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获取深度估计信息(ArkTS)

本章节给出了关键开发步骤,完整代码可以参考示例代码

约束与限制

获取深度估计信息能力支持部分Phone、部分Tablet设备。请参考硬件要求判断设备是否支持运动跟踪及平面识别特性(ARENGINE_FEATURE_TYPE_DEPTH)。

接口说明

获取深度估计信息可以通过ARFrame帧对象获取,以下接口为深度估计相关接口。详细接口和说明,请参考AR Engine API参考

接口名描述
ARSession.getFrame获取AR Engine处理后的一帧数据。
ARFrame.acquireDepthImage16Bits获取当前帧对应的深度图像对象。
ARFrame.acquireDepthConfidenceImage获取当前帧的深度置信度图像。

开发步骤

对于使用ArkTS的任何AR应用,首先需要创建一个AR会话ARViewContext,用于管理AR Engine的系统状态。AR会话ARViewContext的创建可以参考管理AR会话章节。

导入模块

获取深度估计信息能力所需的模块导入方法如下:

import { arEngine, ARView, arViewController } from '@kit.AREngine';
import { Node, Scene } from '@kit.ArkGraphics3D';
import { BusinessError } from '@kit.BasicServicesKit';

定义变量

定义变量centerDistance深度估计距离和centerConfidence深度置信度。

let centerDistance: number;
let centerConfidence: number;

显示深度估计信息

首先初始化AR会话和AR场景,可以参考初始化AR会话和AR场景章节。

在设备界面上显示深度估计信息及深度置信度信息,使用重复调用函数方法在设备界面上实时更新深度估计信息及置信度信息。

@Builder
export function ARDepthBuilder(): void {
ARDepth();
}

@Component
struct ARDepth {
private delayInterval: number = 33;
private intervalId: number = -1;
@State arContext?: arViewController.ARViewContext = undefined;
@State depthConfidence: number = 0;
@State depthDistance: string = '0';

build(): void {
NavDestination() {
RelativeContainer() {
if (this.arContext) {
ARView({ context: this.arContext })
.height('100%')
.width('100%')
.alignRules({
center: { anchor: "__container__", align: VerticalAlign.Center },
middle: { anchor: "__container__", align: HorizontalAlign.Center }
})

// 在屏幕上显示中心点、深度估计值及置信度
Text('●')
.fontSize(8)
.fontColor(Color.Red)
.alignRules({
center: { anchor: '__container__', align: VerticalAlign.Center },
middle: { anchor: '__container__', align: HorizontalAlign.Center }
})

Column() {
Text(`${this.depthDistance} | ${this.depthConfidence}`)
.fontColor(Color.Yellow)
.fontSize(24)
.textShadow({
radius: 10,
color: Color.Black,
offsetX: 0,
offsetY: 0
})
}
.alignItems(HorizontalAlign.Center)
.margin({ bottom: 10 })
.alignRules({
bottom: { anchor: "__container__", align: VerticalAlign.Bottom },
middle: { anchor: "__container__", align: HorizontalAlign.Center }
})
}
}
}
.onAppear(() => {
this.initARView();
this.renderDepthMsg();
})
.onWillAppear(() => {
this.stopARView();
})
.onShown(() => {
this.resumeARView();
})
.onHidden(() => {
this.pauseARView();
})
.hideTitleBar(true)
.hideBackButton(true)
.hideToolBar(true)
}

private initARView(): void {
Scene.load().then((scene: Scene) => {
let viewContext: arViewController.ARViewContext = new arViewController.ARViewContext();
viewContext.scene = scene;
viewContext.callback = new ARViewCallbackImpl();
viewContext.config = {
type: arEngine.ARType.WORLD,
planeFindingMode: arEngine.ARPlaneFindingMode.HORIZONTAL_AND_VERTICAL,
powerMode: arEngine.ARPowerMode.NORMAL,
semanticMode: arEngine.ARSemanticMode.NONE,
poseMode: arEngine.ARPoseMode.GRAVITY,
depthMode: arEngine.ARDepthMode.AUTOMATIC,
meshMode: arEngine.ARMeshMode.DISABLED,
focusMode: arEngine.ARFocusMode.AUTO
}
viewContext.init().then(() => {
this.arContext = viewContext;
console.info('Succeeded in initializing ARView.');
}).catch((err: BusinessError) => {
console.error(`Failed to init ARView. Code is ${err.code}, message is ${err.message}`);
})
})
}

private renderDepthMsg(): void {
this.intervalId = setInterval(() => {
if (centerDistance === undefined || centerConfidence === undefined) {
return;
}
this.depthDistance = centerDistance.toFixed(4);
this.depthConfidence = centerConfidence;
}, this.delayInterval)
}

private stopARView(): void {
if (!this.arContext) {
return;
}
try {
clearInterval(this.intervalId);
this.arContext.destroy();
centerDistance = 0;
centerConfidence = 0;
} catch (error) {
const err: BusinessError = error as BusinessError;
console.error(`Failed to stop context. Code is ${err.code}, message is ${err.message}`);
}
}

private resumeARView(): void {
// ...
}
private pauseARView(): void {
// ...
}
}

获取深度估计信息

调用ARViewCallback,使用其中的onFrameUpdate方法获取到AR会话对象后进行深度估计,获取深度信息、置信度信息。

class ARViewCallbackImpl extends arViewController.ARViewCallback {
onAnchorAdd(ctx: arViewController.ARViewContext, node: Node, anchor: arEngine.ARAnchor): void {
// ...
}

onAnchorUpdate(ctx: arViewController.ARViewContext, node: Node, anchor: arEngine.ARAnchor): void {
// ...
}

onFrameUpdate(ctx: arViewController.ARViewContext, sysBootTs: number): void {
if (!ctx.session) {
return;
}

let session: arEngine.ARSession | undefined = ctx.session;

try {
let frame: arEngine.ARFrame = session.getFrame();
let depthImage: arEngine.ARImage = frame.acquireDepthImage16Bits();
let confidenceImage: arEngine.ARImage = frame.acquireDepthConfidenceImage();
let depthPlane: number[] = arrayBufferInt32ToNumber(depthImage.planes[0].buffer);
let confidencePlane: number[] = arrayBufferInt32ToNumber(confidenceImage.planes[0].buffer);
const index: number = depthImage.height * depthImage.width / 2 + depthImage.width / 2;

centerDistance = depthPlane[index] / 1000;
centerConfidence = confidencePlane[index];
} catch (error) {
const err: BusinessError = error as BusinessError;
console.error(`Failed to acquire depth information. Code is ${err.code}, message is ${err.message}`);
}
}
}

获取深度估计信息的自定义方法

自定义数据转换方法arrayBufferInt32ToNumber可参考数据类型转换说明