Index: chrome/test/data/third_party/kraken/hosted/explanations/gaussian-blur.html |
diff --git a/chrome/test/data/third_party/kraken/hosted/explanations/gaussian-blur.html b/chrome/test/data/third_party/kraken/hosted/explanations/gaussian-blur.html |
deleted file mode 100644 |
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--- a/chrome/test/data/third_party/kraken/hosted/explanations/gaussian-blur.html |
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@@ -1,139 +0,0 @@ |
-<!DOCTYPE html> |
-<html> |
-<head> |
- |
-<meta charset=utf8> |
- |
-<!-- |
- Copyright (C) 2007 Apple Inc. All rights reserved. |
- Copyright (C) 2010 Mozilla Foundation |
- |
- Redistribution and use in source and binary forms, with or without |
- modification, are permitted provided that the following conditions |
- are met: |
- 1. Redistributions of source code must retain the above copyright |
- notice, this list of conditions and the following disclaimer. |
- 2. Redistributions in binary form must reproduce the above copyright |
- notice, this list of conditions and the following disclaimer in the |
- documentation and/or other materials provided with the distribution. |
- |
- THIS SOFTWARE IS PROVIDED BY APPLE COMPUTER, INC. ``AS IS'' AND ANY |
- EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
- IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR |
- PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL APPLE COMPUTER, INC. OR |
- CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, |
- EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, |
- PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR |
- PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY |
- OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
- (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE |
- OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
---> |
- |
-<title>Kraken JavaScript Benchmark: Gaussian Blur</title> |
-<link rel="stylesheet" href="../kraken.css"> |
-<script> |
- |
-</script> |
-<style> #display { border: 5px solid rgb(0,0,50);}</style> |
-</head> |
- |
-<body> |
-<div id="content"> |
-<h2>Kraken JavaScript Benchmark: Gaussian Blur</h2> |
-<div id="results"> |
- <p>This benchmark performs a <a href="http://en.wikipedia.org/wiki/Gaussian_blur">Gaussian blur</a> on a photo.</p> |
- <p><small>Photo courtesy <a href="http://www.flickr.com/photos/katclay/4296523922/in/photostream/">Kat Clay</a> from Flickr</small>.</p> |
- <img id="image" src="squid.png" width="400" height="267"> |
- <canvas id="canvas" width="400" height="267"></canvas> |
- <script> |
- var sigma = 10; // radius |
- var kernel, kernelSize, kernelSum; |
- buildKernel(); |
- |
- try { |
- // Opera createImageData fix |
- if (!("createImageData" in CanvasRenderingContext2D.prototype)) { |
- CanvasRenderingContext2D.prototype.createImageData = function(sw,sh) { return this.getImageData(0,0,sw,sh); } |
- } |
- } catch(e) {} |
- |
- function buildKernel() { |
- var ss = sigma * sigma; |
- var factor = 2 * Math.PI * ss; |
- kernel = []; |
- kernel.push([]); |
- var i = 0, j; |
- do { |
- var g = Math.exp(-(i * i) / (2 * ss)) / factor; |
- if (g < 1e-3) break; |
- kernel[0].push(g); |
- ++i; |
- } while (i < 7); |
- kernelSize = i; |
- for (j = 1; j < kernelSize; ++j) { |
- kernel.push([]); |
- for (i = 0; i < kernelSize; ++i) { |
- var g = Math.exp(-(i * i + j * j) / (2 * ss)) / factor; |
- kernel[j].push(g); |
- } |
- } |
- kernelSum = 0; |
- for (j = 1 - kernelSize; j < kernelSize; ++j) { |
- for (i = 1 - kernelSize; i < kernelSize; ++i) { |
- kernelSum += kernel[Math.abs(j)][Math.abs(i)]; |
- } |
- } |
- } |
- |
- function blurTest() { |
- var results = document.getElementById('blur-result'); |
- results.innerHTML = "Running test..."; |
- |
- window.setTimeout(function() { |
- var canvas = document.getElementById('canvas'); |
- var ctx = canvas.getContext('2d'); |
- var img = document.getElementById('image') |
- ctx.drawImage(img, 0, 0, img.width, img.height); |
- |
- var imgData = ctx.getImageData(0, 0, canvas.width, canvas.height); |
- var width = imgData.width, height = imgData.height; |
- var data = imgData.data; |
- |
- var len = data.length; |
- var startTime = (new Date()).getTime(); |
- |
- for (var y = 0; y < height; ++y) { |
- for (var x = 0; x < width; ++x) { |
- var r = 0, g = 0, b = 0, a = 0; |
- for (j = 1 - kernelSize; j < kernelSize; ++j) { |
- if (y + j < 0 || y + j >= height) continue; |
- for (i = 1 - kernelSize; i < kernelSize; ++i) { |
- if (x + i < 0 || x + i >= width) continue; |
- r += data[4 * ((y + j) * width + (x + i)) + 0] * kernel[Math.abs(j)][Math.abs(i)]; |
- g += data[4 * ((y + j) * width + (x + i)) + 1] * kernel[Math.abs(j)][Math.abs(i)]; |
- b += data[4 * ((y + j) * width + (x + i)) + 2] * kernel[Math.abs(j)][Math.abs(i)]; |
- a += data[4 * ((y + j) * width + (x + i)) + 3] * kernel[Math.abs(j)][Math.abs(i)]; |
- } |
- } |
- data[4 * (y * width + x) + 0] = r / kernelSum; |
- data[4 * (y * width + x) + 1] = g / kernelSum; |
- data[4 * (y * width + x) + 2] = b / kernelSum; |
- data[4 * (y * width + x) + 3] = a / kernelSum; |
- } |
- } |
- var finishTime = Date.now() - startTime; |
- for (var i = 0; i < data.length; i++) { |
- imgData.data[i] = data[i]; |
- } |
- //imgData.data = data; |
- ctx.putImageData(imgData, 0, 0); |
- results.innerHTML = "Finished: " + finishTime + "ms"; |
- }, 10); |
- } |
- </script> |
- <p><input type="button" value="Blur Test" onclick="blurTest();"> <span id="blur-result"></span></p> |
-</div> |
-</div> |
-</body> |
-</html> |