paper.js/examples/Paperjs.org/DivisionRaster.html

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<!DOCTYPE html>
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<html>
<head>
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<meta charset="UTF-8">
<title>Division Raster</title>
<link rel="stylesheet" href="../css/style.css">
<script type="text/javascript" src="../../dist/paper-full.js"></script>
<script type="text/paperscript" canvas="canvas">
// Based on 'JPEG Raster' by Jonathan Puckey:
// http://www.flickr.com/photos/puckey/3179779686/in/photostream/
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// Create a raster item using the image with id='mona'
var raster = new Raster('mona');
// Make the raster invisible:
raster.visible = false;
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var lastPos = view.center;
function moveHandler(event) {
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if (lastPos.getDistance(event.point) < 10)
return;
lastPos = event.point;
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var size = this.bounds.size.clone();
var isLandscape = size.width > size.height;
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// If the path is in landscape orientation, we're going to
// split the path horizontally, otherwise vertically:
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size /= isLandscape ? [2, 1] : [1, 2];
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var path = new Path.Rectangle({
point: this.bounds.topLeft.floor(),
size: size.ceil(),
onMouseMove: moveHandler
});
path.fillColor = raster.getAverageColor(path);
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var path = new Path.Rectangle({
point: isLandscape
? this.bounds.topCenter.ceil()
: this.bounds.leftCenter.ceil(),
size: size.floor(),
onMouseMove: moveHandler
});
path.fillColor = raster.getAverageColor(path);
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this.remove();
}
function onResize(event) {
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project.activeLayer.removeChildren();
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// Transform the raster so that it fills the bounding rectangle
// of the view:
raster.fitBounds(view.bounds, true);
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// Create a path that fills the view, and fill it with
// the average color of the raster:
new Path.Rectangle({
rectangle: view.bounds,
fillColor: raster.getAverageColor(view.bounds),
onMouseMove: moveHandler
});
}
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</script>
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</head>
<body>
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<canvas id="canvas" resize></canvas>
<img width="512" height="512" id="mona" style="display: none;" src="data:image/jpeg;base64,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</body>
</html>