@babylonjs/core
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Getting started? Play directly with the Babylon.js API using our [playground](https://playground.babylonjs.com/). It also contains a lot of samples to learn how to use it.
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JavaScript
import { __decorate } from "../../../../tslib.es6.js";
import { RegisterClass } from "../../../../Misc/typeStore.js";
import { editableInPropertyPage } from "../../../../Decorators/nodeDecorator.js";
import { FrameGraphConvolutionTask } from "../../../Tasks/PostProcesses/convolutionTask.js";
import { ThinConvolutionPostProcess } from "../../../../PostProcesses/thinConvolutionPostProcess.js";
import { NodeRenderGraphBaseWithPropertiesPostProcessBlock } from "./baseWithPropertiesPostProcessBlock.js";
/**
* Block that implements the convolution post process
*/
export class NodeRenderGraphConvolutionPostProcessBlock extends NodeRenderGraphBaseWithPropertiesPostProcessBlock {
/**
* Gets the frame graph task associated with this block
*/
get task() {
return this._frameGraphTask;
}
/**
* Create a new NodeRenderGraphConvolutionPostProcessBlock
* @param name defines the block name
* @param frameGraph defines the hosting frame graph
* @param scene defines the hosting scene
* @param kernel Array of 9 values corresponding to the 3x3 kernel to be applied
*/
constructor(name, frameGraph, scene, kernel = ThinConvolutionPostProcess.EmbossKernel) {
super(name, frameGraph, scene);
this._additionalConstructionParameters = [kernel];
this._finalizeInputOutputRegistering();
this._frameGraphTask = new FrameGraphConvolutionTask(this.name, frameGraph, new ThinConvolutionPostProcess(name, frameGraph.engine, kernel));
}
_createTask(kernelIndex) {
const sourceSamplingMode = this._frameGraphTask.sourceSamplingMode;
this._frameGraphTask.dispose();
let kernel = ThinConvolutionPostProcess.EmbossKernel;
switch (kernelIndex) {
case 0:
kernel = ThinConvolutionPostProcess.EdgeDetect0Kernel;
break;
case 1:
kernel = ThinConvolutionPostProcess.EdgeDetect1Kernel;
break;
case 2:
kernel = ThinConvolutionPostProcess.EdgeDetect2Kernel;
break;
case 3:
kernel = ThinConvolutionPostProcess.SharpenKernel;
break;
case 4:
kernel = ThinConvolutionPostProcess.EmbossKernel;
break;
case 5:
kernel = ThinConvolutionPostProcess.GaussianKernel;
break;
}
this._frameGraphTask = new FrameGraphConvolutionTask(this.name, this._frameGraph, new ThinConvolutionPostProcess(this.name, this._frameGraph.engine, kernel));
this._frameGraphTask.sourceSamplingMode = sourceSamplingMode;
this._additionalConstructionParameters = [kernel];
}
/** The quality of the blur effect */
get kernel() {
const kernel = this._frameGraphTask.postProcess.kernel;
if (kernel.every((value, index) => value === ThinConvolutionPostProcess.EdgeDetect0Kernel[index])) {
return 0;
}
if (kernel.every((value, index) => value === ThinConvolutionPostProcess.EdgeDetect1Kernel[index])) {
return 1;
}
if (kernel.every((value, index) => value === ThinConvolutionPostProcess.EdgeDetect2Kernel[index])) {
return 2;
}
if (kernel.every((value, index) => value === ThinConvolutionPostProcess.SharpenKernel[index])) {
return 3;
}
if (kernel.every((value, index) => value === ThinConvolutionPostProcess.EmbossKernel[index])) {
return 4;
}
if (kernel.every((value, index) => value === ThinConvolutionPostProcess.GaussianKernel[index])) {
return 5;
}
return 0;
}
set kernel(value) {
this._createTask(value);
}
/**
* Gets the current class name
* @returns the class name
*/
getClassName() {
return "NodeRenderGraphConvolutionPostProcessBlock";
}
}
__decorate([
editableInPropertyPage("Kernel", 5 /* PropertyTypeForEdition.List */, "PROPERTIES", {
options: [
{ label: "EdgeDetect0", value: 0 },
{ label: "EdgeDetect1", value: 1 },
{ label: "EdgeDetect2", value: 2 },
{ label: "Sharpen", value: 3 },
{ label: "Emboss", value: 4 },
{ label: "Gaussian", value: 5 },
],
})
], NodeRenderGraphConvolutionPostProcessBlock.prototype, "kernel", null);
RegisterClass("BABYLON.NodeRenderGraphConvolutionPostProcessBlock", NodeRenderGraphConvolutionPostProcessBlock);
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