https://webar.qcloud.com;https://webar-static.tencent-cloud.com;https://aegis.qq.com;The URL of the authentication signature API (`get-ar-sign`)
https://webar-static.tencent-cloud.com
npm install tencentcloud-webar
workers
in app.json
:"workers": "miniprogram_npm/tencentcloud-webar/worker"
// The import method for versions earlier than 0.3.0 (one file)// import "../../miniprogram_npm/tencentcloud-webar/lib.js";// The import method for v0.3.0 or later (two files and the 3D module (optional))import '../../miniprogram_npm/tencentcloud-webar/lib.js';import '../../miniprogram_npm/tencentcloud-webar/core.js';// Initialize the 3D plugin (optional)import '../../miniprogram_npm/tencentcloud-webar/lib-3d.js';import { plugin3d } from '../../miniprogram_npm/tencentcloud-webar/plugin-3d'// Import `ArSdk`import { ArSdk } from "../../miniprogram_npm/tencentcloud-webar/index.js";
APPID
in the RT-Cube console as instructed in Getting Started.camera
tag to open the camera and then set the camera parameters as detailed in Overview.getOutput
, so you need to pass in an onscreen WebGL canvas. The SDK will output images onto this canvas.// wxml// Open the camera and hide it by setting `position`<cameradevice-position="{{'front'}}"frame-size="large" flash="off" resolution="medium"style="width: 750rpx; height: 134rpx;position:absolute;top:-9999px;"/>// The SDK outputs the processed image to the canvas in real time.<canvastype="webgl"canvas-id="main-canvas"id="main-canvas"style="width: 750rpx; height: 1334rpx;"></canvas>// Take a photo and draw the `ImageData` object onto the canvas<canvastype="2d"canvas-id="photo-canvas"id="photo-canvas"style="position:absolute;width:720px;height:1280px;top:-9999px;left:-9999px;"></canvas>// js/** ----- Authentication configuration ----- *//*** Your Tencent Cloud account's APPID** You can view your APPID in the [Account Center](https://console.cloud.tencent.com/developer).*/const APPID = ''; // Enter your APPID/*** Web LicenseKey** On the [Web Licenses](https://console.cloud.tencent.com/vcube/web) page of the RT-Cube console, create a project, and a `LicenseKey` will be automatically generated.*/const LICENSE_KEY = ''; // Enter the license key of your project/*** The token used to calculate the signature** Note: The sample code is for demo debugging only. In the production environment, save the token and calculate the signature on the server. Provide the signature when the frontend calls an API to request it. For more information, see* [Signature algorithm](https://cloud.tencent.com/document/product/616/71370#.E7.AD.BE.E5.90.8D.E6.96.B9.E6.B3.95)*/const token = ''; // Enter your tokenComponent({data: {makeupList: [],stickerList: [],filterList: [],recording: false},methods: {async getCanvasNode(id) {return new Promise((resolve) => {this.createSelectorQuery().select(`#${id}`).node().exec((res) => {const canvasNode = res[0].node;resolve(canvasNode);});});},getSignature() {const timestamp = Math.round(new Date().getTime() / 1000);const signature = sha256(timestamp + token + APPID + timestamp).toUpperCase();return { signature, timestamp };},// Initialize the camera typeasync initSdkCamera() {// Get the onscreen canvas. The SDK will output the processed image to the canvas in real time.const outputCanvas = await this.getCanvasNode("main-canvas");// Get the authentication informationconst auth = {licenseKey: LICENSE_KEY,appId: APP_ID,authFunc: this.getSignature};// Construct SDK initialization parametersconst config = {auth,camera: {width:720,height:1280,},output: outputCanvas,// Initial beauty effects (optional)beautify: {whiten: 0.1, // The brightening effect. Value range: 0–1.dermabrasion: 0.3, // The smooth skin effect. Value range: 0–1.lift: 0, // The slim face effect. Value range: 0–1.shave: 0, // The V shape effect. Value range: 0–1.eye: 0.2, // The big eyes effect. Value range: 0–1.chin: 0, // The chin effect. Value range: 0–1.}};const ar = new ArSdk(config);// The list of built-in effects and filters can be obtained in the `created` callback.ar.on('created', () => {// Get the list of built-in makeup effects and stickersar.getEffectList({Type: 'Preset'}).then((res) => {const list = res.map(item => ({"name": *item.Name,id: item.EffectId,cover: item.CoverUrl,url: item.Url,label: item.Label,type: item.PresetType,}));const makeupList = list.filter(item=>item.label.indexOf('makeup')>=0)const stickerList = list.filter(item=>item.label.indexOf('sticker')>=0)// Render the list of effectsthis.setData({makeupList,stickerList});}).catch((e) => {console.log(e);});// Built-in filtersar.getCommonFilter().then((res) => {const list = res.map(item => ({"name": *item.Name,id: item.EffectId,cover: item.CoverUrl,url: item.Url,label: item.Label,type: item.PresetType,}));// Render the list of filtersthis.setData({filterList: list});}).catch((e) => {console.log(e);});});// You can set beauty filters and effects in the `ready` callback.ar.on('ready', (e) => {this._sdkReady = true});ar.on('error', (e) => {console.log(e);});this.ar = ar},// Change the beauty effects. Make sure the SDK is ready.onChangeBeauty(val){if(!this._sdkReady) return// You can set beauty effects through `setBeautify`. Six attributes are supported. For more information, see the SDK integration guide.this.ar.setBeautify({dermabrasion: val.dermabrasion, // The smooth skin effect. Value range: 0–1.});},// Change the makeup style. Make sure the SDK is ready.onChangeMakeup(id, intensity){if(!this._sdkReady) return// Use `setEffect` to configure the effect. Its input parameters can be in three formats as described in the SDK integration guide.this.ar.setEffect([{id, intensity}]);},// Change the sticker. Make sure the SDK is ready.onChangeSticker(id, intensity){if(!this._sdkReady) return// Use `setEffect` to configure the effect. Its input parameters can be in three formats as described in the SDK integration guide.this.ar.setEffect([{id, intensity}]);},// Change the filter. Make sure the SDK is ready.onChangeFilter(id, intensity){if(!this._sdkReady) return// Use `setFilter` to configure the filter. The second parameter indicates the filter strength. Value range: 0–1.this.ar.setFilter(id, 1);}}})
id
is photo-canvas
.) on your page and export it as an image file.async takePhoto() {const {uint8ArrayData, width, height} = this.ar.takePhoto(); // The `takePhoto` method returns the buffer data of the current image.const photoCanvasNode = await this.getCanvasNode('photo-canvas');photoCanvasNode.width = parseInt(width);photoCanvasNode.height = parseInt(height);const ctx = photoCanvasNode.getContext('2d');// Create an `ImageData` object with the data returned by the SDKconst imageData = photoCanvasNode.createImageData(uint8ArrayData, width, height);// Draw the `ImageData` object onto the canvasctx.putImageData(imageData,0,0,0,0,width,height);// Save the canvas as a local imagewx.canvasToTempFilePath({canvas: photoCanvasNode,x: 0,y: 0,width: width,height: height,destWidth: width,destHeight: height,success: (res) => {// Save the photowx.saveImageToPhotosAlbum({filePath: res.tempFilePath});}})}
Component({methods: {// Start shootingstartRecord() {this.setData({recording: true});this.ar.startRecord()}// Stop shootingasync stopRecord() {const res = await this.ar.stopRecord();// Save the videowx.saveVideoToPhotosAlbum({filePath: res.tempFilePath});this.setData({recording: false});}}})
stopRecord
to stop shooting. When the page is opened again, start the SDK again.onShow() {this.ar && this.ar.start();},onHide() {this.ar && this.ar.stop();},async onUnload() {try {this.ar && this.ar.stop();if (this.data.recording) {await this.ar.stopRecord({destroy: true,});}} catch (e) {}this.ar && this.ar.destroy();}
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