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February 18, 2017 20:06
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" /> | |
</body> | |
<script> | |
/* | |
* glfx.js | |
* http://evanw.github.com/glfx.js/ | |
* | |
* Copyright 2011 Evan Wallace | |
* Released under the MIT license | |
*/ | |
var fx=function(){function q(a,d,c){return Math.max(a,Math.min(d,c))}function w(b){return{_:b,loadContentsOf:function(b){a=this._.gl;this._.loadContentsOf(b)},destroy:function(){a=this._.gl;this._.destroy()}}}function A(a){return w(r.fromElement(a))}function B(b,d){var c=a.UNSIGNED_BYTE;if(a.getExtension("OES_texture_float")&&a.getExtension("OES_texture_float_linear")){var e=new r(100,100,a.RGBA,a.FLOAT);try{e.drawTo(function(){c=a.FLOAT})}catch(g){}e.destroy()}this._.texture&&this._.texture.destroy(); | |
this._.spareTexture&&this._.spareTexture.destroy();this.width=b;this.height=d;this._.texture=new r(b,d,a.RGBA,c);this._.spareTexture=new r(b,d,a.RGBA,c);this._.extraTexture=this._.extraTexture||new r(0,0,a.RGBA,c);this._.flippedShader=this._.flippedShader||new h(null,"uniform sampler2D texture;varying vec2 texCoord;void main(){gl_FragColor=texture2D(texture,vec2(texCoord.x,1.0-texCoord.y));}");this._.isInitialized=!0}function C(a,d,c){this._.isInitialized&& | |
a._.width==this.width&&a._.height==this.height||B.call(this,d?d:a._.width,c?c:a._.height);a._.use();this._.texture.drawTo(function(){h.getDefaultShader().drawRect()});return this}function D(){this._.texture.use();this._.flippedShader.drawRect();return this}function f(a,d,c,e){(c||this._.texture).use();this._.spareTexture.drawTo(function(){a.uniforms(d).drawRect()});this._.spareTexture.swapWith(e||this._.texture)}function E(a){a.parentNode.insertBefore(this,a);a.parentNode.removeChild(a);return this} | |
function F(){var b=new r(this._.texture.width,this._.texture.height,a.RGBA,a.UNSIGNED_BYTE);this._.texture.use();b.drawTo(function(){h.getDefaultShader().drawRect()});return w(b)}function G(){var b=this._.texture.width,d=this._.texture.height,c=new Uint8Array(4*b*d);this._.texture.drawTo(function(){a.readPixels(0,0,b,d,a.RGBA,a.UNSIGNED_BYTE,c)});return c}function k(b){return function(){a=this._.gl;return b.apply(this,arguments)}}function x(a,d,c,e,g,l,n,p){var m=c-g,h=e-l,f=n-g,k=p-l;g=a-c+g-n;l= | |
d-e+l-p;var q=m*k-f*h,f=(g*k-f*l)/q,m=(m*l-g*h)/q;return[c-a+f*c,e-d+f*e,f,n-a+m*n,p-d+m*p,m,a,d,1]}function y(a){var d=a[0],c=a[1],e=a[2],g=a[3],l=a[4],n=a[5],p=a[6],m=a[7];a=a[8];var f=d*l*a-d*n*m-c*g*a+c*n*p+e*g*m-e*l*p;return[(l*a-n*m)/f,(e*m-c*a)/f,(c*n-e*l)/f,(n*p-g*a)/f,(d*a-e*p)/f,(e*g-d*n)/f,(g*m-l*p)/f,(c*p-d*m)/f,(d*l-c*g)/f]}function z(a){var d=a.length;this.xa=[];this.ya=[];this.u=[];this.y2=[];a.sort(function(a,b){return a[0]-b[0]});for(var c=0;c<d;c++)this.xa.push(a[c][0]),this.ya.push(a[c][1]); | |
this.u[0]=0;this.y2[0]=0;for(c=1;c<d-1;++c){a=this.xa[c+1]-this.xa[c-1];var e=(this.xa[c]-this.xa[c-1])/a,g=e*this.y2[c-1]+2;this.y2[c]=(e-1)/g;this.u[c]=(6*((this.ya[c+1]-this.ya[c])/(this.xa[c+1]-this.xa[c])-(this.ya[c]-this.ya[c-1])/(this.xa[c]-this.xa[c-1]))/a-e*this.u[c-1])/g}this.y2[d-1]=0;for(c=d-2;0<=c;--c)this.y2[c]=this.y2[c]*this.y2[c+1]+this.u[c]}function u(a,d){return new h(null,a+"uniform sampler2D texture;uniform vec2 texSize;varying vec2 texCoord;void main(){vec2 coord=texCoord*texSize;"+ | |
d+"gl_FragColor=texture2D(texture,coord/texSize);vec2 clampedCoord=clamp(coord,vec2(0.0),texSize);if(coord!=clampedCoord){gl_FragColor.a*=max(0.0,1.0-length(coord-clampedCoord));}}")}function H(b,d){a.brightnessContrast=a.brightnessContrast||new h(null,"uniform sampler2D texture;uniform float brightness;uniform float contrast;varying vec2 texCoord;void main(){vec4 color=texture2D(texture,texCoord);color.rgb+=brightness;if(contrast>0.0){color.rgb=(color.rgb-0.5)/(1.0-contrast)+0.5;}else{color.rgb=(color.rgb-0.5)*(1.0+contrast)+0.5;}gl_FragColor=color;}"); | |
f.call(this,a.brightnessContrast,{brightness:q(-1,b,1),contrast:q(-1,d,1)});return this}function t(a){a=new z(a);for(var d=[],c=0;256>c;c++)d.push(q(0,Math.floor(256*a.interpolate(c/255)),255));return d}function I(b,d,c){b=t(b);1==arguments.length?d=c=b:(d=t(d),c=t(c));for(var e=[],g=0;256>g;g++)e.splice(e.length,0,b[g],d[g],c[g],255);this._.extraTexture.initFromBytes(256,1,e);this._.extraTexture.use(1);a.curves=a.curves||new h(null,"uniform sampler2D texture;uniform sampler2D map;varying vec2 texCoord;void main(){vec4 color=texture2D(texture,texCoord);color.r=texture2D(map,vec2(color.r)).r;color.g=texture2D(map,vec2(color.g)).g;color.b=texture2D(map,vec2(color.b)).b;gl_FragColor=color;}"); | |
a.curves.textures({map:1});f.call(this,a.curves,{});return this}function J(b){a.denoise=a.denoise||new h(null,"uniform sampler2D texture;uniform float exponent;uniform float strength;uniform vec2 texSize;varying vec2 texCoord;void main(){vec4 center=texture2D(texture,texCoord);vec4 color=vec4(0.0);float total=0.0;for(float x=-4.0;x<=4.0;x+=1.0){for(float y=-4.0;y<=4.0;y+=1.0){vec4 sample=texture2D(texture,texCoord+vec2(x,y)/texSize);float weight=1.0-abs(dot(sample.rgb-center.rgb,vec3(0.25)));weight=pow(weight,exponent);color+=sample*weight;total+=weight;}}gl_FragColor=color/total;}"); | |
for(var d=0;2>d;d++)f.call(this,a.denoise,{exponent:Math.max(0,b),texSize:[this.width,this.height]});return this}function K(b,d){a.hueSaturation=a.hueSaturation||new h(null,"uniform sampler2D texture;uniform float hue;uniform float saturation;varying vec2 texCoord;void main(){vec4 color=texture2D(texture,texCoord);float angle=hue*3.14159265;float s=sin(angle),c=cos(angle);vec3 weights=(vec3(2.0*c,-sqrt(3.0)*s-c,sqrt(3.0)*s-c)+1.0)/3.0;float len=length(color.rgb);color.rgb=vec3(dot(color.rgb,weights.xyz),dot(color.rgb,weights.zxy),dot(color.rgb,weights.yzx));float average=(color.r+color.g+color.b)/3.0;if(saturation>0.0){color.rgb+=(average-color.rgb)*(1.0-1.0/(1.001-saturation));}else{color.rgb+=(average-color.rgb)*(-saturation);}gl_FragColor=color;}"); | |
f.call(this,a.hueSaturation,{hue:q(-1,b,1),saturation:q(-1,d,1)});return this}function L(b){a.noise=a.noise||new h(null,"uniform sampler2D texture;uniform float amount;varying vec2 texCoord;float rand(vec2 co){return fract(sin(dot(co.xy,vec2(12.9898,78.233)))*43758.5453);}void main(){vec4 color=texture2D(texture,texCoord);float diff=(rand(texCoord)-0.5)*amount;color.r+=diff;color.g+=diff;color.b+=diff;gl_FragColor=color;}"); | |
f.call(this,a.noise,{amount:q(0,b,1)});return this}function M(b){a.sepia=a.sepia||new h(null,"uniform sampler2D texture;uniform float amount;varying vec2 texCoord;void main(){vec4 color=texture2D(texture,texCoord);float r=color.r;float g=color.g;float b=color.b;color.r=min(1.0,(r*(1.0-(0.607*amount)))+(g*(0.769*amount))+(b*(0.189*amount)));color.g=min(1.0,(r*0.349*amount)+(g*(1.0-(0.314*amount)))+(b*0.168*amount));color.b=min(1.0,(r*0.272*amount)+(g*0.534*amount)+(b*(1.0-(0.869*amount))));gl_FragColor=color;}"); | |
f.call(this,a.sepia,{amount:q(0,b,1)});return this}function N(b,d){a.unsharpMask=a.unsharpMask||new h(null,"uniform sampler2D blurredTexture;uniform sampler2D originalTexture;uniform float strength;uniform float threshold;varying vec2 texCoord;void main(){vec4 blurred=texture2D(blurredTexture,texCoord);vec4 original=texture2D(originalTexture,texCoord);gl_FragColor=mix(blurred,original,1.0+strength);}"); | |
this._.extraTexture.ensureFormat(this._.texture);this._.texture.use();this._.extraTexture.drawTo(function(){h.getDefaultShader().drawRect()});this._.extraTexture.use(1);this.triangleBlur(b);a.unsharpMask.textures({originalTexture:1});f.call(this,a.unsharpMask,{strength:d});this._.extraTexture.unuse(1);return this}function O(b){a.vibrance=a.vibrance||new h(null,"uniform sampler2D texture;uniform float amount;varying vec2 texCoord;void main(){vec4 color=texture2D(texture,texCoord);float average=(color.r+color.g+color.b)/3.0;float mx=max(color.r,max(color.g,color.b));float amt=(mx-average)*(-amount*3.0);color.rgb=mix(color.rgb,vec3(mx),amt);gl_FragColor=color;}"); | |
f.call(this,a.vibrance,{amount:q(-1,b,1)});return this}function P(b,d){a.vignette=a.vignette||new h(null,"uniform sampler2D texture;uniform float size;uniform float amount;varying vec2 texCoord;void main(){vec4 color=texture2D(texture,texCoord);float dist=distance(texCoord,vec2(0.5,0.5));color.rgb*=smoothstep(0.8,size*0.799,dist*(amount+size));gl_FragColor=color;}"); | |
f.call(this,a.vignette,{size:q(0,b,1),amount:q(0,d,1)});return this}function Q(b,d,c){a.lensBlurPrePass=a.lensBlurPrePass||new h(null,"uniform sampler2D texture;uniform float power;varying vec2 texCoord;void main(){vec4 color=texture2D(texture,texCoord);color=pow(color,vec4(power));gl_FragColor=vec4(color);}");var e="uniform sampler2D texture0;uniform sampler2D texture1;uniform vec2 delta0;uniform vec2 delta1;uniform float power;varying vec2 texCoord;"+ | |
s+"vec4 sample(vec2 delta){float offset=random(vec3(delta,151.7182),0.0);vec4 color=vec4(0.0);float total=0.0;for(float t=0.0;t<=30.0;t++){float percent=(t+offset)/30.0;color+=texture2D(texture0,texCoord+delta*percent);total+=1.0;}return color/total;}"; | |
a.lensBlur0=a.lensBlur0||new h(null,e+"void main(){gl_FragColor=sample(delta0);}");a.lensBlur1=a.lensBlur1||new h(null,e+"void main(){gl_FragColor=(sample(delta0)+sample(delta1))*0.5;}");a.lensBlur2=a.lensBlur2||(new h(null,e+"void main(){vec4 color=(sample(delta0)+2.0*texture2D(texture1,texCoord))/3.0;gl_FragColor=pow(color,vec4(power));}")).textures({texture1:1});for(var e= | |
[],g=0;3>g;g++){var l=c+2*g*Math.PI/3;e.push([b*Math.sin(l)/this.width,b*Math.cos(l)/this.height])}b=Math.pow(10,q(-1,d,1));f.call(this,a.lensBlurPrePass,{power:b});this._.extraTexture.ensureFormat(this._.texture);f.call(this,a.lensBlur0,{delta0:e[0]},this._.texture,this._.extraTexture);f.call(this,a.lensBlur1,{delta0:e[1],delta1:e[2]},this._.extraTexture,this._.extraTexture);f.call(this,a.lensBlur0,{delta0:e[1]});this._.extraTexture.use(1);f.call(this,a.lensBlur2,{power:1/b,delta0:e[2]});return this} | |
function R(b,d,c,e,g,l){a.tiltShift=a.tiltShift||new h(null,"uniform sampler2D texture;uniform float blurRadius;uniform float gradientRadius;uniform vec2 start;uniform vec2 end;uniform vec2 delta;uniform vec2 texSize;varying vec2 texCoord;"+s+"void main(){vec4 color=vec4(0.0);float total=0.0;float offset=random(vec3(12.9898,78.233,151.7182),0.0);vec2 normal=normalize(vec2(start.y-end.y,end.x-start.x));float radius=smoothstep(0.0,1.0,abs(dot(texCoord*texSize-start,normal))/gradientRadius)*blurRadius;for(float t=-30.0;t<=30.0;t++){float percent=(t+offset-0.5)/30.0;float weight=1.0-abs(percent);vec4 sample=texture2D(texture,texCoord+delta/texSize*percent*radius);sample.rgb*=sample.a;color+=sample*weight;total+=weight;}gl_FragColor=color/total;gl_FragColor.rgb/=gl_FragColor.a+0.00001;}"); | |
var n=c-b,p=e-d,m=Math.sqrt(n*n+p*p);f.call(this,a.tiltShift,{blurRadius:g,gradientRadius:l,start:[b,d],end:[c,e],delta:[n/m,p/m],texSize:[this.width,this.height]});f.call(this,a.tiltShift,{blurRadius:g,gradientRadius:l,start:[b,d],end:[c,e],delta:[-p/m,n/m],texSize:[this.width,this.height]});return this}function S(b){a.triangleBlur=a.triangleBlur||new h(null,"uniform sampler2D texture;uniform vec2 delta;varying vec2 texCoord;"+s+"void main(){vec4 color=vec4(0.0);float total=0.0;float offset=random(vec3(12.9898,78.233,151.7182),0.0);for(float t=-30.0;t<=30.0;t++){float percent=(t+offset-0.5)/30.0;float weight=1.0-abs(percent);vec4 sample=texture2D(texture,texCoord+delta*percent);sample.rgb*=sample.a;color+=sample*weight;total+=weight;}gl_FragColor=color/total;gl_FragColor.rgb/=gl_FragColor.a+0.00001;}"); | |
f.call(this,a.triangleBlur,{delta:[b/this.width,0]});f.call(this,a.triangleBlur,{delta:[0,b/this.height]});return this}function T(b,d,c){a.zoomBlur=a.zoomBlur||new h(null,"uniform sampler2D texture;uniform vec2 center;uniform float strength;uniform vec2 texSize;varying vec2 texCoord;"+s+"void main(){vec4 color=vec4(0.0);float total=0.0;vec2 toCenter=center-texCoord*texSize;float offset=random(vec3(12.9898,78.233,151.7182),0.0);for(float t=0.0;t<=40.0;t++){float percent=(t+offset)/40.0;float weight=4.0*(percent-percent*percent);vec4 sample=texture2D(texture,texCoord+toCenter*percent*strength/texSize);sample.rgb*=sample.a;color+=sample*weight;total+=weight;}gl_FragColor=color/total;gl_FragColor.rgb/=gl_FragColor.a+0.00001;}"); | |
f.call(this,a.zoomBlur,{center:[b,d],strength:c,texSize:[this.width,this.height]});return this}function U(b,d,c,e){a.colorHalftone=a.colorHalftone||new h(null,"uniform sampler2D texture;uniform vec2 center;uniform float angle;uniform float scale;uniform vec2 texSize;varying vec2 texCoord;float pattern(float angle){float s=sin(angle),c=cos(angle);vec2 tex=texCoord*texSize-center;vec2 point=vec2(c*tex.x-s*tex.y,s*tex.x+c*tex.y)*scale;return(sin(point.x)*sin(point.y))*4.0;}void main(){vec4 color=texture2D(texture,texCoord);vec3 cmy=1.0-color.rgb;float k=min(cmy.x,min(cmy.y,cmy.z));cmy=(cmy-k)/(1.0-k);cmy=clamp(cmy*10.0-3.0+vec3(pattern(angle+0.26179),pattern(angle+1.30899),pattern(angle)),0.0,1.0);k=clamp(k*10.0-5.0+pattern(angle+0.78539),0.0,1.0);gl_FragColor=vec4(1.0-cmy-k,color.a);}"); | |
f.call(this,a.colorHalftone,{center:[b,d],angle:c,scale:Math.PI/e,texSize:[this.width,this.height]});return this}function V(b,d,c,e){a.dotScreen=a.dotScreen||new h(null,"uniform sampler2D texture;uniform vec2 center;uniform float angle;uniform float scale;uniform vec2 texSize;varying vec2 texCoord;float pattern(){float s=sin(angle),c=cos(angle);vec2 tex=texCoord*texSize-center;vec2 point=vec2(c*tex.x-s*tex.y,s*tex.x+c*tex.y)*scale;return(sin(point.x)*sin(point.y))*4.0;}void main(){vec4 color=texture2D(texture,texCoord);float average=(color.r+color.g+color.b)/3.0;gl_FragColor=vec4(vec3(average*10.0-5.0+pattern()),color.a);}"); | |
f.call(this,a.dotScreen,{center:[b,d],angle:c,scale:Math.PI/e,texSize:[this.width,this.height]});return this}function W(b){a.edgeWork1=a.edgeWork1||new h(null,"uniform sampler2D texture;uniform vec2 delta;varying vec2 texCoord;"+s+"void main(){vec2 color=vec2(0.0);vec2 total=vec2(0.0);float offset=random(vec3(12.9898,78.233,151.7182),0.0);for(float t=-30.0;t<=30.0;t++){float percent=(t+offset-0.5)/30.0;float weight=1.0-abs(percent);vec3 sample=texture2D(texture,texCoord+delta*percent).rgb;float average=(sample.r+sample.g+sample.b)/3.0;color.x+=average*weight;total.x+=weight;if(abs(t)<15.0){weight=weight*2.0-1.0;color.y+=average*weight;total.y+=weight;}}gl_FragColor=vec4(color/total,0.0,1.0);}"); | |
a.edgeWork2=a.edgeWork2||new h(null,"uniform sampler2D texture;uniform vec2 delta;varying vec2 texCoord;"+s+"void main(){vec2 color=vec2(0.0);vec2 total=vec2(0.0);float offset=random(vec3(12.9898,78.233,151.7182),0.0);for(float t=-30.0;t<=30.0;t++){float percent=(t+offset-0.5)/30.0;float weight=1.0-abs(percent);vec2 sample=texture2D(texture,texCoord+delta*percent).xy;color.x+=sample.x*weight;total.x+=weight;if(abs(t)<15.0){weight=weight*2.0-1.0;color.y+=sample.y*weight;total.y+=weight;}}float c=clamp(10000.0*(color.y/total.y-color.x/total.x)+0.5,0.0,1.0);gl_FragColor=vec4(c,c,c,1.0);}"); | |
f.call(this,a.edgeWork1,{delta:[b/this.width,0]});f.call(this,a.edgeWork2,{delta:[0,b/this.height]});return this}function X(b,d,c){a.hexagonalPixelate=a.hexagonalPixelate||new h(null,"uniform sampler2D texture;uniform vec2 center;uniform float scale;uniform vec2 texSize;varying vec2 texCoord;void main(){vec2 tex=(texCoord*texSize-center)/scale;tex.y/=0.866025404;tex.x-=tex.y*0.5;vec2 a;if(tex.x+tex.y-floor(tex.x)-floor(tex.y)<1.0)a=vec2(floor(tex.x),floor(tex.y));else a=vec2(ceil(tex.x),ceil(tex.y));vec2 b=vec2(ceil(tex.x),floor(tex.y));vec2 c=vec2(floor(tex.x),ceil(tex.y));vec3 TEX=vec3(tex.x,tex.y,1.0-tex.x-tex.y);vec3 A=vec3(a.x,a.y,1.0-a.x-a.y);vec3 B=vec3(b.x,b.y,1.0-b.x-b.y);vec3 C=vec3(c.x,c.y,1.0-c.x-c.y);float alen=length(TEX-A);float blen=length(TEX-B);float clen=length(TEX-C);vec2 choice;if(alen<blen){if(alen<clen)choice=a;else choice=c;}else{if(blen<clen)choice=b;else choice=c;}choice.x+=choice.y*0.5;choice.y*=0.866025404;choice*=scale/texSize;gl_FragColor=texture2D(texture,choice+center/texSize);}"); | |
f.call(this,a.hexagonalPixelate,{center:[b,d],scale:c,texSize:[this.width,this.height]});return this}function Y(b){a.ink=a.ink||new h(null,"uniform sampler2D texture;uniform float strength;uniform vec2 texSize;varying vec2 texCoord;void main(){vec2 dx=vec2(1.0/texSize.x,0.0);vec2 dy=vec2(0.0,1.0/texSize.y);vec4 color=texture2D(texture,texCoord);float bigTotal=0.0;float smallTotal=0.0;vec3 bigAverage=vec3(0.0);vec3 smallAverage=vec3(0.0);for(float x=-2.0;x<=2.0;x+=1.0){for(float y=-2.0;y<=2.0;y+=1.0){vec3 sample=texture2D(texture,texCoord+dx*x+dy*y).rgb;bigAverage+=sample;bigTotal+=1.0;if(abs(x)+abs(y)<2.0){smallAverage+=sample;smallTotal+=1.0;}}}vec3 edge=max(vec3(0.0),bigAverage/bigTotal-smallAverage/smallTotal);gl_FragColor=vec4(color.rgb-dot(edge,edge)*strength*100000.0,color.a);}"); | |
f.call(this,a.ink,{strength:b*b*b*b*b,texSize:[this.width,this.height]});return this}function Z(b,d,c,e){a.bulgePinch=a.bulgePinch||u("uniform float radius;uniform float strength;uniform vec2 center;","coord-=center;float distance=length(coord);if(distance<radius){float percent=distance/radius;if(strength>0.0){coord*=mix(1.0,smoothstep(0.0,radius/distance,percent),strength*0.75);}else{coord*=mix(1.0,pow(percent,1.0+strength*0.75)*radius/distance,1.0-percent);}}coord+=center;"); | |
f.call(this,a.bulgePinch,{radius:c,strength:q(-1,e,1),center:[b,d],texSize:[this.width,this.height]});return this}function $(b,d,c){a.matrixWarp=a.matrixWarp||u("uniform mat3 matrix;uniform bool useTextureSpace;","if(useTextureSpace)coord=coord/texSize*2.0-1.0;vec3 warp=matrix*vec3(coord,1.0);coord=warp.xy/warp.z;if(useTextureSpace)coord=(coord*0.5+0.5)*texSize;");b=Array.prototype.concat.apply([],b);if(4==b.length)b= | |
[b[0],b[1],0,b[2],b[3],0,0,0,1];else if(9!=b.length)throw"can only warp with 2x2 or 3x3 matrix";f.call(this,a.matrixWarp,{matrix:d?y(b):b,texSize:[this.width,this.height],useTextureSpace:c|0});return this}function aa(a,d){var c=x.apply(null,d),e=x.apply(null,a),c=y(c);return this.matrixWarp([c[0]*e[0]+c[1]*e[3]+c[2]*e[6],c[0]*e[1]+c[1]*e[4]+c[2]*e[7],c[0]*e[2]+c[1]*e[5]+c[2]*e[8],c[3]*e[0]+c[4]*e[3]+c[5]*e[6],c[3]*e[1]+c[4]*e[4]+c[5]*e[7],c[3]*e[2]+c[4]*e[5]+c[5]*e[8],c[6]*e[0]+c[7]*e[3]+c[8]*e[6], | |
c[6]*e[1]+c[7]*e[4]+c[8]*e[7],c[6]*e[2]+c[7]*e[5]+c[8]*e[8]])}function ba(b,d,c,e){a.swirl=a.swirl||u("uniform float radius;uniform float angle;uniform vec2 center;","coord-=center;float distance=length(coord);if(distance<radius){float percent=(radius-distance)/radius;float theta=percent*percent*angle;float s=sin(theta);float c=cos(theta);coord=vec2(coord.x*c-coord.y*s,coord.x*s+coord.y*c);}coord+=center;"); | |
f.call(this,a.swirl,{radius:c,center:[b,d],angle:e,texSize:[this.width,this.height]});return this}var v={};(function(){function a(b){if(!b.getExtension("OES_texture_float"))return!1;var c=b.createFramebuffer(),e=b.createTexture();b.bindTexture(b.TEXTURE_2D,e);b.texParameteri(b.TEXTURE_2D,b.TEXTURE_MAG_FILTER,b.NEAREST);b.texParameteri(b.TEXTURE_2D,b.TEXTURE_MIN_FILTER,b.NEAREST);b.texParameteri(b.TEXTURE_2D,b.TEXTURE_WRAP_S,b.CLAMP_TO_EDGE);b.texParameteri(b.TEXTURE_2D,b.TEXTURE_WRAP_T,b.CLAMP_TO_EDGE); | |
b.texImage2D(b.TEXTURE_2D,0,b.RGBA,1,1,0,b.RGBA,b.UNSIGNED_BYTE,null);b.bindFramebuffer(b.FRAMEBUFFER,c);b.framebufferTexture2D(b.FRAMEBUFFER,b.COLOR_ATTACHMENT0,b.TEXTURE_2D,e,0);c=b.createTexture();b.bindTexture(b.TEXTURE_2D,c);b.texParameteri(b.TEXTURE_2D,b.TEXTURE_MAG_FILTER,b.LINEAR);b.texParameteri(b.TEXTURE_2D,b.TEXTURE_MIN_FILTER,b.LINEAR);b.texParameteri(b.TEXTURE_2D,b.TEXTURE_WRAP_S,b.CLAMP_TO_EDGE);b.texParameteri(b.TEXTURE_2D,b.TEXTURE_WRAP_T,b.CLAMP_TO_EDGE);b.texImage2D(b.TEXTURE_2D, | |
0,b.RGBA,2,2,0,b.RGBA,b.FLOAT,new Float32Array([2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]));var e=b.createProgram(),d=b.createShader(b.VERTEX_SHADER),g=b.createShader(b.FRAGMENT_SHADER);b.shaderSource(d,"attribute vec2 vertex;void main(){gl_Position=vec4(vertex,0.0,1.0);}");b.shaderSource(g,"uniform sampler2D texture;void main(){gl_FragColor=texture2D(texture,vec2(0.5));}");b.compileShader(d);b.compileShader(g);b.attachShader(e,d);b.attachShader(e, | |
g);b.linkProgram(e);d=b.createBuffer();b.bindBuffer(b.ARRAY_BUFFER,d);b.bufferData(b.ARRAY_BUFFER,new Float32Array([0,0]),b.STREAM_DRAW);b.enableVertexAttribArray(0);b.vertexAttribPointer(0,2,b.FLOAT,!1,0,0);d=new Uint8Array(4);b.useProgram(e);b.viewport(0,0,1,1);b.bindTexture(b.TEXTURE_2D,c);b.drawArrays(b.POINTS,0,1);b.readPixels(0,0,1,1,b.RGBA,b.UNSIGNED_BYTE,d);return 127===d[0]||128===d[0]}function d(){}function c(a){"OES_texture_float_linear"===a?(void 0===this.$OES_texture_float_linear$&&Object.defineProperty(this, | |
"$OES_texture_float_linear$",{enumerable:!1,configurable:!1,writable:!1,value:new d}),a=this.$OES_texture_float_linear$):a=n.call(this,a);return a}function e(){var a=f.call(this);-1===a.indexOf("OES_texture_float_linear")&&a.push("OES_texture_float_linear");return a}try{var g=document.createElement("canvas").getContext("experimental-webgl")}catch(l){}if(g&&-1===g.getSupportedExtensions().indexOf("OES_texture_float_linear")&&a(g)){var n=WebGLRenderingContext.prototype.getExtension,f=WebGLRenderingContext.prototype.getSupportedExtensions; | |
WebGLRenderingContext.prototype.getExtension=c;WebGLRenderingContext.prototype.getSupportedExtensions=e}})();var a;v.canvas=function(){var b=document.createElement("canvas");try{a=b.getContext("experimental-webgl",{premultipliedAlpha:!1})}catch(d){a=null}if(!a)throw"This browser does not support WebGL";b._={gl:a,isInitialized:!1,texture:null,spareTexture:null,flippedShader:null};b.texture=k(A);b.draw=k(C);b.update=k(D);b.replace=k(E);b.contents=k(F);b.getPixelArray=k(G);b.brightnessContrast=k(H); | |
b.hexagonalPixelate=k(X);b.hueSaturation=k(K);b.colorHalftone=k(U);b.triangleBlur=k(S);b.unsharpMask=k(N);b.perspective=k(aa);b.matrixWarp=k($);b.bulgePinch=k(Z);b.tiltShift=k(R);b.dotScreen=k(V);b.edgeWork=k(W);b.lensBlur=k(Q);b.zoomBlur=k(T);b.noise=k(L);b.denoise=k(J);b.curves=k(I);b.swirl=k(ba);b.ink=k(Y);b.vignette=k(P);b.vibrance=k(O);b.sepia=k(M);return b};v.splineInterpolate=t;var h=function(){function b(b,c){var e=a.createShader(b);a.shaderSource(e,c);a.compileShader(e);if(!a.getShaderParameter(e, | |
a.COMPILE_STATUS))throw"compile error: "+a.getShaderInfoLog(e);return e}function d(d,l){this.texCoordAttribute=this.vertexAttribute=null;this.program=a.createProgram();d=d||c;l=l||e;l="precision highp float;"+l;a.attachShader(this.program,b(a.VERTEX_SHADER,d));a.attachShader(this.program,b(a.FRAGMENT_SHADER,l));a.linkProgram(this.program);if(!a.getProgramParameter(this.program,a.LINK_STATUS))throw"link error: "+a.getProgramInfoLog(this.program);}var c="attribute vec2 vertex;attribute vec2 _texCoord;varying vec2 texCoord;void main(){texCoord=_texCoord;gl_Position=vec4(vertex*2.0-1.0,0.0,1.0);}", | |
e="uniform sampler2D texture;varying vec2 texCoord;void main(){gl_FragColor=texture2D(texture,texCoord);}";d.prototype.destroy=function(){a.deleteProgram(this.program);this.program=null};d.prototype.uniforms=function(b){a.useProgram(this.program);for(var e in b)if(b.hasOwnProperty(e)){var c=a.getUniformLocation(this.program,e);if(null!==c){var d=b[e];if("[object Array]"==Object.prototype.toString.call(d))switch(d.length){case 1:a.uniform1fv(c,new Float32Array(d));break; | |
case 2:a.uniform2fv(c,new Float32Array(d));break;case 3:a.uniform3fv(c,new Float32Array(d));break;case 4:a.uniform4fv(c,new Float32Array(d));break;case 9:a.uniformMatrix3fv(c,!1,new Float32Array(d));break;case 16:a.uniformMatrix4fv(c,!1,new Float32Array(d));break;default:throw"dont't know how to load uniform \""+e+'" of length '+d.length;}else if("[object Number]"==Object.prototype.toString.call(d))a.uniform1f(c,d);else throw'attempted to set uniform "'+e+'" to invalid value '+(d||"undefined").toString(); | |
}}return this};d.prototype.textures=function(b){a.useProgram(this.program);for(var c in b)b.hasOwnProperty(c)&&a.uniform1i(a.getUniformLocation(this.program,c),b[c]);return this};d.prototype.drawRect=function(b,c,e,d){var f=a.getParameter(a.VIEWPORT);c=void 0!==c?(c-f[1])/f[3]:0;b=void 0!==b?(b-f[0])/f[2]:0;e=void 0!==e?(e-f[0])/f[2]:1;d=void 0!==d?(d-f[1])/f[3]:1;null==a.vertexBuffer&&(a.vertexBuffer=a.createBuffer());a.bindBuffer(a.ARRAY_BUFFER,a.vertexBuffer);a.bufferData(a.ARRAY_BUFFER,new Float32Array([b, | |
c,b,d,e,c,e,d]),a.STATIC_DRAW);null==a.texCoordBuffer&&(a.texCoordBuffer=a.createBuffer(),a.bindBuffer(a.ARRAY_BUFFER,a.texCoordBuffer),a.bufferData(a.ARRAY_BUFFER,new Float32Array([0,0,0,1,1,0,1,1]),a.STATIC_DRAW));null==this.vertexAttribute&&(this.vertexAttribute=a.getAttribLocation(this.program,"vertex"),a.enableVertexAttribArray(this.vertexAttribute));null==this.texCoordAttribute&&(this.texCoordAttribute=a.getAttribLocation(this.program,"_texCoord"),a.enableVertexAttribArray(this.texCoordAttribute)); | |
a.useProgram(this.program);a.bindBuffer(a.ARRAY_BUFFER,a.vertexBuffer);a.vertexAttribPointer(this.vertexAttribute,2,a.FLOAT,!1,0,0);a.bindBuffer(a.ARRAY_BUFFER,a.texCoordBuffer);a.vertexAttribPointer(this.texCoordAttribute,2,a.FLOAT,!1,0,0);a.drawArrays(a.TRIANGLE_STRIP,0,4)};d.getDefaultShader=function(){a.defaultShader=a.defaultShader||new d;return a.defaultShader};return d}();z.prototype.interpolate=function(a){for(var d=0,c=this.ya.length-1;1<c-d;){var e=c+d>>1;this.xa[e]>a?c=e:d=e}var e=this.xa[c]- | |
this.xa[d],g=(this.xa[c]-a)/e;a=(a-this.xa[d])/e;return g*this.ya[d]+a*this.ya[c]+((g*g*g-g)*this.y2[d]+(a*a*a-a)*this.y2[c])*e*e/6};var r=function(){function b(b,c,d,f){this.gl=a;this.id=a.createTexture();this.width=b;this.height=c;this.format=d;this.type=f;a.bindTexture(a.TEXTURE_2D,this.id);a.texParameteri(a.TEXTURE_2D,a.TEXTURE_MAG_FILTER,a.LINEAR);a.texParameteri(a.TEXTURE_2D,a.TEXTURE_MIN_FILTER,a.LINEAR);a.texParameteri(a.TEXTURE_2D,a.TEXTURE_WRAP_S,a.CLAMP_TO_EDGE);a.texParameteri(a.TEXTURE_2D, | |
a.TEXTURE_WRAP_T,a.CLAMP_TO_EDGE);b&&c&&a.texImage2D(a.TEXTURE_2D,0,this.format,b,c,0,this.format,this.type,null)}function d(a){null==c&&(c=document.createElement("canvas"));c.width=a.width;c.height=a.height;a=c.getContext("2d");a.clearRect(0,0,c.width,c.height);return a}b.fromElement=function(c){var d=new b(0,0,a.RGBA,a.UNSIGNED_BYTE);d.loadContentsOf(c);return d};b.prototype.loadContentsOf=function(b){this.width=b.width||b.videoWidth;this.height=b.height||b.videoHeight;a.bindTexture(a.TEXTURE_2D, | |
this.id);a.texImage2D(a.TEXTURE_2D,0,this.format,this.format,this.type,b)};b.prototype.initFromBytes=function(b,c,d){this.width=b;this.height=c;this.format=a.RGBA;this.type=a.UNSIGNED_BYTE;a.bindTexture(a.TEXTURE_2D,this.id);a.texImage2D(a.TEXTURE_2D,0,a.RGBA,b,c,0,a.RGBA,this.type,new Uint8Array(d))};b.prototype.destroy=function(){a.deleteTexture(this.id);this.id=null};b.prototype.use=function(b){a.activeTexture(a.TEXTURE0+(b||0));a.bindTexture(a.TEXTURE_2D,this.id)};b.prototype.unuse=function(b){a.activeTexture(a.TEXTURE0+ | |
(b||0));a.bindTexture(a.TEXTURE_2D,null)};b.prototype.ensureFormat=function(b,c,d,f){if(1==arguments.length){var h=arguments[0];b=h.width;c=h.height;d=h.format;f=h.type}if(b!=this.width||c!=this.height||d!=this.format||f!=this.type)this.width=b,this.height=c,this.format=d,this.type=f,a.bindTexture(a.TEXTURE_2D,this.id),a.texImage2D(a.TEXTURE_2D,0,this.format,b,c,0,this.format,this.type,null)};b.prototype.drawTo=function(b){a.framebuffer=a.framebuffer||a.createFramebuffer();a.bindFramebuffer(a.FRAMEBUFFER, | |
a.framebuffer);a.framebufferTexture2D(a.FRAMEBUFFER,a.COLOR_ATTACHMENT0,a.TEXTURE_2D,this.id,0);if(a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE)throw Error("incomplete framebuffer");a.viewport(0,0,this.width,this.height);b();a.bindFramebuffer(a.FRAMEBUFFER,null)};var c=null;b.prototype.fillUsingCanvas=function(b){b(d(this));this.format=a.RGBA;this.type=a.UNSIGNED_BYTE;a.bindTexture(a.TEXTURE_2D,this.id);a.texImage2D(a.TEXTURE_2D,0,a.RGBA,a.RGBA,a.UNSIGNED_BYTE,c);return this}; | |
b.prototype.toImage=function(b){this.use();h.getDefaultShader().drawRect();var f=4*this.width*this.height,k=new Uint8Array(f),n=d(this),p=n.createImageData(this.width,this.height);a.readPixels(0,0,this.width,this.height,a.RGBA,a.UNSIGNED_BYTE,k);for(var m=0;m<f;m++)p.data[m]=k[m];n.putImageData(p,0,0);b.src=c.toDataURL()};b.prototype.swapWith=function(a){var b;b=a.id;a.id=this.id;this.id=b;b=a.width;a.width=this.width;this.width=b;b=a.height;a.height=this.height;this.height=b;b=a.format;a.format= | |
this.format;this.format=b};return b}(),s="float random(vec3 scale,float seed){return fract(sin(dot(gl_FragCoord.xyz+seed,scale))*43758.5453+seed);}";return v}(); | |
</script> | |
<script> | |
var swirlAmount = 0.0; | |
var forward = true; | |
var RADIUS = 365; | |
window.onload = function() { | |
var canvas = fx.canvas(); | |
var image = document.getElementById('img'); | |
var texture = canvas.texture(image); | |
setInterval(function() { | |
if((forward && swirlAmount >= 15.0) || (!forward && swirlAmount <= -15.0)) forward = !forward; | |
swirlAmount += forward ? 0.5 : -0.5; | |
canvas.draw(texture).swirl(RADIUS, RADIUS, RADIUS * 2, swirlAmount).update(); | |
}, 15); | |
image.parentNode.insertBefore(canvas, image); | |
image.parentNode.removeChild(image); | |
}; | |
</script> | |
</htm |
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