PaperJS,需要 select 使用鼠标按下的透明光栅下的项目
PaperJS, Need to select items underneath a transparent raster using Mouse Down
我有一个 Canvas 有多个光栅图像。
我在 Tool
上使用 onMouseDown
来查找 select 被点击的项目。
我有一个新要求。
假设,两张图片互相重叠,上面的图片是部分透明的。这使得较低的图像可见。但是当我尝试点击下方图片时,显然我最终选择了上方图片。
尝试失败
我尝试在 Raster 上使用 getPixel(point)
函数。我想如果我能确定 selected 像素是透明的,我就可以忽略该光栅并寻找其他项目。但是我没有使用此功能获得我期望的颜色值(透明或不透明)。
所以,我的第二个想法是我需要将 mousedown 事件点从全局坐标 space 更改为局部光栅坐标 space。还是不行。
有没有办法实现我想要的?
代码
tool.onMouseDown = (event) => {
project.activeLayer.children.forEach((item) => {
if (item.contains(event.point)) {
// check if hit was on a transparent raster pixel
const pixel = item.getPixel(event.point)
console.error(pixel.toCSS(true))
// 2nd attempt
const pixel = item.getPixel(item.globalToLocal(event.point))
console.error(pixel.toCSS(true))
}
}
}
有一种更简单的方法可以实现您想要实现的目标。
您可以依靠 project.hitTestAll() 方法对所有项目进行命中测试。
那么,如果命中项是一个光栅,命中像素的颜色信息将包含在hitResult.color中。 hitResult.color.alpha
是检查光栅是否命中非透明像素所需的全部内容。
这是解决方案的 sketch 演示。
const dataUrl = 'data:image/png;base64,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';
const lowOpacity = 0.3;
// create 2 rasters
new Raster({
source: dataUrl,
opacity: lowOpacity,
onLoad: function() {
this.position = view.center - 100;
}
});
new Raster({
source: dataUrl,
opacity: lowOpacity,
onLoad: function() {
this.position = view.center + 100;
}
});
// on mouse down
function onMouseDown(event) {
// unselect previously selected items
paper.project.selectedItems.forEach(item => {
item.selected = false;
item.opacity = lowOpacity;
});
// do a hit test on all project items
const hitResults = project.hitTestAll(event.point);
// for each hit result
for (let i = 0; i < hitResults.length; i++) {
const hitResult = hitResults[i];
// if item was hit on a non transparent pixel
if (hitResult && hitResult.color && hitResult.color.alpha > 0) {
// select item
hitResult.item.selected = true;
hitResult.item.opacity = 1;
// break loop
break;
}
}
}
我有一个 Canvas 有多个光栅图像。
我在 Tool
上使用 onMouseDown
来查找 select 被点击的项目。
我有一个新要求。
假设,两张图片互相重叠,上面的图片是部分透明的。这使得较低的图像可见。但是当我尝试点击下方图片时,显然我最终选择了上方图片。
尝试失败
我尝试在 Raster 上使用 getPixel(point)
函数。我想如果我能确定 selected 像素是透明的,我就可以忽略该光栅并寻找其他项目。但是我没有使用此功能获得我期望的颜色值(透明或不透明)。
所以,我的第二个想法是我需要将 mousedown 事件点从全局坐标 space 更改为局部光栅坐标 space。还是不行。
有没有办法实现我想要的?
代码
tool.onMouseDown = (event) => {
project.activeLayer.children.forEach((item) => {
if (item.contains(event.point)) {
// check if hit was on a transparent raster pixel
const pixel = item.getPixel(event.point)
console.error(pixel.toCSS(true))
// 2nd attempt
const pixel = item.getPixel(item.globalToLocal(event.point))
console.error(pixel.toCSS(true))
}
}
}
有一种更简单的方法可以实现您想要实现的目标。
您可以依靠 project.hitTestAll() 方法对所有项目进行命中测试。
那么,如果命中项是一个光栅,命中像素的颜色信息将包含在hitResult.color中。 hitResult.color.alpha
是检查光栅是否命中非透明像素所需的全部内容。
这是解决方案的 sketch 演示。
const dataUrl = 'data:image/png;base64,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';
const lowOpacity = 0.3;
// create 2 rasters
new Raster({
source: dataUrl,
opacity: lowOpacity,
onLoad: function() {
this.position = view.center - 100;
}
});
new Raster({
source: dataUrl,
opacity: lowOpacity,
onLoad: function() {
this.position = view.center + 100;
}
});
// on mouse down
function onMouseDown(event) {
// unselect previously selected items
paper.project.selectedItems.forEach(item => {
item.selected = false;
item.opacity = lowOpacity;
});
// do a hit test on all project items
const hitResults = project.hitTestAll(event.point);
// for each hit result
for (let i = 0; i < hitResults.length; i++) {
const hitResult = hitResults[i];
// if item was hit on a non transparent pixel
if (hitResult && hitResult.color && hitResult.color.alpha > 0) {
// select item
hitResult.item.selected = true;
hitResult.item.opacity = 1;
// break loop
break;
}
}
}