织物js夹子背景颜色

时间:2017-06-16 08:27:27

标签: fabricjs

我有自定义剪辑,而不是默认剪辑。在我的情况下,我想看到剪切区域和水印之外的图像。一切正常,但我不能改变我背后空白区域的背景颜色。

这是有效的fiddle

我尝试设置c.backgroundColor = 'red'c.overlayColor = 'red',但它不起作用。

编辑:解决方案的示例可以在this fiddle中找到。

1 个答案:

答案 0 :(得分:1)

无效,因为您已将 read_csv('loadTest.csv', col_types = cols_only('col1' = col_integer(), #col1 is integer 'col2' = 'c', #col2 is character 'col8' = col_guess() #guess type 'col10' = '?' #guess type ) ) 属性设置为 globalCompositeOperation 对象,它更改背景颜色的绘图目标。根本不需要为图像对象设置此属性。

以下是您的代码的工作版本......

destination-atop
var c = new fabric.Canvas('c');
c.setBackgroundColor('white'); //set canvas background color

var clip = {
   left: 100,
   top: 100,
   right: c.getWidth() - 100,
   bottom: c.getHeight() - 100
}
var rb = new fabric.Path('M 0 0 H ' + c.getWidth() + ' V ' + clip.top + ' H ' + clip.left + ' V ' + clip.bottom + ' H ' + clip.right + ' V ' + clip.top + ' H ' + c.getWidth() + ' V ' + c.getHeight() + ' H 0 Z', {
   left: 0,
   top: 0,
   fill: 'rgba(100,50,31,0.3)'
});
var circle = new fabric.Circle({
   left: clip.right - 40,
   top: clip.bottom - 40,
   radius: 40,
   fill: 'bisque'
});
var g = new fabric.Group([rb, circle], {
   left: 0,
   top: 0
});
c.setOverlayImage(g);
fabric.Image.fromURL('data:image/png;base64,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', function(fimg) {
   c.add(fimg.set({
      left: clip.left - 50,
      top: clip.top - 50,
      //globalCompositeOperation: 'destination-atop' //<-- do not set this
   }));
   c.setActiveObject(c.item(0));
})
c.renderAll();

fabric.Canvas.prototype.cropImage = function(format, quality, x, y, width, height) {
   var canvasEl = this.lowerCanvasEl || this.upperCanvasEl;

   this.deactivateAll().renderAll(true);

   var printEl = canvasEl;

   // Only use extra canvas if any optional param is given
   if (x || y || width || height) {
      // Defaults
      x = x || 0;
      y = y || 0;
      width = width || canvasEl.width - x;
      height = height || canvasEl.height - y;

      // create printCanvas if necessary
      if (!fabric.printCanvas)
         fabric.printCanvas = document.createElement('canvas');

      printEl = fabric.printCanvas;

      // Calculate spaces over canvas bounds
      var d = {
         left: (x > 0) ? 0 : -x,
         top: (y > 0) ? 0 : -y,
         right: (x + width < canvasEl.width) ? 0 : (width + x) - canvasEl.width,
         bottom: (y + height < canvasEl.height) ? 0 : (height + y) - canvasEl.height
      };

      // Print section
      printEl.width = width;
      printEl.height = height;
      printEl.getContext('2d').drawImage(canvasEl,
         x + d.left, y + d.top, width - d.right - d.left, height - d.bottom - d.top,
         d.left, d.top, width - d.right - d.left, height - d.bottom - d.top);

   }

   var data = (fabric.StaticCanvas.supports('toDataURLWithQuality')) ? printEl.toDataURL('image/' + format, quality) : printEl.toDataURL('image/' + format);

   this.contextTop && this.clearContext(this.contextTop);
   this.renderAll();
   return data;
};

$('#clip').click(function() {
   window.open(c.cropImage('png', 75, clip.left, clip.top, clip.right - clip.left, clip.bottom - clip.top));
});
canvas{outline: 2px solid black;}

JSFiddle