k.addScaledVector(f,a.x);k.addScaledVector(g,a.y);k.addScaledVector(h,a.z);return k}}()});Object.assign(ha.prototype,{set:function(a,b,c){this.a.copy(a);this.b.copy(b);this.c.copy(c);return this},setFromPointsAndIndices:function(a,b,c,d){this.a.copy(a[b]);this.b.copy(a[c]);this.c.copy(a[d]);return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.a.copy(a.a);this.b.copy(a.b);this.c.copy(a.c);return this},getArea:function(){var a= +new p,b=new p;return function(){a.subVectors(this.c,this.b);b.subVectors(this.a,this.b);return.5*a.cross(b).length()}}(),getMidpoint:function(a){void 0===a&&(console.warn("THREE.Triangle: .getMidpoint() target is now required"),a=new p);return a.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)},getNormal:function(a){return ha.getNormal(this.a,this.b,this.c,a)},getPlane:function(a){void 0===a&&(console.warn("THREE.Triangle: .getPlane() target is now required"),a=new p);return a.setFromCoplanarPoints(this.a, +this.b,this.c)},getBarycoord:function(a,b){return ha.getBarycoord(a,this.a,this.b,this.c,b)},containsPoint:function(a){return ha.containsPoint(a,this.a,this.b,this.c)},getUV:function(a,b,c,d,e){return ha.getUV(a,this.a,this.b,this.c,b,c,d,e)},intersectsBox:function(a){return a.intersectsTriangle(this)},closestPointToPoint:function(){var a=new p,b=new p,c=new p,d=new p,e=new p,f=new p;return function(g,h){void 0===h&&(console.warn("THREE.Triangle: .closestPointToPoint() target is now required"),h= +new p);var k=this.a,m=this.b,l=this.c;a.subVectors(m,k);b.subVectors(l,k);d.subVectors(g,k);var n=a.dot(d),r=b.dot(d);if(0>=n&&0>=r)return h.copy(k);e.subVectors(g,m);var x=a.dot(e),t=b.dot(e);if(0<=x&&t<=x)return h.copy(m);var u=n*t-x*r;if(0>=u&&0<=n&&0>=x)return m=n/(n-x),h.copy(k).addScaledVector(a,m);f.subVectors(g,l);g=a.dot(f);var w=b.dot(f);if(0<=w&&g<=w)return h.copy(l);n=g*r-n*w;if(0>=n&&0<=r&&0>=w)return u=r/(r-w),h.copy(k).addScaledVector(b,u);r=x*w-g*t;if(0>=r&&0<=t-x&&0<=g-w)return c.subVectors(l, +m),u=(t-x)/(t-x+(g-w)),h.copy(m).addScaledVector(c,u);l=1/(r+n+u);m=n*l;u*=l;return h.copy(k).addScaledVector(a,m).addScaledVector(b,u)}}(),equals:function(a){return a.a.equals(this.a)&&a.b.equals(this.b)&&a.c.equals(this.c)}});Ea.prototype=Object.create(L.prototype);Ea.prototype.constructor=Ea;Ea.prototype.isMeshBasicMaterial=!0;Ea.prototype.copy=function(a){L.prototype.copy.call(this,a);this.color.copy(a.color);this.map=a.map;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap= +a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.specularMap=a.specularMap;this.alphaMap=a.alphaMap;this.envMap=a.envMap;this.combine=a.combine;this.reflectivity=a.reflectivity;this.refractionRatio=a.refractionRatio;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap=a.wireframeLinecap;this.wireframeLinejoin=a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;return this};pa.prototype=Object.assign(Object.create(D.prototype),{constructor:pa, +isMesh:!0,setDrawMode:function(a){this.drawMode=a},copy:function(a){D.prototype.copy.call(this,a);this.drawMode=a.drawMode;void 0!==a.morphTargetInfluences&&(this.morphTargetInfluences=a.morphTargetInfluences.slice());void 0!==a.morphTargetDictionary&&(this.morphTargetDictionary=Object.assign({},a.morphTargetDictionary));return this},updateMorphTargets:function(){var a=this.geometry;if(a.isBufferGeometry){a=a.morphAttributes;var b=Object.keys(a);if(0c.far?null:{distance:b,point:u.clone(),object:a}}function b(b,c,d,e,k,m,l,q,p){f.fromBufferAttribute(k,l);g.fromBufferAttribute(k,q);h.fromBufferAttribute(k,p);if(b=a(b,c,d,e,f,g,h,t))m&&(n.fromBufferAttribute(m,l),r.fromBufferAttribute(m,q),x.fromBufferAttribute(m,p),b.uv=ha.getUV(t,f,g,h,n,r,x,new z)),m=new Xa(l,q,p),ha.getNormal(f,g,h,m.normal),b.face=m;return b}var c=new P,d= +new rb,e=new Ga,f=new p,g=new p,h=new p,k=new p,m=new p,l=new p,n=new z,r=new z,x=new z,t=new p,u=new p;return function(q,p){var u=this.geometry,w=this.material,y=this.matrixWorld;if(void 0!==w&&(null===u.boundingSphere&&u.computeBoundingSphere(),e.copy(u.boundingSphere),e.applyMatrix4(y),!1!==q.ray.intersectsSphere(e)&&(c.getInverse(y),d.copy(q.ray).applyMatrix4(c),null===u.boundingBox||!1!==d.intersectsBox(u.boundingBox))))if(u.isBufferGeometry){var A=u.index,C=u.attributes.position,B=u.attributes.uv, +E=u.groups;u=u.drawRange;var D;if(null!==A)if(Array.isArray(w)){var F=0;for(D=E.length;Fe.far||f.push({distance:t,point:b.clone(),uv:ha.getUV(b, +h,k,m,l,n,r,new z),face:null,object:this})}}(),clone:function(){return(new this.constructor(this.material)).copy(this)},copy:function(a){D.prototype.copy.call(this,a);void 0!==a.center&&this.center.copy(a.center);return this}});Fc.prototype=Object.assign(Object.create(D.prototype),{constructor:Fc,copy:function(a){D.prototype.copy.call(this,a,!1);a=a.levels;for(var b=0,c=a.length;b=d[e].distance)d[e-1].object.visible=!1,d[e].object.visible=!0;else break;for(;ef||(l.applyMatrix4(this.matrixWorld),u=d.ray.origin.distanceTo(l),ud.far||e.push({distance:u,point:h.clone().applyMatrix4(this.matrixWorld),index:g,face:null,faceIndex:null,object:this}))}}else for(g=0,t=x.length/3-1;gf||(l.applyMatrix4(this.matrixWorld),u=d.ray.origin.distanceTo(l),ud.far||e.push({distance:u,point:h.clone().applyMatrix4(this.matrixWorld),index:g,face:null,faceIndex:null,object:this}))}else if(g.isGeometry)for(k=g.vertices,m=k.length,g=0;gf||(l.applyMatrix4(this.matrixWorld),u=d.ray.origin.distanceTo(l),ud.far||e.push({distance:u,point:h.clone().applyMatrix4(this.matrixWorld), +index:g,face:null,faceIndex:null,object:this}))}}}(),copy:function(a){D.prototype.copy.call(this,a);this.geometry.copy(a.geometry);this.material.copy(a.material);return this},clone:function(){return(new this.constructor).copy(this)}});S.prototype=Object.assign(Object.create(ma.prototype),{constructor:S,isLineSegments:!0,computeLineDistances:function(){var a=new p,b=new p;return function(){var c=this.geometry;if(c.isBufferGeometry)if(null===c.index){for(var d=c.attributes.position,e=[],f=0,g=d.count;f< +g;f+=2)a.fromBufferAttribute(d,f),b.fromBufferAttribute(d,f+1),e[f]=0===f?0:e[f-1],e[f+1]=e[f]+a.distanceTo(b);c.addAttribute("lineDistance",new C(e,1))}else console.warn("THREE.LineSegments.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.");else if(c.isGeometry)for(d=c.vertices,e=c.lineDistances,f=0,g=d.length;fd.far||e.push({distance:a,distanceToRay:Math.sqrt(f),point:n.clone(),index:c,face:null,object:g}))}var g=this,h=this.geometry,k=this.matrixWorld,m=d.params.Points.threshold;null===h.boundingSphere&&h.computeBoundingSphere();c.copy(h.boundingSphere);c.applyMatrix4(k);c.radius+=m;if(!1!==d.ray.intersectsSphere(c)){a.getInverse(k);b.copy(d.ray).applyMatrix4(a);m/=(this.scale.x+this.scale.y+ +this.scale.z)/3;var l=m*m;m=new p;var n=new p;if(h.isBufferGeometry){var r=h.index;h=h.attributes.position.array;if(null!==r){var x=r.array;r=0;for(var t=x.length;r=a.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}});Tb.prototype=Object.create(W.prototype);Tb.prototype.constructor=Tb;Tb.prototype.isCompressedTexture=!0;Hc.prototype=Object.create(W.prototype);Hc.prototype.constructor=Hc;Hc.prototype.isCanvasTexture=!0;Ic.prototype=Object.create(W.prototype);Ic.prototype.constructor=Ic;Ic.prototype.isDepthTexture=!0;Ub.prototype=Object.create(E.prototype);Ub.prototype.constructor=Ub;Jc.prototype=Object.create(I.prototype); +Jc.prototype.constructor=Jc;Vb.prototype=Object.create(E.prototype);Vb.prototype.constructor=Vb;Kc.prototype=Object.create(I.prototype);Kc.prototype.constructor=Kc;ya.prototype=Object.create(E.prototype);ya.prototype.constructor=ya;Lc.prototype=Object.create(I.prototype);Lc.prototype.constructor=Lc;Wb.prototype=Object.create(ya.prototype);Wb.prototype.constructor=Wb;Mc.prototype=Object.create(I.prototype);Mc.prototype.constructor=Mc;tb.prototype=Object.create(ya.prototype);tb.prototype.constructor= +tb;Nc.prototype=Object.create(I.prototype);Nc.prototype.constructor=Nc;Xb.prototype=Object.create(ya.prototype);Xb.prototype.constructor=Xb;Oc.prototype=Object.create(I.prototype);Oc.prototype.constructor=Oc;Yb.prototype=Object.create(ya.prototype);Yb.prototype.constructor=Yb;Pc.prototype=Object.create(I.prototype);Pc.prototype.constructor=Pc;Zb.prototype=Object.create(E.prototype);Zb.prototype.constructor=Zb;Qc.prototype=Object.create(I.prototype);Qc.prototype.constructor=Qc;$b.prototype=Object.create(E.prototype); +$b.prototype.constructor=$b;Rc.prototype=Object.create(I.prototype);Rc.prototype.constructor=Rc;ac.prototype=Object.create(E.prototype);ac.prototype.constructor=ac;var ah={triangulate:function(a,b,c){c=c||2;var d=b&&b.length,e=d?b[0]*c:a.length,f=jf(a,0,e,c,!0),g=[];if(!f)return g;var h;if(d){var k=c;d=[];var m;var l=0;for(m=b.length;l80*c){var p=h=a[0];var t=d=a[1];for(k=c;kh&&(h=l),b>d&&(d=b);h=Math.max(h-p,d-t);h=0!==h?1/h:0}Uc(f,g,c,p,t,h);return g}},Za={area:function(a){for(var b=a.length,c=0,d=b-1,e=0;eZa.area(a)},triangulateShape:function(a,b){var c=[],d=[],e=[];nf(a);of(c,a);var f=a.length;b.forEach(nf);for(a=0;aMath.abs(g-k)?[new z(a,1-c),new z(h,1-d),new z(m,1-e),new z(n,1-b)]:[new z(g,1-c),new z(k,1-d),new z(l,1-e),new z(r,1-b)]}};Wc.prototype=Object.create(I.prototype);Wc.prototype.constructor= +Wc;bc.prototype=Object.create(Sa.prototype);bc.prototype.constructor=bc;Xc.prototype=Object.create(I.prototype);Xc.prototype.constructor=Xc;wb.prototype=Object.create(E.prototype);wb.prototype.constructor=wb;Yc.prototype=Object.create(I.prototype);Yc.prototype.constructor=Yc;cc.prototype=Object.create(E.prototype);cc.prototype.constructor=cc;Zc.prototype=Object.create(I.prototype);Zc.prototype.constructor=Zc;dc.prototype=Object.create(E.prototype);dc.prototype.constructor=dc;xb.prototype=Object.create(I.prototype); +xb.prototype.constructor=xb;xb.prototype.toJSON=function(){var a=I.prototype.toJSON.call(this);return qf(this.parameters.shapes,a)};yb.prototype=Object.create(E.prototype);yb.prototype.constructor=yb;yb.prototype.toJSON=function(){var a=E.prototype.toJSON.call(this);return qf(this.parameters.shapes,a)};ec.prototype=Object.create(E.prototype);ec.prototype.constructor=ec;zb.prototype=Object.create(I.prototype);zb.prototype.constructor=zb;$a.prototype=Object.create(E.prototype);$a.prototype.constructor= +$a;$c.prototype=Object.create(zb.prototype);$c.prototype.constructor=$c;ad.prototype=Object.create($a.prototype);ad.prototype.constructor=ad;bd.prototype=Object.create(I.prototype);bd.prototype.constructor=bd;fc.prototype=Object.create(E.prototype);fc.prototype.constructor=fc;var Ba=Object.freeze({WireframeGeometry:Ub,ParametricGeometry:Jc,ParametricBufferGeometry:Vb,TetrahedronGeometry:Lc,TetrahedronBufferGeometry:Wb,OctahedronGeometry:Mc,OctahedronBufferGeometry:tb,IcosahedronGeometry:Nc,IcosahedronBufferGeometry:Xb, +DodecahedronGeometry:Oc,DodecahedronBufferGeometry:Yb,PolyhedronGeometry:Kc,PolyhedronBufferGeometry:ya,TubeGeometry:Pc,TubeBufferGeometry:Zb,TorusKnotGeometry:Qc,TorusKnotBufferGeometry:$b,TorusGeometry:Rc,TorusBufferGeometry:ac,TextGeometry:Wc,TextBufferGeometry:bc,SphereGeometry:Xc,SphereBufferGeometry:wb,RingGeometry:Yc,RingBufferGeometry:cc,PlaneGeometry:yc,PlaneBufferGeometry:qb,LatheGeometry:Zc,LatheBufferGeometry:dc,ShapeGeometry:xb,ShapeBufferGeometry:yb,ExtrudeGeometry:vb,ExtrudeBufferGeometry:Sa, +EdgesGeometry:ec,ConeGeometry:$c,ConeBufferGeometry:ad,CylinderGeometry:zb,CylinderBufferGeometry:$a,CircleGeometry:bd,CircleBufferGeometry:fc,BoxGeometry:Kb,BoxBufferGeometry:pb});Ab.prototype=Object.create(L.prototype);Ab.prototype.constructor=Ab;Ab.prototype.isShadowMaterial=!0;Ab.prototype.copy=function(a){L.prototype.copy.call(this,a);this.color.copy(a.color);return this};gc.prototype=Object.create(ka.prototype);gc.prototype.constructor=gc;gc.prototype.isRawShaderMaterial=!0;Ta.prototype=Object.create(L.prototype); +Ta.prototype.constructor=Ta;Ta.prototype.isMeshStandardMaterial=!0;Ta.prototype.copy=function(a){L.prototype.copy.call(this,a);this.defines={STANDARD:""};this.color.copy(a.color);this.roughness=a.roughness;this.metalness=a.metalness;this.map=a.map;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap=a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.emissive.copy(a.emissive);this.emissiveMap=a.emissiveMap;this.emissiveIntensity=a.emissiveIntensity;this.bumpMap=a.bumpMap;this.bumpScale= +a.bumpScale;this.normalMap=a.normalMap;this.normalMapType=a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.roughnessMap=a.roughnessMap;this.metalnessMap=a.metalnessMap;this.alphaMap=a.alphaMap;this.envMap=a.envMap;this.envMapIntensity=a.envMapIntensity;this.refractionRatio=a.refractionRatio;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap= +a.wireframeLinecap;this.wireframeLinejoin=a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};Bb.prototype=Object.create(Ta.prototype);Bb.prototype.constructor=Bb;Bb.prototype.isMeshPhysicalMaterial=!0;Bb.prototype.copy=function(a){Ta.prototype.copy.call(this,a);this.defines={PHYSICAL:""};this.reflectivity=a.reflectivity;this.clearCoat=a.clearCoat;this.clearCoatRoughness=a.clearCoatRoughness;return this};Ia.prototype=Object.create(L.prototype); +Ia.prototype.constructor=Ia;Ia.prototype.isMeshPhongMaterial=!0;Ia.prototype.copy=function(a){L.prototype.copy.call(this,a);this.color.copy(a.color);this.specular.copy(a.specular);this.shininess=a.shininess;this.map=a.map;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap=a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.emissive.copy(a.emissive);this.emissiveMap=a.emissiveMap;this.emissiveIntensity=a.emissiveIntensity;this.bumpMap=a.bumpMap;this.bumpScale=a.bumpScale; +this.normalMap=a.normalMap;this.normalMapType=a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.specularMap=a.specularMap;this.alphaMap=a.alphaMap;this.envMap=a.envMap;this.combine=a.combine;this.reflectivity=a.reflectivity;this.refractionRatio=a.refractionRatio;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap=a.wireframeLinecap; +this.wireframeLinejoin=a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};Cb.prototype=Object.create(Ia.prototype);Cb.prototype.constructor=Cb;Cb.prototype.isMeshToonMaterial=!0;Cb.prototype.copy=function(a){Ia.prototype.copy.call(this,a);this.gradientMap=a.gradientMap;return this};Db.prototype=Object.create(L.prototype);Db.prototype.constructor=Db;Db.prototype.isMeshNormalMaterial=!0;Db.prototype.copy=function(a){L.prototype.copy.call(this, +a);this.bumpMap=a.bumpMap;this.bumpScale=a.bumpScale;this.normalMap=a.normalMap;this.normalMapType=a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};Eb.prototype=Object.create(L.prototype);Eb.prototype.constructor= +Eb;Eb.prototype.isMeshLambertMaterial=!0;Eb.prototype.copy=function(a){L.prototype.copy.call(this,a);this.color.copy(a.color);this.map=a.map;this.lightMap=a.lightMap;this.lightMapIntensity=a.lightMapIntensity;this.aoMap=a.aoMap;this.aoMapIntensity=a.aoMapIntensity;this.emissive.copy(a.emissive);this.emissiveMap=a.emissiveMap;this.emissiveIntensity=a.emissiveIntensity;this.specularMap=a.specularMap;this.alphaMap=a.alphaMap;this.envMap=a.envMap;this.combine=a.combine;this.reflectivity=a.reflectivity; +this.refractionRatio=a.refractionRatio;this.wireframe=a.wireframe;this.wireframeLinewidth=a.wireframeLinewidth;this.wireframeLinecap=a.wireframeLinecap;this.wireframeLinejoin=a.wireframeLinejoin;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};Fb.prototype=Object.create(L.prototype);Fb.prototype.constructor=Fb;Fb.prototype.isMeshMatcapMaterial=!0;Fb.prototype.copy=function(a){L.prototype.copy.call(this,a);this.defines={MATCAP:""};this.color.copy(a.color); +this.matcap=a.matcap;this.map=a.map;this.bumpMap=a.bumpMap;this.bumpScale=a.bumpScale;this.normalMap=a.normalMap;this.normalMapType=a.normalMapType;this.normalScale.copy(a.normalScale);this.displacementMap=a.displacementMap;this.displacementScale=a.displacementScale;this.displacementBias=a.displacementBias;this.alphaMap=a.alphaMap;this.skinning=a.skinning;this.morphTargets=a.morphTargets;this.morphNormals=a.morphNormals;return this};Gb.prototype=Object.create(T.prototype);Gb.prototype.constructor= +Gb;Gb.prototype.isLineDashedMaterial=!0;Gb.prototype.copy=function(a){T.prototype.copy.call(this,a);this.scale=a.scale;this.dashSize=a.dashSize;this.gapSize=a.gapSize;return this};var bh=Object.freeze({ShadowMaterial:Ab,SpriteMaterial:hb,RawShaderMaterial:gc,ShaderMaterial:ka,PointsMaterial:Ha,MeshPhysicalMaterial:Bb,MeshStandardMaterial:Ta,MeshPhongMaterial:Ia,MeshToonMaterial:Cb,MeshNormalMaterial:Db,MeshLambertMaterial:Eb,MeshDepthMaterial:eb,MeshDistanceMaterial:fb,MeshBasicMaterial:Ea,MeshMatcapMaterial:Fb, +LineDashedMaterial:Gb,LineBasicMaterial:T,Material:L}),ra={arraySlice:function(a,b,c){return ra.isTypedArray(a)?new a.constructor(a.subarray(b,void 0!==c?c:a.length)):a.slice(b,c)},convertArray:function(a,b,c){return!a||!c&&a.constructor===b?a:"number"===typeof b.BYTES_PER_ELEMENT?new b(a):Array.prototype.slice.call(a)},isTypedArray:function(a){return ArrayBuffer.isView(a)&&!(a instanceof DataView)},getKeyframeOrder:function(a){for(var b=a.length,c=Array(b),d=0;d!==b;++d)c[d]=d;c.sort(function(b, +c){return a[b]-a[c]});return c},sortedArray:function(a,b,c){for(var d=a.length,e=new a.constructor(d),f=0,g=0;g!==d;++f)for(var h=c[f]*b,k=0;k!==b;++k)e[g++]=a[h+k];return e},flattenJSON:function(a,b,c,d){for(var e=1,f=a[0];void 0!==f&&void 0===f[d];)f=a[e++];if(void 0!==f){var g=f[d];if(void 0!==g)if(Array.isArray(g)){do g=f[d],void 0!==g&&(b.push(f.time),c.push.apply(c,g)),f=a[e++];while(void 0!==f)}else if(void 0!==g.toArray){do g=f[d],void 0!==g&&(b.push(f.time),g.toArray(c,c.length)),f=a[e++]; +while(void 0!==f)}else{do g=f[d],void 0!==g&&(b.push(f.time),c.push(g)),f=a[e++];while(void 0!==f)}}}};Object.assign(Ca.prototype,{evaluate:function(a){var b=this.parameterPositions,c=this._cachedIndex,d=b[c],e=b[c-1];a:{b:{c:{d:if(!(a=e)break a;else{f=b[1];a=e)break b}d=c;c=0}}for(;c>>1,ab;)--f;++f;if(0!==e||f!==d)e>=f&&(f=Math.max(f,1),e=f-1),a=this.getValueSize(),this.times=ra.arraySlice(c, +e,f),this.values=ra.arraySlice(this.values,e*a,f*a);return this},validate:function(){var a=!0,b=this.getValueSize();0!==b-Math.floor(b)&&(console.error("THREE.KeyframeTrack: Invalid value size in track.",this),a=!1);var c=this.times;b=this.values;var d=c.length;0===d&&(console.error("THREE.KeyframeTrack: Track is empty.",this),a=!1);for(var e=null,f=0;f!==d;f++){var g=c[f];if("number"===typeof g&&isNaN(g)){console.error("THREE.KeyframeTrack: Time is not a valid number.",this,f,g);a=!1;break}if(null!== +e&&e>g){console.error("THREE.KeyframeTrack: Out of order keys.",this,f,g,e);a=!1;break}e=g}if(void 0!==b&&ra.isTypedArray(b))for(f=0,c=b.length;f!==c;++f)if(d=b[f],isNaN(d)){console.error("THREE.KeyframeTrack: Value is not a valid number.",this,f,d);a=!1;break}return a},optimize:function(){for(var a=this.times,b=this.values,c=this.getValueSize(),d=2302===this.getInterpolation(),e=1,f=a.length-1,g=1;gg)e=a+1;else if(0b&&(b=0);1Number.EPSILON&&(g.normalize(),c=Math.acos(R.clamp(d[k-1].dot(d[k]),-1,1)),e[k].applyMatrix4(h.makeRotationAxis(g,c))),f[k].crossVectors(d[k],e[k]);if(!0===b)for(c=Math.acos(R.clamp(e[0].dot(e[a]),-1,1)),c/=a,0d;)d+=c;for(;d>c;)d-=c;de&&(e=1);1E-4>d&&(d=e);1E-4>k&&(k=e);Fe.initNonuniformCatmullRom(f.x,g.x,h.x,c.x,d,e,k);Ge.initNonuniformCatmullRom(f.y,g.y,h.y,c.y,d,e,k);He.initNonuniformCatmullRom(f.z,g.z,h.z,c.z,d,e,k)}else"catmullrom"===this.curveType&&(Fe.initCatmullRom(f.x,g.x,h.x,c.x,this.tension),Ge.initCatmullRom(f.y,g.y,h.y,c.y,this.tension),He.initCatmullRom(f.z,g.z,h.z,c.z,this.tension));b.set(Fe.calc(a), +Ge.calc(a),He.calc(a));return b};ua.prototype.copy=function(a){Q.prototype.copy.call(this,a);this.points=[];for(var b=0,c=a.points.length;bc.length-2?c.length-1:a+1];c=c[a>c.length-3?c.length-1:a+2];b.set(tf(d,e.x,f.x,g.x,c.x),tf(d,e.y,f.y,g.y,c.y));return b};Ma.prototype.copy=function(a){Q.prototype.copy.call(this,a);this.points=[];for(var b=0,c=a.points.length;b=b)return b=c[a]-b,a=this.curves[a],c=a.getLength(),a.getPointAt(0===c?0:1-b/c);a++}return null},getLength:function(){var a=this.getCurveLengths(); +return a[a.length-1]},updateArcLengths:function(){this.needsUpdate=!0;this.cacheLengths=null;this.getCurveLengths()},getCurveLengths:function(){if(this.cacheLengths&&this.cacheLengths.length===this.curves.length)return this.cacheLengths;for(var a=[],b=0,c=0,d=this.curves.length;cm.opacity&&(m.transparent=!0);d.setTextures(k);return d.parse(m)}}()});Object.assign(Qd.prototype, +{crossOrigin:"anonymous",load:function(a,b,c,d){var e=this,f=void 0===this.path?Vd.extractUrlBase(a):this.path,g=new Fa(this.manager);g.setPath(this.path);g.setWithCredentials(this.withCredentials);g.load(a,function(c){c=JSON.parse(c);var d=c.metadata;if(void 0!==d&&(d=d.type,void 0!==d&&"object"===d.toLowerCase())){console.error("THREE.JSONLoader: "+a+" should be loaded with THREE.ObjectLoader instead.");return}c=e.parse(c,f);b(c.geometry,c.materials)},c,d)},setPath:function(a){this.path=a;return this}, +setResourcePath:function(a){this.resourcePath=a;return this},setCrossOrigin:function(a){this.crossOrigin=a;return this},parse:function(){return function(a,b){void 0!==a.data&&(a=a.data);a.scale=void 0!==a.scale?1/a.scale:1;var c=new I,d=a,e,f,g,h=d.faces;var k=d.vertices;var m=d.normals,l=d.colors;var n=d.scale;var r=0;if(void 0!==d.uvs){for(e=0;ef;f++){var y=h[x++];var D=C[2*y];y=C[2*y+1];D=new z(D,y);2!==f&&c.faceVertexUvs[e][u].push(D);0!==f&&c.faceVertexUvs[e][u+1].push(D)}}w&& +(w=3*h[x++],t.normal.set(m[w++],m[w++],m[w]),v.normal.copy(t.normal));if(A)for(e=0;4>e;e++)w=3*h[x++],A=new p(m[w++],m[w++],m[w]),2!==e&&t.vertexNormals.push(A),0!==e&&v.vertexNormals.push(A);n&&(n=h[x++],n=l[n],t.color.setHex(n),v.color.setHex(n));if(k)for(e=0;4>e;e++)n=h[x++],n=l[n],2!==e&&t.vertexColors.push(new G(n)),0!==e&&v.vertexColors.push(new G(n));c.faces.push(t);c.faces.push(v)}else{t=new Xa;t.a=h[x++];t.b=h[x++];t.c=h[x++];u&&(u=h[x++],t.materialIndex=u);u=c.faces.length;if(e)for(e=0;e< +r;e++)for(C=d.uvs[e],c.faceVertexUvs[e][u]=[],f=0;3>f;f++)y=h[x++],D=C[2*y],y=C[2*y+1],D=new z(D,y),c.faceVertexUvs[e][u].push(D);w&&(w=3*h[x++],t.normal.set(m[w++],m[w++],m[w]));if(A)for(e=0;3>e;e++)w=3*h[x++],A=new p(m[w++],m[w++],m[w]),t.vertexNormals.push(A);n&&(n=h[x++],t.color.setHex(l[n]));if(k)for(e=0;3>e;e++)n=h[x++],t.vertexColors.push(new G(l[n]));c.faces.push(t)}}d=a;x=void 0!==d.influencesPerVertex?d.influencesPerVertex:2;if(d.skinWeights)for(g=0,h=d.skinWeights.length;gNumber.EPSILON){if(0>m&&(g=b[f],k=-k,h=b[e],m=-m),!(a.yh.y))if(a.y===g.y){if(a.x===g.x)return!0}else{e=m*(a.x-g.x)-k*(a.y-g.y);if(0===e)return!0;0>e||(d=!d)}}else if(a.y===g.y&&(h.x<=a.x&&a.x<=g.x||g.x<=a.x&&a.x<=h.x))return!0}return d}var e=Za.isClockWise,f=this.subPaths;if(0===f.length)return[]; +if(!0===b)return c(f);b=[];if(1===f.length){var g=f[0];var h=new ib;h.curves=g.curves;b.push(h);return b}var k=!e(f[0].getPoints());k=a?!k:k;h=[];var m=[],l=[],n=0;m[n]=void 0;l[n]=[];for(var p=0,x=f.length;pd&&this._mixBufferRegion(c,a,3*b,1-d,b);d=b;for(var f=b+b;d!==f;++d)if(c[d]!==c[d+b]){e.setValue(c,a);break}}, +saveOriginalState:function(){var a=this.buffer,b=this.valueSize,c=3*b;this.binding.getValue(a,c);for(var d=b;d!==c;++d)a[d]=a[c+d%b];this.cumulativeWeight=0},restoreOriginalState:function(){this.binding.setValue(this.buffer,3*this.valueSize)},_select:function(a,b,c,d,e){if(.5<=d)for(d=0;d!==e;++d)a[b+d]=a[c+d]},_slerp:function(a,b,c,d){ja.slerpFlat(a,b,a,b,a,c,d)},_lerp:function(a,b,c,d,e){for(var f=1-d,g=0;g!==e;++g){var h=b+g;a[h]=a[h]*f+a[c+g]*d}}});Object.assign(wf.prototype,{getValue:function(a, +b){this.bind();var c=this._bindings[this._targetGroup.nCachedObjects_];void 0!==c&&c.getValue(a,b)},setValue:function(a,b){for(var c=this._bindings,d=this._targetGroup.nCachedObjects_,e=c.length;d!==e;++d)c[d].setValue(a,b)},bind:function(){for(var a=this._bindings,b=this._targetGroup.nCachedObjects_,c=a.length;b!==c;++b)a[b].bind()},unbind:function(){for(var a=this._bindings,b=this._targetGroup.nCachedObjects_,c=a.length;b!==c;++b)a[b].unbind()}});Object.assign(oa,{Composite:wf,create:function(a, +b,c){return a&&a.isAnimationObjectGroup?new oa.Composite(a,b,c):new oa(a,b,c)},sanitizeNodeName:function(){var a=/[\[\]\.:\/]/g;return function(b){return b.replace(/\s/g,"_").replace(a,"")}}(),parseTrackName:function(){var a="[^"+"\\[\\]\\.:\\/".replace("\\.","")+"]",b=/((?:WC+[\/:])*)/.source.replace("WC","[^\\[\\]\\.:\\/]");a=/(WCOD+)?/.source.replace("WCOD",a);var c=/(?:\.(WC+)(?:\[(.+)\])?)?/.source.replace("WC","[^\\[\\]\\.:\\/]"),d=/\.(WC+)(?:\[(.+)\])?/.source.replace("WC","[^\\[\\]\\.:\\/]"), +e=new RegExp("^"+b+a+c+d+"$"),f=["material","materials","bones"];return function(a){var b=e.exec(a);if(!b)throw Error("PropertyBinding: Cannot parse trackName: "+a);b={nodeName:b[2],objectName:b[3],objectIndex:b[4],propertyName:b[5],propertyIndex:b[6]};var c=b.nodeName&&b.nodeName.lastIndexOf(".");if(void 0!==c&&-1!==c){var d=b.nodeName.substring(c+1);-1!==f.indexOf(d)&&(b.nodeName=b.nodeName.substring(0,c),b.objectName=d)}if(null===b.propertyName||0===b.propertyName.length)throw Error("PropertyBinding: can not parse propertyName from trackName: "+ +a);return b}}(),findNode:function(a,b){if(!b||""===b||"root"===b||"."===b||-1===b||b===a.name||b===a.uuid)return a;if(a.skeleton){var c=a.skeleton.getBoneByName(b);if(void 0!==c)return c}if(a.children){var d=function(a){for(var c=0;c=b){var p=b++,n=a[p];c[n.uuid]=l;a[l]=n;c[k]=p;a[p]=h;h=0;for(k=e;h!==k;++h){n=d[h];var r=n[l];n[l]=n[p];n[p]=r}}}this.nCachedObjects_=b},uncache:function(){for(var a=this._objects,b=a.length,c=this.nCachedObjects_,d=this._indicesByUUID,e=this._bindings,f=e.length,g=0,h=arguments.length;g!==h;++g){var k= +arguments[g].uuid,l=d[k];if(void 0!==l)if(delete d[k],lb||0===c)return;this._startTime=null;b*=c}b*=this._updateTimeScale(a);c=this._updateTime(b);a=this._updateWeight(a);if(0c.parameterPositions[1]&&(this.stopFading(),0===d&&(this.enabled=!1))}}return this._effectiveWeight=b},_updateTimeScale:function(a){var b=0;if(!this.paused){b=this.timeScale;var c=this._timeScaleInterpolant;if(null!==c){var d=c.evaluate(a)[0];b*=d;a>c.parameterPositions[1]&&(this.stopWarping(),0===b?this.paused=!0:this.timeScale=b)}}return this._effectiveTimeScale=b},_updateTime:function(a){var b=this.time+a,c=this._clip.duration,d=this.loop,e=this._loopCount,f=2202===d;if(0===a)return-1=== +e?b:f&&1===(e&1)?c-b:b;if(2200===d)a:{if(-1===e&&(this._loopCount=0,this._setEndings(!0,!0,!1)),b>=c)b=c;else if(0>b)b=0;else break a;this.clampWhenFinished?this.paused=!0:this.enabled=!1;this._mixer.dispatchEvent({type:"finished",action:this,direction:0>a?-1:1})}else{-1===e&&(0<=a?(e=0,this._setEndings(!0,0===this.repetitions,f)):this._setEndings(0===this.repetitions,!0,f));if(b>=c||0>b){d=Math.floor(b/c);b-=c*d;e+=Math.abs(d);var g=this.repetitions-e;0>=g?(this.clampWhenFinished?this.paused=!0: +this.enabled=!1,b=0a,this._setEndings(a,!a,f)):this._setEndings(!1,!1,f),this._loopCount=e,this._mixer.dispatchEvent({type:"loop",action:this,loopDelta:d}))}if(f&&1===(e&1))return this.time=b,c-b}return this.time=b},_setEndings:function(a,b,c){var d=this._interpolantSettings;c?(d.endingStart=2401,d.endingEnd=2401):(d.endingStart=a?this.zeroSlopeAtStart?2401:2400:2402,d.endingEnd=b?this.zeroSlopeAtEnd?2401: +2400:2402)},_scheduleFading:function(a,b,c){var d=this._mixer,e=d.time,f=this._weightInterpolant;null===f&&(this._weightInterpolant=f=d._lendControlInterpolant());d=f.parameterPositions;f=f.sampleValues;d[0]=e;f[0]=b;d[1]=e+a;f[1]=c;return this}});we.prototype=Object.assign(Object.create(ia.prototype),{constructor:we,_bindAction:function(a,b){var c=a._localRoot||this._root,d=a._clip.tracks,e=d.length,f=a._propertyBindings;a=a._interpolants;var g=c.uuid,h=this._bindingsByRootAndName,k=h[g];void 0=== +k&&(k={},h[g]=k);for(h=0;h!==e;++h){var l=d[h],p=l.name,n=k[p];if(void 0===n){n=f[h];if(void 0!==n){null===n._cacheIndex&&(++n.referenceCount,this._addInactiveBinding(n,g,p));continue}n=new ve(oa.create(c,p,b&&b._propertyBindings[h].binding.parsedPath),l.ValueTypeName,l.getValueSize());++n.referenceCount;this._addInactiveBinding(n,g,p)}f[h]=n;a[h].resultBuffer=n.buffer}},_activateAction:function(a){if(!this._isActiveAction(a)){if(null===a._cacheIndex){var b=(a._localRoot||this._root).uuid,c=a._clip.uuid, +d=this._actionsByClip[c];this._bindAction(a,d&&d.knownActions[0]);this._addInactiveAction(a,c,b)}b=a._propertyBindings;c=0;for(d=b.length;c!==d;++c){var e=b[c];0===e.useCount++&&(this._lendBinding(e),e.saveOriginalState())}this._lendAction(a)}},_deactivateAction:function(a){if(this._isActiveAction(a)){for(var b=a._propertyBindings,c=0,d=b.length;c!==d;++c){var e=b[c];0===--e.useCount&&(e.restoreOriginalState(),this._takeBackBinding(e))}this._takeBackAction(a)}},_initMemoryManager:function(){this._actions= +[];this._nActiveActions=0;this._actionsByClip={};this._bindings=[];this._nActiveBindings=0;this._bindingsByRootAndName={};this._controlInterpolants=[];this._nActiveControlInterpolants=0;var a=this;this.stats={actions:{get total(){return a._actions.length},get inUse(){return a._nActiveActions}},bindings:{get total(){return a._bindings.length},get inUse(){return a._nActiveBindings}},controlInterpolants:{get total(){return a._controlInterpolants.length},get inUse(){return a._nActiveControlInterpolants}}}}, +_isActiveAction:function(a){a=a._cacheIndex;return null!==a&&athis.max.x||a.ythis.max.y?!1:!0},containsBox:function(a){return this.min.x<=a.min.x&&a.max.x<=this.max.x&&this.min.y<=a.min.y&&a.max.y<=this.max.y},getParameter:function(a,b){void 0===b&&(console.warn("THREE.Box2: .getParameter() target is now required"),b=new z);return b.set((a.x-this.min.x)/(this.max.x-this.min.x),(a.y-this.min.y)/(this.max.y-this.min.y))},intersectsBox:function(a){return a.max.xthis.max.x||a.max.ythis.max.y?!1:!0}, +clampPoint:function(a,b){void 0===b&&(console.warn("THREE.Box2: .clampPoint() target is now required"),b=new z);return b.copy(a).clamp(this.min,this.max)},distanceToPoint:function(){var a=new z;return function(b){return a.copy(b).clamp(this.min,this.max).sub(b).length()}}(),intersect:function(a){this.min.max(a.min);this.max.min(a.max);return this},union:function(a){this.min.min(a.min);this.max.max(a.max);return this},translate:function(a){this.min.add(a);this.max.add(a);return this},equals:function(a){return a.min.equals(this.min)&& +a.max.equals(this.max)}});Object.assign(Ce.prototype,{set:function(a,b){this.start.copy(a);this.end.copy(b);return this},clone:function(){return(new this.constructor).copy(this)},copy:function(a){this.start.copy(a.start);this.end.copy(a.end);return this},getCenter:function(a){void 0===a&&(console.warn("THREE.Line3: .getCenter() target is now required"),a=new p);return a.addVectors(this.start,this.end).multiplyScalar(.5)},delta:function(a){void 0===a&&(console.warn("THREE.Line3: .delta() target is now required"), +a=new p);return a.subVectors(this.end,this.start)},distanceSq:function(){return this.start.distanceToSquared(this.end)},distance:function(){return this.start.distanceTo(this.end)},at:function(a,b){void 0===b&&(console.warn("THREE.Line3: .at() target is now required"),b=new p);return this.delta(b).multiplyScalar(a).add(this.start)},closestPointToPointParameter:function(){var a=new p,b=new p;return function(c,d){a.subVectors(c,this.start);b.subVectors(this.end,this.start);c=b.dot(b);c=b.dot(a)/c;d&& +(c=R.clamp(c,0,1));return c}}(),closestPointToPoint:function(a,b,c){a=this.closestPointToPointParameter(a,b);void 0===c&&(console.warn("THREE.Line3: .closestPointToPoint() target is now required"),c=new p);return this.delta(c).multiplyScalar(a).add(this.start)},applyMatrix4:function(a){this.start.applyMatrix4(a);this.end.applyMatrix4(a);return this},equals:function(a){return a.start.equals(this.start)&&a.end.equals(this.end)}});jd.prototype=Object.create(D.prototype);jd.prototype.constructor=jd;jd.prototype.isImmediateRenderObject= +!0;kd.prototype=Object.create(S.prototype);kd.prototype.constructor=kd;kd.prototype.update=function(){var a=new p,b=new p,c=new da;return function(){var d=["a","b","c"];this.object.updateMatrixWorld(!0);c.getNormalMatrix(this.object.matrixWorld);var e=this.object.matrixWorld,f=this.geometry.attributes.position,g=this.object.geometry;if(g&&g.isGeometry)for(var h=g.vertices,k=g.faces,l=g=0,p=k.length;lMath.abs(b)&& +(b=1E-8);this.scale.set(.5*this.size,.5*this.size,b);this.children[0].material.side=0>b?1:0;this.lookAt(this.plane.normal);D.prototype.updateMatrixWorld.call(this,a)};var Td,De;cb.prototype=Object.create(D.prototype);cb.prototype.constructor=cb;cb.prototype.setDirection=function(){var a=new p,b;return function(c){.99999c.y?this.quaternion.set(1,0,0,0):(a.set(c.z,0,-c.x).normalize(),b=Math.acos(c.y),this.quaternion.setFromAxisAngle(a,b))}}();cb.prototype.setLength= +function(a,b,c){void 0===b&&(b=.2*a);void 0===c&&(c=.2*b);this.line.scale.set(1,Math.max(0,a-b),1);this.line.updateMatrix();this.cone.scale.set(c,b,c);this.cone.position.y=a;this.cone.updateMatrix()};cb.prototype.setColor=function(a){this.line.material.color.copy(a);this.cone.material.color.copy(a)};cb.prototype.copy=function(a){D.prototype.copy.call(this,a,!1);this.line.copy(a.line);this.cone.copy(a.cone);return this};cb.prototype.clone=function(){return(new this.constructor).copy(this)};qd.prototype= +Object.create(S.prototype);qd.prototype.constructor=qd;Q.create=function(a,b){console.log("THREE.Curve.create() has been deprecated");a.prototype=Object.create(Q.prototype);a.prototype.constructor=a;a.prototype.getPoint=b;return a};Object.assign(ab.prototype,{createPointsGeometry:function(a){console.warn("THREE.CurvePath: .createPointsGeometry() has been removed. Use new THREE.Geometry().setFromPoints( points ) instead.");a=this.getPoints(a);return this.createGeometry(a)},createSpacedPointsGeometry:function(a){console.warn("THREE.CurvePath: .createSpacedPointsGeometry() has been removed. Use new THREE.Geometry().setFromPoints( points ) instead."); +a=this.getSpacedPoints(a);return this.createGeometry(a)},createGeometry:function(a){console.warn("THREE.CurvePath: .createGeometry() has been removed. Use new THREE.Geometry().setFromPoints( points ) instead.");for(var b=new I,c=0,d=a.length;c Date: Sat, 1 Dec 2018 19:55:31 +0100 Subject: meshline on face --- site/assets/js/vendor/three.meshline.js | 486 ++++++++++++++++++++++++++++++++ site/assets/test/face.html | 246 +++++++++++----- 2 files changed, 669 insertions(+), 63 deletions(-) create mode 100644 site/assets/js/vendor/three.meshline.js (limited to 'site/assets/js') diff --git a/site/assets/js/vendor/three.meshline.js b/site/assets/js/vendor/three.meshline.js new file mode 100644 index 00000000..c6e998e3 --- /dev/null +++ b/site/assets/js/vendor/three.meshline.js @@ -0,0 +1,486 @@ +;(function() { + +"use strict"; + +var root = this + +var has_require = typeof require !== 'undefined' + +var THREE = root.THREE || has_require && require('three') +if( !THREE ) + throw new Error( 'MeshLine requires three.js' ) + +function MeshLine() { + + this.positions = []; + + this.previous = []; + this.next = []; + this.side = []; + this.width = []; + this.indices_array = []; + this.uvs = []; + this.counters = []; + this.geometry = new THREE.BufferGeometry(); + + this.widthCallback = null; + +} + +MeshLine.prototype.setGeometry = function( g, c ) { + + this.widthCallback = c; + + this.positions = []; + this.counters = []; + + if( g instanceof THREE.Geometry ) { + for( var j = 0; j < g.vertices.length; j++ ) { + var v = g.vertices[ j ]; + var c = j/g.vertices.length; + this.positions.push( v.x, v.y, v.z ); + this.positions.push( v.x, v.y, v.z ); + this.counters.push(c); + this.counters.push(c); + } + } + + if( g instanceof THREE.BufferGeometry ) { + // read attribute positions ? + } + + if( g instanceof Float32Array || g instanceof Array ) { + for( var j = 0; j < g.length; j += 3 ) { + var c = j/g.length; + this.positions.push( g[ j ], g[ j + 1 ], g[ j + 2 ] ); + this.positions.push( g[ j ], g[ j + 1 ], g[ j + 2 ] ); + this.counters.push(c); + this.counters.push(c); + } + } + + this.process(); + +} + +MeshLine.prototype.compareV3 = function( a, b ) { + + var aa = a * 6; + var ab = b * 6; + return ( this.positions[ aa ] === this.positions[ ab ] ) && ( this.positions[ aa + 1 ] === this.positions[ ab + 1 ] ) && ( this.positions[ aa + 2 ] === this.positions[ ab + 2 ] ); + +} + +MeshLine.prototype.copyV3 = function( a ) { + + var aa = a * 6; + return [ this.positions[ aa ], this.positions[ aa + 1 ], this.positions[ aa + 2 ] ]; + +} + +MeshLine.prototype.process = function() { + + var l = this.positions.length / 6; + + this.previous = []; + this.next = []; + this.side = []; + this.width = []; + this.indices_array = []; + this.uvs = []; + + for( var j = 0; j < l; j++ ) { + this.side.push( 1 ); + this.side.push( -1 ); + } + + var w; + for( var j = 0; j < l; j++ ) { + if( this.widthCallback ) w = this.widthCallback( j / ( l -1 ) ); + else w = 1; + this.width.push( w ); + this.width.push( w ); + } + + for( var j = 0; j < l; j++ ) { + this.uvs.push( j / ( l - 1 ), 0 ); + this.uvs.push( j / ( l - 1 ), 1 ); + } + + var v; + + if( this.compareV3( 0, l - 1 ) ){ + v = this.copyV3( l - 2 ); + } else { + v = this.copyV3( 0 ); + } + this.previous.push( v[ 0 ], v[ 1 ], v[ 2 ] ); + this.previous.push( v[ 0 ], v[ 1 ], v[ 2 ] ); + for( var j = 0; j < l - 1; j++ ) { + v = this.copyV3( j ); + this.previous.push( v[ 0 ], v[ 1 ], v[ 2 ] ); + this.previous.push( v[ 0 ], v[ 1 ], v[ 2 ] ); + } + + for( var j = 1; j < l; j++ ) { + v = this.copyV3( j ); + this.next.push( v[ 0 ], v[ 1 ], v[ 2 ] ); + this.next.push( v[ 0 ], v[ 1 ], v[ 2 ] ); + } + + if( this.compareV3( l - 1, 0 ) ){ + v = this.copyV3( 1 ); + } else { + v = this.copyV3( l - 1 ); + } + this.next.push( v[ 0 ], v[ 1 ], v[ 2 ] ); + this.next.push( v[ 0 ], v[ 1 ], v[ 2 ] ); + + for( var j = 0; j < l - 1; j++ ) { + var n = j * 2; + this.indices_array.push( n, n + 1, n + 2 ); + this.indices_array.push( n + 2, n + 1, n + 3 ); + } + + if (!this.attributes) { + this.attributes = { + position: new THREE.BufferAttribute( new Float32Array( this.positions ), 3 ), + previous: new THREE.BufferAttribute( new Float32Array( this.previous ), 3 ), + next: new THREE.BufferAttribute( new Float32Array( this.next ), 3 ), + side: new THREE.BufferAttribute( new Float32Array( this.side ), 1 ), + width: new THREE.BufferAttribute( new Float32Array( this.width ), 1 ), + uv: new THREE.BufferAttribute( new Float32Array( this.uvs ), 2 ), + index: new THREE.BufferAttribute( new Uint16Array( this.indices_array ), 1 ), + counters: new THREE.BufferAttribute( new Float32Array( this.counters ), 1 ) + } + } else { + this.attributes.position.copyArray(new Float32Array(this.positions)); + this.attributes.position.needsUpdate = true; + this.attributes.previous.copyArray(new Float32Array(this.previous)); + this.attributes.previous.needsUpdate = true; + this.attributes.next.copyArray(new Float32Array(this.next)); + this.attributes.next.needsUpdate = true; + this.attributes.side.copyArray(new Float32Array(this.side)); + this.attributes.side.needsUpdate = true; + this.attributes.width.copyArray(new Float32Array(this.width)); + this.attributes.width.needsUpdate = true; + this.attributes.uv.copyArray(new Float32Array(this.uvs)); + this.attributes.uv.needsUpdate = true; + this.attributes.index.copyArray(new Uint16Array(this.indices_array)); + this.attributes.index.needsUpdate = true; + } + + this.geometry.addAttribute( 'position', this.attributes.position ); + this.geometry.addAttribute( 'previous', this.attributes.previous ); + this.geometry.addAttribute( 'next', this.attributes.next ); + this.geometry.addAttribute( 'side', this.attributes.side ); + this.geometry.addAttribute( 'width', this.attributes.width ); + this.geometry.addAttribute( 'uv', this.attributes.uv ); + this.geometry.addAttribute( 'counters', this.attributes.counters ); + + this.geometry.setIndex( this.attributes.index ); + +} + +function memcpy (src, srcOffset, dst, dstOffset, length) { + var i + + src = src.subarray || src.slice ? src : src.buffer + dst = dst.subarray || dst.slice ? dst : dst.buffer + + src = srcOffset ? src.subarray ? + src.subarray(srcOffset, length && srcOffset + length) : + src.slice(srcOffset, length && srcOffset + length) : src + + if (dst.set) { + dst.set(src, dstOffset) + } else { + for (i=0; i + face points
+
+ -- cgit v1.2.3-70-g09d2 From 966e27c7418d6e188ea4b1f651a5e6c67495b765 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 3 Dec 2018 17:19:51 +0100 Subject: base css --- scraper/builder.py | 5 +- site/assets/css/css.css | 172 +++++++++ site/assets/css/fonts.css | 35 ++ site/assets/fonts/Roboto_300.eot | Bin 0 -> 17481 bytes site/assets/fonts/Roboto_300.svg | 312 ++++++++++++++++ site/assets/fonts/Roboto_300.ttf | Bin 0 -> 35468 bytes site/assets/fonts/Roboto_300.woff | Bin 0 -> 19916 bytes site/assets/fonts/Roboto_300.woff2 | Bin 0 -> 15440 bytes site/assets/fonts/Roboto_400.eot | Bin 0 -> 17405 bytes site/assets/fonts/Roboto_400.svg | 308 ++++++++++++++++ site/assets/fonts/Roboto_400.ttf | Bin 0 -> 35408 bytes site/assets/fonts/Roboto_400.woff | Bin 0 -> 19824 bytes site/assets/fonts/Roboto_400.woff2 | Bin 0 -> 15344 bytes site/assets/fonts/Roboto_500.eot | Bin 0 -> 17596 bytes site/assets/fonts/Roboto_500.svg | 305 ++++++++++++++++ site/assets/fonts/Roboto_500.ttf | Bin 0 -> 35588 bytes site/assets/fonts/Roboto_500.woff | Bin 0 -> 20012 bytes site/assets/fonts/Roboto_500.woff2 | Bin 0 -> 15552 bytes site/assets/fonts/Roboto_700.eot | Bin 0 -> 17391 bytes site/assets/fonts/Roboto_700.svg | 309 ++++++++++++++++ site/assets/fonts/Roboto_700.ttf | Bin 0 -> 35236 bytes site/assets/fonts/Roboto_700.woff | Bin 0 -> 19888 bytes site/assets/fonts/Roboto_700.woff2 | Bin 0 -> 15436 bytes site/assets/fonts/Roboto_Mono_300.eot | Bin 0 -> 18064 bytes site/assets/fonts/Roboto_Mono_300.svg | 392 +++++++++++++++++++++ site/assets/fonts/Roboto_Mono_300.ttf | Bin 0 -> 32160 bytes site/assets/fonts/Roboto_Mono_300.woff | Bin 0 -> 19884 bytes site/assets/fonts/Roboto_Mono_300.woff2 | Bin 0 -> 16380 bytes site/assets/fonts/Roboto_Mono_400.eot | Bin 0 -> 17757 bytes site/assets/fonts/Roboto_Mono_400.svg | 390 ++++++++++++++++++++ site/assets/fonts/Roboto_Mono_400.ttf | Bin 0 -> 31052 bytes site/assets/fonts/Roboto_Mono_400.woff | Bin 0 -> 19576 bytes site/assets/fonts/Roboto_Mono_400.woff2 | Bin 0 -> 16028 bytes site/assets/fonts/Roboto_Mono_500.eot | Bin 0 -> 17909 bytes site/assets/fonts/Roboto_Mono_500.svg | 387 ++++++++++++++++++++ site/assets/fonts/Roboto_Mono_500.ttf | Bin 0 -> 31168 bytes site/assets/fonts/Roboto_Mono_500.woff | Bin 0 -> 19656 bytes site/assets/fonts/Roboto_Mono_500.woff2 | Bin 0 -> 16016 bytes site/assets/img/ajax-loader.gif | Bin 0 -> 1849 bytes site/assets/img/icon_camera.svg | 2 + site/assets/img/megapixels_logo.svg | 14 + site/assets/img/megapixels_logo_white.svg | 14 + site/assets/js/app/site.js | 22 ++ site/assets/js/face.js | 1 - site/content/about/index.txt | 2 +- site/content/blog/2018-12-01-intro/index.txt | 2 - site/public/about/index.html | 28 +- site/public/blog/2018-12-01-intro/index.html | 43 ++- .../blog/2018-12-02-second-blog-post/index.html | 40 ++- site/templates/blog.html | 22 ++ site/templates/layout.html | 26 +- 51 files changed, 2795 insertions(+), 36 deletions(-) create mode 100644 site/assets/css/css.css create mode 100644 site/assets/css/fonts.css create mode 100644 site/assets/fonts/Roboto_300.eot create mode 100644 site/assets/fonts/Roboto_300.svg create mode 100644 site/assets/fonts/Roboto_300.ttf create mode 100644 site/assets/fonts/Roboto_300.woff create mode 100644 site/assets/fonts/Roboto_300.woff2 create mode 100644 site/assets/fonts/Roboto_400.eot create mode 100644 site/assets/fonts/Roboto_400.svg create mode 100644 site/assets/fonts/Roboto_400.ttf create mode 100644 site/assets/fonts/Roboto_400.woff create mode 100644 site/assets/fonts/Roboto_400.woff2 create mode 100644 site/assets/fonts/Roboto_500.eot create mode 100644 site/assets/fonts/Roboto_500.svg create mode 100644 site/assets/fonts/Roboto_500.ttf create mode 100644 site/assets/fonts/Roboto_500.woff create mode 100644 site/assets/fonts/Roboto_500.woff2 create mode 100644 site/assets/fonts/Roboto_700.eot create mode 100644 site/assets/fonts/Roboto_700.svg create mode 100644 site/assets/fonts/Roboto_700.ttf create mode 100644 site/assets/fonts/Roboto_700.woff create mode 100644 site/assets/fonts/Roboto_700.woff2 create mode 100644 site/assets/fonts/Roboto_Mono_300.eot create mode 100644 site/assets/fonts/Roboto_Mono_300.svg create mode 100644 site/assets/fonts/Roboto_Mono_300.ttf create mode 100644 site/assets/fonts/Roboto_Mono_300.woff create mode 100644 site/assets/fonts/Roboto_Mono_300.woff2 create mode 100644 site/assets/fonts/Roboto_Mono_400.eot create mode 100644 site/assets/fonts/Roboto_Mono_400.svg create mode 100644 site/assets/fonts/Roboto_Mono_400.ttf create mode 100644 site/assets/fonts/Roboto_Mono_400.woff create mode 100644 site/assets/fonts/Roboto_Mono_400.woff2 create mode 100644 site/assets/fonts/Roboto_Mono_500.eot create mode 100644 site/assets/fonts/Roboto_Mono_500.svg create mode 100644 site/assets/fonts/Roboto_Mono_500.ttf create mode 100644 site/assets/fonts/Roboto_Mono_500.woff create mode 100644 site/assets/fonts/Roboto_Mono_500.woff2 create mode 100644 site/assets/img/ajax-loader.gif create mode 100644 site/assets/img/icon_camera.svg create mode 100644 site/assets/img/megapixels_logo.svg create mode 100644 site/assets/img/megapixels_logo_white.svg create mode 100644 site/assets/js/app/site.js delete mode 100644 site/assets/js/face.js create mode 100644 site/templates/blog.html (limited to 'site/assets/js') diff --git a/scraper/builder.py b/scraper/builder.py index 73d6bfb3..c55b6dff 100644 --- a/scraper/builder.py +++ b/scraper/builder.py @@ -49,7 +49,10 @@ def build_file(fn): groups.append(normal_section(current_group)) content = "".join(groups) - template = env.get_template("page.html") + if 'blog/' in fn: + template = env.get_template("blog.html") + else: + template = env.get_template("page.html") html = template.render(metadata=metadata, content=content) os.makedirs(output_path, exist_ok=True) diff --git a/site/assets/css/css.css b/site/assets/css/css.css new file mode 100644 index 00000000..d7db0e1f --- /dev/null +++ b/site/assets/css/css.css @@ -0,0 +1,172 @@ +* { box-sizing: border-box; } +html, body { + margin: 0; + padding: 0; + width: 100%; + min-height: 100%; + font-family: 'Roboto', sans-serif; + background: #191919; + color: #b8b8b8; +} + +/* header */ + +header { + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 70px; + background: #1e1e1e; + display: flex; + flex-direction: row; + align-items: center; + justify-content: space-between; + box-shadow: 0 0 4px rgba(0,0,0,0.3); +} +header .slogan { + display: flex; + flex-direction: row; + align-items: center; + padding-left: 56px; + text-decoration: none; +} +header .logo { + background-image: url(../img/megapixels_logo_white.svg); + background-size: cover; + background-repeat: no-repeat; + margin-top: 7px; + margin-right: 14px; + width: 49px; + height: 30px; +} +header .site_name { + font-weight: bold; + color: #fff; +} +header .sub { + color: #666; + font-size: 10pt; + margin-left: 4px; + margin-top: 2px; + transition: color 0.1s cubic-bezier(0,1,1,1); +} +.desktop header .slogan:hover .site_name { + color: #fff; +} +.desktop header .slogan:hover .sub { + color: #666; +} +header .links { + display: flex; + flex-direction: row; + font-family: 'Roboto Mono', monospace; +} +header .links a { + display: block; + color: #777; + text-decoration: none; + text-transform: uppercase; + margin-right: 32px; + transition: color 0.1s cubic-bezier(0,1,1,1), border-color 0.1s cubic-bezier(0,1,1,1); + border-bottom: 1px solid rgba(255,255,255,0); +} +header .links a.active { + color: #bbb; +} +.desktop header .links a:hover { + color: #fff; + border-bottom: 1px solid rgba(255,255,255,255); +} +.desktop header .links a.active:hover { + color: #fff; + border-bottom: 1px solid rgba(255,255,255,255); +} + +/* footer */ + +footer { + width: 100%; + background: #000; + display: flex; + flex-direction: row; + justify-content: space-between; + color: #888; + font-size: 9pt; + padding: 20px 75px 20px; +} +footer > div { + display: flex; + flex-direction: row; +} +footer a { + display: inline-block; + color: #888; + transition: color 0.2s cubic-bezier(0,1,1,1); + margin-right: 5px; +} +footer a:hover { + color: #ddd; +} + +/* headings */ + +h1 { + color: #ddd; + font-weight: 300; + font-size: 24pt; + margin: 75px 0 10px; + padding: 0; +} +h3 { + font-family: 'Roboto Mono', monospace; + font-weight: 400; + font-size: 10pt; + text-transform: uppercase; + color: #666; + margin: 0 0 10px 0; + padding: 0; +} + +/* content */ + +.content { + padding-top: 70px; + padding-bottom: 100px; + min-height: calc(100vh - 55px); + line-height: 1.5; +} +section { + width: 640px; + margin: 0 auto; +} +.content .first_paragraph { + font-weight: 300; + font-size: 18pt; + color: #ccc; +} +p { + margin: 0 0 20px 0; +} + +.meta { + display: flex; + flex-direction: row; + justify-content: flex-start; + align-items: flex-start; + font-size: 10pt; + margin-bottom: 20px; +} +.meta > div { + margin-right: 30px; +} +.meta .gray { + font-size: 9pt; + padding-bottom: 4px; +} +.gray { + font-family: 'Roboto Mono', monospace; + font-weight: 400; + text-transform: uppercase; + color: #666; +} diff --git a/site/assets/css/fonts.css b/site/assets/css/fonts.css new file mode 100644 index 00000000..2195c70b --- /dev/null +++ b/site/assets/css/fonts.css @@ -0,0 +1,35 @@ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 300; + src: url("../fonts/Roboto_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_300.woff") format("woff"), url("../fonts/Roboto_300.woff2") format("woff2"), url("../fonts/Roboto_300.svg#Roboto") format("svg"), url("../fonts/Roboto_300.ttf") format("truetype"); } + +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 400; + src: url("../fonts/Roboto_400.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_400.woff") format("woff"), url("../fonts/Roboto_400.woff2") format("woff2"), url("../fonts/Roboto_400.svg#Roboto") format("svg"), url("../fonts/Roboto_400.ttf") format("truetype"); } + +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 500; + src: url("../fonts/Roboto_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_500.woff") format("woff"), url("../fonts/Roboto_500.woff2") format("woff2"), url("../fonts/Roboto_500.svg#Roboto") format("svg"), url("../fonts/Roboto_500.ttf") format("truetype"); } + +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 300; + src: url("../fonts/Roboto_Mono_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_300.woff") format("woff"), url("../fonts/Roboto_Mono_300.woff2") format("woff2"), url("../fonts/Roboto_Mono_300.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_300.ttf") format("truetype"); } + +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 400; + src: url("../fonts/Roboto_Mono_400.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_400.woff") format("woff"), url("../fonts/Roboto_Mono_400.woff2") format("woff2"), url("../fonts/Roboto_Mono_400.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_400.ttf") format("truetype"); } + +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 500; + src: local("Roboto-Mono Medium"), local("RobotoMono-Medium"), url("../fonts/Roboto_Mono_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_500.woff") format("woff"), url("../fonts/Roboto_Mono_500.woff2") format("woff2"), url("../fonts/Roboto_Mono_500.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_500.ttf") format("truetype"); } diff --git a/site/assets/fonts/Roboto_300.eot b/site/assets/fonts/Roboto_300.eot new file mode 100644 index 00000000..17b7d5cd Binary files /dev/null and b/site/assets/fonts/Roboto_300.eot differ diff --git a/site/assets/fonts/Roboto_300.svg b/site/assets/fonts/Roboto_300.svg new file mode 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b/site/assets/fonts/Roboto_300.woff2 new file mode 100644 index 00000000..52c5845a Binary files /dev/null and b/site/assets/fonts/Roboto_300.woff2 differ diff --git a/site/assets/fonts/Roboto_400.eot b/site/assets/fonts/Roboto_400.eot new file mode 100644 index 00000000..a0780d6e Binary files /dev/null and b/site/assets/fonts/Roboto_400.eot differ diff --git a/site/assets/fonts/Roboto_400.svg b/site/assets/fonts/Roboto_400.svg new file mode 100644 index 00000000..627f5a36 --- /dev/null +++ b/site/assets/fonts/Roboto_400.svg @@ -0,0 +1,308 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/site/assets/fonts/Roboto_400.ttf b/site/assets/fonts/Roboto_400.ttf new file mode 100644 index 00000000..b91bf3f7 Binary files /dev/null and b/site/assets/fonts/Roboto_400.ttf differ diff --git a/site/assets/fonts/Roboto_400.woff b/site/assets/fonts/Roboto_400.woff new file mode 100644 index 00000000..92dfacc6 Binary files /dev/null and b/site/assets/fonts/Roboto_400.woff differ diff --git a/site/assets/fonts/Roboto_400.woff2 b/site/assets/fonts/Roboto_400.woff2 new file mode 100644 index 00000000..7e854e66 Binary files /dev/null and b/site/assets/fonts/Roboto_400.woff2 differ diff --git a/site/assets/fonts/Roboto_500.eot b/site/assets/fonts/Roboto_500.eot new file mode 100644 index 00000000..849f4a50 Binary files /dev/null and b/site/assets/fonts/Roboto_500.eot differ diff --git a/site/assets/fonts/Roboto_500.svg b/site/assets/fonts/Roboto_500.svg new file mode 100644 index 00000000..67eecf44 --- /dev/null +++ b/site/assets/fonts/Roboto_500.svg @@ -0,0 +1,305 @@ + + + + + + + + + + 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b/site/assets/fonts/Roboto_Mono_400.eot new file mode 100644 index 00000000..550df22a Binary files /dev/null and b/site/assets/fonts/Roboto_Mono_400.eot differ diff --git a/site/assets/fonts/Roboto_Mono_400.svg b/site/assets/fonts/Roboto_Mono_400.svg new file mode 100644 index 00000000..f384d9ce --- /dev/null +++ b/site/assets/fonts/Roboto_Mono_400.svg @@ -0,0 +1,390 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/site/assets/fonts/Roboto_Mono_400.ttf b/site/assets/fonts/Roboto_Mono_400.ttf new file mode 100644 index 00000000..27363d17 Binary files /dev/null and b/site/assets/fonts/Roboto_Mono_400.ttf differ diff --git a/site/assets/fonts/Roboto_Mono_400.woff b/site/assets/fonts/Roboto_Mono_400.woff new file mode 100644 index 00000000..0ea5db89 Binary files /dev/null and b/site/assets/fonts/Roboto_Mono_400.woff differ diff --git a/site/assets/fonts/Roboto_Mono_400.woff2 b/site/assets/fonts/Roboto_Mono_400.woff2 new file mode 100644 index 00000000..6163de7b Binary files /dev/null and b/site/assets/fonts/Roboto_Mono_400.woff2 differ diff --git a/site/assets/fonts/Roboto_Mono_500.eot b/site/assets/fonts/Roboto_Mono_500.eot new file mode 100644 index 00000000..fb603779 Binary files /dev/null and b/site/assets/fonts/Roboto_Mono_500.eot differ diff --git a/site/assets/fonts/Roboto_Mono_500.svg b/site/assets/fonts/Roboto_Mono_500.svg new file mode 100644 index 00000000..34c55b65 --- /dev/null +++ b/site/assets/fonts/Roboto_Mono_500.svg @@ -0,0 +1,387 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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new file mode 100644 index 00000000..dc21df18 Binary files /dev/null and b/site/assets/img/ajax-loader.gif differ diff --git a/site/assets/img/icon_camera.svg b/site/assets/img/icon_camera.svg new file mode 100644 index 00000000..b349072e --- /dev/null +++ b/site/assets/img/icon_camera.svg @@ -0,0 +1,2 @@ + + \ No newline at end of file diff --git a/site/assets/img/megapixels_logo.svg b/site/assets/img/megapixels_logo.svg new file mode 100644 index 00000000..a9b7eff2 --- /dev/null +++ b/site/assets/img/megapixels_logo.svg @@ -0,0 +1,14 @@ + + + + + + + + + + diff --git a/site/assets/img/megapixels_logo_white.svg b/site/assets/img/megapixels_logo_white.svg new file mode 100644 index 00000000..061e30ab --- /dev/null +++ b/site/assets/img/megapixels_logo_white.svg @@ -0,0 +1,14 @@ + + + + + + + + + + diff --git a/site/assets/js/app/site.js b/site/assets/js/app/site.js new file mode 100644 index 00000000..04c0c495 --- /dev/null +++ b/site/assets/js/app/site.js @@ -0,0 +1,22 @@ +const isiPhone = !!((navigator.userAgent.match(/iPhone/i)) || (navigator.userAgent.match(/iPod/i))) +const isiPad = !!(navigator.userAgent.match(/iPad/i)) +const isAndroid = !!(navigator.userAgent.match(/Android/i)) +const isMobile = isiPhone || isiPad || isAndroid +const isDesktop = !isMobile + +const htmlClassList = document.body.parentNode.classList +htmlClassList.add(isDesktop ? 'desktop' : 'mobile') + +var site = (function(){ + var site = {} + site.init = function(){ + site.build() + } + site.build = function(){ + const paras = document.querySelectorAll("section p") + if (paras.length) { + paras[0].classList.add('first_paragraph') + } + } + site.init() +})() \ No newline at end of file diff --git a/site/assets/js/face.js b/site/assets/js/face.js deleted file mode 100644 index 1485f3a3..00000000 --- a/site/assets/js/face.js +++ /dev/null @@ -1 +0,0 @@ -face.js \ No newline at end of file diff --git a/site/content/about/index.txt b/site/content/about/index.txt index 85576e7d..36719d7c 100644 --- a/site/content/about/index.txt +++ b/site/content/about/index.txt @@ -2,7 +2,7 @@ Title: About # About -## The darkside of datasets +### The darkside of datasets MegaPixels is a project about the darkside of datasets. It's an exploration of what happens when you post photos online, and how they are used. diff --git a/site/content/blog/2018-12-01-intro/index.txt b/site/content/blog/2018-12-01-intro/index.txt index e3dff38f..f56a99f3 100644 --- a/site/content/blog/2018-12-01-intro/index.txt +++ b/site/content/blog/2018-12-01-intro/index.txt @@ -2,8 +2,6 @@ Title: Welcome to the blog! Author: Adam Harvey Date: 2018-12-01 -Welcome to the blog! - Lorem ipsum dolor sit amet is more than just dummy test. It is a way of experiencing the world, an exciting clue to the mystery of being. A key to pondering its weighty thesis - that no one desires pain, but might undergo something painful for greater benefit - has been a key to understanding the nature of humanity since Cicero spoke those words thousands of years ago. And the world keeps on spinning like a top, folks, and we all keep going round on this crazy adventure called life. Let me tell you a secret - privacy is contagious! Don't believe me? Get up and look away from the computer right now. Do it! Walk outside! Are you still reading this? No, seriously go outside, and await further instructions! diff --git a/site/public/about/index.html b/site/public/about/index.html index e0fe8a20..49fa726c 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -1,16 +1,19 @@ - Megapixels + MegaPixels + + +
-

- - Megapixels + + +
MegaPixels
The Darkside of Datasets -

+
Face Search Datasets @@ -21,7 +24,7 @@

About

-

The darkside of datasets

+

The darkside of datasets

MegaPixels is a project about the darkside of datasets. It's an exploration of what happens when you post photos online, and how they are used.

In an era of exuberant data collection and analysis, social media has become the superfood of Artificial Intelligence. But what about the creators and individuals behind the data? What about their stories?

During the last 20 yers etc

@@ -29,8 +32,17 @@
+ \ No newline at end of file diff --git a/site/public/blog/2018-12-01-intro/index.html b/site/public/blog/2018-12-01-intro/index.html index 48116b1e..c92ea2fd 100644 --- a/site/public/blog/2018-12-01-intro/index.html +++ b/site/public/blog/2018-12-01-intro/index.html @@ -1,16 +1,19 @@ - Megapixels + MegaPixels + + +
-

- - Megapixels + + +
MegaPixels
The Darkside of Datasets -

+
Face Search Datasets @@ -20,8 +23,21 @@
-

Welcome to the blog!

-

Lorem ipsum dolor sit amet is more than just dummy test. It is a way of experiencing the world, an exciting clue to the mystery of being. A key to pondering its weighty thesis - that no one desires pain, but might undergo something painful for greater benefit - has been a key to understanding the nature of humanity since Cicero spoke those words thousands of years ago. And the world keeps on spinning like a top, folks, and we all keep going round on this crazy adventure called life.

+
+

Welcome to the blog!

+
+
+
Posted
+
2018-12-01
+
+
+
By
+
Adam Harvey
+
+ +
+
+

Lorem ipsum dolor sit amet is more than just dummy test. It is a way of experiencing the world, an exciting clue to the mystery of being. A key to pondering its weighty thesis - that no one desires pain, but might undergo something painful for greater benefit - has been a key to understanding the nature of humanity since Cicero spoke those words thousands of years ago. And the world keeps on spinning like a top, folks, and we all keep going round on this crazy adventure called life.

Let me tell you a secret - privacy is contagious! Don't believe me? Get up and look away from the computer right now. Do it! Walk outside! Are you still reading this? No, seriously go outside, and await further instructions!

Are they gone? Let's wait another minute until we can be sure the reader is gone and it's just me here, writing for my own benefit. Whew, deep breath - not! These words really do exist in a vacuum. I literally have my eyes closed right now.

Dummy text? Generation 2.0 deserves better! We will not accept the flaccid filler text of yesteryear, no, we want it all, custom bespoke dummy text, hand-crafted with love and some good old fashioned ingenuity. Don't believe me? Get up right now from your chair and go outside. I'll wait. Ok. Are they gone? Good ok now that it's definitely just us, let me let you in on a little secret. Shh, promise not to tell?

@@ -30,8 +46,17 @@
+ \ No newline at end of file diff --git a/site/public/blog/2018-12-02-second-blog-post/index.html b/site/public/blog/2018-12-02-second-blog-post/index.html index 251b5d25..5852ebe7 100644 --- a/site/public/blog/2018-12-02-second-blog-post/index.html +++ b/site/public/blog/2018-12-02-second-blog-post/index.html @@ -1,16 +1,19 @@ - Megapixels + MegaPixels + + +
-

- - Megapixels + + +
MegaPixels
The Darkside of Datasets -

+
Face Search Datasets @@ -20,6 +23,20 @@
+
+

Second post!

+
+
+
Posted
+
2018-12-02
+
+
+
By
+
Adam Harvey
+
+ +
+

H1

H2

H3

@@ -81,8 +98,17 @@ This line is part of the same quote.

+ \ No newline at end of file diff --git a/site/templates/blog.html b/site/templates/blog.html new file mode 100644 index 00000000..b23b2f29 --- /dev/null +++ b/site/templates/blog.html @@ -0,0 +1,22 @@ +{% extends 'layout.html' %} + +{% block content %} +
+

{{ metadata.title }}

+
+
+
Posted
+
{{ metadata.date }}
+
+
+
By
+
{{ metadata.author }}
+
+ {% if metadata.datasets %}
+
Datasets
+
{{ metadata.datasets }}
+
{% endif %} +
+
+ {{ content }} +{% endblock %} diff --git a/site/templates/layout.html b/site/templates/layout.html index c38948ef..304e804f 100644 --- a/site/templates/layout.html +++ b/site/templates/layout.html @@ -1,16 +1,19 @@ - Megapixels + MegaPixels + + +
-

- - Megapixels + + +
MegaPixels
The Darkside of Datasets -

+
Face Search Datasets @@ -22,8 +25,17 @@ {% block content %}{% endblock %}
+ \ No newline at end of file -- cgit v1.2.3-70-g09d2 From 03ed12b471c1e50ae531c46fcbf5afd06ca5432b Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Wed, 5 Dec 2018 18:23:32 +0100 Subject: build --- builder/builder.py | 37 ++++-- builder/parser.py | 46 ++++++- builder/s3.py | 6 + site/assets/css/css.css | 65 +++++++--- site/assets/css/fonts.css | 18 ++- site/assets/js/app/site.js | 7 + site/public/about/credits/index.html | 8 +- site/public/about/disclaimer/index.html | 8 +- site/public/about/index.html | 11 +- site/public/about/press/index.html | 8 +- site/public/about/privacy/index.html | 9 +- site/public/about/style/index.html | 12 +- site/public/about/terms/index.html | 8 +- site/public/datasets/lfw/index.html | 20 +-- site/public/datasets/lfw/what/index.html | 141 +++++++++++++++++++++ site/public/datasets/vgg_faces2/index.html | 20 +-- site/public/index.html | 12 +- .../research/01_from_1_to_100_pixels/index.html | 15 +-- site/public/research/index.html | 50 ++++++++ site/templates/layout.html | 8 +- site/templates/research.html | 12 -- 21 files changed, 391 insertions(+), 130 deletions(-) create mode 100644 site/public/datasets/lfw/what/index.html create mode 100644 site/public/research/index.html (limited to 'site/assets/js') diff --git a/builder/builder.py b/builder/builder.py index deb9eb68..0e404b88 100644 --- a/builder/builder.py +++ b/builder/builder.py @@ -29,21 +29,25 @@ def build_page(fn, research_posts): output_path = public_path + metadata['url'] output_fn = os.path.join(output_path, "index.html") + is_research = False + if 'research/' in fn: + is_research = True template = env.get_template("research.html") else: template = env.get_template("page.html") - if 'datasets' in fn: - s3_path = "{}/{}/{}{}".format(os.getenv('S3_ENDPOINT'), os.getenv('S3_BUCKET'), s3_datasets_path, metadata['path']) - if 'index.md' in fn: - s3.sync_directory(dirname, s3_datasets_path, metadata) + if 'datasets/' in fn: + s3_dir = s3_datasets_path else: - s3_path = "{}/{}/{}{}".format(os.getenv('S3_ENDPOINT'), os.getenv('S3_BUCKET'), s3_site_path, metadata['path']) - if 'index.md' in fn and metadata['url'] != '/': - s3.sync_directory(dirname, s3_site_path, metadata) + s3_dir = s3_site_path + + s3_path = s3.make_s3_path(s3_dir, metadata['path']) + + if 'index.md' in fn: + s3.sync_directory(dirname, s3_dir, metadata) - content = parser.parse_markdown(sections, s3_path) + content = parser.parse_markdown(sections, s3_path, skip_h1=is_research) html = template.render( metadata=metadata, @@ -58,10 +62,27 @@ def build_page(fn, research_posts): print("______") +def build_research_index(research_posts): + metadata, sections = parser.read_metadata('../site/content/research/index.md') + template = env.get_template("page.html") + s3_path = s3.make_s3_path(s3_site_path, metadata['path']) + content = parser.parse_markdown(sections, s3_path, skip_h1=False) + content += parser.parse_research_index(research_posts) + html = template.render( + metadata=metadata, + content=content, + research_posts=research_posts, + latest_research_post=research_posts[-1], + ) + output_fn = public_path + '/research/index.html' + with open(output_fn, "w") as file: + file.write(html) + def build_site(): research_posts = parser.read_research_post_index() for fn in glob.iglob(os.path.join(content_path, "**/*.md"), recursive=True): build_page(fn, research_posts) + build_research_index(research_posts) if __name__ == '__main__': build_site() diff --git a/builder/parser.py b/builder/parser.py index 529d21fa..da3044a0 100644 --- a/builder/parser.py +++ b/builder/parser.py @@ -2,6 +2,8 @@ import os import re import glob import mistune + +import s3 from paths import * renderer = mistune.Renderer(escape=False) @@ -12,7 +14,6 @@ def fix_images(lines, s3_path): block = "\n\n".join(lines) for line in block.split("\n"): if "![" in line: - print(line) line = line.replace('![', '') alt_text, tail = line.split('](', 1) url, tail = tail.split(')', 1) @@ -35,13 +36,26 @@ def format_section(lines, s3_path, type=''): return "
" + markdown(lines) + "
" return "" -def parse_markdown(sections, s3_path): +def format_metadata(section): + meta = [] + for line in section.split('\n'): + key, value = line[2:].split(': ', 1) + meta.append("
{}
{}
".format(key, value)) + return "
{}
".format(''.join(meta)) + +def parse_markdown(sections, s3_path, skip_h1=False): groups = [] current_group = [] + seen_metadata = False for section in sections: - if section.startswith('# '): + if skip_h1 and section.startswith('# '): continue - if '![wide:' in section: + elif section.startswith('+ ') and not seen_metadata: + groups.append(format_section(current_group, s3_path)) + groups.append(format_metadata(section)) + current_group = [] + seen_metadata = True + elif '![wide:' in section: groups.append(format_section(current_group, s3_path)) groups.append(format_section([section], s3_path, type='wide')) current_group = [] @@ -55,6 +69,23 @@ def parse_markdown(sections, s3_path): content = "".join(groups) return content +def parse_research_index(research_posts): + content = "
" + for post in research_posts: + s3_path = s3.make_s3_path(s3_site_path, post['path']) + if 'image' in post: + post_image = s3_path + post['image'] + else: + post_image = 'data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==' + row = "
Research post

{}

{}

".format( + post['path'], + post_image, + post['title'], + post['tagline']) + content += row + content += '
' + return content + def read_metadata(fn): with open(fn, "r") as file: data = file.read() @@ -74,6 +105,8 @@ default_metadata = { 'published': '2018-12-31', 'updated': '2018-12-31', 'authors': 'Adam Harvey', + 'sync': 'true', + 'tagline': '', } def parse_metadata_section(metadata, section): @@ -117,12 +150,15 @@ def parse_metadata(fn, sections): if metadata['status'] == 'published|draft|private': metadata['status'] = 'published' + + metadata['sync'] = metadata['sync'] != 'false' + metadata['author_html'] = '
'.join(metadata['authors'].split(',')) return metadata, valid_sections def read_research_post_index(): posts = [] - for fn in sorted(glob.glob(os.path.join(content_path, 'research/**/index.md'), recursive=True)): + for fn in sorted(glob.glob('../site/content/research/*/index.md')): metadata, valid_sections = read_metadata(fn) if metadata is None or metadata['status'] == 'private' or metadata['status'] == 'draft': continue diff --git a/builder/s3.py b/builder/s3.py index f3dcce48..41ecdf61 100644 --- a/builder/s3.py +++ b/builder/s3.py @@ -18,6 +18,9 @@ def sync_directory(base_fn, s3_path, metadata): for fn in glob.glob(os.path.join(base_fn, 'assets/*')): fns[os.path.basename(fn)] = True + if not metadata['sync']: + return + remote_path = s3_path + metadata['url'] directory = s3_client.list_objects(Bucket=os.getenv('S3_BUCKET'), Prefix=remote_path) @@ -53,3 +56,6 @@ def sync_directory(base_fn, s3_path, metadata): os.getenv('S3_BUCKET'), s3_fn, ExtraArgs={ 'ACL': 'public-read' }) + +def make_s3_path(s3_dir, metadata_path): + return "{}/{}/{}{}".format(os.getenv('S3_ENDPOINT'), os.getenv('S3_BUCKET'), s3_dir, metadata_path) diff --git a/site/assets/css/css.css b/site/assets/css/css.css index 1024ffcd..843809a8 100644 --- a/site/assets/css/css.css +++ b/site/assets/css/css.css @@ -164,16 +164,46 @@ p { .content a:hover { color: #fff; } + +/* top of post metadata */ + +.meta { + display: flex; + flex-direction: row; + justify-content: flex-start; + align-items: flex-start; + font-size: 10pt; + margin-bottom: 20px; +} +.meta > div { + margin-right: 30px; +} +.meta .gray { + font-size: 9pt; + padding-bottom: 4px; +} + +/* misc formatting */ + code { font-family: 'Roboto Mono', monospace; font-size: 9pt; padding: 2px 4px; background: rgba(255,255,255,0.1); } +pre { + margin: 0 0 40px 0; + border: 1px solid #666; + border-radius: 2px; +} pre code { display: block; max-height: 400px; max-width: 640px; + padding: 4px 10px; +} +table { + margin-bottom: 40px; } hr { height: 1px; @@ -181,6 +211,14 @@ hr { border: 0; width: 80px; } +blockquote { + margin-left: 28px; + padding: 0 0 0 10px; + border-left: 2px solid #555; +} + +/* footnotes */ + .footnotes hr { display: none; } @@ -243,29 +281,14 @@ section.wide .image { max-width: 620px; margin: 10px auto 0 auto; } - -blockquote { - margin-left: 28px; - padding: 0 0 0 10px; - border-left: 2px solid #555; -} - -/* top of post metadata */ - -.meta { - display: flex; - flex-direction: row; - justify-content: flex-start; - align-items: flex-start; - font-size: 10pt; - margin-bottom: 20px; +.research_index { + margin-top: 40px; } -.meta > div { - margin-right: 30px; +.research_index a { + text-decoration: none; } -.meta .gray { - font-size: 9pt; - padding-bottom: 4px; +.research_index h1 { + margin-top: 20px; } /* blogpost index */ diff --git a/site/assets/css/fonts.css b/site/assets/css/fonts.css index 2195c70b..8db01fbd 100644 --- a/site/assets/css/fonts.css +++ b/site/assets/css/fonts.css @@ -2,34 +2,40 @@ font-family: 'Roboto'; font-style: normal; font-weight: 300; - src: url("../fonts/Roboto_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_300.woff") format("woff"), url("../fonts/Roboto_300.woff2") format("woff2"), url("../fonts/Roboto_300.svg#Roboto") format("svg"), url("../fonts/Roboto_300.ttf") format("truetype"); } + src: url("../fonts/Roboto_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_300.woff") format("woff"), url("../fonts/Roboto_300.woff2") format("woff2"), url("../fonts/Roboto_300.svg#Roboto") format("svg"), url("../fonts/Roboto_300.ttf") format("truetype"); +} @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 400; - src: url("../fonts/Roboto_400.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_400.woff") format("woff"), url("../fonts/Roboto_400.woff2") format("woff2"), url("../fonts/Roboto_400.svg#Roboto") format("svg"), url("../fonts/Roboto_400.ttf") format("truetype"); } + src: url("../fonts/Roboto_400.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_400.woff") format("woff"), url("../fonts/Roboto_400.woff2") format("woff2"), url("../fonts/Roboto_400.svg#Roboto") format("svg"), url("../fonts/Roboto_400.ttf") format("truetype"); +} @font-face { font-family: 'Roboto'; font-style: normal; font-weight: 500; - src: url("../fonts/Roboto_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_500.woff") format("woff"), url("../fonts/Roboto_500.woff2") format("woff2"), url("../fonts/Roboto_500.svg#Roboto") format("svg"), url("../fonts/Roboto_500.ttf") format("truetype"); } + src: url("../fonts/Roboto_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_500.woff") format("woff"), url("../fonts/Roboto_500.woff2") format("woff2"), url("../fonts/Roboto_500.svg#Roboto") format("svg"), url("../fonts/Roboto_500.ttf") format("truetype"); +} @font-face { font-family: 'Roboto Mono'; font-style: normal; font-weight: 300; - src: url("../fonts/Roboto_Mono_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_300.woff") format("woff"), url("../fonts/Roboto_Mono_300.woff2") format("woff2"), url("../fonts/Roboto_Mono_300.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_300.ttf") format("truetype"); } + src: url("../fonts/Roboto_Mono_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_300.woff") format("woff"), url("../fonts/Roboto_Mono_300.woff2") format("woff2"), url("../fonts/Roboto_Mono_300.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_300.ttf") format("truetype"); +} @font-face { font-family: 'Roboto Mono'; font-style: normal; font-weight: 400; - src: url("../fonts/Roboto_Mono_400.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_400.woff") format("woff"), url("../fonts/Roboto_Mono_400.woff2") format("woff2"), url("../fonts/Roboto_Mono_400.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_400.ttf") format("truetype"); } + src: url("../fonts/Roboto_Mono_400.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_400.woff") format("woff"), url("../fonts/Roboto_Mono_400.woff2") format("woff2"), url("../fonts/Roboto_Mono_400.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_400.ttf") format("truetype"); +} @font-face { font-family: 'Roboto Mono'; font-style: normal; font-weight: 500; - src: local("Roboto-Mono Medium"), local("RobotoMono-Medium"), url("../fonts/Roboto_Mono_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_500.woff") format("woff"), url("../fonts/Roboto_Mono_500.woff2") format("woff2"), url("../fonts/Roboto_Mono_500.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_500.ttf") format("truetype"); } + src: local("Roboto-Mono Medium"), local("RobotoMono-Medium"), url("../fonts/Roboto_Mono_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Roboto_Mono_500.woff") format("woff"), url("../fonts/Roboto_Mono_500.woff2") format("woff2"), url("../fonts/Roboto_Mono_500.svg#RobotoMono") format("svg"), url("../fonts/Roboto_Mono_500.ttf") format("truetype"); +} diff --git a/site/assets/js/app/site.js b/site/assets/js/app/site.js index 04c0c495..12bee3ec 100644 --- a/site/assets/js/app/site.js +++ b/site/assets/js/app/site.js @@ -7,6 +7,8 @@ const isDesktop = !isMobile const htmlClassList = document.body.parentNode.classList htmlClassList.add(isDesktop ? 'desktop' : 'mobile') +function toArray(A) { return Array.prototype.slice.apply(A) } + var site = (function(){ var site = {} site.init = function(){ @@ -17,6 +19,11 @@ var site = (function(){ if (paras.length) { paras[0].classList.add('first_paragraph') } + toArray(document.querySelectorAll('header .links a')).forEach(tag => { + if (window.location.href.match(tag.href)) { + tag.classList.add('active') + } + }) } site.init() })() \ No newline at end of file diff --git a/site/public/about/credits/index.html b/site/public/about/credits/index.html index 9fec7e64..f1a28b0e 100644 --- a/site/public/about/credits/index.html +++ b/site/public/about/credits/index.html @@ -18,10 +18,10 @@ The Darkside of Datasets
- Face Search - Datasets - Research - About + Face Search + Datasets + Research + About
diff --git a/site/public/about/disclaimer/index.html b/site/public/about/disclaimer/index.html index 553bf084..5df5d656 100644 --- a/site/public/about/disclaimer/index.html +++ b/site/public/about/disclaimer/index.html @@ -18,10 +18,10 @@ The Darkside of Datasets
- Face Search - Datasets - Research - About + Face Search + Datasets + Research + About
diff --git a/site/public/about/index.html b/site/public/about/index.html index 363e8fc0..f1a28b0e 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -18,15 +18,16 @@ The Darkside of Datasets
- Face Search - Datasets - Research - About + Face Search + Datasets + Research + About
-
alt text
alt text
    +

    Credits

    +
    alt text
    alt text
    • MegaPixels by Adam Harvey
    • Made with support from Mozilla
    • Site developed by Jules Laplace
      • diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html index aa6e5e13..e5763036 100644 --- a/site/public/about/press/index.html +++ b/site/public/about/press/index.html @@ -18,10 +18,10 @@ The Darkside of Datasets
      - Face Search - Datasets - Research - About + Face Search + Datasets + Research + About
      diff --git a/site/public/about/privacy/index.html b/site/public/about/privacy/index.html index d1ec1c77..7ad9564f 100644 --- a/site/public/about/privacy/index.html +++ b/site/public/about/privacy/index.html @@ -18,10 +18,10 @@ The Darkside of Datasets
      - Face Search - Datasets - Research - About + Face Search + Datasets + Research + About
      @@ -84,7 +84,6 @@ megapixels.cc will take all steps reasonably necessary to ensure that your data

      Disclosure Of Data

      Legal Requirements

      megapixels.cc may disclose your Personal Data in the good faith belief that such action is necessary to:

      -

        • To comply with a legal obligation
        • To protect and defend the rights or property of megapixels.cc
          • diff --git a/site/public/about/style/index.html b/site/public/about/style/index.html index 24e6f5be..eea861ac 100644 --- a/site/public/about/style/index.html +++ b/site/public/about/style/index.html @@ -18,15 +18,17 @@ The Darkside of Datasets
          - Face Search - Datasets - Research - About + Face Search + Datasets + Research + About
          -
          Alt text here
          Alt text here

          Header 2

          +

          Style Examples

          +
          Alt text here
          Alt text here

          Header 1

          +

          Header 2

          Header 3

          Header 4

          Header 5
          diff --git a/site/public/about/terms/index.html b/site/public/about/terms/index.html index 4b9f4445..db8b9e57 100644 --- a/site/public/about/terms/index.html +++ b/site/public/about/terms/index.html @@ -18,10 +18,10 @@ The Darkside of Datasets
          - Face Search - Datasets - Research - About + Face Search + Datasets + Research + About
          diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index a130c24e..76549d25 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -18,28 +18,22 @@ The Darkside of Datasets
          - Face Search - Datasets - Research - About + Face Search + Datasets + Research + About
          -
            -
          • Created 2007
            • -
          • Images 13,233
            • -
          • People 5,749
            • -
          • Created From Yahoo News images
            • -
          • Analyzed and searchable
            • -
          -

          Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first dataset of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people downloaded from the Internet, otherwise referred to as “The Wild”.

          +

          Labeled Faces in The Wild

          +
          Created
          2007
          Images
          13,233
          People
          5,749
          Created From
          Yahoo News images
          Search available
          Searchable

          Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first dataset of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people downloaded from the Internet, otherwise referred to as “The Wild”.

          Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.
          Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.

          INTRO

          It began in 2002. Researchers at University of Massachusetts Amherst were developing algorithms for facial recognition and they needed more data. Between 2002-2004 they scraped Yahoo News for images of public figures. Two years later they cleaned up the dataset and repackaged it as Labeled Faces in the Wild (LFW).

          Since then the LFW dataset has become one of the most widely used datasets used for evaluating face recognition algorithms. The associated research paper “Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments” has been cited 996 times reaching 45 different countries throughout the world.

          The faces come from news stories and are mostly celebrities from the entertainment industry, politicians, and villains. It’s a sampling of current affairs and breaking news that has come to pass. The images, detached from their original context now server a new purpose: to train, evaluate, and improve facial recognition.

          As the most widely used facial recognition dataset, it can be said that each individual in LFW has, in a small way, contributed to the current state of the art in facial recognition surveillance. John Cusack, Julianne Moore, Barry Bonds, Osama bin Laden, and even Moby are amongst these biometric pillars, exemplar faces provided the visual dimensions of a new computer vision future.

          -
          From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset
          From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset

          In addition to commercial use as an evaluation tool, alll of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.

          +
          From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset
          From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset

          In addition to commercial use as an evaluation tool, alll of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.

          Usage

          #!/usr/bin/python
 from matplotlib import plt
diff --git a/site/public/datasets/lfw/what/index.html b/site/public/datasets/lfw/what/index.html
new file mode 100644
index 00000000..52993a79
--- /dev/null
+++ b/site/public/datasets/lfw/what/index.html
@@ -0,0 +1,141 @@
+
+
+
+  MegaPixels
+  
+  
+  
+  
+  
+  
+  
+
+
+  
          
+    
+      
+      
          MegaPixels
          
+      The Darkside of Datasets
+              
+    
          
+      Face Search
+      Datasets
+      Research
+      About
+    
          
+  
          
+  
          
+    
+  
          Labeled Faces in The Wild
          
+
            
+
          • Created 2007 (auto)
            • 
+
          • Images 13,233 (auto)
            • 
+
          • People 5,749 (auto)
            • 
+
          • Created From Yahoo News images (auto)
            • 
+
          • Analyzed and searchable (auto)
            • 
+
          
+
          Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first facial recognition dataset [^lfw_names_faces] of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people that appeared on Yahoo News between 2002 - 2004.
          
+
          Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.
          Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.
          INTRO
          
+
          It began in 2002. Researchers at University of Massachusetts Amherst were developing algorithms for facial recognition and they needed more data. Between 2002-2004 they scraped Yahoo News for images of public figures. Two years later they cleaned up the dataset and repackaged it as Labeled Faces in the Wild (LFW).
          
+
          Since then the LFW dataset has become one of the most widely used datasets used for evaluating face recognition algorithms. The associated research paper “Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments” has been cited 996 times reaching 45 different countries throughout the world.
          
+
          The faces come from news stories and are mostly celebrities from the entertainment industry, politicians, and villains. It’s a sampling of current affairs and breaking news that has come to pass. The images, detached from their original context now server a new purpose: to train, evaluate, and improve facial recognition.
          
+
          As the most widely used facial recognition dataset, it can be said that each individual in LFW has, in a small way, contributed to the current state of the art in facial recognition surveillance. John Cusack, Julianne Moore, Barry Bonds, Osama bin Laden, and even Moby are amongst these biometric pillars, exemplar faces provided the visual dimensions of a new computer vision future.
          
+
          From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset
          From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset
          In addition to commercial use as an evaluation tool, all of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.
          
+
          Usage
          
+
          #!/usr/bin/python
+from matplotlib import plt
+from sklearn.datasets import fetch_lfw_people
+lfw_people = fetch_lfw_people()
+lfw_person = lfw_people[0]
+plt.imshow(lfw_person)
+
          
+
          Commercial Use
          
+
          The LFW dataset is used by numerous companies for benchmarking algorithms and in some cases training. According to the benchmarking results page [^lfw_results] provided by the authors, over 2 dozen companies have contributed their benchmark results
          
+
          load file: lfw_commercial_use.csv
+name_display,company_url,example_url,country,description
+
          
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
          CompanyCountryIndustries
          AratekChinaBiometric sensors for telecom, civil identification, finance, education, POS, and transportation
          AratekChinaBiometric sensors for telecom, civil identification, finance, education, POS, and transportation
          AratekChinaBiometric sensors for telecom, civil identification, finance, education, POS, and transportation
          
+
          Add 2-4 screenshots of companies mentioning LFW here
          
+
          ReadSense
          ReadSense
          In benchmarking, companies use a dataset to evaluate their algorithms which are typically trained on other data. After training, researchers will use LFW as a benchmark to compare results with other algorithms.
          
+
          For example, Baidu (est. net worth $13B) uses LFW to report results for their "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding". According to the three Baidu researchers who produced the paper:
          
+
          LFW has been the most popular evaluation benchmark for face recognition, and played a very important role in facilitating the face recognition society to improve algorithm. 1.
          
+
          
+
          Citations
          
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
          TitleOrganizationCountryType
          3D-aided face recognition from videosUniversity of LyonFranceedu
          A Community Detection Approach to Cleaning Extremely Large Face DatabaseNational University of Defense Technology, ChinaChinaedu
          
+
          Conclusion
          
+
          The LFW face recognition training and evaluation dataset is a historically important face dataset as it was the first popular dataset to be created entirely from Internet images, paving the way for a global trend towards downloading anyone’s face from the Internet and adding it to a dataset. As will be evident with other datasets, LFW’s approach has now become the norm.
          
+
          For all the 5,000 people in this datasets, their face is forever a part of facial recognition history. It would be impossible to remove anyone from the dataset because it is so ubiquitous. For their rest of the lives and forever after, these 5,000 people will continue to be used for training facial recognition surveillance.
          
+
          Notes
          
+
          According to BiometricUpdate.com2, LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."
          
+
          
+
          
+
          1. "Chinese tourist town uses face recognition as an entry pass". New Scientist. November 17, 2016. https://www.newscientist.com/article/2113176-chinese-tourist-town-uses-face-recognition-as-an-entry-pass/↩
            2. 
+
          2. "PING AN Tech facial recognition receives high score in latest LFW test results". https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results↩
            3. 
+
          
+
          
+
          
+
+  
          
+  
+
+
+
\ No newline at end of file
diff --git a/site/public/datasets/vgg_faces2/index.html b/site/public/datasets/vgg_faces2/index.html
index ee353047..95b5f7d7 100644
--- a/site/public/datasets/vgg_faces2/index.html
+++ b/site/public/datasets/vgg_faces2/index.html
@@ -18,23 +18,17 @@
       The Darkside of Datasets
     
     
          
-      Face Search
-      Datasets
-      Research
-      About
+      Face Search
+      Datasets
+      Research
+      About
     
          
   
   
          
     
-  
            
-
          • Created 2007
            • 
-
          • Images 13,233
            • 
-
          • People 5,749
            • 
-
          • Created From Yahoo News images
            • 
-
          • Search available Searchable
            • 
-
          
-
          Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first dataset of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people downloaded from the Internet, otherwise referred to by researchers as “The Wild”.
          
-
          Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.
          Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.
          INTRO
          
+  
          Labeled Faces in The Wild
          
+
          Created
          2007
          Images
          13,233
          People
          5,749
          Created From
          Yahoo News images
          Search available
          [Searchable](#)
          Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first dataset of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people downloaded from the Internet, otherwise referred to by researchers as “The Wild”.
          
+
          INTRO
          
 
          It began in 2002. Researchers at University of Massachusetts Amherst were developing algorithms for facial recognition and they needed more data. Between 2002-2004 they scraped Yahoo News for images of public figures. Two years later they cleaned up the dataset and repackaged it as Labeled Faces in the Wild (LFW).
          
 
          Since then the LFW dataset has become one of the most widely used datasets used for evaluating face recognition algorithms. The associated research paper “Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments” has been cited 996 times reaching 45 different countries throughout the world.
          
 
          The faces come from news stories and are mostly celebrities from the entertainment industry, politicians, and villains. It’s a sampling of current affairs and breaking news that has come to pass. The images, detached from their original context now server a new purpose: to train, evaluate, and improve facial recognition.
          
diff --git a/site/public/index.html b/site/public/index.html
index ea3dc24c..3ce22936 100644
--- a/site/public/index.html
+++ b/site/public/index.html
@@ -18,23 +18,23 @@
       The Darkside of Datasets
     
     
          
-      Face Search
-      Datasets
-      Research
-      About
+      Face Search
+      Datasets
+      Research
+      About
     
          
   
   
          
     
   
          MegaPixels is an art project that explores the dark side of face recognition training data and the future of computer vision
          
 
          Made by Adam Harvey in partnership with Mozilla.
          
-Read more about MegaPixels
          
+Read more [about MegaPixels]
          
 
          [Explore Datasets]  [Explore Algorithms]
          
 
          Facial Recognition Datasets
          
 
          Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
          
 
          Summary
          
 
            
-
          • 275 datasets found
            • 
+
          • 275 datsets found
            • 
 
          • Created between the years 1993-2018
            • 
 
          • Smallest dataset: 20 images
            • 
 
          • Largest dataset: 10,000,000 images
            • 
diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html
index 90f142e9..55e02c6c 100644
--- a/site/public/research/01_from_1_to_100_pixels/index.html
+++ b/site/public/research/01_from_1_to_100_pixels/index.html
@@ -18,10 +18,10 @@
       The Darkside of Datasets
     
     
            
-      Face Search
-      Datasets
-      Research
-      About
+      Face Search
+      Datasets
+      Research
+      About
     
            
   
   
            
@@ -74,13 +74,6 @@
 
            
 
          
 
-  
          
-    
          MORE RESEARCH
          
-    
          
-      
-    
          
-  
          
-
   
          
   
          
 
   {{ content }}
-
-  
          
-    
          MORE RESEARCH
          
-    
          
-      {% for blogpost in blogposts %}
-        
          
-          {{ blogpost.title }}
-          {{ blogpost.date }}
-        
          
-      {% endfor %}
-    
          
-  
          
 {% endblock %}
-- 
cgit v1.2.3-70-g09d2


From 2d950c3fa3b8107f941a80f88127ab45e371d128 Mon Sep 17 00:00:00 2001
From: Jules Laplace 
Date: Thu, 6 Dec 2018 19:39:29 +0100
Subject: homepage css

---
 builder/README.md                                  |   3 +
 builder/builder.py                                 |  10 +-
 builder/parser.py                                  |   4 +-
 site/assets/css/css.css                            |  93 ++++++++-
 site/assets/js/app/face.js                         | 213 +++++++++++++++++++++
 site/assets/js/app/site.js                         |   3 +-
 site/public/about/credits/index.html               |   1 +
 site/public/about/disclaimer/index.html            |   1 +
 site/public/about/index.html                       |   1 +
 site/public/about/press/index.html                 |   1 +
 site/public/about/privacy/index.html               |   1 +
 site/public/about/style/index.html                 |   3 +-
 site/public/about/terms/index.html                 |   1 +
 site/public/datasets/lfw/index.html                | 160 +++++++++++++---
 site/public/datasets/lfw/what/index.html           |   1 +
 site/public/datasets/vgg_faces2/index.html         |   1 +
 site/public/index.html                             |  42 ++--
 .../research/01_from_1_to_100_pixels/index.html    |   1 +
 site/public/research/index.html                    |   1 +
 site/templates/home.html                           |  32 ++++
 site/templates/layout.html                         |   1 +
 21 files changed, 524 insertions(+), 50 deletions(-)
 create mode 100644 site/assets/js/app/face.js
 create mode 100644 site/templates/home.html

(limited to 'site/assets/js')

diff --git a/builder/README.md b/builder/README.md
index 1a6d3a1e..57c024cb 100644
--- a/builder/README.md
+++ b/builder/README.md
@@ -19,3 +19,6 @@ authors: Adam Harvey, Berit Gilma, Matthew Stender
 
 Static assets: `v1/site/about/assets/picture.jpg`
 Dataset assets: `v1/datasets/lfw/assets/picture.jpg`
+
+## Markup
+
diff --git a/builder/builder.py b/builder/builder.py
index 0e404b88..620fc710 100644
--- a/builder/builder.py
+++ b/builder/builder.py
@@ -29,10 +29,12 @@ def build_page(fn, research_posts):
   output_path = public_path + metadata['url']
   output_fn = os.path.join(output_path, "index.html")
 
-  is_research = False
+  skip_h1 = False
 
-  if 'research/' in fn:
-    is_research = True
+  if metadata['url'] == '/':
+    template = env.get_template("home.html")
+  elif 'research/' in fn:
+    skip_h1 = True
     template = env.get_template("research.html")
   else:
     template = env.get_template("page.html")
@@ -47,7 +49,7 @@ def build_page(fn, research_posts):
   if 'index.md' in fn:
     s3.sync_directory(dirname, s3_dir, metadata)
 
-  content = parser.parse_markdown(sections, s3_path, skip_h1=is_research)
+  content = parser.parse_markdown(sections, s3_path, skip_h1=skip_h1)
 
   html = template.render(
     metadata=metadata,
diff --git a/builder/parser.py b/builder/parser.py
index da3044a0..dd3643bf 100644
--- a/builder/parser.py
+++ b/builder/parser.py
@@ -46,15 +46,13 @@ def format_metadata(section):
 def parse_markdown(sections, s3_path, skip_h1=False):
   groups = []
   current_group = []
-  seen_metadata = False
   for section in sections:
     if skip_h1 and section.startswith('# '):
       continue
-    elif section.startswith('+ ') and not seen_metadata:
+    elif section.startswith('+ '):
       groups.append(format_section(current_group, s3_path))
       groups.append(format_metadata(section))
       current_group = []
-      seen_metadata = True
     elif '![wide:' in section:
       groups.append(format_section(current_group, s3_path))
       groups.append(format_section([section], s3_path, type='wide'))
diff --git a/site/assets/css/css.css b/site/assets/css/css.css
index 843809a8..9ac35699 100644
--- a/site/assets/css/css.css
+++ b/site/assets/css/css.css
@@ -5,9 +5,11 @@ html, body {
   width: 100%;
   min-height: 100%;
   font-family: 'Roboto', sans-serif;
-  background: #191919;
   color: #b8b8b8;
 }
+html {
+  background: #191919;
+}
 
 /* header */
 
@@ -119,12 +121,14 @@ h1 {
   font-size: 24pt;
   margin: 75px 0 10px;
   padding: 0;
+  transition: color 0.2s cubic-bezier(0,0,1,1);
 }
 h2, h3 {
   margin: 0 0 20px 0;
   padding: 0;
   font-size: 11pt;
   font-weight: 500;
+  transition: color 0.2s cubic-bezier(0,0,1,1);
 }
 
 th, .gray, h2, h3 {
@@ -281,6 +285,9 @@ section.wide .image {
   max-width: 620px;
   margin: 10px auto 0 auto;
 }
+
+/* blog index */
+
 .research_index {
   margin-top: 40px;
 }
@@ -289,10 +296,88 @@ section.wide .image {
 }
 .research_index h1 {
   margin-top: 20px;
+  text-decoration: underline;
+}
+.desktop .research_index section:hover h1 {
+  color: #fff;
+}
+.research_index section:hover h2 {
+  color: #ddd;
 }
 
-/* blogpost index */
+/* home page */
 
-.blogposts div {
-  margin-bottom: 5px;
+.hero {
+  position: relative;
+  width: 100%;
+  max-width: 1200px;
+  height: 50vw;
+  max-height: 70vh;
+  display: flex;
+  align-items: center;
+  margin: 0 auto;
+}
+#face_container {
+  pointer-events: none;
+  position: absolute;
+  width: 50vw;
+  height: 50vw;
+  max-height: 70vh;
+  top: 0;
+  right: 0;
+  z-index: -1;
+  text-align: center;
+}
+.currentFace {
+  position: absolute;
+  bottom: 50px;
+  width: 100%;
+  left: 0;
+  text-align: center;
+}
+.intro {
+  max-width: 640px;
+  padding: 75px 0 75px 10px;
+  z-index: 1;
+}
+.intro .headline {
+  font-family: 'Roboto Mono', monospace;
+  font-size: 16pt;  
+}
+.intro .buttons {
+  margin: 40px 0;
+}
+.intro button {
+  font-family: 'Roboto', sans-serif;
+  padding: 8px 12px;
+  border-radius: 6px;
+  border: 1px solid transparent;
+  cursor: pointer;
+  font-size: 11pt;
+  margin-right: 10px;
+  transition: color 0.1s cubic-bezier(0,0,1,1), background-color 0.1s cubic-bezier(0,0,1,1);
+}
+.intro button.normal {
+  background: #191919;
+  border-color: #444;
+  color: #ddd;
+}
+.intro button.important {
+  background: #444;
+  border-color: #444;
+  color: #ddd;
+}
+.desktop .intro button:hover {
+  background: #666;
+  border-color: #666;
+  color: #fff;
+}
+.intro .under {
+  color: #888;
+}
+.intro .under a {
+  color: #bbb;
+}
+.desktop .intro .under a:hover {
+  color: #fff;
 }
\ No newline at end of file
diff --git a/site/assets/js/app/face.js b/site/assets/js/app/face.js
new file mode 100644
index 00000000..e8bcd313
--- /dev/null
+++ b/site/assets/js/app/face.js
@@ -0,0 +1,213 @@
+var face = (function(){
+  var container = document.querySelector("#face_container")
+  var camera, controls, scene, renderer
+  var mouse = new THREE.Vector2(0.5, 0.5)
+  var mouseTarget = new THREE.Vector2(0.5, 0.5)
+  var POINT_SCALE = 1.8
+  var FACE_POINT_COUNT = 68
+  var SWAP_TIME = 500
+  var cubes = [], meshes = []
+  var currentFace = document.querySelector('.currentFace')
+  var faceBuffer = (function () {
+    var a = new Array(FACE_POINT_COUNT)
+    for (let i = 0; i < FACE_POINT_COUNT; i++) {
+      a[i] = new THREE.Vector3()
+    }
+    return a
+  })()
+  var last_t = 0, start_t = 0
+  var colors = [
+    0xff3333,
+    0xff8833,
+    0xffff33,
+    0x338833,
+    0x3388ff,
+    0x3333ff,
+    0x8833ff,
+    0xff3388,
+    0xffffff,
+  ]
+  var swapping = false, swap_count = 0, swapFrom, swapTo, face_names, faces
+  init()
+
+  function init() {
+    fetch("/assets/data/3dlm_0_10.json")
+    .then(req => req.json())
+    .then(data => {
+      face_names = Object.keys(data)
+      faces = face_names.map(name => recenter(data[name]))
+      setup()
+      build(faces[0])
+      updateFace(faces[0])
+      setCurrentFace(face_names[0])
+      swapTo = faces[0]
+      animate()
+    })
+  }
+  function setup() {
+    var w = window.innerWidth / 2
+    var h = Math.min(window.innerWidth / 2, window.innerHeight * 0.7)
+    camera = new THREE.PerspectiveCamera(70, w/h, 1, 10000)
+    camera.position.x = 0
+    camera.position.y = 0
+    camera.position.z = 250
+
+    scene = new THREE.Scene()
+    scene.background = new THREE.Color(0x191919)
+
+    renderer = new THREE.WebGLRenderer({ antialias: true })
+    renderer.setPixelRatio(window.devicePixelRatio)
+    renderer.setSize(w, h)
+    container.appendChild(renderer.domElement)
+    document.body.addEventListener('mousemove', onMouseMove)
+    // renderer.domElement.addEventListener('mousedown', swap)
+    setInterval(swap, 5000)
+  }
+  function build(points) {
+    var matrix = new THREE.Matrix4()
+    var quaternion = new THREE.Quaternion()
+
+    for (var i = 0; i < FACE_POINT_COUNT; i++) {
+      var p = points[i]
+      var geometry = new THREE.BoxBufferGeometry()
+      var position = new THREE.Vector3(p[0], p[1], p[2])
+      var rotation = new THREE.Euler()
+      var scale = new THREE.Vector3()
+      var color = new THREE.Color()
+      scale.x = scale.y = scale.z = POINT_SCALE
+      quaternion.setFromEuler(rotation, false)
+      matrix.compose(position, quaternion, scale)
+      geometry.applyMatrix(matrix)
+      material = new THREE.MeshBasicMaterial({ color: color.setHex(0xffffff) })
+      cube = new THREE.Mesh(geometry, material)
+      scene.add(cube)
+      cubes.push(cube)
+    }
+
+    meshes = getLineGeometry(points).map((geometry, i) => {
+      var color = new THREE.Color()
+      var material = new MeshLineMaterial({
+        color: color.setHex(colors[i % colors.length]),
+      })
+      var line = new MeshLine()
+      line.setGeometry(geometry, _ => 1.5)
+      var mesh = new THREE.Mesh(line.geometry, material)
+      mesh.geometry.dynamic = true
+      scene.add(mesh)
+      return [line, mesh]
+    })
+  }
+  function lerpPoints(n, A, B, C) {
+    for (let i = 0, len = A.length; i < len; i++) {
+      lerpPoint(n, A[i], B[i], C[i])
+    }
+  }
+  function lerpPoint(n, A, B, C) {
+    C.x = lerp(n, A.x, B.x)
+    C.y = lerp(n, A.y, B.y)
+    C.z = lerp(n, A.z, B.z)
+  }
+  function lerp(n, a, b) {
+    return (b-a) * n + a
+  }
+  function swap(){
+    if (swapping) return
+    start_t = last_t
+    swapping = true
+    swap_count = (swap_count + 1) % faces.length
+    swapFrom = swapTo
+    swapTo = faces[swap_count]
+    setCurrentFace(face_names[swap_count])
+  }
+  function setCurrentFace(name) {
+    name = name.replace('.png', '').split('_').filter(s => !s.match(/\d+/)).join(' ')
+    currentFace.innerHTML = name
+  }
+  function update_swap(t){
+    var n = (t - start_t) / SWAP_TIME
+    if (n > 1) {
+      swapping = false
+      n = 1
+    }
+    lerpPoints(n, swapFrom, swapTo, faceBuffer)
+    updateFace(faceBuffer)
+  }
+  function updateFace(points) {
+    updateCubeGeometry(points)
+    updateLineGeometry(points)
+  }
+  function updateCubeGeometry(points) {
+    cubes.forEach((cube, i) => {
+      const p = points[i]
+      cube.position.set(p.x, p.y, p.z)
+    })
+  }
+  function updateLineGeometry(points) {
+    getLineGeometry(points).map((geometry, i) => {
+      var [line, mesh] = meshes[i]
+      line.setGeometry(geometry, _ => 1.5)
+      mesh.geometry.vertices = line.geometry.vertices
+      mesh.geometry.verticesNeedUpdate = true
+    })
+  }
+  function getLineGeometry(points) {
+    return [
+      points.slice(0, 17),
+      points.slice(17, 22),
+      points.slice(22, 27),
+      points.slice(27, 31),
+      points.slice(31, 36),
+      points.slice(36, 42),
+      points.slice(42, 48),
+      points.slice(48)
+    ].map((a, i) => {
+      var geometry = new THREE.Geometry()
+      a.forEach(p => geometry.vertices.push(p))
+      if (i > 4) {
+        geometry.vertices.push(a[0])
+      }
+      return geometry
+    })
+  }
+  function getBounds(obj) {
+    return obj.reduce((a, p) => {
+      return [
+        Math.min(a[0], p[0]),
+        Math.max(a[1], p[0]),
+        Math.min(a[2], p[1]),
+        Math.max(a[3], p[1]),
+        Math.min(a[4], p[2]),
+        Math.max(a[5], p[2]),
+      ]
+    }, [Infinity, -Infinity, Infinity, -Infinity, Infinity, -Infinity])
+  }
+  function recenter(obj) {
+    const bounds = getBounds(obj)
+    const x_width = (bounds[1] - bounds[0]) / 2
+    const y_width = (bounds[3] - bounds[2]) / -3
+    const z_width = (bounds[5] - bounds[4]) / 2
+    return obj.map(p => {
+      p[0] = p[0] - bounds[0] - x_width
+      p[1] = -p[1] + bounds[1] + y_width
+      p[2] = p[2] - bounds[2] + z_width
+      return new THREE.Vector3(p[0], p[1], p[2])
+    })
+  }
+  //
+  function onMouseMove(e) {
+    mouse.x = e.clientX / window.innerWidth
+    mouse.y = e.clientY / window.innerHeight
+  }
+  function animate(t) {
+    requestAnimationFrame(animate)
+    if (swapping) update_swap(t)
+    renderer.render(scene, camera)
+    scene.rotation.y += 0.01 * Math.PI
+    mouseTarget.x += (mouse.x - mouseTarget.x) * 0.1
+    mouseTarget.y += (mouse.y - mouseTarget.y) * 0.1
+    scene.rotation.x = (mouseTarget.y - 0.5) * Math.PI / 2
+    // scene.rotation.y = (mouseTarget.x - 0.5) * Math.PI
+    scene.rotation.y += 0.01
+    last_t = t
+  }
+})()
diff --git a/site/assets/js/app/site.js b/site/assets/js/app/site.js
index 12bee3ec..eb6886c2 100644
--- a/site/assets/js/app/site.js
+++ b/site/assets/js/app/site.js
@@ -7,7 +7,8 @@ const isDesktop = !isMobile
 const htmlClassList = document.body.parentNode.classList
 htmlClassList.add(isDesktop ? 'desktop' : 'mobile')
 
-function toArray(A) { return Array.prototype.slice.apply(A) }
+function toArray(a) { return Array.prototype.slice.apply(a) }
+function choice(a) { return a[Math.floor(Math.random()*a.length)]}
 
 var site = (function(){
   var site = {}
diff --git a/site/public/about/credits/index.html b/site/public/about/credits/index.html
index f1a28b0e..65bc7ac4 100644
--- a/site/public/about/credits/index.html
+++ b/site/public/about/credits/index.html
@@ -52,5 +52,6 @@
     
          
   
 
+
 
 
\ No newline at end of file
diff --git a/site/public/about/disclaimer/index.html b/site/public/about/disclaimer/index.html
index 5df5d656..b0215bde 100644
--- a/site/public/about/disclaimer/index.html
+++ b/site/public/about/disclaimer/index.html
@@ -52,5 +52,6 @@
          + \ No newline at end of file diff --git a/site/public/about/index.html b/site/public/about/index.html index f1a28b0e..65bc7ac4 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -52,5 +52,6 @@
          + \ No newline at end of file diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html index e5763036..09c89165 100644 --- a/site/public/about/press/index.html +++ b/site/public/about/press/index.html @@ -50,5 +50,6 @@
          + \ No newline at end of file diff --git a/site/public/about/privacy/index.html b/site/public/about/privacy/index.html index 7ad9564f..5675f072 100644 --- a/site/public/about/privacy/index.html +++ b/site/public/about/privacy/index.html @@ -129,5 +129,6 @@ You are advised to review this Privacy Policy periodically for any changes. Chan
      + \ No newline at end of file diff --git a/site/public/about/style/index.html b/site/public/about/style/index.html index eea861ac..f2c0d4b8 100644 --- a/site/public/about/style/index.html +++ b/site/public/about/style/index.html @@ -27,7 +27,7 @@

      Style Examples

      -
      Alt text here
      Alt text here

      Header 1

      +
      Alt text here
      Alt text here
      Date
      17-Jan-2019
      Numbers
      17
      Identities
      12,139
      But also
      This is a test of the stylesheet

      Header 1

      Header 2

      Header 3

      Header 4

      @@ -85,5 +85,6 @@ But let's throw in a <b>tag</b>.
      + \ No newline at end of file diff --git a/site/public/about/terms/index.html b/site/public/about/terms/index.html index db8b9e57..078c339f 100644 --- a/site/public/about/terms/index.html +++ b/site/public/about/terms/index.html @@ -64,5 +64,6 @@
      + \ No newline at end of file diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 76549d25..39052b44 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -27,23 +27,22 @@

      Labeled Faces in The Wild

      -
      Created
      2007
      Images
      13,233
      People
      5,749
      Created From
      Yahoo News images
      Search available
      Searchable

      Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first dataset of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people downloaded from the Internet, otherwise referred to as “The Wild”.

      -
      Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.
      Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.

      INTRO

      +
      Created
      2007
      Images
      13,233
      People
      5,749
      Created From
      Yahoo News images
      Search available
      Searchable

      Labeled Faces in The Wild (LFW) is amongst the most widely used facial recognition training datasets in the world and is the first of its kind to be created entirely from images that were posted online. The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. Use the tools below to check if you were included in this dataset or scroll down to read the analysis.

      +

      {INSERT IMAGE SEARCH MODULE}

      +

      {INSERT TEXT SEARCH MODULE}

      +
      Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.
      Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.

      INTRO

      It began in 2002. Researchers at University of Massachusetts Amherst were developing algorithms for facial recognition and they needed more data. Between 2002-2004 they scraped Yahoo News for images of public figures. Two years later they cleaned up the dataset and repackaged it as Labeled Faces in the Wild (LFW).

      Since then the LFW dataset has become one of the most widely used datasets used for evaluating face recognition algorithms. The associated research paper “Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments” has been cited 996 times reaching 45 different countries throughout the world.

      The faces come from news stories and are mostly celebrities from the entertainment industry, politicians, and villains. It’s a sampling of current affairs and breaking news that has come to pass. The images, detached from their original context now server a new purpose: to train, evaluate, and improve facial recognition.

      As the most widely used facial recognition dataset, it can be said that each individual in LFW has, in a small way, contributed to the current state of the art in facial recognition surveillance. John Cusack, Julianne Moore, Barry Bonds, Osama bin Laden, and even Moby are amongst these biometric pillars, exemplar faces provided the visual dimensions of a new computer vision future.

      -
      From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset
      From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset

      In addition to commercial use as an evaluation tool, alll of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.

      -

      Usage

      -
      #!/usr/bin/python
-from matplotlib import plt
-from sklearn.datasets import fetch_lfw_people
-lfw_people = fetch_lfw_people()
-lfw_person = lfw_people[0]
-plt.imshow(lfw_person)
-
      +
      The entire LFW dataset cropped to facial regions
      The entire LFW dataset cropped to facial regions

      In addition to commercial use as an evaluation tool, alll of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.

      +

      Facts

      +

      The person with the most images is: +The person with the least images is:

      Commercial Use

      -

      The LFW dataset is used by numerous companies for benchmarking algorithms and in some cases training. According to the benchmarking results page [^lfw_results] provided by the authors, over 2 dozen companies have contributed their benchmark results

      +

      The LFW dataset is used by numerous companies for benchmarking algorithms and in some cases training. According to the benchmarking results page [^lfw_results] provided by the authors, over 2 dozen companies have contributed their benchmark results.

      +

      According to BiometricUpdate.com [^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."

      +

      According to researchers at the Baidu Research – Institute of Deep Learning "LFW has been the most popular evaluation benchmark for face recognition, and played a very important role in facilitating the face recognition society to improve algorithm. [^lfw_baidu]."

      load file: lfw_commercial_use.csv
 name_display,company_url,example_url,country,description
      @@ -73,11 +72,24 @@ name_display,company_url,example_url,country,description

      Add 2-4 screenshots of companies mentioning LFW here

      -
      ReadSense
      ReadSense

      In benchmarking, companies use a dataset to evaluate their algorithms which are typically trained on other data. After training, researchers will use LFW as a benchmark to compare results with other algorithms.

      +
      "PING AN Tech facial recognition receives high score in latest LFW test results"
      "PING AN Tech facial recognition receives high score in latest LFW test results"
      +
      "Face Recognition Performance in LFW benchmark"
      "Face Recognition Performance in LFW benchmark"
      +
      "The 1st place in face verification challenge, LFW"
      "The 1st place in face verification challenge, LFW"

      In benchmarking, companies use a dataset to evaluate their algorithms which are typically trained on other data. After training, researchers will use LFW as a benchmark to compare results with other algorithms.

      For example, Baidu (est. net worth $13B) uses LFW to report results for their "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding". According to the three Baidu researchers who produced the paper:

      -

      LFW has been the most popular evaluation benchmark for face recognition, and played a very important role in facilitating the face recognition society to improve algorithm. 1.

      -

      Citations

      +

      Overall, LFW has at least 456 citations from 123 countries. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos.

      +

      Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos.

      +
      Distribution of citations per year per country for the top 5 countries with citations for the LFW Dataset
      Distribution of citations per year per country for the top 5 countries with citations for the LFW Dataset
      Geographic distributions of citations for the LFW Dataset
      Geographic distributions of citations for the LFW Dataset

      Conclusion

      +

      The LFW face recognition training and evaluation dataset is a historically important face dataset as it was the first popular dataset to be created entirely from Internet images, paving the way for a global trend towards downloading anyone’s face from the Internet and adding it to a dataset. As will be evident with other datasets, LFW’s approach has now become the norm.

      +

      For all the 5,000 people in this datasets, their face is forever a part of facial recognition history. It would be impossible to remove anyone from the dataset because it is so ubiquitous. For their rest of the lives and forever after, these 5,000 people will continue to be used for training facial recognition surveillance.

      +

      Right to Removal

      +

      If you are affected by disclosure of your identity in this dataset please do contact the authors, many state that they are willing to remove images upon request. The authors of the LFW can be reached from the emails posted in their paper:

      +

      You can use the following message to request removal from the dataset:

      +

      Dear [researcher name],

      +

      I am writing to you about the "LFW Dataset". Recently I have discovered that your dataset includes my identity and no longer wish to be included in your dataset

      +

      MegaPixels is an educational art project developed for academic purposes. In no way does this project aim to villify the researchers who produced the datasets. The aim of this project is to encourage discourse around ethics and consent in artificial intelligence by providing information about these datasets that is otherwise difficult to obtain or inaccessible to other researchers.

      +

      Supplementary Data

      +

      Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos.

      @@ -99,18 +111,119 @@ name_display,company_url,example_url,country,description + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      TitleChina edu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      3D-aided face recognition from videosUniversity of LyonFranceedu
      -

      Conclusion

      -

      The LFW face recognition training and evaluation dataset is a historically important face dataset as it was the first popular dataset to be created entirely from Internet images, paving the way for a global trend towards downloading anyone’s face from the Internet and adding it to a dataset. As will be evident with other datasets, LFW’s approach has now become the norm.

      -

      For all the 5,000 people in this datasets, their face is forever a part of facial recognition history. It would be impossible to remove anyone from the dataset because it is so ubiquitous. For their rest of the lives and forever after, these 5,000 people will continue to be used for training facial recognition surveillance.

      -

      Notes

      -

      According to BiometricUpdate.com2, LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."

      +

      Code

      +
      #!/usr/bin/python
+
+import numpy as np
+from sklearn.datasets import fetch_lfw_people
+import imageio
+import imutils
+
+# download LFW dataset (first run takes a while)
+lfw_people = fetch_lfw_people(min_faces_per_person=1, resize=1, color=True, funneled=False)
+
+# introspect dataset
+n_samples, h, w, c = lfw_people.images.shape
+print('{:,} images at {}x{}'.format(n_samples, w, h))
+cols, rows = (176, 76)
+n_ims = cols * rows
+
+# build montages
+im_scale = 0.5
+ims = lfw_people.images[:n_ims
+montages = imutils.build_montages(ims, (int(w*im_scale, int(h*im_scale)), (cols, rows))
+montage = montages[0]
+
+# save full montage image
+imageio.imwrite('lfw_montage_full.png', montage)
+
+# make a smaller version
+montage_960 = imutils.resize(montage, width=960)
+imageio.imwrite('lfw_montage_960.jpg', montage_960)
+
      -

      1. "Chinese tourist town uses face recognition as an entry pass". New Scientist. November 17, 2016. https://www.newscientist.com/article/2113176-chinese-tourist-town-uses-face-recognition-as-an-entry-pass/↩

        2. -

      2. "PING AN Tech facial recognition receives high score in latest LFW test results". https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results↩

        3. -
      +
        @@ -130,5 +243,6 @@ name_display,company_url,example_url,country,description
        + \ No newline at end of file diff --git a/site/public/datasets/lfw/what/index.html b/site/public/datasets/lfw/what/index.html index 52993a79..ceafb35a 100644 --- a/site/public/datasets/lfw/what/index.html +++ b/site/public/datasets/lfw/what/index.html @@ -137,5 +137,6 @@ name_display,company_url,example_url,country,description
    + \ No newline at end of file diff --git a/site/public/datasets/vgg_faces2/index.html b/site/public/datasets/vgg_faces2/index.html index 95b5f7d7..3f778f71 100644 --- a/site/public/datasets/vgg_faces2/index.html +++ b/site/public/datasets/vgg_faces2/index.html @@ -58,5 +58,6 @@
    + \ No newline at end of file diff --git a/site/public/index.html b/site/public/index.html index 3ce22936..51006b59 100644 --- a/site/public/index.html +++ b/site/public/index.html @@ -26,22 +26,31 @@
    -

    MegaPixels is an art project that explores the dark side of face recognition training data and the future of computer vision

    -

    Made by Adam Harvey in partnership with Mozilla.
    -Read more [about MegaPixels]

    -

    [Explore Datasets] [Explore Algorithms]

    -

    Facial Recognition Datasets

    +
    +
    +
    +
    +
    +
    + MegaPixels is an art project that explores the dark side of face recognition and the future of computer vision. +
    + +
    + +
    + +
    + Made by Adam Harvey in partnership with Mozilla.
    + Read more about MegaPixels +
    +
    +
    + +

    Facial Recognition Datasets

    Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

    Summary

    -
      -
    • 275 datsets found
      • -
    • Created between the years 1993-2018
      • -
    • Smallest dataset: 20 images
      • -
    • Largest dataset: 10,000,000 images
      • -
    • Highest resolution faces: 450x500 (Unconstrained College Students)
      • -
    • Lowest resolution faces: 16x20 pixels (QMUL SurvFace)
      • -
    -
    +
    Found
    275 datasets
    Created between
    1993-2018
    Smallest dataset
    20 images
    Largest dataset
    10,000,000 images
    Highest resolution faces
    450x500 (Unconstrained College Students)
    Lowest resolution faces
    16x20 pixels (QMUL SurvFace)
    +
    @@ -59,5 +68,10 @@ Read more [about MegaPixels]

    + + + + + \ No newline at end of file diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html index 55e02c6c..b4c85d00 100644 --- a/site/public/research/01_from_1_to_100_pixels/index.html +++ b/site/public/research/01_from_1_to_100_pixels/index.html @@ -90,5 +90,6 @@ + \ No newline at end of file diff --git a/site/public/research/index.html b/site/public/research/index.html index 1f61dadf..cf9546e1 100644 --- a/site/public/research/index.html +++ b/site/public/research/index.html @@ -46,5 +46,6 @@ + \ No newline at end of file diff --git a/site/templates/home.html b/site/templates/home.html new file mode 100644 index 00000000..436c1ddf --- /dev/null +++ b/site/templates/home.html @@ -0,0 +1,32 @@ +{% extends 'layout.html' %} + +{% block content %} +
    +
    +
    +
    +
    +
    + MegaPixels is an art project that explores the dark side of face recognition and the future of computer vision. +
    + +
    + +
    + +
    + Made by Adam Harvey in partnership with Mozilla.
    + Read more about MegaPixels +
    +
    +
    + + {{ content }} + +{% endblock %} + +{% block scripts %} + + + +{% endblock %} diff --git a/site/templates/layout.html b/site/templates/layout.html index 7558163e..605f9788 100644 --- a/site/templates/layout.html +++ b/site/templates/layout.html @@ -42,5 +42,6 @@ +{% block scripts %}{% endblock %} \ No newline at end of file -- cgit v1.2.3-70-g09d2 From 9d0c59efe26ac3607900ff1685eafe5572b06400 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Fri, 7 Dec 2018 18:19:03 +0100 Subject: dont sleep --- scraper/s2-raw-papers.py | 4 ++-- site/assets/js/app/face.js | 14 ++++++++++++++ site/templates/home.html | 1 + 3 files changed, 17 insertions(+), 2 deletions(-) (limited to 'site/assets/js') diff --git a/scraper/s2-raw-papers.py b/scraper/s2-raw-papers.py index 2323ec63..089055da 100644 --- a/scraper/s2-raw-papers.py +++ b/scraper/s2-raw-papers.py @@ -29,10 +29,10 @@ def fetch_raw_paper(paper_id): paper = s2.raw_paper(paper_id) if paper is None: print("Got empty paper?? {}".format(paper_id)) - time.sleep(random.randint(5, 10)) + # time.sleep(random.randint(5, 10)) return None write_json(paper_fn, paper) - time.sleep(random.randint(5, 10)) + # time.sleep(random.randint(5, 10)) return paper def make_raw_paper_path(paper_id): diff --git a/site/assets/js/app/face.js b/site/assets/js/app/face.js index e8bcd313..bdaa0313 100644 --- a/site/assets/js/app/face.js +++ b/site/assets/js/app/face.js @@ -61,6 +61,20 @@ var face = (function(){ container.appendChild(renderer.domElement) document.body.addEventListener('mousemove', onMouseMove) // renderer.domElement.addEventListener('mousedown', swap) + // oktween.add({ + // obj: el.style, + // units: "px", + // from: { left: 0 }, + // to: { left: 100 }, + // duration: 1000, + // easing: oktween.easing.circ_out, + // update: function(obj){ + // console.log(obj.left) + // } + // finished: function(){ + // console.log("done") + // } + // }) setInterval(swap, 5000) } function build(points) { diff --git a/site/templates/home.html b/site/templates/home.html index 436c1ddf..59f8cf76 100644 --- a/site/templates/home.html +++ b/site/templates/home.html @@ -28,5 +28,6 @@ {% block scripts %} + {% endblock %} -- cgit v1.2.3-70-g09d2 From d1da6ed6b0a6911c3b24e012ea051c9253ce8479 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Mon, 10 Dec 2018 22:43:10 +0100 Subject: pull in dulldream celery server --- server/app/README.md | 17 + server/app/__init__.py | 39 + server/app/basemodels.py | 5 + server/app/favicon.ico | Bin 0 -> 318 bytes server/app/index.html | 161 +++ server/app/main/__init__.py | 5 + server/app/main/errors.py | 32 + server/app/main/forms.py | 60 + server/app/main/img_proc_config.py | 20 + server/app/main/paths.py | 19 + server/app/main/tasks.py | 374 +++++++ server/app/main/utils.py | 37 + server/app/main/views.py | 300 +++++ server/app/static/css/bootstrap.min.css | 6 + server/app/static/css/dullbrown-theme.css | 502 +++++++++ server/app/static/css/projector.css | 52 + server/app/static/js/app.js | 158 +++ server/app/static/js/upload.js | 319 ++++++ server/app/static/js/util.js | 32 + server/app/static/js/vendor/ExifReader.js | 1363 +++++++++++++++++++++++ server/app/static/js/vendor/canvas-to-blob.js | 111 ++ server/app/static/js/vendor/jquery-3.3.1.min.js | 2 + server/app/static/js/vendor/nanobar.min.js | 3 + server/app/static/js/vendor/prefixfree.js | 527 +++++++++ server/app/templates/403.html | 35 + server/app/templates/404.html | 33 + server/app/templates/500.html | 34 + server/app/templates/base.html | 33 + server/app/templates/celery.html | 43 + server/app/templates/display.html | 69 ++ server/app/templates/index.html | 161 +++ server/celery_worker.py | 7 + server/config.py | 78 ++ server/deploy.sh | 20 + server/dulldream.wsgi.py | 13 + server/run-celery.sh | 3 + server/run-dev.sh | 1 + server/run-gunicorn.sh | 2 + server/run-redis.sh | 2 + server/run.py | 12 + site/assets/js/vendor/oktween.js | 159 +++ 41 files changed, 4849 insertions(+) create mode 100644 server/app/README.md create mode 100644 server/app/__init__.py create mode 100644 server/app/basemodels.py create mode 100644 server/app/favicon.ico create mode 100644 server/app/index.html create mode 100644 server/app/main/__init__.py create mode 100644 server/app/main/errors.py create mode 100644 server/app/main/forms.py create mode 100644 server/app/main/img_proc_config.py create mode 100644 server/app/main/paths.py create mode 100644 server/app/main/tasks.py create mode 100644 server/app/main/utils.py create mode 100644 server/app/main/views.py create mode 100644 server/app/static/css/bootstrap.min.css create mode 100644 server/app/static/css/dullbrown-theme.css create mode 100644 server/app/static/css/projector.css create mode 100644 server/app/static/js/app.js create mode 100644 server/app/static/js/upload.js create mode 100644 server/app/static/js/util.js create mode 100644 server/app/static/js/vendor/ExifReader.js create mode 100644 server/app/static/js/vendor/canvas-to-blob.js create mode 100644 server/app/static/js/vendor/jquery-3.3.1.min.js create mode 100644 server/app/static/js/vendor/nanobar.min.js create mode 100644 server/app/static/js/vendor/prefixfree.js create mode 100644 server/app/templates/403.html create mode 100644 server/app/templates/404.html create mode 100644 server/app/templates/500.html create mode 100644 server/app/templates/base.html create mode 100644 server/app/templates/celery.html create mode 100644 server/app/templates/display.html create mode 100644 server/app/templates/index.html create mode 100644 server/celery_worker.py create mode 100644 server/config.py create mode 100755 server/deploy.sh create mode 100644 server/dulldream.wsgi.py create mode 100755 server/run-celery.sh create mode 100755 server/run-dev.sh create mode 100755 server/run-gunicorn.sh create mode 100755 server/run-redis.sh create mode 100644 server/run.py create mode 100644 site/assets/js/vendor/oktween.js (limited to 'site/assets/js') diff --git a/server/app/README.md b/server/app/README.md new file mode 100644 index 00000000..8bc70132 --- /dev/null +++ b/server/app/README.md @@ -0,0 +1,17 @@ +# Startup + +Run supervisor + +`/usr/bin/supervisord` + +Tail log file + +`tail -f /var/log/uwsgi/app/app.log` + +`/opt/redis/redis-stable/src/redis-server &` + +`celery worker -A celery_worker.celery --loglevel=info &` + +If using on Production Server + +`/usr/bin/nohup /usr/bin/supervisord &` \ No newline at end of file diff --git a/server/app/__init__.py b/server/app/__init__.py new file mode 100644 index 00000000..bce3f9ee --- /dev/null +++ b/server/app/__init__.py @@ -0,0 +1,39 @@ +import logging +from logging.handlers import RotatingFileHandler + +from flask import Flask +from flask_bootstrap import Bootstrap + +from flask import Flask + +from config import config, Config + +bootstrap = Bootstrap() +#celery = Celery(__name__, broker=Config.CELERY_BROKER_URL) +from .basemodels import celery + +def create_app(config_name): + app = Flask(__name__) + app.config.from_object(config[config_name]) + config[config_name].init_app(app) + + bootstrap.init_app(app) + celery.conf.update(app.config) + + from .main import main as main_blueprint + app.register_blueprint(main_blueprint) + + #handler = RotatingFileHandler('debug.log', maxBytes=10000, backupCount=1) + #handler.setLevel(logging.INFO) + #app.logger.addHandler(handler) + + format = "%(asctime)s - [%(levelname)s] %(message)s" + logging.basicConfig(filename='debug.log', + filemode='a', + format=format, + level=logging.DEBUG) + console = logging.StreamHandler() + console.setLevel(logging.DEBUG) + logging.getLogger(__name__).addHandler(console) + + return app diff --git a/server/app/basemodels.py b/server/app/basemodels.py new file mode 100644 index 00000000..475ab0c2 --- /dev/null +++ b/server/app/basemodels.py @@ -0,0 +1,5 @@ +from config import config, Config +from celery import Celery + +#bootstrap = Bootstrap() +celery = Celery(__name__, broker=Config.CELERY_BROKER_URL) diff --git a/server/app/favicon.ico b/server/app/favicon.ico new file mode 100644 index 00000000..4d001b21 Binary files /dev/null and b/server/app/favicon.ico differ diff --git a/server/app/index.html b/server/app/index.html new file mode 100644 index 00000000..3c1b0dfd --- /dev/null +++ b/server/app/index.html @@ -0,0 +1,161 @@ + + + + + + + DullDream (v2 x ZkM) + + + + +
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    DullDream

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    Neural network photo effect

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    DullDream

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    + DullDream™ by DullTech™ is a series of experiments appropriating neural network image recognition technology to make visual representation less interesting. +

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    + Can machine learning help us desensitize? Our impactful lives are clogging up social media feeds with unique filter settings, leaving us nostalgic for a vanilla future. Can machine learning help us achieve this? Take the excitement out of our lives, prepare us for a time where we will all have to be the same, have the same values and culture? Painting a future where the Dull is no longer a dream but a nightmare? +

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    + + + + + + + + + + + + + + diff --git a/server/app/main/__init__.py b/server/app/main/__init__.py new file mode 100644 index 00000000..a21e2754 --- /dev/null +++ b/server/app/main/__init__.py @@ -0,0 +1,5 @@ +from flask import Blueprint + +main = Blueprint('main', __name__) + +from . import views, errors, tasks, utils \ No newline at end of file diff --git a/server/app/main/errors.py b/server/app/main/errors.py new file mode 100644 index 00000000..60b5f227 --- /dev/null +++ b/server/app/main/errors.py @@ -0,0 +1,32 @@ +from flask import render_template, request, jsonify +from . import main + + +@main.app_errorhandler(403) +def forbidden(e): + if request.accept_mimetypes.accept_json and \ + not request.accept_mimetypes.accept_html: + response = jsonify({'error': 'forbidden'}) + response.status_code = 403 + return response + return render_template('403.html'), 403 + + +@main.app_errorhandler(404) +def page_not_found(e): + if request.accept_mimetypes.accept_json and \ + not request.accept_mimetypes.accept_html: + response = jsonify({'error': 'not found'}) + response.status_code = 404 + return response + return render_template('404.html'), 404 + + +@main.app_errorhandler(500) +def internal_server_error(e): + if request.accept_mimetypes.accept_json and \ + not request.accept_mimetypes.accept_html: + response = jsonify({'error': 'internal server error'}) + response.status_code = 500 + return response + return render_template('500.html'), 500 diff --git a/server/app/main/forms.py b/server/app/main/forms.py new file mode 100644 index 00000000..bc1399ad --- /dev/null +++ b/server/app/main/forms.py @@ -0,0 +1,60 @@ +from flask.ext.wtf import Form +from wtforms import StringField, TextAreaField, BooleanField, SelectField,\ + SubmitField +from wtforms.validators import Required, Length, Email, Regexp +from wtforms import ValidationError +from flask.ext.pagedown.fields import PageDownField +from ..models import Role, User + + +class NameForm(Form): + name = StringField('What is your name?', validators=[Required()]) + submit = SubmitField('Submit') + + +class EditProfileForm(Form): + name = StringField('Real name', validators=[Length(0, 64)]) + location = StringField('Location', validators=[Length(0, 64)]) + about_me = TextAreaField('About me') + submit = SubmitField('Submit') + + +class EditProfileAdminForm(Form): + email = StringField('Email', validators=[Required(), Length(1, 64), + Email()]) + username = StringField('Username', validators=[ + Required(), Length(1, 64), Regexp('^[A-Za-z][A-Za-z0-9_.]*$', 0, + 'Usernames must have only letters, ' + 'numbers, dots or underscores')]) + confirmed = BooleanField('Confirmed') + role = SelectField('Role', coerce=int) + name = StringField('Real name', validators=[Length(0, 64)]) + location = StringField('Location', validators=[Length(0, 64)]) + about_me = TextAreaField('About me') + submit = SubmitField('Submit') + + def __init__(self, user, *args, **kwargs): + super(EditProfileAdminForm, self).__init__(*args, **kwargs) + self.role.choices = [(role.id, role.name) + for role in Role.query.order_by(Role.name).all()] + self.user = user + + def validate_email(self, field): + if field.data != self.user.email and \ + User.query.filter_by(email=field.data).first(): + raise ValidationError('Email already registered.') + + def validate_username(self, field): + if field.data != self.user.username and \ + User.query.filter_by(username=field.data).first(): + raise ValidationError('Username already in use.') + + +class PostForm(Form): + body = PageDownField("What's on your mind?", validators=[Required()]) + submit = SubmitField('Submit') + + +class CommentForm(Form): + body = StringField('Enter your comment', validators=[Required()]) + submit = SubmitField('Submit') diff --git a/server/app/main/img_proc_config.py b/server/app/main/img_proc_config.py new file mode 100644 index 00000000..db124978 --- /dev/null +++ b/server/app/main/img_proc_config.py @@ -0,0 +1,20 @@ +# paths for image processors +import os +from os.path import join + +class ImgProcConfig: + + def __init__(self): + dir_models = '/data_store/apps/dulldream/dnn_models' + + # mask rcnn + self.mask_rcnn_class_config = '/dulldream/src/config/coco_meta.json' + self.mask_rcnn_model = join(dir_models,'tf/mask_rcnn_coco.h5') + + # p2p + self.p2p_ckpts_dir = join(dir_models,'p2p/coco2014_person') + self.p2p_epoch = 'latest' + + # p2p objects only + self.p2p_bg_ckpts_dir = join(dir_models,'p2p/coco2014_objects') + self.p2p_bg_epoch = 'latest' diff --git a/server/app/main/paths.py b/server/app/main/paths.py new file mode 100644 index 00000000..69c21627 --- /dev/null +++ b/server/app/main/paths.py @@ -0,0 +1,19 @@ +from flask import current_app as app + +def get_paths(agree): + if agree: + return ( + app.config['UPLOADS'], + app.config['RENDERS'], + app.config['JSON_DIR'], + app.config['UPLOADS_URI'], + app.config['RENDERS_URI'], + ) + else: + return ( + app.config['UPLOADS_PRIVATE'], + app.config['RENDERS_PRIVATE'], + app.config['JSON_PRIVATE_DIR'], + app.config['UPLOADS_PRIVATE_URI'], + app.config['RENDERS_PRIVATE_URI'], + ) diff --git a/server/app/main/tasks.py b/server/app/main/tasks.py new file mode 100644 index 00000000..970e6988 --- /dev/null +++ b/server/app/main/tasks.py @@ -0,0 +1,374 @@ +import os +import sys +import time +import datetime +import json +from PIL import Image, ImageFilter +import cv2 as cv +import numpy as np +from . import main, utils +from .. import basemodels +from flask import current_app as app +from .paths import get_paths +celery = basemodels.celery +from celery.utils.log import get_task_logger +celery_logger = get_task_logger(__name__) +import imutils + + +# init image processors +sys.path.append('/dulldream/src/') +from .img_proc_config import ImgProcConfig +from image_processors.mask_rcnn import MaskRCNN +from image_processors.pix2pix import Pix2Pix +from utils import imx +from utils import fiox + + +# initialize image processor +img_proc_config = ImgProcConfig() +p2p = Pix2Pix(img_proc_config.p2p_ckpts_dir,epoch=img_proc_config.p2p_epoch) +p2p_objects = Pix2Pix(img_proc_config.p2p_bg_ckpts_dir,epoch=img_proc_config.p2p_epoch) + +mask_rcnn = MaskRCNN(img_proc_config.mask_rcnn_class_config, + model_path=img_proc_config.mask_rcnn_model) + + +@celery.task(bind=True) +def task_dull(self, uuid_name, agree, mask_rcnn_result): + """Process image and update during""" + celery_logger.debug('process_image_task, uuid: {}'.format(uuid_name)) + + upload_dir, render_dir, json_dir, upload_uri, render_uri = get_paths(agree) + + files = [] + im = Image.open(os.path.join(upload_dir, uuid_name + '.jpg')).convert('RGB') + #im_np = cv.cvtColor(imx.ensure_np(im),cv.COLOR_RGB2BGR) + im_np = imx.ensure_np(im) + im_np = im_np[:,:,::-1] + im = im.resize((256,256)) + im_np_256 = imutils.resize(im_np,width=256) + + # Add original + fpath = os.path.join(render_dir, uuid_name + '_orig.jpg') + im.save(fpath, 'JPEG', quality=95) + files.append({ + 'title': 'Original', + 'fn': render_uri + uuid_name + '_orig.jpg' + }) + + if mask_rcnn_result['valid']: + # ----------------------------------------------- + # Segment image (processed in views) + # seems to be an error with async celery processor? + # ----------------------------------------------- + + # parse mrcnn data + im_mask = cv.imread(mask_rcnn_result['fp_im_mask']) + seg_mask = cv.imread(mask_rcnn_result['fp_seg_mask']) + #score = mask_rcnn_result['score'] + #name = mask_rcnn_result['name'] + #color = mask_rcnn_result['color'] + files.append({ + 'title': 'Semantic Segmentation', + 'fn': render_uri + uuid_name + '_seg_mask.jpg' + }) + files.append({ + 'title': 'Semantic Segmentation Isolate', + 'fn': render_uri + uuid_name + '_im_mask.jpg' + }) + + + # ----------------------------------------------- + # run rag generator + # ----------------------------------------------- + + self.update_state( + state = 'PROCESSING', + meta = { + 'percent': 0.50, + 'message': 'Applying Region Adjacency Graph', + 'uuid': uuid_name + }) + + # save the regions adjancency graph + im_rag = imx.create_rag_mean(im_mask,compactness=30,n_segments=128) + fpath = os.path.join(render_dir, uuid_name + '_rgraph.jpg') + imx.save_np_as_pil(fpath,im_rag,quality=95) + files.append({ + 'title': 'Region Adjacency Graph', + 'fn': render_uri + uuid_name + '_rgraph.jpg' + }) + + + # ----------------------------------------------- + # generate p2p fake + # ----------------------------------------------- + + self.update_state( + state = 'PROCESSING', + meta = { + 'percent': 0.75, + 'message': 'Running generative adversarial network...', + 'uuid': uuid_name + }) + + + # convert segmentation to mask + seg_mask_gray = cv.cvtColor(seg_mask,cv.COLOR_BGR2GRAY) + seg_mask_gray[seg_mask_gray > 1] = 255 + + # find best P2P fit + ims_p2p = [] + match_amts = [] + iters = 15 + for i in range(0,iters): + im_p2p = p2p.create_p2p(im_rag) + ims_p2p.append(im_p2p) + im_p2p_mask = cv.cvtColor(im_p2p,cv.COLOR_RGB2GRAY) + im_p2p_mask[im_p2p_mask > 1] = 255 + # find where masks intersect + matches = np.bitwise_and(im_p2p_mask,seg_mask_gray) + amt = len(np.where(matches == 255)[0]) + match_amts.append(amt) + self.update_state( + state = 'PROCESSING', + meta = { + 'percent': 0.75, + 'message': 'Generating ({}/{})'.format(i,iters), + 'uuid': uuid_name + }) + + best_idx = np.argmax(match_amts) + im_p2p = ims_p2p[best_idx] + + fpath = os.path.join(render_dir, uuid_name + '_gan.jpg') + imx.save_np_as_pil(fpath,im_p2p,quality=95) + files.append({ + 'title': 'Generative Adversarial Network', + 'fn': render_uri + uuid_name + '_gan.jpg' + }) + + + # ----------------------------------------------- + # generate p2p fake + # ----------------------------------------------- + + # announce to user + self.update_state( + state = 'PROCESSING', + meta = { + 'percent': 0.90, + 'message': 'Compositing images...', + 'uuid': uuid_name + }) + + + # apply masked cloning + im_p2p_gray = cv.cvtColor(im_p2p,cv.COLOR_BGR2GRAY) + im_clone_mask = np.zeros_like(im_p2p_gray,dtype=np.uint8) + im_clone_mask[im_p2p_gray > 1] = 255 + + + # apply smoothed copy+paste clone + im_blur_mask = np.zeros(im_np_256.shape[:2],dtype=np.float64) + im_blur_mask[im_p2p_gray > 1] = 1.0 + im_blur_mask = np.array([im_blur_mask,im_blur_mask,im_blur_mask]).transpose((1,2,0)) + + # erode mask to remove black border + kernel = np.ones((3,3),np.uint8) + im_blur_mask = cv.erode(im_blur_mask,kernel,iterations = 3) + + # feather mask + feather_amt = (3,3) + im_blur_mask = (cv.GaussianBlur(im_blur_mask,feather_amt, 0) > 0) * 1.0 #? + im_blur_mask = cv.GaussianBlur(im_blur_mask,feather_amt, 0) + im_blur_mask = np.clip(im_blur_mask,0.0,1.0) + + # mask p2p fg --> photo bg + im_dull = im_np_256.astype(np.float64) * (1.0 - im_blur_mask) + im_p2p.astype(np.float64) * im_blur_mask + im_dull = im_dull.astype(np.uint8) + + + else: + print('No person. Apply background P2P') + celery_logger.debug('No person. Apply background P2P, uuid: {}'.format(uuid_name)) + im_bg_blur = cv.GaussianBlur(im_np_256,(31,31),0) + im_bg_rag = imx.create_rag_mean(im_bg_blur,compactness=30,n_segments=64) + + # apply gan + im_dull = p2p_objects.create_p2p(im_bg_rag) + + # resize back to full 512px + im_dull_512 = imutils.resize(im_dull,width=512) + + # save dulldream image + fpath = os.path.join(render_dir, uuid_name + '_dull.jpg') + imx.save_np_as_pil(fpath,im_dull_512,quality=95) + files.append({ + 'title': 'Your DullDream', + 'fn': render_uri + uuid_name + '_dull.jpg' + }) + + + # ----------------------------------------------- + # Write data to disk + # ----------------------------------------------- + + data = { + 'uuid': uuid_name, + 'date': str(datetime.datetime.now()), + 'files': files + } + + json_path = os.path.join(json_dir, uuid_name + '.json') + with open(json_path, 'w') as json_file: + json.dump(data, json_file) + + return { + 'percent': 100, + 'state': 'complete', + 'uuid': uuid_name + } + + + + +@celery.task(bind=True) +def blur_task(self, uuid_name, agree, extra): + """Process image and update during""" + celery_logger.debug('process_image_task, uuid: {}'.format(uuid_name)) + + upload_dir, render_dir, json_dir, upload_uri, render_uri = get_paths(agree) + + files = [] + + im = Image.open(os.path.join(upload_dir, uuid_name + '.jpg')).convert('RGB') + im = im.resize((256,256)) + files.append({ + 'title': 'Original image', + 'fn': upload_uri + uuid_name + '.jpg' + }) + + self.update_state( + state = 'PROCESSING', + meta = { + 'percent': 0.25, + 'message': 'Applying blur', + 'uuid': uuid_name + }) + + im_np = utils.ensure_np(im) + im_blur = cv.blur(im_np, (5,5), 1.0) + im_blur_pil = utils.ensure_pil(im_blur) + + fn = uuid_name + '_blur.jpg' + fpath = os.path.join(render_dir, fn) + im_blur_pil.save(fpath, 'JPEG', quality=95) + + files.append({ + 'title': 'Blurred image', + 'fn': render_uri + uuid_name + '_blur.jpg' + }) + + time.sleep(3) + + self.update_state( + state = 'PROCESSING', + meta = { + 'percent': 0.50, + 'message': 'Sleeping for some reason', + 'uuid': uuid_name + }) + time.sleep(2) + + self.update_state( + state = 'PROCESSING', + meta = { + 'percent': 0.75, + 'message': 'Sleeping some more', + 'uuid': uuid_name + }) + time.sleep(2) + + data = { + 'uuid': uuid_name, + 'date': str(datetime.datetime.now()), + 'files': files + } + + json_path = os.path.join(json_dir, uuid_name + '.json') + with open(json_path, 'w') as json_file: + json.dump(data, json_file) + + celery_logger.debug('ok') + + return { + 'percent': 100, + 'state': 'complete', + 'uuid': uuid_name, + } + +@celery.task(bind=True) +def sleep_task(self, uuid_name): + celery_logger.debug('sleep_task'.format(uuid_name)) + msgs = [ + {'msg':'Uploaded OK','time':.1}, + {'msg':'Segmenting Image...','time':2}, + {'msg':'Found: Person, Horse','time':1}, + {'msg':'Creating Pix2Pix','time':2} + ] + for i,m in enumerate(msgs): + percent = int(float(i)/float(len(msgs))*100.0) + self.update_state( + state = 'PROCESSING', + meta = { + 'percent': percent, + 'message': m['msg'], + 'uuid': uuid_name + }) + celery_logger.debug(m['msg']) + time.sleep(m['time']) + + return { + 'percent': 100, + 'state': 'complete', + 'uuid': uuid_name + } + +def make_task_json(): + dropdown = {} + for k,v in task_lookup.items(): + if 'active' not in v or v['active'] is not False: + is_default = 'default' in v and v['default'] is True + task = { + 'name': k, + 'title': v['title'], + 'selected': is_default, + } + dropdown[k] = task + return json.dumps(dropdown) + +# Add all valid tasks to this lookup. +# Set 'active': False to disable a task +# Set 'default': True to define the default task + +task_lookup = { + 'sleep': { + 'title': 'Sleep Test', + 'task': sleep_task, + 'active': False + }, + 'blur': { + 'title': 'Blur', + 'task': blur_task, + 'active': False + }, + 'task_dull': { + 'title': 'DullDream V2', + 'task': task_dull, + 'active': True, + 'default': True + } +} + diff --git a/server/app/main/utils.py b/server/app/main/utils.py new file mode 100644 index 00000000..510e5c23 --- /dev/null +++ b/server/app/main/utils.py @@ -0,0 +1,37 @@ +from flask import current_app as app +from PIL import Image +import numpy as np +import cv2 as cv +import os +from os.path import join + +def ensure_pil(im): + try: + im.verify() + return im + except: + return Image.fromarray(im.astype('uint8'), 'RGB') + +def ensure_np(im): + if type(im) == np.ndarray: + return im + return np.asarray(im, np.uint8) + +def get_recent_uploads(limit=10): + d_uploads = app.config['UPLOADS'] + d_renders = app.config['RENDERS'] + + # list all files in uploads dir + filenames = [s for s in os.listdir(d_uploads) + if os.path.isfile(os.path.join(d_uploads, s))] + # sort upload files by date + filenames.sort(key=lambda s: os.path.getmtime(os.path.join(d_uploads, s)),reverse=True) + basenames = [os.path.splitext(os.path.basename(f))[0] for f in filenames] + basenames = basenames[:limit] + filenames = [f for f in basenames if os.path.isfile(join(d_renders,'{}_dull.jpg'.format(f)))] + + # create list for uploads and renders + uploads = [join('/img/uploads',f) for f in filenames] + renders = [join('/img/renders','{}_dull'.format(f)) for f in filenames] + urls = [join('/d',f) for f in basenames] + return uploads, renders, urls diff --git a/server/app/main/views.py b/server/app/main/views.py new file mode 100644 index 00000000..11a8ca53 --- /dev/null +++ b/server/app/main/views.py @@ -0,0 +1,300 @@ +import os +import uuid +import json +from flask import render_template, redirect, url_for, send_from_directory +from flask import request, make_response, jsonify +from . import main, utils +from .tasks import task_lookup, make_task_json +from PIL import Image, ImageOps +import cv2 as cv + +from .paths import get_paths + +from flask import current_app as app +from werkzeug.utils import secure_filename +import imutils + +# ------------------------------------------------------------ +# Temp: run mask rcnn outside celery +# ------------------------------------------------------------ + +# init image processors +import sys +from .img_proc_config import ImgProcConfig +sys.path.append('/dulldream/src/') +from image_processors.mask_rcnn import MaskRCNN +from utils import imx +from utils import fiox + +img_proc_congif = ImgProcConfig() +mask_rcnn = MaskRCNN(img_proc_congif.mask_rcnn_class_config, + model_path=img_proc_congif.mask_rcnn_model) + +# ------------------------------------------------------------ +# Tasks +# ------------------------------------------------------------ + +@main.route('/status//') +def task_status(task_name, task_id): + """Return celery image processing status""" + if task_name in task_lookup: + task = task_lookup[task_name]['task'].AsyncResult(task_id) + else: + return jsonify({ + 'state': 'error', + 'percent': 100, + 'message': 'Unknown task' + }) + + app.logger.info('task state: {}'.format(task.state)) + if task.state == 'PENDING': + response = { + 'state': task.state, + 'percent': 0, + 'message': 'Pending...' + } + elif task.state != 'FAILURE': + response = { + 'state': task.state, + 'percent': task.info.get('percent', 0), + 'uuid': task.info.get('uuid', 0), + 'message': task.info.get('message', '') + } + if 'result' in task.info: + response['result'] = task.info['result'] + else: + # something went wrong in the background job + response = { + 'state': task.state, + 'percent': 100, + 'message': str(task.info), # this is the exception raised + } + return jsonify(response) + +# ------------------------------------------------------------ +# POST Routes +# ------------------------------------------------------------ + +@main.route('/upload/sleep', methods=['GET', 'POST']) +def sleep_test(): + async_task = task_lookup['sleep']['task'].apply_async(args=['sleep_test']) + task_url = url_for('main.task_status', task_name='sleep', task_id=async_task.id) + return jsonify({ + 'result': True, + 'task_url': task_url, + }) + +@main.route('/upload', methods=['POST']) +def upload(): + + style = request.form['style'] + print('style',style) + if style in task_lookup: + task = task_lookup[style]['task'] + print('task',task) + else: + return jsonify({ + 'result': False, + 'error': 'Unknown task', + }) + + file = request.files['user_image'] + agree = bool(request.form['agree']) + ext = request.form['ext'] + if ext is None: + ext = request.files['ext'] + + uuid_name = str(uuid.uuid4()) + + app.logger.info('[+] style: {}'.format(style)) + app.logger.info('[+] ext: {}'.format(ext)) + app.logger.info('[+] uuid_name: {}'.format(uuid_name)) + app.logger.info('[+] agreed: {}'.format(agree)) + + # convert PNG to JPG + print('[+] Resizing image') + + # LOL MaskRCNN needs to be run outside of the Celery Task + im = Image.open(file.stream).convert('RGB') + im = ImageOps.fit(im,(512,512)) + if agree: + upload_folder = app.config['UPLOADS'] + else: + upload_folder = app.config['UPLOADS_PRIVATE'] + + fpath = os.path.join(upload_folder, uuid_name + '.jpg') + + # Save image to disk + print('[+] Save image to {}'.format(fpath)) + im.save(fpath, 'JPEG', quality=100) + im_pil_256 = im.resize((256,256)) + + print('[+] ensure_np...') + im_np = imx.ensure_np(im_pil_256) + #print('[+] resize np...') + #im_np = imutils.resize(im_np,width=256) + + upload_dir, render_dir, json_dir, upload_uri, render_uri = get_paths(agree) + + print('[+] Run mrcnn...') + try: + result = mask_rcnn.create_segmentations(im_np,concat=True) + except: + print('[-] Error. Could not run mask_rcnn') + result = [] + + if len(result) > 0: + result = result[0] + + # save data, then pass to celery task + print('[+] Save masks') + seg_mask = result['seg_mask'] + fpath_seg_mask = os.path.join(render_dir, uuid_name + '_seg_mask.jpg') + #cv.imwrite(fpath_seg_mask,cv.cvtColor(seg_mask,cv.COLOR_BGR2RGB)) + #seg_mask = seg_mask[:,:,::-1] + seg_mask_pil = imx.ensure_pil(seg_mask) + seg_mask_pil.save(fpath_seg_mask, 'JPEG', quality=100) + + im_mask = result['im_mask'] + fpath_im_mask = os.path.join(render_dir, uuid_name + '_im_mask.jpg') + #im_mask = im_mask[:,:,::-1] + im_mask_pil = imx.ensure_pil(im_mask) + im_mask_pil.save(fpath_im_mask, 'JPEG',quality=100) + #cv.imwrite(fpath_im_mask,cv.cvtColor(im_mask,cv.COLOR_BGR2RGB)) + + celery_result = { + 'score':str(result['score']), + 'name':str(result['name']), + 'class_index':str(result['class_index']), + 'color':str(result['color']), + 'fp_im_mask':fpath_im_mask, + 'fp_seg_mask':fpath_seg_mask, + 'valid':True + } + else: + print('[-] no reults. process background only') + celery_result = { + 'score':None, + 'name':None, + 'class_index':None, + 'color':None, + 'fp_im_mask':None, + 'fp_seg_mask':None, + 'valid':False + } + + print('[+] Start celery') + async_task = task.apply_async(args=[uuid_name, agree, celery_result]) + task_url = url_for('main.task_status', task_name=style, task_id=async_task.id) + + return jsonify({ + 'result': True, + 'task_url': task_url, + 'uuid': uuid_name + }) + + + +# ---------------------------------------------------- +# Fileserver, temp solution +# ---------------------------------------------------- + +@main.route('/img//') +def get_image(imtype,uuid_name): + """Return image files from render or uploads""" + if imtype == 'uploads': + d = app.config['UPLOADS'] + suffix = '' + elif imtype == 'renders': + d = app.config['RENDERS'] + suffix = '' + elif imtype == 'fcn': + d = app.config['RENDERS'] + suffix = '_fcn8' + + fname = uuid_name + suffix + '.jpg' + fpath = os.path.join(d, fname) + + if os.path.isfile(fpath): + return send_from_directory(d,fname) + else: + return send_from_directory('static', 'img/404.jpg') + +# ---------------------------------------------------- +# Deleting images +# ---------------------------------------------------- + +def destroy_data(uuid_name, is_public): + uri_base = app.config['URI_BASE'] + upload_dir, render_dir, json_dir, upload_uri, render_uri = get_paths(is_public) + + json_path = os.path.join(json_dir, uuid_name + '.json') + with open(json_path) as json_file: + data = json.load(json_file) + for f in data['files']: + path = os.path.join(uri_base, f['fn'][1:]) + if os.path.exists(path): + os.remove(path) + os.remove(json_path) + +@main.route('/d//destroy', strict_slashes=False) # public +def route_public_destroy(uuid_name): + destroy_data(uuid_name, True) + return redirect("/", code=302) + +@main.route('/p//destroy', strict_slashes=False) # private +def route_private_destroy(uuid_name): + destroy_data(uuid_name, False) + return redirect("/", code=302) + +# ---------------------------------------------------- +# Static routes +# ---------------------------------------------------- + +# Most of the pages are served with the single page app in index.html: + +task_json = make_task_json() + +@main.route('/', strict_slashes=False) +def index(): + return render_template('index.html', task_json=task_json) + +@main.route('/about', strict_slashes=False) +def about(): + return render_template('index.html', task_json=task_json) + +@main.route('/d/', strict_slashes=False) # public +def route_public(uuid_name): + return render_template('index.html', task_json=task_json) + +@main.route('/p/', strict_slashes=False) # private +def route_private(uuid_name): + return render_template('index.html', task_json=task_json) + +@main.route('/privacy', strict_slashes=False) +def privacy(): + return render_template('index.html', task_json=task_json) + +# Some of the pages have their own static file: + +@main.route('/gallery', strict_slashes = False) +def gallery(): + app.logger.info('access gallery') + uploads, renders, urls = utils.get_recent_uploads(limit=50) + uuids = [os.path.splitext(os.path.basename(f))[0] for f in uploads] + images = [{'upload':u,'render':r, 'url':url} for u,r,url in zip(uploads,renders,urls)] + return render_template('gallery.html',images=images) + +@main.route('/zkm', strict_slashes=False) +def zkm(): + app.logger.info('access ZkM') + return render_template('zkm.html') + +@main.route('/celery', strict_slashes=False) +def celery_route(): + return render_template('celery.html') + +@main.route('/projector', strict_slashes=False) +def projector(): + uploads, renders,urls = utils.get_recent_uploads() + return render_template('projector.html', uploads=uploads, renders=renders) diff --git a/server/app/static/css/bootstrap.min.css b/server/app/static/css/bootstrap.min.css new file mode 100644 index 00000000..ed3905e0 --- /dev/null +++ b/server/app/static/css/bootstrap.min.css @@ -0,0 +1,6 @@ +/*! + * Bootstrap v3.3.7 (http://getbootstrap.com) + * Copyright 2011-2016 Twitter, Inc. + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + *//*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{margin:0;font:inherit;color:inherit}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{padding:.35em .625em .75em;margin:0 2px;border:1px solid silver}legend{padding:0;border:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-spacing:0;border-collapse:collapse}td,th{padding:0}/*! 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Jumbotron */ +.jumbotron { + padding-top: 0px; + padding-bottom: 0px; + margin-bottom: 0px; + color: inherit; +} +.jumbotron{ + background: transparent; + color:black; +} +.jumbotron h1{ + color:#ddd; + margin-bottom:0px; +} +.jumbotron a.btn-primary{ + background:#ddd; + color:#333; +} +.jumbotron a.btn-primary:hover{ + background:#eee; + color:#222; +} +.jumbotron p > a.jcallout{ + color:#eee; + padding-bottom: 3px; + border-bottom:1px dotted; + text-decoration: none; +} +.jumbotron p > a.jcallout:hover{ + color:#fff; + border-bottom:1px solid #ccc; + text-decoration: none; +} +.jumbotron a.btn-default{ + color:#eee; + border:1px solid #eee; + background: transparent; +} +.jumbotron a.btn-default:hover{ + background: #22f; + border:1px solid #ccc; +} +.jumbotron a.btn-default:active{ + color:#eee; + border:1px solid #ccc; +} + +/* Input button override +-------------------------------------------------- */ +/*input[type="file"] { + display: none; +} +input[type="button"] { + display: none; +}*/ +input.hidden_input{ + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; + opacity: 0; +} + +/* Global styles +-------------------------------------------------- */ +h1,h2,h3,h4,h5,h6 { + font-weight: bold; + font-style: italic; + text-align: center; +} +h1 { + font-size:56px; + margin-top: 20px; + margin-bottom: 0; +} +h2 { + font-size:20px; + margin-top: 0; + margin-bottom: 24px; +} +ul { + list-style: none; + margin:0; + padding:0; +} +li { + display: inline-block; +} +img.img_responsive_dull { + max-width: 100%; + height: auto; +} +#photo_area{ + width: 512px; + height: 512px; + max-width: 97vw; + max-height: 97vw; + min-width: 240px; + min-height: 240px; + margin:0 auto; + text-align: center; +} +.dash_border{ + background-color: rgba(255,255,255,.2); + border:1px dashed #000; +} + +label { + display: block; +} + +div.center_inner { + position: relative; + top: 50%; + -webkit-transform: translateY(-50%); + -ms-transform: translateY(-50%); + transform: translateY(-50%); +} +#upload_controls{ + margin-top:25px; + display: none; +} +#restart_btn, #rotate_btn, #upload_btn, #dropdown_btn { + display: inline-block; + margin-left:5px; + margin-right:5px; +} +.custom-file-upload { + display: inline-block; + padding: 6px 12px; + cursor: pointer; +} + +.align_center{ + text-align: center; +} + +ul.action-buttons{ + margin-top: 40px; + list-style: none; + margin-left: 0; + padding-left:0; +} +li { + list-style: none; + margin-left: 0; + padding-left:0; + /*margin-bottom:20px;*/ +} + +.btn { + display: inline-block; + color: #333; + background-color: #fff; + border: 1px solid #adadad; + font-family: Helvetica, sans-serif; + padding: 6px 12px; + margin: 0; + font-size: 14px; + font-weight: 400; + line-height: 1.42857143; + text-align: center; + white-space: nowrap; + vertical-align: middle; + -ms-touch-action: manipulation; + touch-action: manipulation; + cursor: pointer; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + user-select: none; + border-radius: 4px; + text-decoration: none; + transition: all 0.15s; +} +.desktop .btn:hover { + background-color: #fff; +} +.btn.btn-lg { + padding: 10px 16px; + font-size: 18px; + line-height: 1.3333333; + border-radius: 6px; +} +.btn.btn-sm { + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 3px; +} +.btn.btn-important { + border-width: 2px; + border-color: #444; +} +#photo_area { + position: relative; + cursor: pointer; +} +#restart_btn { + position: relative; + cursor: pointer; +} +input[type=file] { + cursor: pointer; + opacity: 0; + position: absolute; + top: 0; left: 0; + width: 100%; height: 100%; +} +.desktop #photo_area .btn { + background: #fff; +} +.desktop #photo_area .btn:hover { + background: #eee; +} +.consent_box { + margin-top: 10px; + font-size: smaller; + color: #444; +} + +/* Intro page +-------------------------------------------------- */ +canvas { + display: block; +} +.photo { + display: none; + width:100%; + height:100%; +} + +/* form visibility */ + +#preloader_anim { + display: none; +} +#about_btn { + margin: 20px 0px 80px 0; +} +#share_btns { + display: none; + margin:20px; +} +.notice { + color: #444; + font-size: small; +} +a.btn-default { + background-color: transparent; +} +a.btn-default:hover { + color: #333; + background-color: #fff; + border-color: #adadad; +} +.debug-view { + margin-bottom: 20px; + font-size:14px; + color:#333; +} +.debug-view img { + margin-bottom:4px; +} +#full_results, #hide_more { + display: none; +} + +select { + display: inline-block; + height: 34px; + padding: 6px 12px; + font-size: 14px; + line-height: 1.428571429; + color: #555; + vertical-align: middle; + background-color: #eee; + background-image: none; + border: 1px solid #bbb; + border-radius: 4px; + transition: all .15s; + cursor: pointer; +} +.desktop select:hover { + background-color: #fff; + cursor: pointer; +} + +/* About +--------------------------------------------------- */ +.modal { + pointer-events: none; + opacity: 0; + width: 100%; + height: 100%; + position: fixed; + top: 0; left: 0; + transition: all 0.2s; +} +.modal.visible { + pointer-events: auto; + opacity: 1; +} +.modal p { + font-size: 16px; + line-height: 24px; +} +.modal .inner { + margin: 10vh auto; + background: rgba(255,255,255,0.5); + padding: 20px 20px 40px 20px; + width: 600px; + max-width: 90vw; +} +.modal .content { + margin-bottom: 20px; +} + +/* Result +--------------------------------------------------- */ +.result_view { + display: none; + text-align: center; +} +.final_result img { + width: 512px; + height: 512px; + border: 1px dashed #000; + margin: 10px; +} +.all_results { + display: none; +} +.all_results div { + margin-bottom: 20px; +} +.all_results img { + width: 384px; + height: 384px; + margin: 10px; +} + +.made_with { + margin-bottom: 10px; +} +#delete_btns { + margin-top: 10px; + font-size: 10px; +} +a#destroy_data { + color: #888; +} +.desktop a#destroy_data:hover { + color: #f00; +} + +/* Footer +--------------------------------------------------- */ +#footer{ + /*background: #ddd;*/ + /*padding: 20px 0;*/ + /*position: fixed;*/ + bottom: 0; + width: 100%; + text-align: center; + padding-top: 40px; + padding-bottom: 20px; +} +#footer ul li a { + font-weight: bold; + text-decoration: none; +} +#footer a { + color:#333; + text-decoration: underline; +} +#footer a:hover { + color:#111; +} + +@media screen and (max-width: 500px) { + .modal { + width: 100vw; + height: 100vh; + display: flex; + align-items: center; + justify-content: center; + } + .modal .inner { + margin: 0; + width: 100vw; + height: 100vh; + max-width: 100vw; + } +} + + +/* Gallery */ + +.gallery-preview-row{ + margin-bottom: 40px +} +.gallery-preview-row img{ + width:100%; + padding:2px; +} + +@media (max-width: 600px) { + #preloader_anim { + position: relative; + top: -50px; + } +} + +/*hide dropdown*/ +#dropdown_btn{ + display: none; +} \ No newline at end of file diff --git a/server/app/static/css/projector.css b/server/app/static/css/projector.css new file mode 100644 index 00000000..401f0dff --- /dev/null +++ b/server/app/static/css/projector.css @@ -0,0 +1,52 @@ +html, body, #wrapper { + height:100%; + width: 100%; + margin: 0; + padding: 0; + border: 0; + background-color: #000; +} +table{ + padding:0; + margin:0; + border-spacing: 0; +} +table td{ + padding:0; + margin:0; +} +#wrapper td { + vertical-align: middle; + text-align: center; +} +#wrapper img{ + margin-top:-350px; + margin-left:-350px; +} +.left{ + background-color: #000; +} +.right{ + background-color: #000;; +} + +#container{ +} +#container-left{ + width:50%; + float:left; + position: relative; +} +#container-right{ + width:50%; + float:right; + position: relative; +} + +.cycle{position:relative;display: none;} +.cycle img{position:absolute;z-index:1} +.cycle img.active{z-index:100} +.cycle img{ + width:700px; + height:700px; +} \ No newline at end of file diff --git a/server/app/static/js/app.js b/server/app/static/js/app.js new file mode 100644 index 00000000..454d5c37 --- /dev/null +++ b/server/app/static/js/app.js @@ -0,0 +1,158 @@ +var app = (function(){ + + var app = {} + + app.init = function(){ + upload.init() + app.bind() + app.build() + app.resize() + app.route() + } + app.bind = function(){ + $(window).on('resize', app.resize) + $(".about_button").on('click', app.about_show) + $(".privacy_button").on('click', app.privacy_show) + $(".modal").on('click', app.modal_hide) + $(".modal .btn").on('click', app.modal_hide) + $(".modal .inner").on('click', preventDefault) + $("#destroy_data").on('click', app.destroyData) + $("#show_all_results").on('click', app.showAllResults) + } + app.build = function(){ + var items = JSON.parse(decodeEntities($("#dropdown_options").html())) + var $dropdown = $("#dropdown") + var options = Object.keys(items).sort().map(key => { + var item = items[key] + var option = document.createElement('option') + option.value = item.name + option.innerHTML = item.title + if (item.selected) option.selected = true + $dropdown.append(option) + }) + var loader = new Image () + loader.src = '/static/img/loader.gif' + } + app.resize = function(){ + var $el = $('#photo_area') + var w = $el.width() + $el.height($el.width()) + } + app.route = function(){ + const path = window.location.pathname.split('/') + path.shift() + switch (path[0]) { + case 'd': + app.processingComplete(path[1], true) // public + break + case 'p': + app.processingComplete(path[1], false) // private + break + case 'about': + app.about_show() + break + case 'privacy': + app.privacy_show() + break + default: + // load index, default state + break + } + } + + /* upload UI changes */ + + app.didPickPhoto = function(){ + $('#upload_controls').fadeIn() + $('#user_photo_canvas').show() + $('#take_photo_btn').hide() + } + app.didClickUpload = function(){ + $('#upload_controls').slideUp('fast') + $('#user_photo_canvas').hide() + $('#preloader_anim').fadeIn('fast') + $('#progress').fadeIn() + } + app.uploadDidComplete = function(){ + $('#preloader_anim').hide() + $('#progress').hide() + } + app.uploadDidComplete = function(){ + // $('#preloader_anim').hide() + // $('#progress').hide() + } + app.updateProgress = function(message, percentage){ + message = message || "Processing..." + percentage = percentage || 0 + $("#progress").html(message) + } + app.processingComplete = function(uuid, is_public){ + $('#preloader_anim').hide() + $('#progress').hide() + // + $("header h2").html("Your dull result") + $(".upload_view").hide() + $(".results_view").show() + var endpoint = is_public ? 'json' : 'json_private' + $.getJSON('/static/media/' + endpoint + '/' + uuid + '.json', function(data){ + console.log(data) + var template = $("#result_template").html() + var final_result = new Image + final_result.src = data.files[data.files.length-1].fn + $(".final_result").empty() + $(".all_results").empty() + $(".final_result").append(final_result) + data.files.forEach(function(file){ + var t = template.replace(/{img}/, file.fn).replace(/{title}/, file.title) + $(".all_results").append(t) + }) + $(".result_view").show() + $(".permalink").attr('href', window.location.href) + }).fail(function(){ + console.log('error fetching json') + window.location.href = '/' + }) + } + var detailed = false + app.showAllResults = function(){ + if (!detailed) { + detailed = true + $(this).html('Hide') + $(".all_results").fadeIn('fast') + } else { + detailed = false + $(this).html('Detailed Analysis') + $(".all_results").slideUp('fast') + } + } + app.destroyData = function(){ + var uuid = window.location.pathname.split('/')[2] + var confirmed = confirm("Do you really want to delete your dull dream?") + if (confirmed) { + $.get( [window.location.pathname, 'destroy'].join('/').replace('//', '/') ).always(function(){ + alert('Dull dream deleted!') + window.location.href = '/' + }) + } + } + + /* modals */ + + app.about_show = function(e){ + e.preventDefault() + $(".about_view").addClass('visible') + } + app.privacy_show = function(e){ + e.preventDefault() + $(".privacy_view").addClass('visible') + } + app.modal_hide = function(e){ + e.preventDefault() + e.stopPropagation() + $(".modal").removeClass('visible') + } + + document.addEventListener('DOMContentLoaded', app.init) + + return app +})() \ No newline at end of file diff --git a/server/app/static/js/upload.js b/server/app/static/js/upload.js new file mode 100644 index 00000000..27437e43 --- /dev/null +++ b/server/app/static/js/upload.js @@ -0,0 +1,319 @@ +var messages = { + is_processing: "Running semantic segmentation...", + upload_failed: "Error attempting to upload the file.", + upload_cancelled: "Upload cancelled or browser dropped connection.", + unable_to_compute: "We're sorry! We were unable to compute your image.", + pending: "Sending to Generative Adversarial Network...", + complete: "Processing complete!", +} + +var upload = (function(){ + var upload = {} + var uploading = false + + var MAX_SIDE = 512 + + upload.init = function(){ + upload.bind() + } + + upload.bind = function(){ + $("input[type=file]").on('change', upload.change) + $("#upload_btn").on('click', upload.go) + document.body.addEventListener("dragover", upload.dragover) + document.body.addEventListener("dragleave", upload.dragover) + document.body.addEventListener("drop", upload.change) + } + + upload.dragover = function(e){ + e.stopPropagation() + e.preventDefault() + } + + upload.change = function(e){ + e.preventDefault() + var files = e.dataTransfer ? e.dataTransfer.files : e.target.files + if (files.length) { + var file = files[files.length - 1] + if (!file.type.match('image.*')) + return + var reader = new FileReader() + reader.onload = onReaderLoad + reader.readAsDataURL(file) + } + function onReaderLoad(e) { + // Don't leak! + reader.onload = null + var img = new Image + img.onload = function(){ + img.onload = null + upload.ready(img) + } + img.src = e.target.result + } + } + + upload.ready = function(img){ + var resized = renderToCanvas(img, { correctOrientation: true }) + var canvas = document.querySelector('#user_photo_canvas') + ctx = canvas.getContext('2d') + ctx.fillStyle = 'black' + ctx.fillRect(0, 0, MAX_SIDE, MAX_SIDE) + var x_offset = (MAX_SIDE - resized.width) / 2 + var y_offset = (MAX_SIDE - resized.height) / 2 + + ctx.drawImage(resized, x_offset, y_offset) + app.didPickPhoto() + } + + upload.go = function(){ + if (uploading) return + uploading = true + app.didClickUpload() + try { + var canvas = document.querySelector('#user_photo_canvas') + var cb = canvas.toBlob(function(blob){ + upload.send(blob) + }, 'image/jpeg', 89) + } catch(e){ + app.updateProgress(messages.unable_to_compute) + } + } + + upload.send = function(blob){ + console.log("sending upload...") + var fd = new FormData() + fd.append('user_image', blob) + fd.append('ext', 'jpg') + fd.append('style', $("#dropdown").val()) + fd.append('agree', $("#agree").val() || 0) + + var xhr = new XMLHttpRequest() + xhr.upload.addEventListener("progress", upload.progress, false) + xhr.addEventListener("load", upload.complete, false) + xhr.addEventListener("error", upload.failed, false) + xhr.addEventListener("abort", upload.canceled, false) + xhr.open("POST", "/upload") + xhr.send(fd) + } + + upload.progress = function (e) { + if (e.lengthComputable) { + var percentComplete = Math.round(e.loaded * 100 / e.total) + if (percentComplete > 99) { + app.updateProgress(messages.is_processing) + } else { + app.updateProgress("Uploaded " + percentComplete.toString() + '%') + } + } + else { + app.updateProgress(messages.unable_to_compute) + } + } + + upload.complete = function (e) { + uploading = false + try { + var data = JSON.parse(e.target.responseText) + } catch (e) { + return app.updateProgress(messages.upload_failed) + } + app.uploadDidComplete() + upload.data = data + upload.task_progress(data.task_url) + } + + upload.failed = function (evt) { + uploading = false + app.updateProgress(messages.upload_failed) + } + + upload.cancelled = function (evt) { + uploading = false + app.updateProgress(messages.upload_cancelled) + } + + upload.task_progress = function (status_url) { + var is_public = $("#agree").val() || 0 + var uuid = upload.data.uuid + $.getJSON(status_url, function(data){ + console.log(data) + var alive = true + var delay = 500 + switch(data.state) { + case 'PENDING': + app.updateProgress(messages.pending) + delay = 2000 + break + case 'PROCESSING': + app.updateProgress(data.message, data.percent) + delay = 500 + break + case 'SUCCESS': + app.updateProgress(messages.complete) + if (is_public) { + history.pushState({}, 'DullDream', '/d/' + uuid) + } else { + history.pushState({}, 'DullDream', '/p/' + uuid) + } + app.processingComplete(uuid, is_public) // truthy if private + alive = false + break + default: + // NB: error state + alive = false + break + } + if (alive) { + setTimeout(function() { + upload.task_progress(status_url) + }, delay) + } + }) + } + + + function renderToCanvas(img, options) { + if (!img) return + options = options || {} + + // Canvas max size for any side + var maxSize = MAX_SIDE + var canvas = document.createElement('canvas') + var ctx = canvas.getContext('2d') + var initialScale = options.scale || 1 + // Scale to needed to constrain canvas to max size + var scale = getScale(img.width * initialScale, img.height * initialScale, maxSize, maxSize, true) + // Still need to apply the user defined scale + scale *= initialScale + var width = canvas.width = Math.round(img.width * scale) + var height = canvas.height = Math.round(img.height * scale) + var correctOrientation = options.correctOrientation + var jpeg = !!img.src.match(/data:image\/jpeg|\.jpeg$|\.jpg$/i) + var hasDataURI = !!img.src.match(/^data:/) + + ctx.save() + + // Can only correct orientation on JPEGs represented as dataURIs + // for the time being + if (correctOrientation && jpeg && hasDataURI) { + applyOrientationCorrection(canvas, ctx, img.src) + } + // Resize image if too large + if (scale !== 1) { + ctx.scale(scale, scale) + } + + ctx.drawImage(img, 0, 0) + ctx.restore() + + return canvas + } + + function getScale(width, height, viewportWidth, viewportHeight, fillViewport) { + fillViewport = !!fillViewport + var landscape = (width / height) > (viewportWidth / viewportHeight) + if (landscape) { + if (fillViewport) { + return fitVertical() + } else if (width > viewportWidth) { + return fitHorizontal() + } + } else { + if (fillViewport) { + return fitHorizontal() + } else if (height > viewportHeight) { + return fitVertical() + } + } + return 1 + + function fitHorizontal() { + return viewportWidth / width + } + + function fitVertical() { + return viewportHeight / height + } + } + + function applyOrientationCorrection(canvas, ctx, uri) { + var orientation = getOrientation(uri) + // Only apply transform if there is some non-normal orientation + if (orientation && orientation !== 1) { + var transform = orientationToTransform[orientation] + var rotation = transform.rotation + var mirror = transform.mirror + var flipAspect = rotation === 90 || rotation === 270 + if (flipAspect) { + // Fancy schmancy swap algo + canvas.width = canvas.height + canvas.width + canvas.height = canvas.width - canvas.height + canvas.width -= canvas.height + } + if (rotation > 0) { + applyRotation(canvas, ctx, rotation) + } + } + } + + function applyRotation(canvas, ctx, deg) { + var radians = deg * (Math.PI / 180) + if (deg === 90) { + ctx.translate(canvas.width, 0) + } else if (deg === 180) { + ctx.translate(canvas.width, canvas.height) + } else if (deg == 270) { + ctx.translate(0, canvas.height) + } + ctx.rotate(radians) + } + + function getOrientation (uri) { + var exif = new ExifReader + // Split off the base64 data + var base64String = uri.split(',')[1] + // Read off first 128KB, which is all we need to + // get the EXIF data + var arr = base64ToUint8Array(base64String, 0, Math.pow(2, 17)) + try { + exif.load(arr.buffer) + return exif.getTagValue('Orientation') + } catch (err) { + return 1 + } + } + + function base64ToUint8Array(string, start, finish) { + var start = start || 0 + var finish = finish || string.length + // atob that shit + var binary = atob(string) + var buffer = new Uint8Array(binary.length) + for (var i = start; i < finish; i++) { + buffer[i] = binary.charCodeAt(i) + } + return buffer + } + + /** + * Mapping from EXIF orientation values to data + * regarding the rotation and mirroring necessary to + * render the canvas correctly + * Derived from: + * http://www.daveperrett.com/articles/2012/07/28/exif-orientation-handling-is-a-ghetto/ + */ + var orientationToTransform = { + 1: { rotation: 0, mirror: false }, + 2: { rotation: 0, mirror: true }, + 3: { rotation: 180, mirror: false }, + 4: { rotation: 180, mirror: true }, + 5: { rotation: 90, mirror: true }, + 6: { rotation: 90, mirror: false }, + 7: { rotation: 270, mirror: true }, + 8: { rotation: 270, mirror: false } + } + + + return upload +})() \ No newline at end of file diff --git a/server/app/static/js/util.js b/server/app/static/js/util.js new file mode 100644 index 00000000..851f634a --- /dev/null +++ b/server/app/static/js/util.js @@ -0,0 +1,32 @@ +var is_iphone = (navigator.userAgent.match(/iPhone/i)) || (navigator.userAgent.match(/iPod/i)) +var is_ipad = (navigator.userAgent.match(/iPad/i)) +var is_android = (navigator.userAgent.match(/Android/i)) +var is_mobile = is_iphone || is_ipad || is_android +var is_desktop = ! is_mobile; + +document.body.parentNode.classList.add(is_desktop ? 'desktop' : 'mobile') + +function preventDefault(e){ + e.preventDefault() + e.stopPropagation() +} + +var decodeEntities = (function() { + // this prevents any overhead from creating the object each time + var element = document.createElement('div'); + + function decodeHTMLEntities (str) { + if(str && typeof str === 'string') { + // strip script/html tags + str = str.replace(/]*>([\S\s]*?)<\/script>/gmi, ''); + str = str.replace(/<\/?\w(?:[^"'>]|"[^"]*"|'[^']*')*>/gmi, ''); + element.innerHTML = str; + str = element.textContent; + element.textContent = ''; + } + + return str; + } + + return decodeHTMLEntities; +})(); \ No newline at end of file diff --git a/server/app/static/js/vendor/ExifReader.js b/server/app/static/js/vendor/ExifReader.js new file mode 100644 index 00000000..a8343ede --- /dev/null +++ b/server/app/static/js/vendor/ExifReader.js @@ -0,0 +1,1363 @@ +// Generated by CoffeeScript 1.6.2 +/* +# ExifReader 1.1.1 +# http://github.com/mattiasw/exifreader +# Copyright (C) 2011-2014 Mattias Wallander +# Licensed under the GNU Lesser General Public License version 3 or later +# See license text at http://www.gnu.org/licenses/lgpl.txt +*/ + + +(function() { + (typeof exports !== "undefined" && exports !== null ? exports : this).ExifReader = (function() { + ExifReader.prototype._MIN_DATA_BUFFER_LENGTH = 2; + + ExifReader.prototype._JPEG_ID_SIZE = 2; + + ExifReader.prototype._JPEG_ID = 0xffd8; + + ExifReader.prototype._APP_MARKER_SIZE = 2; + + ExifReader.prototype._APP0_MARKER = 0xffe0; + + ExifReader.prototype._APP1_MARKER = 0xffe1; + + ExifReader.prototype._APP15_MARKER = 0xffef; + + ExifReader.prototype._APP_ID_OFFSET = 4; + + ExifReader.prototype._BYTES_Exif = 0x45786966; + + ExifReader.prototype._TIFF_HEADER_OFFSET = 10; + + ExifReader.prototype._BYTE_ORDER_BIG_ENDIAN = 0x4949; + + ExifReader.prototype._BYTE_ORDER_LITTLE_ENDIAN = 0x4d4d; + + function ExifReader() { + var _this = this; + + this._getTagValueAt = { + 1: function(offset) { + return _this._getByteAt(offset); + }, + 2: function(offset) { + return _this._getAsciiAt(offset); + }, + 3: function(offset) { + return _this._getShortAt(offset); + }, + 4: function(offset) { + return _this._getLongAt(offset); + }, + 5: function(offset) { + return _this._getRationalAt(offset); + }, + 7: function(offset) { + return _this._getUndefinedAt(offset); + }, + 9: function(offset) { + return _this._getSlongAt(offset); + }, + 10: function(offset) { + return _this._getSrationalAt(offset); + } + }; + this._tiffHeaderOffset = 0; + } + + /* + # Loads all the Exif tags from the specified image file buffer. + # + # data ArrayBuffer Image file data + */ + + + ExifReader.prototype.load = function(data) { + return this.loadView(new DataView(data)); + }; + + /* + # Loads all the Exif tags from the specified image file buffer view. Probably + # used when DataView isn't supported by the browser. + # + # @_dataView DataView Image file data view + */ + + + ExifReader.prototype.loadView = function(_dataView) { + this._dataView = _dataView; + this._tags = {}; + this._checkImageHeader(); + this._readTags(); + return this._dataView = null; + }; + + ExifReader.prototype._checkImageHeader = function() { + if (this._dataView.byteLength < this._MIN_DATA_BUFFER_LENGTH || this._dataView.getUint16(0, false) !== this._JPEG_ID) { + throw new Error('Invalid image format'); + } + this._parseAppMarkers(this._dataView); + if (!this._hasExifData()) { + throw new Error('No Exif data'); + } + }; + + ExifReader.prototype._parseAppMarkers = function(dataView) { + var appMarkerPosition, fieldLength, _results; + + appMarkerPosition = this._JPEG_ID_SIZE; + _results = []; + while (true) { + if (dataView.byteLength < appMarkerPosition + this._APP_ID_OFFSET + 5) { + break; + } + if (this._isApp1ExifMarker(dataView, appMarkerPosition)) { + fieldLength = dataView.getUint16(appMarkerPosition + this._APP_MARKER_SIZE, false); + this._tiffHeaderOffset = appMarkerPosition + this._TIFF_HEADER_OFFSET; + } else if (this._isAppMarker(dataView, appMarkerPosition)) { + fieldLength = dataView.getUint16(appMarkerPosition + this._APP_MARKER_SIZE, false); + } else { + break; + } + _results.push(appMarkerPosition += this._APP_MARKER_SIZE + fieldLength); + } + return _results; + }; + + ExifReader.prototype._isApp1ExifMarker = function(dataView, appMarkerPosition) { + return dataView.getUint16(appMarkerPosition, false) === this._APP1_MARKER && dataView.getUint32(appMarkerPosition + this._APP_ID_OFFSET, false) === this._BYTES_Exif && dataView.getUint8(appMarkerPosition + this._APP_ID_OFFSET + 4, false) === 0x00; + }; + + ExifReader.prototype._isAppMarker = function(dataView, appMarkerPosition) { + var appMarker; + + appMarker = dataView.getUint16(appMarkerPosition, false); + return appMarker >= this._APP0_MARKER && appMarker <= this._APP15_MARKER; + }; + + ExifReader.prototype._hasExifData = function() { + return this._tiffHeaderOffset !== 0; + }; + + ExifReader.prototype._readTags = function() { + this._setByteOrder(); + this._read0thIfd(); + this._readExifIfd(); + this._readGpsIfd(); + return this._readInteroperabilityIfd(); + }; + + ExifReader.prototype._setByteOrder = function() { + if (this._dataView.getUint16(this._tiffHeaderOffset) === this._BYTE_ORDER_BIG_ENDIAN) { + return this._littleEndian = true; + } else if (this._dataView.getUint16(this._tiffHeaderOffset) === this._BYTE_ORDER_LITTLE_ENDIAN) { + return this._littleEndian = false; + } else { + throw new Error('Illegal byte order value. Faulty image.'); + } + }; + + ExifReader.prototype._read0thIfd = function() { + var ifdOffset; + + ifdOffset = this._getIfdOffset(); + return this._readIfd('0th', ifdOffset); + }; + + ExifReader.prototype._getIfdOffset = function() { + return this._tiffHeaderOffset + this._getLongAt(this._tiffHeaderOffset + 4); + }; + + ExifReader.prototype._readExifIfd = function() { + var ifdOffset; + + if (this._tags['Exif IFD Pointer'] != null) { + ifdOffset = this._tiffHeaderOffset + this._tags['Exif IFD Pointer'].value; + return this._readIfd('exif', ifdOffset); + } + }; + + ExifReader.prototype._readGpsIfd = function() { + var ifdOffset; + + if (this._tags['GPS Info IFD Pointer'] != null) { + ifdOffset = this._tiffHeaderOffset + this._tags['GPS Info IFD Pointer'].value; + return this._readIfd('gps', ifdOffset); + } + }; + + ExifReader.prototype._readInteroperabilityIfd = function() { + var ifdOffset; + + if (this._tags['Interoperability IFD Pointer'] != null) { + ifdOffset = this._tiffHeaderOffset + this._tags['Interoperability IFD Pointer'].value; + return this._readIfd('interoperability', ifdOffset); + } + }; + + ExifReader.prototype._readIfd = function(ifdType, offset) { + var fieldIndex, numberOfFields, tag, _i, _results; + + numberOfFields = this._getShortAt(offset); + offset += 2; + _results = []; + for (fieldIndex = _i = 0; 0 <= numberOfFields ? _i < numberOfFields : _i > numberOfFields; fieldIndex = 0 <= numberOfFields ? ++_i : --_i) { + tag = this._readTag(ifdType, offset); + if (tag !== void 0) { + this._tags[tag.name] = { + 'value': tag.value, + 'description': tag.description + }; + } + _results.push(offset += 12); + } + return _results; + }; + + ExifReader.prototype._readTag = function(ifdType, offset) { + var tagCode, tagCount, tagDescription, tagName, tagType, tagValue, tagValueOffset; + + tagCode = this._getShortAt(offset); + tagType = this._getShortAt(offset + 2); + tagCount = this._getLongAt(offset + 4); + if (this._typeSizes[tagType] === void 0) { + return void 0; + } + if (this._typeSizes[tagType] * tagCount <= 4) { + tagValue = this._getTagValue(offset + 8, tagType, tagCount); + } else { + tagValueOffset = this._getLongAt(offset + 8); + tagValue = this._getTagValue(this._tiffHeaderOffset + tagValueOffset, tagType, tagCount); + } + if (tagType === this._tagTypes['ASCII']) { + tagValue = this._splitNullSeparatedAsciiString(tagValue); + } + if (this._tagNames[ifdType][tagCode] != null) { + if ((this._tagNames[ifdType][tagCode]['name'] != null) && (this._tagNames[ifdType][tagCode]['description'] != null)) { + tagName = this._tagNames[ifdType][tagCode]['name']; + tagDescription = this._tagNames[ifdType][tagCode]['description'](tagValue); + } else { + tagName = this._tagNames[ifdType][tagCode]; + if (tagValue instanceof Array) { + tagDescription = tagValue.join(', '); + } else { + tagDescription = tagValue; + } + } + return { + 'name': tagName, + 'value': tagValue, + 'description': tagDescription + }; + } else { + return { + 'name': "undefined-" + tagCode, + 'value': tagValue, + 'description': tagValue + }; + } + }; + + ExifReader.prototype._getTagValue = function(offset, type, count) { + var tagValue, value, valueIndex; + + value = (function() { + var _i, _results; + + _results = []; + for (valueIndex = _i = 0; 0 <= count ? _i < count : _i > count; valueIndex = 0 <= count ? ++_i : --_i) { + tagValue = this._getTagValueAt[type](offset); + offset += this._typeSizes[type]; + _results.push(tagValue); + } + return _results; + }).call(this); + if (value.length === 1) { + value = value[0]; + } else if (type === this._tagTypes['ASCII']) { + value = this._getAsciiValue(value); + } + return value; + }; + + ExifReader.prototype._getAsciiValue = function(charArray) { + var charCode, newCharArray; + + return newCharArray = (function() { + var _i, _len, _results; + + _results = []; + for (_i = 0, _len = charArray.length; _i < _len; _i++) { + charCode = charArray[_i]; + _results.push(String.fromCharCode(charCode)); + } + return _results; + })(); + }; + + ExifReader.prototype._getByteAt = function(offset) { + return this._dataView.getUint8(offset); + }; + + ExifReader.prototype._getAsciiAt = function(offset) { + return this._dataView.getUint8(offset); + }; + + ExifReader.prototype._getShortAt = function(offset) { + return this._dataView.getUint16(offset, this._littleEndian); + }; + + ExifReader.prototype._getLongAt = function(offset) { + return this._dataView.getUint32(offset, this._littleEndian); + }; + + ExifReader.prototype._getRationalAt = function(offset) { + return this._getLongAt(offset) / this._getLongAt(offset + 4); + }; + + ExifReader.prototype._getUndefinedAt = function(offset) { + return this._getByteAt(offset); + }; + + ExifReader.prototype._getSlongAt = function(offset) { + return this._dataView.getInt32(offset, this._littleEndian); + }; + + ExifReader.prototype._getSrationalAt = function(offset) { + return this._getSlongAt(offset) / this._getSlongAt(offset + 4); + }; + + ExifReader.prototype._splitNullSeparatedAsciiString = function(string) { + var character, i, tagValue, _i, _len; + + tagValue = []; + i = 0; + for (_i = 0, _len = string.length; _i < _len; _i++) { + character = string[_i]; + if (character === '\x00') { + i++; + continue; + } + if (tagValue[i] == null) { + tagValue[i] = ''; + } + tagValue[i] += character; + } + return tagValue; + }; + + ExifReader.prototype._typeSizes = { + 1: 1, + 2: 1, + 3: 2, + 4: 4, + 5: 8, + 7: 1, + 9: 4, + 10: 8 + }; + + ExifReader.prototype._tagTypes = { + 'BYTE': 1, + 'ASCII': 2, + 'SHORT': 3, + 'LONG': 4, + 'RATIONAL': 5, + 'UNDEFINED': 7, + 'SLONG': 9, + 'SRATIONAL': 10 + }; + + ExifReader.prototype._tagNames = { + '0th': { + 0x0100: 'ImageWidth', + 0x0101: 'ImageLength', + 0x0102: 'BitsPerSample', + 0x0103: 'Compression', + 0x0106: 'PhotometricInterpretation', + 0x010e: 'ImageDescription', + 0x010f: 'Make', + 0x0110: 'Model', + 0x0111: 'StripOffsets', + 0x0112: { + 'name': 'Orientation', + 'description': function(value) { + switch (value) { + case 1: + return 'top-left'; + case 2: + return 'top-right'; + case 3: + return 'bottom-right'; + case 4: + return 'bottom-left'; + case 5: + return 'left-top'; + case 6: + return 'right-top'; + case 7: + return 'right-bottom'; + case 8: + return 'left-bottom'; + default: + return 'Undefined'; + } + } + }, + 0x0115: 'SamplesPerPixel', + 0x0116: 'RowsPerStrip', + 0x0117: 'StripByteCounts', + 0x011a: 'XResolution', + 0x011b: 'YResolution', + 0x011c: 'PlanarConfiguration', + 0x0128: { + 'name': 'ResolutionUnit', + 'description': function(value) { + switch (value) { + case 2: + return 'inches'; + case 3: + return 'centimeters'; + default: + return 'Unknown'; + } + } + }, + 0x012d: 'TransferFunction', + 0x0131: 'Software', + 0x0132: 'DateTime', + 0x013b: 'Artist', + 0x013e: 'WhitePoint', + 0x013f: 'PrimaryChromaticities', + 0x0201: 'JPEGInterchangeFormat', + 0x0202: 'JPEGInterchangeFormatLength', + 0x0211: 'YCbCrCoefficients', + 0x0212: 'YCbCrSubSampling', + 0x0213: { + 'name': 'YCbCrPositioning', + 'description': function(value) { + switch (value) { + case 1: + return 'centered'; + case 2: + return 'co-sited'; + default: + return 'undefied ' + value; + } + } + }, + 0x0214: 'ReferenceBlackWhite', + 0x8298: { + 'name': 'Copyright', + 'description': function(value) { + return value.join('; '); + } + }, + 0x8769: 'Exif IFD Pointer', + 0x8825: 'GPS Info IFD Pointer' + }, + 'exif': { + 0x829a: 'ExposureTime', + 0x829d: 'FNumber', + 0x8822: { + 'name': 'ExposureProgram', + 'description': function(value) { + switch (value) { + case 0: + return 'Undefined'; + case 1: + return 'Manual'; + case 2: + return 'Normal program'; + case 3: + return 'Aperture priority'; + case 4: + return 'Shutter priority'; + case 5: + return 'Creative program'; + case 6: + return 'Action program'; + case 7: + return 'Portrait mode'; + case 8: + return 'Landscape mode'; + default: + return 'Unknown'; + } + } + }, + 0x8824: 'SpectralSensitivity', + 0x8827: 'ISOSpeedRatings', + 0x8828: { + 'name': 'OECF', + 'description': function(value) { + return '[Raw OECF table data]'; + } + }, + 0x9000: { + 'name': 'ExifVersion', + 'description': function(value) { + var charCode, string, _i, _len; + + string = ''; + for (_i = 0, _len = value.length; _i < _len; _i++) { + charCode = value[_i]; + string += String.fromCharCode(charCode); + } + return string; + } + }, + 0x9003: 'DateTimeOriginal', + 0x9004: 'DateTimeDigitized', + 0x9101: { + 'name': 'ComponentsConfiguration', + 'description': function(value) { + var character, string, _i, _len; + + string = ''; + for (_i = 0, _len = value.length; _i < _len; _i++) { + character = value[_i]; + switch (character) { + case 0x31: + string += 'Y'; + break; + case 0x32: + string += 'Cb'; + break; + case 0x33: + string += 'Cr'; + break; + case 0x34: + string += 'R'; + break; + case 0x35: + string += 'G'; + break; + case 0x36: + string += 'B'; + } + } + return string; + } + }, + 0x9102: 'CompressedBitsPerPixel', + 0x9201: 'ShutterSpeedValue', + 0x9202: 'ApertureValue', + 0x9203: 'BrightnessValue', + 0x9204: 'ExposureBiasValue', + 0x9205: 'MaxApertureValue', + 0x9206: 'SubjectDistance', + 0x9207: { + 'name': 'MeteringMode', + 'description': function(value) { + switch (value) { + case 1: + return 'Average'; + case 2: + return 'CenterWeightedAverage'; + case 3: + return 'Spot'; + case 4: + return 'MultiSpot'; + case 5: + return 'Pattern'; + case 6: + return 'Partial'; + case 255: + return 'Other'; + default: + return 'Unknown'; + } + } + }, + 0x9208: { + 'name': 'LightSource', + 'description': function(value) { + switch (value) { + case 1: + return 'Daylight'; + case 2: + return 'Fluorescent'; + case 3: + return 'Tungsten (incandescent light)'; + case 4: + return 'Flash'; + case 9: + return 'Fine weather'; + case 10: + return 'Cloudy weather'; + case 11: + return 'Shade'; + case 12: + return 'Daylight fluorescent (D 5700 – 7100K)'; + case 13: + return 'Day white fluorescent (N 4600 – 5400K)'; + case 14: + return 'Cool white fluorescent (W 3900 – 4500K)'; + case 15: + return 'White fluorescent (WW 3200 – 3700K)'; + case 17: + return 'Standard light A'; + case 18: + return 'Standard light B'; + case 19: + return 'Standard light C'; + case 20: + return 'D55'; + case 21: + return 'D65'; + case 22: + return 'D75'; + case 23: + return 'D50'; + case 24: + return 'ISO studio tungsten'; + case 255: + return 'Other light source'; + default: + return 'Unknown'; + } + } + }, + 0x9209: { + 'name': 'Flash', + 'description': function(value) { + switch (value) { + case 0x00: + return 'Flash did not fire'; + case 0x01: + return 'Flash fired'; + case 0x05: + return 'Strobe return light not detected'; + case 0x07: + return 'Strobe return light detected'; + case 0x09: + return 'Flash fired, compulsory flash mode'; + case 0x0d: + return 'Flash fired, compulsory flash mode, return light not detected'; + case 0x0f: + return 'Flash fired, compulsory flash mode, return light detected'; + case 0x10: + return 'Flash did not fire, compulsory flash mode'; + case 0x18: + return 'Flash did not fire, auto mode'; + case 0x19: + return 'Flash fired, auto mode'; + case 0x1d: + return 'Flash fired, auto mode, return light not detected'; + case 0x1f: + return 'Flash fired, auto mode, return light detected'; + case 0x20: + return 'No flash function'; + case 0x41: + return 'Flash fired, red-eye reduction mode'; + case 0x45: + return 'Flash fired, red-eye reduction mode, return light not detected'; + case 0x47: + return 'Flash fired, red-eye reduction mode, return light detected'; + case 0x49: + return 'Flash fired, compulsory flash mode, red-eye reduction mode'; + case 0x4d: + return 'Flash fired, compulsory flash mode, red-eye reduction mode, return light not detected'; + case 0x4f: + return 'Flash fired, compulsory flash mode, red-eye reduction mode, return light detected'; + case 0x59: + return 'Flash fired, auto mode, red-eye reduction mode'; + case 0x5d: + return 'Flash fired, auto mode, return light not detected, red-eye reduction mode'; + case 0x5f: + return 'Flash fired, auto mode, return light detected, red-eye reduction mode'; + default: + return 'Unknown'; + } + } + }, + 0x920a: 'FocalLength', + 0x9214: { + 'name': 'SubjectArea', + 'description': function(value) { + switch (value.length) { + case 2: + return "Location; X: " + value[0] + ", Y: " + value[1]; + case 3: + return "Circle; X: " + value[0] + ", Y: " + value[1] + ", diameter: " + value[2]; + case 4: + return "Rectangle; X: " + value[0] + ", Y: " + value[1] + ", width: " + value[2] + ", height: " + value[3]; + default: + return 'Unknown'; + } + } + }, + 0x927c: { + 'name': 'MakerNote', + 'description': function(value) { + return '[Raw maker note data]'; + } + }, + 0x9286: { + 'name': 'UserComment', + 'description': function(value) { + switch (value.slice(0, 8).map(function(charCode) { + return String.fromCharCode(charCode); + }).join('')) { + case 'ASCII\x00\x00\x00': + return value.slice(8, value.length).map(function(charCode) { + return String.fromCharCode(charCode); + }).join(''); + case 'JIS\x00\x00\x00\x00\x00': + return '[JIS encoded text]'; + case 'UNICODE\x00': + return '[Unicode encoded text]'; + case '\x00\x00\x00\x00\x00\x00\x00\x00': + return '[Undefined encoding]'; + } + } + }, + 0x9290: 'SubSecTime', + 0x9291: 'SubSecTimeOriginal', + 0x9292: 'SubSecTimeDigitized', + 0xa000: { + 'name': 'FlashpixVersion', + 'description': function(value) { + var charCode, string, _i, _len; + + string = ''; + for (_i = 0, _len = value.length; _i < _len; _i++) { + charCode = value[_i]; + string += String.fromCharCode(charCode); + } + return string; + } + }, + 0xa001: { + 'name': 'ColorSpace', + 'description': function(value) { + switch (value) { + case 1: + return 'sRGB'; + case 0xffff: + return 'Uncalibrated'; + default: + return 'Unknown'; + } + } + }, + 0xa002: 'PixelXDimension', + 0xa003: 'PixelYDimension', + 0xa004: 'RelatedSoundFile', + 0xa005: 'Interoperability IFD Pointer', + 0xa20b: 'FlashEnergy', + 0xa20c: { + 'name': 'SpatialFrequencyResponse', + 'description': function(value) { + return '[Raw SFR table data]'; + } + }, + 0xa20e: 'FocalPlaneXResolution', + 0xa20f: 'FocalPlaneYResolution', + 0xa210: { + 'name': 'FocalPlaneResolutionUnit', + 'description': function(value) { + switch (value) { + case 2: + return 'inches'; + case 3: + return 'centimeters'; + default: + return 'Unknown'; + } + } + }, + 0xa214: { + 'name': 'SubjectLocation', + 'description': function(value) { + return "X: " + value[0] + ", Y: " + value[1]; + } + }, + 0xa215: 'ExposureIndex', + 0xa217: { + 'name': 'SensingMethod', + 'description': function(value) { + switch (value) { + case 1: + return 'Undefined'; + case 2: + return 'One-chip color area sensor'; + case 3: + return 'Two-chip color area sensor'; + case 4: + return 'Three-chip color area sensor'; + case 5: + return 'Color sequential area sensor'; + case 7: + return 'Trilinear sensor'; + case 8: + return 'Color sequential linear sensor'; + default: + return 'Unknown'; + } + } + }, + 0xa300: { + 'name': 'FileSource', + 'description': function(value) { + switch (value) { + case 3: + return 'DSC'; + default: + return 'Unknown'; + } + } + }, + 0xa301: { + 'name': 'SceneType', + 'description': function(value) { + switch (value) { + case 1: + return 'A directly photographed image'; + default: + return 'Unknown'; + } + } + }, + 0xa302: { + 'name': 'CFAPattern', + 'description': function(value) { + return '[Raw CFA pattern table data]'; + } + }, + 0xa401: { + 'name': 'CustomRendered', + 'description': function(value) { + switch (value) { + case 0: + return 'Normal process'; + case 1: + return 'Custom process'; + default: + return 'Unknown'; + } + } + }, + 0xa402: { + 'name': 'ExposureMode', + 'description': function(value) { + switch (value) { + case 0: + return 'Auto exposure'; + case 1: + return 'Manual exposure'; + case 2: + return 'Auto bracket'; + default: + return 'Unknown'; + } + } + }, + 0xa403: { + 'name': 'WhiteBalance', + 'description': function(value) { + switch (value) { + case 0: + return 'Auto white balance'; + case 1: + return 'Manual white balance'; + default: + return 'Unknown'; + } + } + }, + 0xa404: { + 'name': 'DigitalZoomRatio', + 'description': function(value) { + switch (value) { + case 0: + return 'Digital zoom was not used'; + default: + return value; + } + } + }, + 0xa405: { + 'name': 'FocalLengthIn35mmFilm', + 'description': function(value) { + switch (value) { + case 0: + return 'Unknown'; + default: + return value; + } + } + }, + 0xa406: { + 'name': 'SceneCaptureType', + 'description': function(value) { + switch (value) { + case 0: + return 'Standard'; + case 1: + return 'Landscape'; + case 2: + return 'Portrait'; + case 3: + return 'Night scene'; + default: + return 'Unknown'; + } + } + }, + 0xa407: { + 'name': 'GainControl', + 'description': function(value) { + switch (value) { + case 0: + return 'None'; + case 1: + return 'Low gain up'; + case 2: + return 'High gain up'; + case 3: + return 'Low gain down'; + case 4: + return 'High gain down'; + default: + return 'Unknown'; + } + } + }, + 0xa408: { + 'name': 'Contrast', + 'description': function(value) { + switch (value) { + case 0: + return 'Normal'; + case 1: + return 'Soft'; + case 2: + return 'Hard'; + default: + return 'Unknown'; + } + } + }, + 0xa409: { + 'name': 'Saturation', + 'description': function(value) { + switch (value) { + case 0: + return 'Normal'; + case 1: + return 'Low saturation'; + case 2: + return 'High saturation'; + default: + return 'Unknown'; + } + } + }, + 0xa40a: { + 'name': 'Sharpness', + 'description': function(value) { + switch (value) { + case 0: + return 'Normal'; + case 1: + return 'Soft'; + case 2: + return 'Hard'; + default: + return 'Unknown'; + } + } + }, + 0xa40b: { + 'name': 'DeviceSettingDescription', + 'description': function(value) { + return '[Raw device settings table data]'; + } + }, + 0xa40c: { + 'name': 'SubjectDistanceRange', + 'description': function(value) { + switch (value) { + case 1: + return 'Macro'; + case 2: + return 'Close view'; + case 3: + return 'Distant view'; + default: + return 'Unknown'; + } + } + }, + 0xa420: 'ImageUniqueID' + }, + 'gps': { + 0x0000: { + 'name': 'GPSVersionID', + 'description': function(value) { + var _ref, _ref1; + + if ((value[0] === (_ref = value[1]) && _ref === 2) && (value[2] === (_ref1 = value[3]) && _ref1 === 0)) { + return 'Version 2.2'; + } else { + return 'Unknown'; + } + } + }, + 0x0001: { + 'name': 'GPSLatitudeRef', + 'description': function(value) { + switch (value.join('')) { + case 'N': + return 'North latitude'; + case 'S': + return 'South latitude'; + default: + return 'Unknown'; + } + } + }, + 0x0002: { + 'name': 'GPSLatitude', + 'description': function(value) { + return value[0] + value[1] / 60 + value[2] / 3600; + } + }, + 0x0003: { + 'name': 'GPSLongitudeRef', + 'description': function(value) { + switch (value.join('')) { + case 'E': + return 'East longitude'; + case 'W': + return 'West longitude'; + default: + return 'Unknown'; + } + } + }, + 0x0004: { + 'name': 'GPSLongitude', + 'description': function(value) { + return value[0] + value[1] / 60 + value[2] / 3600; + } + }, + 0x0005: { + 'name': 'GPSAltitudeRef', + 'description': function(value) { + switch (value) { + case 0: + return 'Sea level'; + case 1: + return 'Sea level reference (negative value)'; + default: + return 'Unknown'; + } + } + }, + 0x0006: { + 'name': 'GPSAltitude', + 'description': function(value) { + return value + ' m'; + } + }, + 0x0007: { + 'name': 'GPSTimeStamp', + 'description': function(value) { + var padZero; + + padZero = function(num) { + var i; + + return ((function() { + var _i, _ref, _results; + + _results = []; + for (i = _i = 0, _ref = 2 - ('' + Math.floor(num)).length; 0 <= _ref ? _i < _ref : _i > _ref; i = 0 <= _ref ? ++_i : --_i) { + _results.push('0'); + } + return _results; + })()) + num; + }; + return value.map(padZero).join(':'); + } + }, + 0x0008: 'GPSSatellites', + 0x0009: { + 'name': 'GPSStatus', + 'description': function(value) { + switch (value.join('')) { + case 'A': + return 'Measurement in progress'; + case 'V': + return 'Measurement Interoperability'; + default: + return 'Unknown'; + } + } + }, + 0x000a: { + 'name': 'GPSMeasureMode', + 'description': function(value) { + switch (value.join('')) { + case '2': + return '2-dimensional measurement'; + case '3': + return '3-dimensional measurement'; + default: + return 'Unknown'; + } + } + }, + 0x000b: 'GPSDOP', + 0x000c: { + 'name': 'GPSSpeedRef', + 'description': function(value) { + switch (value.join('')) { + case 'K': + return 'Kilometers per hour'; + case 'M': + return 'Miles per hour'; + case 'N': + return 'Knots'; + default: + return 'Unknown'; + } + } + }, + 0x000d: 'GPSSpeed', + 0x000e: { + 'name': 'GPSTrackRef', + 'description': function(value) { + switch (value.join('')) { + case 'T': + return 'True direction'; + case 'M': + return 'Magnetic direction'; + default: + return 'Unknown'; + } + } + }, + 0x000f: 'GPSTrack', + 0x0010: { + 'name': 'GPSImgDirectionRef', + 'description': function(value) { + switch (value.join('')) { + case 'T': + return 'True direction'; + case 'M': + return 'Magnetic direction'; + default: + return 'Unknown'; + } + } + }, + 0x0011: 'GPSImgDirection', + 0x0012: 'GPSMapDatum', + 0x0013: { + 'name': 'GPSDestLatitudeRef', + 'description': function(value) { + switch (value.join('')) { + case 'N': + return 'North latitude'; + case 'S': + return 'South latitude'; + default: + return 'Unknown'; + } + } + }, + 0x0014: { + 'name': 'GPSDestLatitude', + 'description': function(value) { + return value[0] + value[1] / 60 + value[2] / 3600; + } + }, + 0x0015: { + 'name': 'GPSDestLongitudeRef', + 'description': function(value) { + switch (value.join('')) { + case 'E': + return 'East longitude'; + case 'W': + return 'West longitude'; + default: + return 'Unknown'; + } + } + }, + 0x0016: { + 'name': 'GPSDestLongitude', + 'description': function(value) { + return value[0] + value[1] / 60 + value[2] / 3600; + } + }, + 0x0017: { + 'name': 'GPSDestBearingRef', + 'description': function(value) { + switch (value.join('')) { + case 'T': + return 'True direction'; + case 'M': + return 'Magnetic direction'; + default: + return 'Unknown'; + } + } + }, + 0x0018: 'GPSDestBearing', + 0x0019: { + 'name': 'GPSDestDistanceRef', + 'description': function(value) { + switch (value.join('')) { + case 'K': + return 'Kilometers'; + case 'M': + return 'Miles'; + case 'N': + return 'Knots'; + default: + return 'Unknown'; + } + } + }, + 0x001a: 'GPSDestDistance', + 0x001b: { + 'name': 'GPSProcessingMethod', + 'description': function(value) { + if (value === 0) { + return 'Undefined'; + } else { + switch (value.slice(0, 8).map(function(charCode) { + return String.fromCharCode(charCode); + }).join('')) { + case 'ASCII\x00\x00\x00': + return value.slice(8, value.length).map(function(charCode) { + return String.fromCharCode(charCode); + }).join(''); + case 'JIS\x00\x00\x00\x00\x00': + return '[JIS encoded text]'; + case 'UNICODE\x00': + return '[Unicode encoded text]'; + case '\x00\x00\x00\x00\x00\x00\x00\x00': + return '[Undefined encoding]'; + } + } + } + }, + 0x001c: { + 'name': 'GPSAreaInformation', + 'description': function(value) { + if (value === 0) { + return 'Undefined'; + } else { + switch (value.slice(0, 8).map(function(charCode) { + return String.fromCharCode(charCode); + }).join('')) { + case 'ASCII\x00\x00\x00': + return value.slice(8, value.length).map(function(charCode) { + return String.fromCharCode(charCode); + }).join(''); + case 'JIS\x00\x00\x00\x00\x00': + return '[JIS encoded text]'; + case 'UNICODE\x00': + return '[Unicode encoded text]'; + case '\x00\x00\x00\x00\x00\x00\x00\x00': + return '[Undefined encoding]'; + } + } + } + }, + 0x001d: 'GPSDateStamp', + 0x001e: { + 'name': 'GPSDifferential', + 'description': function(value) { + switch (value) { + case 0: + return 'Measurement without differential correction'; + case 1: + return 'Differential correction applied'; + default: + return 'Unknown'; + } + } + } + }, + 'interoperability': { + 0x0001: 'InteroperabilityIndex', + 0x0002: 'UnknownInteroperabilityTag0x0002', + 0x1001: 'UnknownInteroperabilityTag0x1001', + 0x1002: 'UnknownInteroperabilityTag0x1002' + } + }; + + /* + # Gets the image's value of the tag with the given name. + # + # name string The name of the tag to get the value of + # + # Returns the value of the tag with the given name if it exists, + # otherwise throws "Undefined". + */ + + + ExifReader.prototype.getTagValue = function(name) { + if (this._tags[name] != null) { + return this._tags[name].value; + } else { + return void 0; + } + }; + + /* + # Gets the image's description of the tag with the given name. + # + # name string The name of the tag to get the description of + # + # Returns the description of the tag with the given name if it exists, + # otherwise throws "Undefined". + */ + + + ExifReader.prototype.getTagDescription = function(name) { + if (this._tags[name] != null) { + return this._tags[name].description; + } else { + return void 0; + } + }; + + /* + # Gets all the image's tags. + # + # Returns the image's tags as an associative array: name -> description. + */ + + + ExifReader.prototype.getAllTags = function() { + return this._tags; + }; + + /* + # Delete a tag. + # + # name string The name of the tag to delete + # + # Delete the tag with the given name. Can be used to lower memory usage. + # E.g., the MakerNote tag can be really large. + */ + + + ExifReader.prototype.deleteTag = function(name) { + return delete this._tags[name]; + }; + + return ExifReader; + + })(); + +}).call(this); diff --git a/server/app/static/js/vendor/canvas-to-blob.js b/server/app/static/js/vendor/canvas-to-blob.js new file mode 100644 index 00000000..32913667 --- /dev/null +++ b/server/app/static/js/vendor/canvas-to-blob.js @@ -0,0 +1,111 @@ +/* + * JavaScript Canvas to Blob + * https://github.com/blueimp/JavaScript-Canvas-to-Blob + * + * Copyright 2012, Sebastian Tschan + * https://blueimp.net + * + * Licensed under the MIT license: + * http://www.opensource.org/licenses/MIT + * + * Based on stackoverflow user Stoive's code snippet: + * http://stackoverflow.com/q/4998908 + */ + +/* global atob, Blob, define */ + +;(function (window) { + 'use strict' + + var CanvasPrototype = window.HTMLCanvasElement && + window.HTMLCanvasElement.prototype + var hasBlobConstructor = window.Blob && (function () { + try { + return Boolean(new Blob()) + } catch (e) { + return false + } + }()) + var hasArrayBufferViewSupport = hasBlobConstructor && window.Uint8Array && + (function () { + try { + return new Blob([new Uint8Array(100)]).size === 100 + } catch (e) { + return false + } + }()) + var BlobBuilder = window.BlobBuilder || window.WebKitBlobBuilder || + window.MozBlobBuilder || window.MSBlobBuilder + var dataURIPattern = /^data:((.*?)(;charset=.*?)?)(;base64)?,/ + var dataURLtoBlob = (hasBlobConstructor || BlobBuilder) && window.atob && + window.ArrayBuffer && window.Uint8Array && + function (dataURI) { + var matches, + mediaType, + isBase64, + dataString, + byteString, + arrayBuffer, + intArray, + i, + bb + // Parse the dataURI components as per RFC 2397 + matches = dataURI.match(dataURIPattern) + if (!matches) { + throw new Error('invalid data URI') + } + // Default to text/plain;charset=US-ASCII + mediaType = matches[2] + ? matches[1] + : 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function (callback, type, quality) { + if (quality && CanvasPrototype.toDataURL && dataURLtoBlob) { + callback(dataURLtoBlob(this.toDataURL(type, quality))) + } else { + callback(this.mozGetAsFile('blob', type)) + } + } + } else if (CanvasPrototype.toDataURL && dataURLtoBlob) { + CanvasPrototype.toBlob = function (callback, type, quality) { + callback(dataURLtoBlob(this.toDataURL(type, quality))) + } + } + } + if (typeof define === 'function' && define.amd) { + define(function () { + return dataURLtoBlob + }) + } else if (typeof module === 'object' && module.exports) { + module.exports = dataURLtoBlob + } else { + window.dataURLtoBlob = dataURLtoBlob + } +}(window)) diff --git a/server/app/static/js/vendor/jquery-3.3.1.min.js b/server/app/static/js/vendor/jquery-3.3.1.min.js new file mode 100644 index 00000000..4d9b3a25 --- /dev/null +++ b/server/app/static/js/vendor/jquery-3.3.1.min.js @@ -0,0 +1,2 @@ +/*! jQuery v3.3.1 | (c) JS Foundation and other contributors | jquery.org/license 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    DullDream

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    + DullDream™ by DullTech™ is a series of experiments appropriating neural network image recognition technology to make visual representation less interesting. +

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    + Can machine learning help us desensitize? Our impactful lives are clogging up social media feeds with unique filter settings, leaving us nostalgic for a vanilla future. Can machine learning help us achieve this? Take the excitement out of our lives, prepare us for a time where we will all have to be the same, have the same values and culture? Painting a future where the Dull is no longer a dream but a nightmare? +

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    + DullDream™ (version 2) was developed for the OpenCodes exhibition at ZKM. It based on the original DullDream™ (version 1), developed for Transmediale 2017 - Ever Elusive by Constant Dullaart in collaboration with Adam Harvey. DullDream (V2) has been generously made possible by support from ZKM. +

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    + + + + + + + + + + + + + + \ No newline at end of file diff --git a/server/celery_worker.py b/server/celery_worker.py new file mode 100644 index 00000000..1545a884 --- /dev/null +++ b/server/celery_worker.py @@ -0,0 +1,7 @@ +#!/usr/bin/env python +import os +from app.basemodels import celery +from app import create_app + +app = create_app(os.getenv('FLASK_CONFIG') or 'default') +app.app_context().push() diff --git a/server/config.py b/server/config.py new file mode 100644 index 00000000..5042efb6 --- /dev/null +++ b/server/config.py @@ -0,0 +1,78 @@ +# -*- coding: utf-8 -*- +"""Application configuration.""" +import os +from os.path import join +basedir = os.path.abspath(os.path.dirname(__file__)) + +class Config(object): + """Base configuration.""" + + #SECRET_KEY = os.environ.get('MYFLASKAPP_SECRET', 'secret-key') # TODO: Change me + APP_DIR = os.path.abspath(os.path.dirname(__file__)) # This directory + PROJECT_ROOT = os.path.abspath(os.path.join(APP_DIR, os.pardir)) + #BCRYPT_LOG_ROUNDS = 13 + DEBUG_TB_ENABLED = False # Disable Debug toolbar + #DEBUG_TB_INTERCEPT_REDIRECTS = False + CACHE_TYPE = 'simple' # Can be "memcached", "redis", etc. + HOST = '0.0.0.0' + FLASK_DEBUG_DISABLE_STRICT = True + #WTF_CSRF_SECRET_KEY = '94ksadkf49DKEDFJ.&' + BOOTSTRAP_GOOGLE_ANALYTICS_ACCOUNT = None + BOOTSTRAP_SERVE_LOCAL = True + SECRET_KEY = os.environ.get('SECRET_KEY') or '94ksadkf49DKEDFJ.&' + CELERY_BROKER_URL = 'redis://localhost:6379/0' + CELERY_RESULT_BACKEND = 'redis://localhost:6379/0' + + FLASKY_SLOW_DB_QUERY_TIME=0.5 + + @staticmethod + def init_app(app): + pass + + +class DevelopmentConfig(Config): + """Development configuration.""" + ENV = 'dev' + DEBUG = True + +class ProductionConfig(Config): + ENV = 'production' + DEBUG = False + # @classmethod + # def init_app(cls, app): + # Config.init_app(app) + # # import logging + # # app.logger.addHandler(mail_handler) + + +class DigitalOceanConfig(Config): + """Production configuration.""" + def init_app(cls, app): + ProductionConfig.init_app(app) + # log to syslog + import logging + from logging.handlers import SysLogHandler + syslog_handler = SysLogHandler() + syslog_handler.setLevel(logging.WARNING) + app.logger.addHandler(syslog_handler) + + +class UnixConfig(ProductionConfig): + @classmethod + def init_app(cls, app): + ProductionConfig.init_app(app) + + # log to syslog + import logging + from logging.handlers import SysLogHandler + syslog_handler = SysLogHandler() + syslog_handler.setLevel(logging.WARNING) + app.logger.addHandler(syslog_handler) + + +config = { + 'development': DevelopmentConfig, + 'production': ProductionConfig, + 'digitalocean': DigitalOceanConfig, + 'default': DevelopmentConfig +} diff --git a/server/deploy.sh b/server/deploy.sh new file mode 100755 index 00000000..c2594cab --- /dev/null +++ b/server/deploy.sh @@ -0,0 +1,20 @@ +#!/bin/bash + +d_src="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"/ +d_dst=/home/dull/dulldream/www/dulldream_xyz +ssh_alis=dulldream-root +#DOCKER_DIR_P1="$(dirname "$CWD")" + +echo "Syncing DullDream LOCAL to -> REMOTE" +echo $d_src +echo $d_dst + + +#rsync -a -e 'ssh' \ +rsync -r -v --progress -e 'ssh' \ + --delete \ + --exclude='.DS_Store' \ + --exclude='deploy.sh' \ + $d_src $ssh_alis:$d_dst + +echo "Synced :)" \ No newline at end of file diff --git a/server/dulldream.wsgi.py b/server/dulldream.wsgi.py new file mode 100644 index 00000000..ed992528 --- /dev/null +++ b/server/dulldream.wsgi.py @@ -0,0 +1,13 @@ +#!/usr/bin/python +import sys +sys.path.insert(0, "/home/dulldream/dulldream/www/dulldream_xyz/") + +from app import create_app + +import logging +logging.basicConfig(stream=sys.stderr) +# logging.basicConfig(filename='error.log',level=logging.DEBUG) + +application = create_app('production') +application.secret_key = 'curlier6982!1decentralizationists' + diff --git a/server/run-celery.sh b/server/run-celery.sh new file mode 100755 index 00000000..e38174fa --- /dev/null +++ b/server/run-celery.sh @@ -0,0 +1,3 @@ +#!/bin/bash +celery worker -A celery_worker.celery --loglevel=info + diff --git a/server/run-dev.sh b/server/run-dev.sh new file mode 100755 index 00000000..b4eb2a61 --- /dev/null +++ b/server/run-dev.sh @@ -0,0 +1 @@ +FLASK_CONFIG=development python run.py \ No newline at end of file diff --git a/server/run-gunicorn.sh b/server/run-gunicorn.sh new file mode 100755 index 00000000..64debabd --- /dev/null +++ b/server/run-gunicorn.sh @@ -0,0 +1,2 @@ +#!/bin/bash +gunicorn -w 1 -b 0.0.0.0:8000 run:app diff --git a/server/run-redis.sh b/server/run-redis.sh new file mode 100755 index 00000000..e9ceb845 --- /dev/null +++ b/server/run-redis.sh @@ -0,0 +1,2 @@ +#!/bin/bash +/usr/local/bin/redis-server /etc/redis/redis.conf diff --git a/server/run.py b/server/run.py new file mode 100644 index 00000000..c4c3e8d7 --- /dev/null +++ b/server/run.py @@ -0,0 +1,12 @@ +#!/usr/bin/python3 +import os +from flask import Flask +from app import create_app + +app = create_app(os.getenv('FLASK_CONFIG') or 'default') +import logging +logging.basicConfig(filename='error.log',level=logging.DEBUG) + +if __name__ == '__main__': + app.run(host='0.0.0.0',debug=False,threaded=False,port=8000) + pass diff --git a/site/assets/js/vendor/oktween.js b/site/assets/js/vendor/oktween.js new file mode 100644 index 00000000..7ecf62fb --- /dev/null +++ b/site/assets/js/vendor/oktween.js @@ -0,0 +1,159 @@ +/* + oktween.add({ + obj: el.style, + units: "px", + from: { left: 0 }, + to: { left: 100 }, + duration: 1000, + easing: oktween.easing.circ_out, + update: function(obj){ + console.log(obj.left) + } + finished: function(){ + console.log("done") + } + }) +*/ + +var oktween = (function(){ + var oktween = {} + var tweens = oktween.tweens = [] + var last_t = 0 + var id = 0 + oktween.speed = 1 + oktween.add = function(tween){ + tween.id = id++ + tween.obj = tween.obj || {} + if (tween.easing) { + if (typeof tween.easing == "string") { + tween.easing = oktween.easing[tween.easing] + } + } + else { + tween.easing = oktween.easing.linear + } + if (! ('from' in tween) && ! ('to' in tween)) { + tween.keys = [] + } + else if (! ('from' in tween) ) { + tween.from = {} + tween.keys = Object.keys(tween.to) + tween.keys.forEach(function(prop){ + tween.from[prop] = parseFloat(tween.obj[prop]) + }) + } + else { + tween.keys = Object.keys(tween.from) + } + tween.delay = tween.delay || 0 + tween.start = last_t + tween.delay + tween.done = false + tween.after = tween.after || [] + tween.then = function(fn){ tween.after.push(fn); return tween } + tween.tick = 0 + tween.skip = tween.skip || 1 + tween.dt = 0 + tweens.push(tween) + return tween + } + oktween.update = function(t) { + requestAnimationFrame(oktween.update) + last_t = t * oktween.speed + if (tweens.length == 0) return + var done = false + tweens.forEach(function(tween, i){ + var dt = Math.min(1.0, (t - tween.start) / tween.duration) + tween.tick++ + if (dt < 0 || (dt < 1 && (tween.tick % tween.skip != 0))) return + var ddt = tween.dt = tween.easing(dt) + tween.keys.forEach(function(prop){ + val = lerp( ddt, tween.from[prop], tween.to[prop] ) + if (tween.round) val = Math.round(val) + if (tween.units) val = (Math.round(val)) + tween.units + tween.obj[prop] = val + }) + tween.update && tween.update(tween.obj, dt) + if (dt == 1) { + tween.finished && tween.finished(tween) + if (tween.after.length) { + var twn = tween.after.shift() + twn.obj = twn.obj || tween.obj + twn.after = tween.after + oktween.add(twn) + } + if (tween.loop) { + tween.start = t + tween.delay + } + else { + done = tween.done = true + } + } + }) + if (done) { + tweens = tweens.filter(function(tween){ return ! tween.done }) + } + } + function lerp(n,a,b){ return (b-a)*n+a } + + requestAnimationFrame(oktween.update) + + oktween.easing = { + linear: function(t){ + return t + }, + circ_out: function(t) { + return Math.sqrt(1 - (t = t - 1) * t) + }, + circ_in: function(t){ + return -(Math.sqrt(1 - (t * t)) - 1) + }, + circ_in_out: function(t) { + return ((t*=2) < 1) ? -0.5 * (Math.sqrt(1 - t * t) - 1) : 0.5 * (Math.sqrt(1 - (t -= 2) * t) + 1) + }, + quad_in: function(n){ + return Math.pow(n, 2) + }, + quad_out: function(n){ + return n * (n - 2) * -1 + }, + quad_in_out: function(n){ + n = n * 2 + if(n < 1){ return Math.pow(n, 2) / 2 } + return -1 * ((--n) * (n - 2) - 1) / 2 + }, + cubic_bezier: function (mX1, mY1, mX2, mY2) { + function A(aA1, aA2) { return 1.0 - 3.0 * aA2 + 3.0 * aA1; } + function B(aA1, aA2) { return 3.0 * aA2 - 6.0 * aA1; } + function C(aA1) { return 3.0 * aA1; } + + // Returns x(t) given t, x1, and x2, or y(t) given t, y1, and y2. + function CalcBezier(aT, aA1, aA2) { + return ((A(aA1, aA2)*aT + B(aA1, aA2))*aT + C(aA1))*aT; + } + + // Returns dx/dt given t, x1, and x2, or dy/dt given t, y1, and y2. + function GetSlope(aT, aA1, aA2) { + return 3.0 * A(aA1, aA2)*aT*aT + 2.0 * B(aA1, aA2) * aT + C(aA1); + } + + function GetTForX(aX) { + // Newton raphson iteration + var aGuessT = aX; + for (var i = 0; i < 10; ++i) { + var currentSlope = GetSlope(aGuessT, mX1, mX2); + if (currentSlope == 0.0) return aGuessT; + var currentX = CalcBezier(aGuessT, mX1, mX2) - aX; + aGuessT -= currentX / currentSlope; + } + return aGuessT; + } + + return function(aX) { + if (mX1 == mY1 && mX2 == mY2) return aX; // linear + return CalcBezier(aX, mY1, mY2); + } + } + } + + return oktween +})() -- cgit v1.2.3-70-g09d2