{"version":3,"file":"ngx-scanner-face.mjs","sources":["../../../projects/ngx-scanner-face/src/lib/ngx-scanner-face.default.ts","../../../projects/ngx-scanner-face/src/lib/ngx-scanner-face.helper.ts","../../../projects/ngx-scanner-face/src/lib/ngx-scanner-face.service.ts","../../../projects/ngx-scanner-face/src/lib/ngx-scanner-face.component.ts","../../../projects/ngx-scanner-face/src/lib/ngx-scanner-face.options.ts","../../../projects/ngx-scanner-face/src/lib/ngx-scanner-face.module.ts","../../../projects/ngx-scanner-face/src/public-api.ts","../../../projects/ngx-scanner-face/src/ngx-scanner-face.ts"],"sourcesContent":["import {\r\n Env,\r\n Config,\r\n DrawOptions,\r\n} from './ngx-scanner-face.options';\r\n\r\n/**\r\n * Frame speed ms/fps.\r\n */\r\nexport const FPS = 30;\r\n\r\n/**\r\n * setTimeout 1000ms.\r\n */\r\nexport const TIMEOUT_DETECT = 1000;\r\n\r\n/**\r\n * user configuration for human, used to fine-tune behavior\r\n */\r\nexport const CONFIG: Partial = {\r\n async: false,\r\n modelBasePath: './models',\r\n filter: {\r\n flip: false\r\n },\r\n face: {\r\n enabled: true,\r\n detector: {\r\n rotation: false,\r\n },\r\n mesh: {\r\n enabled: true,\r\n },\r\n attention: {\r\n enabled: false,\r\n },\r\n iris: {\r\n enabled: true,\r\n },\r\n description: {\r\n enabled: true,\r\n },\r\n emotion: {\r\n enabled: true,\r\n },\r\n },\r\n body: { enabled: true },\r\n hand: { enabled: true },\r\n object: { enabled: false },\r\n gesture: { enabled: true },\r\n};\r\n\r\n/**\r\n * Env class that holds detected capabilities\r\n */\r\nexport const ENV: Partial = {\r\n perfadd: false, // is performance data showing instant or total values\r\n};\r\n\r\n/**\r\n * Draw Options\r\n */\r\nexport const DRAW_OPTIONS: Partial = {\r\n font: 'monospace', // set font used to draw labels when using draw methods\r\n lineHeight: 20,\r\n};\r\n\r\n/**\r\n * MediaStream\r\ns * https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia\r\n */\r\nexport const MEDIASTREAM: MediaStreamConstraints = {\r\n audio: false,\r\n video: true\r\n};","import { AsyncSubject } from \"rxjs\";\r\n\r\n/**\r\n * Override Config\r\n */\r\nexport const OVERRIDES = (defaultConfig: any, switchConfig: any) => {\r\n if (switchConfig && Object.keys(switchConfig)?.length) {\r\n for (const key in defaultConfig) {\r\n switchConfig = switchConfig?.hasOwnProperty(key)\r\n ? switchConfig\r\n : JSON.parse(\r\n JSON.stringify({\r\n ...switchConfig,\r\n ...{ [key]: (defaultConfig as any)[key] },\r\n })\r\n );\r\n }\r\n return switchConfig;\r\n } else {\r\n return defaultConfig;\r\n }\r\n};\r\n\r\n/**\r\n * AS_COMPLETE\r\n * @param as \r\n * @param data \r\n * @param error \r\n */\r\nexport const AS_COMPLETE = (as: AsyncSubject, data: any, error?: any) => {\r\n error ? as.error(error) : as.next(data);\r\n as.complete();\r\n};\r\n\r\n/**\r\n * Download from url\r\n * @param url \r\n */\r\nexport const DOWNLOAD = (url: string, fileName: string) => {\r\n const link = document.createElement('a');\r\n link.download = fileName;\r\n link.href = url;\r\n link.click();\r\n}\r\n\r\n/**\r\n * Clean and reset canvas\r\n * @param canvas \r\n */\r\nexport const RESET_CANVAS = (canvas: HTMLCanvasElement) => {\r\n // reset canvas\r\n const context = canvas.getContext('2d', { willReadFrequently: true }) as CanvasRenderingContext2D;\r\n // clear frame when reloop\r\n context.clearRect(0, 0, canvas.width, canvas.height);\r\n}\r\n\r\n/**\r\n * COMPRESS_IMAGE_FILE\r\n * @param files \r\n * @param percentage \r\n * @param quality \r\n * @returns \r\n */\r\nexport const COMPRESS_IMAGE_FILE = (files: File[] = [], percentage = 100, quality = 100) => {\r\n if (files.length && (percentage < 100 || quality < 100)) {\r\n // Have files\r\n const resizedFiles: File[] = [];\r\n return new Promise((resolve, reject) => {\r\n for (const file of files) {\r\n const image = new Image() as HTMLImageElement;\r\n const reader = new FileReader();\r\n reader.onload = function (event: any) {\r\n image.onload = function () {\r\n const canvas = document.createElement('canvas');\r\n const ctx = canvas.getContext('2d') as CanvasRenderingContext2D;\r\n const newWidth = Math.round(image.width * (percentage / 100));\r\n const newHeight = Math.round(image.height * (percentage / 100));\r\n canvas.width = newWidth;\r\n canvas.height = newHeight;\r\n ctx.drawImage(image, 0, 0, newWidth, newHeight);\r\n canvas.toBlob((blob: any) => {\r\n const resizedFile = new File([blob], file.name, { type: file.type });\r\n resizedFiles.push(resizedFile);\r\n if (files.length === resizedFiles.length) {\r\n resolve(resizedFiles);\r\n }\r\n }, file.type, quality / 100);\r\n };\r\n image.src = event.target.result;\r\n };\r\n reader.onerror = (error: any) => reject(error);\r\n reader.readAsDataURL(file);\r\n }\r\n });\r\n } else {\r\n // No files selected\r\n return Promise.resolve(files);\r\n }\r\n}\r\n\r\n/**\r\n * DRAW_IMAGE\r\n * @param canvas \r\n * @param image \r\n */\r\nexport const DRAW_IMAGE = (canvas: HTMLCanvasElement, image: ImageBitmap | any) => {\r\n canvas.width = image.width;\r\n canvas.height = image.height;\r\n const ctx = canvas.getContext('2d') as CanvasRenderingContext2D;\r\n ctx.drawImage(image, 0, 0, canvas.width, canvas.height);\r\n}\r\n\r\n/**\r\n * UPDATE_WIDTH_HEIGHT_VIDEO\r\n * @param video \r\n * @param canvas \r\n */\r\nexport const UPDATE_WIDTH_HEIGHT_VIDEO = (video: HTMLVideoElement, canvas: HTMLCanvasElement): void => {\r\n canvas.setAttribute('width', video.videoWidth + '');\r\n canvas.setAttribute('height', video.videoHeight + '');\r\n}\r\n","import { Injectable } from '@angular/core';\r\nimport { AsyncSubject, of, delay } from 'rxjs';\r\nimport { Human } from 'ngx-scanner-face-human';\r\nimport {\r\n Result,\r\n ScannerFaceConfig,\r\n ScannerFaceResult,\r\n} from './ngx-scanner-face.options';\r\nimport {\r\n FPS,\r\n ENV,\r\n CONFIG,\r\n DRAW_OPTIONS,\r\n MEDIASTREAM,\r\n TIMEOUT_DETECT,\r\n} from './ngx-scanner-face.default';\r\nimport { AS_COMPLETE, COMPRESS_IMAGE_FILE, DRAW_IMAGE } from './ngx-scanner-face.helper';\r\n\r\n@Injectable({\r\n providedIn: 'root',\r\n})\r\nexport class NgxScannerFaceService {\r\n\r\n /**\r\n * Files to base64: ScannerFaceResult[]\r\n * @param files\r\n * @param ScannerFaceResult\r\n * @returns ScannerFaceResult\r\n */\r\n public toBase64(files: File[]): AsyncSubject {\r\n const result = new AsyncSubject();\r\n const data: ScannerFaceResult[] = [];\r\n if (files?.length) {\r\n Object.keys(files)?.forEach((file, i) => {\r\n const url = URL.createObjectURL(files[i]);\r\n const reader = new FileReader();\r\n reader.readAsDataURL(files[i]);\r\n reader.onload = (e) => {\r\n data.push({\r\n name: files[i]?.name,\r\n file: files[i],\r\n base64: reader?.result as string,\r\n url: url,\r\n });\r\n if (files?.length === i + 1) {\r\n result.next(data);\r\n result.complete();\r\n }\r\n };\r\n });\r\n return result;\r\n } else {\r\n result.next([]);\r\n result.complete();\r\n return result;\r\n }\r\n }\r\n\r\n /**\r\n * loadFiles\r\n * @param files \r\n * @param baseConfig \r\n * @param quality \r\n * @param type \r\n * @returns \r\n */\r\n public loadFiles(files: File[] = [], baseConfig: ScannerFaceConfig, percentage?: number, quality?: number): AsyncSubject {\r\n const as = new AsyncSubject();\r\n this.overrideConfig(baseConfig);\r\n COMPRESS_IMAGE_FILE(files, percentage, quality).then((_files: File[]) => {\r\n Promise.all([..._files].map((m: File) => this.readAsDataURL(m, baseConfig))).then((img: ScannerFaceResult[]) => AS_COMPLETE(as, img)).catch((error: any) => AS_COMPLETE(as, null, error));\r\n });\r\n return as;\r\n }\r\n\r\n /**\r\n * readAsDataURL\r\n * @param file \r\n * @param baseConfig \r\n * @returns \r\n */\r\n private readAsDataURL(file: File, baseConfig: ScannerFaceConfig): Promise {\r\n /** drawImage **/\r\n return new Promise((resolve, reject) => {\r\n let fileReader = new FileReader();\r\n fileReader.onload = () => {\r\n // Set the src of this Image object.\r\n const image = new Image();\r\n // Setting cross origin value to anonymous\r\n image.setAttribute('crossOrigin', 'anonymous');\r\n // Set src\r\n image.src = URL.createObjectURL(file);\r\n // When our image has loaded.\r\n image.onload = async () => {\r\n // Get the canvas element by using the getElementById method.\r\n const canvas = document.createElement('canvas');\r\n // new Human\r\n let human = new Human(baseConfig.human); // create instance of human with overrides from user configuration\r\n // draw\r\n const draw = async () => {\r\n // main screen refresh loop\r\n let interpolated = await human.next(human.result); // smoothen result using last-known results\r\n // Update width heigth folow result human\r\n image.height = interpolated.height;\r\n image.width = interpolated.width;\r\n // Add image into canvas\r\n DRAW_IMAGE(canvas, image);\r\n await human.draw.all(canvas, interpolated); // draw labels, boxes, lines, etc.\r\n canvas.toBlob((blob: any) => {\r\n resolve({\r\n ...interpolated,\r\n name: file?.name,\r\n file: file,\r\n url: URL.createObjectURL(blob),\r\n blob: blob,\r\n });\r\n });\r\n };\r\n // Detect width and height\r\n await human.detect(image);\r\n // Draw all\r\n of(true).pipe(delay(baseConfig.timeoutDetect || 0)).subscribe(async () => await draw());\r\n };\r\n };\r\n fileReader.onerror = (error: any) => reject(error);\r\n fileReader.readAsDataURL(file);\r\n });\r\n }\r\n\r\n /**\r\n * Override Config\r\n */\r\n private overrideConfig(baseConfig: ScannerFaceConfig): void {\r\n const isNull = (field: string) => (baseConfig as any)?.[field] == null || (baseConfig as any)?.[field] == undefined;\r\n if (isNull('fps')) baseConfig.fps = FPS;\r\n if (isNull('timeoutDetect')) baseConfig.timeoutDetect = TIMEOUT_DETECT;\r\n if (isNull('isAuto')) baseConfig.isAuto = false;\r\n if (isNull('env')) baseConfig.env = ENV;\r\n if (isNull('draw')) baseConfig.draw = DRAW_OPTIONS;\r\n if (isNull('human')) baseConfig.human = CONFIG;\r\n if (isNull('constraints')) baseConfig.constraints = MEDIASTREAM;\r\n }\r\n\r\n /**\r\n * StreamToBase64\r\n * @param result \r\n * @returns \r\n */\r\n public streamToBase64(result: Result): AsyncSubject {\r\n const as = new AsyncSubject();\r\n if (result) {\r\n let canvas = document.createElement('canvas') as HTMLCanvasElement;\r\n canvas.width = result?.canvas?.width ?? 0;\r\n canvas.height = result?.canvas?.height ?? 0;\r\n const H = new Human();\r\n H.draw.canvas(result.canvas as HTMLCanvasElement, canvas); // draw processed image to screen canvas\r\n H.draw.all(canvas, result); // draw labels, boxes, lines, etc.\r\n as.next({ ...result, base64: canvas.toDataURL() });\r\n as.complete();\r\n }\r\n return as;\r\n }\r\n\r\n /**\r\n * StreamToBlobURL\r\n * @param result \r\n * @returns \r\n */\r\n public streamToBlobURL(result: Result): AsyncSubject {\r\n const as = new AsyncSubject();\r\n if (result) {\r\n let canvas = document.createElement('canvas') as HTMLCanvasElement;\r\n canvas.width = result?.canvas?.width ?? 0;\r\n canvas.height = result?.canvas?.height ?? 0;\r\n const H = new Human();\r\n H.draw.canvas(result.canvas as HTMLCanvasElement, canvas); // draw processed image to screen canvas\r\n H.draw.all(canvas, result); // draw labels, boxes, lines, etc.\r\n canvas.toBlob((blob: any) => {\r\n as.next({ ...result, blobUrl: URL.createObjectURL(blob) });\r\n as.complete();\r\n });\r\n }\r\n return as;\r\n }\r\n}\r\n","/**\r\n * @default ngx-scanner-face\r\n * @author \r\n * @package https://www.npmjs.com/package/ngx-scanner-face\r\n * @license MIT https://github.com/id1945/ngx-scanner-face/blob/master/LICENSE\r\n * @copyright \r\n*/\r\n\r\nimport { Component, ElementRef, EventEmitter, OnDestroy, OnInit, ViewChild } from '@angular/core';\r\nimport { Human } from 'ngx-scanner-face-human';\r\nimport { AsyncSubject, BehaviorSubject, delay, of } from 'rxjs';\r\nimport { CONFIG, DRAW_OPTIONS, ENV, FPS, MEDIASTREAM, TIMEOUT_DETECT } from './ngx-scanner-face.default';\r\nimport { AS_COMPLETE, DOWNLOAD, DRAW_IMAGE, OVERRIDES, RESET_CANVAS, UPDATE_WIDTH_HEIGHT_VIDEO } from './ngx-scanner-face.helper';\r\nimport { Config, Device, DrawOptions, Env, Result, ScannerFaceConfig } from './ngx-scanner-face.options';\r\n\r\n@Component({\r\n selector: 'ngx-scanner-face',\r\n template: ``,\r\n styles: [`:host { position: relative }`],\r\n inputs: ['src', 'isAuto', 'fps', 'timeoutDetect', 'constraints', 'env', 'draw', 'human', 'config', 'style', 'videoStyle', 'canvasStyle'],\r\n outputs: ['event'],\r\n exportAs: 'scanner',\r\n queries: {\r\n video: new ViewChild('video', { static: true }),\r\n canvas: new ViewChild('canvas', { static: true })\r\n }\r\n})\r\nexport class NgxScannerFaceComponent implements OnInit, OnDestroy {\r\n\r\n /**\r\n * Element\r\n * playsinline required to tell iOS safari we don't want fullscreen\r\n */\r\n public video!: ElementRef;\r\n public canvas!: ElementRef;\r\n\r\n /**\r\n * EventEmitter\r\n */\r\n public event = new EventEmitter();\r\n\r\n /**\r\n * Input\r\n */\r\n public src: string = '';\r\n public isAuto: boolean = false; // Auto start camera.\r\n public fps: number = FPS; // Frame speed ms/fps.\r\n public timeoutDetect: number = TIMEOUT_DETECT; // setTimeout 1000ms.\r\n public constraints: MediaStreamConstraints | any = MEDIASTREAM;\r\n public env: Partial = {};\r\n public draw: Partial = {};\r\n public human: Partial = {};\r\n public config: ScannerFaceConfig = {};\r\n public style: any = null;\r\n public videoStyle: any = null;\r\n public canvasStyle: any = null;\r\n\r\n /**\r\n * Export\r\n */\r\n public isStart: boolean = false;\r\n public isPause: boolean = false;\r\n public isLoading: boolean = false;\r\n public isTorch: boolean = false;\r\n public data = new BehaviorSubject>({});\r\n public devices = new BehaviorSubject([]);\r\n public deviceIndexActive: number = 0;\r\n\r\n private H_OBJ!: Human;\r\n private detectionLoop: any;\r\n private drawLoop: any;\r\n private interpolated!: Result;\r\n\r\n private STATUS = {\r\n startON: () => this.isStart = true,\r\n pauseON: () => this.isPause = true,\r\n loadingON: () => this.isLoading = true,\r\n startOFF: () => this.isStart = false,\r\n pauseOFF: () => this.isPause = false,\r\n loadingOFF: () => this.isLoading = false,\r\n torchOFF: () => this.isTorch = false,\r\n }\r\n\r\n ngOnInit(): void {\r\n this.overrideConfig();\r\n if (this.src) {\r\n this.loadImage(this.src);\r\n } else if (this.isAuto) {\r\n this.start();\r\n }\r\n }\r\n\r\n /**\r\n * start\r\n * @param playDeviceCustom \r\n * @returns \r\n */\r\n public start(playDeviceCustom?: Function): AsyncSubject {\r\n const as = new AsyncSubject();\r\n if (this.isStart) {\r\n // Reject\r\n AS_COMPLETE(as, false);\r\n } else {\r\n // fix safari\r\n this.safariWebRTC(as, playDeviceCustom);\r\n }\r\n return as;\r\n }\r\n\r\n /**\r\n * playDevice\r\n * @param deviceId \r\n * @param as \r\n * @returns \r\n */\r\n public playDevice(deviceId: string, as: AsyncSubject = new AsyncSubject()): AsyncSubject {\r\n const existDeviceId = this.isStart ? this.getConstraints().deviceId !== deviceId : true;\r\n switch (true) {\r\n case deviceId === 'null' || deviceId === 'undefined' || !deviceId:\r\n stop();\r\n this.stop();\r\n AS_COMPLETE(as, false);\r\n break;\r\n case deviceId && existDeviceId:\r\n stop();\r\n this.stop();\r\n // Loading on\r\n this.STATUS.loadingON();\r\n this.deviceIndexActive = this.devices.value.findIndex((f: Device) => f.deviceId === deviceId);\r\n const constraints = { ...this.constraints, audio: false, video: { deviceId: deviceId, ...this.constraints.video } };\r\n // MediaStream\r\n const run = async () => {\r\n try {\r\n // new Human\r\n this.H_OBJ = new Human(this.human); // create instance of human with overrides from user configuration\r\n this.overrideEnv(this.H_OBJ);\r\n this.overrideDraw(this.H_OBJ);\r\n // grab instances of dom objects so we dont have to look them up later\r\n const dom = {\r\n video: this.video.nativeElement as HTMLVideoElement,\r\n canvas: this.canvas.nativeElement as HTMLCanvasElement\r\n };\r\n\r\n const webCam = async () => { // initialize webcam\r\n const stream: MediaStream = await navigator.mediaDevices.getUserMedia(constraints);\r\n const ready = new Promise((resolve) => { dom.video.onloadeddata = () => resolve(true); });\r\n dom.video.srcObject = stream;\r\n void dom.video.play();\r\n await ready;\r\n dom.canvas.width = dom.video.videoWidth;\r\n dom.canvas.height = dom.video.videoHeight;\r\n }\r\n\r\n this.detectionLoop = async () => { // main detection loop\r\n if (this.isStart && !this.isPause) {\r\n await this.H_OBJ.detect(dom.video); // actual detection; were not capturing output in a local variable as it can also be reached via human.result\r\n setTimeout(async () => await this.detectionLoop(), this.fps);\r\n }\r\n }\r\n\r\n this.drawLoop = async () => { // main screen refresh loop\r\n if (this.isStart && !this.isPause) {\r\n this.interpolated = { ...this.H_OBJ.result, canvas2: dom.canvas, base64: '' }; // smoothen result using last-known results\r\n RESET_CANVAS(dom.canvas);\r\n // draw only frame\r\n await this.H_OBJ.draw.all(dom.canvas, this.interpolated); // draw labels, boxes, lines, etc.\r\n this.interpolated.base64 = dom.canvas.toDataURL();\r\n this.eventEmit(this.interpolated);\r\n setTimeout(async () => await this.drawLoop(), this.fps); // use to slow down refresh from max refresh rate to target of 30 fps\r\n }\r\n }\r\n\r\n await this.H_OBJ.warmup(); // warmup function to initialize backend for future faster detection\r\n await webCam(); // start webcam\r\n this.STATUS.startON();\r\n this.STATUS.loadingOFF();\r\n await this.detectionLoop(); // start detection loop\r\n await this.drawLoop(); // start draw loop\r\n AS_COMPLETE(as, true);\r\n } catch (error: any) {\r\n this.STATUS.startOFF();\r\n this.STATUS.loadingOFF();\r\n this.eventEmit(null);\r\n AS_COMPLETE(as, false, error);\r\n }\r\n }\r\n run();\r\n break;\r\n default:\r\n AS_COMPLETE(as, false);\r\n this.STATUS.loadingOFF();\r\n break;\r\n }\r\n return as;\r\n }\r\n\r\n /**\r\n * stop\r\n * @return AsyncSubject\r\n */\r\n public stop(): AsyncSubject {\r\n this.STATUS.pauseOFF();\r\n this.STATUS.startOFF();\r\n this.STATUS.torchOFF();\r\n this.STATUS.loadingOFF();\r\n const as = new AsyncSubject();\r\n try {\r\n (this.video?.nativeElement?.srcObject as any)?.getTracks()?.forEach((track: any) => {\r\n track?.stop();\r\n AS_COMPLETE(as, true);\r\n DRAW_IMAGE(this.canvas.nativeElement, createImageBitmap(this.video?.nativeElement));\r\n });\r\n } catch (error: any) {\r\n AS_COMPLETE(as, false, error);\r\n }\r\n return as;\r\n }\r\n\r\n /**\r\n * play\r\n * @return AsyncSubject\r\n */\r\n public play(): AsyncSubject {\r\n const as = new AsyncSubject();\r\n if (this.isPause) {\r\n this.video?.nativeElement?.play();\r\n this.STATUS.pauseOFF();\r\n this.detectionLoop();\r\n this.drawLoop();\r\n AS_COMPLETE(as, true);\r\n } else {\r\n AS_COMPLETE(as, false);\r\n }\r\n return as;\r\n }\r\n\r\n /**\r\n * pause\r\n * @return AsyncSubject \r\n */\r\n public pause(): AsyncSubject {\r\n const as = new AsyncSubject();\r\n if (this.isStart) {\r\n this.video?.nativeElement?.pause();\r\n this.STATUS.pauseON();\r\n AS_COMPLETE(as, true);\r\n } else {\r\n AS_COMPLETE(as, false);\r\n }\r\n return as;\r\n }\r\n\r\n /**\r\n * torcher\r\n * @returns \r\n */\r\n public torcher(): AsyncSubject {\r\n const as = this.applyConstraints({ advanced: [{ torch: this.isTorch }] });\r\n as.subscribe(() => false, () => this.isTorch = !this.isTorch);\r\n return as;\r\n }\r\n\r\n /**\r\n * loadImage\r\n * @param src \r\n */\r\n public loadImage(src: string): AsyncSubject {\r\n let as = new AsyncSubject();\r\n // hidden video element\r\n this.canvas.nativeElement.style.backgroundColor = '#262626';\r\n this.canvas.nativeElement.style.width = '';\r\n this.canvas.nativeElement.style.position = '';\r\n this.canvas.nativeElement.style.maxWidth = '100%';\r\n this.video.nativeElement.style.display = 'none';\r\n // Set the src of this Image object.\r\n const image = new Image();\r\n // Setting cross origin value to anonymous\r\n image.setAttribute('crossOrigin', 'anonymous');\r\n // Set src\r\n image.src = src;\r\n // When our image has loaded.\r\n image.onload = async () => {\r\n // Loading on\r\n this.STATUS.startOFF();\r\n this.STATUS.loadingON();\r\n // new Human\r\n let human = new Human(this.human); // create instance of human with overrides from user configuration\r\n this.overrideEnv(human);\r\n this.overrideDraw(human);\r\n // draw\r\n const draw = async () => { // main screen refresh loop\r\n // main screen refresh loop\r\n let interpolated = await human.next(human.result) as Result; // smoothen result using last-known results\r\n // Update width heigth folow result human\r\n image.height = interpolated.height;\r\n image.width = interpolated.width;\r\n // draw frame on image\r\n DRAW_IMAGE(this.canvas.nativeElement, image);\r\n // draw all\r\n await human.draw.all(this.canvas.nativeElement, interpolated); // draw labels, boxes, lines, etc.\r\n interpolated.canvas2 = this.canvas.nativeElement;\r\n interpolated.base64 = this.canvas.nativeElement.toDataURL();\r\n this.eventEmit(interpolated);\r\n this.STATUS.startOFF();\r\n this.STATUS.loadingOFF();\r\n AS_COMPLETE(as, true);\r\n }\r\n // Detect width and height\r\n await human.detect(image);\r\n // Draw all\r\n of(true).pipe(delay(this.timeoutDetect)).subscribe(async () => await draw());\r\n };\r\n\r\n // error\r\n image.onerror = (error: any) => AS_COMPLETE(as, false, error);\r\n\r\n return as;\r\n }\r\n\r\n /**\r\n * applyConstraints\r\n * @param constraints \r\n * @param deviceIndex \r\n * @returns \r\n */\r\n public applyConstraints(constraints: MediaTrackConstraintSet | MediaTrackConstraints | any, deviceIndex = 0): AsyncSubject {\r\n const as = new AsyncSubject();\r\n if (this.isStart) {\r\n const stream = this.video.nativeElement.srcObject as MediaStream;\r\n if (deviceIndex !== null || deviceIndex !== undefined || !Number.isNaN(deviceIndex)) {\r\n const videoTrack = stream.getVideoTracks()[deviceIndex] as MediaStreamTrack;\r\n const imageCapture = new (window as any).ImageCapture(videoTrack);\r\n imageCapture.getPhotoCapabilities().then(async () => {\r\n await videoTrack.applyConstraints(constraints);\r\n const SCALE = setInterval(() => UPDATE_WIDTH_HEIGHT_VIDEO(this.video.nativeElement, this.canvas.nativeElement), 1000);\r\n setTimeout(() => clearInterval(SCALE), 3000);\r\n AS_COMPLETE(as, true);\r\n }).catch((error: any) => {\r\n switch (error?.name) {\r\n case 'NotFoundError':\r\n case 'DevicesNotFoundError':\r\n AS_COMPLETE(as, false, 'Required track is missing' as string);\r\n break;\r\n case 'NotReadableError':\r\n case 'TrackStartError':\r\n AS_COMPLETE(as, false, 'Webcam or mic are already in use' as string);\r\n break;\r\n case 'OverconstrainedError':\r\n case 'ConstraintNotSatisfiedError':\r\n AS_COMPLETE(as, false, 'Constraints can not be satisfied by avb. devices' as string);\r\n break;\r\n case 'NotAllowedError':\r\n case 'PermissionDeniedError':\r\n AS_COMPLETE(as, false, 'Permission denied in browser' as string);\r\n break;\r\n case 'TypeError':\r\n AS_COMPLETE(as, false, 'Empty constraints object' as string);\r\n break;\r\n default:\r\n AS_COMPLETE(as, false, error as any);\r\n break;\r\n }\r\n });\r\n } else {\r\n AS_COMPLETE(as, false, 'Please check again deviceIndex' as string);\r\n }\r\n } else {\r\n AS_COMPLETE(as, false, 'Please start the scanner' as string);\r\n }\r\n return as;\r\n };\r\n\r\n /**\r\n * getConstraints\r\n * @param deviceIndex \r\n * @returns \r\n */\r\n public getConstraints(deviceIndex = 0): MediaTrackConstraintSet | MediaTrackConstraints {\r\n const stream = this.video.nativeElement.srcObject as MediaStream;\r\n const videoTrack = stream?.getVideoTracks()[deviceIndex] as MediaStreamTrack;\r\n return videoTrack?.getConstraints() as MediaTrackConstraints;\r\n }\r\n\r\n /**\r\n * download\r\n * @param fileName \r\n * @return AsyncSubject\r\n */\r\n public download(fileName: string = `ngx_scanner_face_${Date.now()}.png`): AsyncSubject {\r\n const as = new AsyncSubject();\r\n const canvas = document.createElement('canvas') as HTMLCanvasElement;\r\n canvas.width = this.video.nativeElement.videoWidth;\r\n canvas.height = this.video.nativeElement.videoHeight;\r\n // draw labels, boxes, lines, etc.\r\n (async () => {\r\n // Draw frame on origin element canvas (this.interpolated.canvas is origin)\r\n await this.H_OBJ.draw.canvas((this.interpolated as any).canvas as HTMLCanvasElement, canvas); // draw processed image to screen canvas\r\n // draw human\r\n await this.H_OBJ.draw.all(canvas, this.interpolated);\r\n // toBlob and emit data\r\n const dataURL = canvas.toDataURL(`image/${fileName?.split('.')?.slice(-1)?.toString()}`);\r\n canvas.toBlob((blob: any) => {\r\n DOWNLOAD(dataURL, fileName);\r\n AS_COMPLETE(as, {\r\n ...this.interpolated,\r\n url: URL.createObjectURL(blob),\r\n canvas2: canvas,\r\n base64: dataURL\r\n });\r\n });\r\n })();\r\n return as;\r\n }\r\n\r\n /**\r\n * Override Config\r\n */\r\n private overrideConfig(): void {\r\n this.fps = this.config?.fps ?? this.fps ?? FPS;\r\n this.timeoutDetect = this.config?.timeoutDetect ?? this.timeoutDetect ?? TIMEOUT_DETECT;\r\n this.isAuto = this.config?.isAuto ?? this.isAuto ?? false;\r\n this.env = OVERRIDES(ENV, this.config?.env ?? this.env) as Partial;\r\n this.draw = OVERRIDES(DRAW_OPTIONS, this.config?.draw ?? this.draw) as Partial;\r\n this.human = OVERRIDES(CONFIG, this.config?.human ?? this.human) as Partial;\r\n this.constraints = OVERRIDES(MEDIASTREAM, this.config?.constraints ?? this.constraints) as MediaStreamConstraints;\r\n }\r\n\r\n /**\r\n * Override Env\r\n * @return void\r\n */\r\n private overrideEnv(human: Partial): void {\r\n // Set env\r\n for (const key in this.env) {\r\n (human.env as any)[key] = (this.env as any)[key];\r\n }\r\n }\r\n\r\n /**\r\n * Override drawOptions\r\n * @return void\r\n */\r\n private overrideDraw(human: Partial): void {\r\n // Set drawOptions\r\n for (const key in this.draw) {\r\n (human.draw as any).options[key] = (this.draw as any)[key];\r\n }\r\n }\r\n\r\n /**\r\n * Fix issue on safari\r\n * https://webrtchacks.com/guide-to-safari-webrtc\r\n * @param as \r\n * @param playDeviceCustom \r\n */\r\n private safariWebRTC(as: AsyncSubject, playDeviceCustom?: Function): void {\r\n // Loading on\r\n this.STATUS.startOFF();\r\n this.STATUS.loadingON();\r\n navigator.mediaDevices.getUserMedia(this.constraints).then((stream: MediaStream) => {\r\n stream.getTracks().forEach(track => track.stop());\r\n this.loadAllDevices(as, playDeviceCustom);\r\n }).catch(error => {\r\n this.STATUS.startOFF();\r\n this.STATUS.loadingOFF();\r\n AS_COMPLETE(as, false, error);\r\n });\r\n }\r\n\r\n /**\r\n * loadAllDevices\r\n * @param as \r\n * @param playDeviceCustom \r\n */\r\n private loadAllDevices(as: AsyncSubject, playDeviceCustom?: Function): void {\r\n navigator.mediaDevices.enumerateDevices().then(devices => {\r\n let cameraDevices: Device[] = devices.filter(f => f.kind == 'videoinput');\r\n this.devices.next(cameraDevices);\r\n if (cameraDevices.length > 0) {\r\n AS_COMPLETE(as, cameraDevices);\r\n playDeviceCustom ? playDeviceCustom(cameraDevices) : this.playDevice(cameraDevices[0].deviceId);\r\n } else {\r\n this.STATUS.startOFF();\r\n this.STATUS.loadingOFF();\r\n AS_COMPLETE(as, false, 'No camera detected.' as any);\r\n }\r\n }).catch(error => {\r\n this.STATUS.startOFF();\r\n this.STATUS.loadingOFF();\r\n AS_COMPLETE(as, false, error);\r\n });\r\n }\r\n\r\n /**\r\n * eventEmit\r\n * @param response \r\n */\r\n private eventEmit(response: any = false): void {\r\n (response !== false) && this.data.next(response ?? null);\r\n (response !== false) && this.event.emit(response ?? null);\r\n }\r\n\r\n ngOnDestroy(): void {\r\n this.pause();\r\n }\r\n}\r\n","import {\r\n Env as H_Env,\r\n Human as H_Human,\r\n Config as H_Config,\r\n Result as H_Result,\r\n DrawOptions as H_DrawOptions,\r\n // Config\r\n FilterConfig as H_FilterConfig,\r\n GestureConfig as H_GestureConfig,\r\n FaceConfig as H_FaceConfig,\r\n BodyConfig as H_BodyConfig,\r\n HandConfig as H_HandConfig,\r\n ObjectConfig as H_ObjectConfig,\r\n SegmentationConfig as H_SegmentationConfig,\r\n // Result\r\n FaceResult as H_FaceResult,\r\n BodyResult as H_BodyResult,\r\n HandResult as H_HandResult,\r\n GestureResult as H_GestureResult,\r\n ObjectResult as H_ObjectResult,\r\n PersonResult as H_PersonResult,\r\n // FaceConfig\r\n FaceDetectorConfig as H_FaceDetectorConfig,\r\n FaceMeshConfig as H_FaceMeshConfig,\r\n FaceDescriptionConfig as H_FaceDescriptionConfig,\r\n FaceEmotionConfig as H_FaceEmotionConfig,\r\n FaceGearConfig as H_FaceGearConfig,\r\n} from 'ngx-scanner-face-human';\r\n\r\n// Models\r\nexport class Env extends H_Env { }\r\n\r\nexport class Human extends H_Human { }\r\n\r\nexport interface Config extends H_Config { }\r\n\r\nexport interface DrawOptions extends H_DrawOptions { }\r\n\r\nexport interface Result extends H_Result {\r\n canvas2: HTMLCanvasElement;\r\n base64: string;\r\n blobUrl?: string;\r\n}\r\n\r\nexport interface ScannerFaceConfig {\r\n src?: string;\r\n isAuto?: boolean;\r\n isLoading?: boolean;\r\n fps?: number;\r\n timeoutDetect?: number;\r\n env?: Partial;\r\n draw?: Partial;\r\n human?: Partial;\r\n constraints?: MediaStreamConstraints;\r\n}\r\n\r\nexport interface ScannerFaceResult {\r\n file?: File;\r\n name?: string;\r\n url?: string;\r\n blob?: any;\r\n base64?: string;\r\n result?: Result;\r\n}\r\n\r\nexport interface Device {\r\n deviceId: string;\r\n kind: string;\r\n label: string;\r\n groupId: string;\r\n}\r\n\r\n// Models in Config \r\n\r\nexport interface FilterConfig extends H_FilterConfig { }\r\n\r\nexport interface GestureConfig extends H_GestureConfig { }\r\n\r\nexport interface FaceConfig extends H_FaceConfig { }\r\n\r\nexport interface BodyConfig extends H_BodyConfig { }\r\n\r\nexport interface HandConfig extends H_HandConfig { }\r\n\r\nexport interface ObjectConfig extends H_ObjectConfig { }\r\n\r\nexport interface SegmentationConfig extends H_SegmentationConfig { }\r\n\r\n// Result\r\n\r\nexport interface FaceResult extends H_FaceResult { }\r\n\r\nexport interface BodyResult extends H_BodyResult { }\r\n\r\nexport interface HandResult extends H_HandResult { }\r\n\r\nexport type GestureResult = H_GestureResult;\r\n\r\nexport interface ObjectResult extends H_ObjectResult { }\r\n\r\nexport interface PersonResult extends H_PersonResult { }\r\n\r\n// Models in FaceConfig\r\n\r\nexport interface FaceDetectorConfig extends H_FaceDetectorConfig { }\r\n\r\nexport interface FaceMeshConfig extends H_FaceMeshConfig { }\r\n\r\nexport interface FaceDescriptionConfig extends H_FaceDescriptionConfig { }\r\n\r\nexport interface FaceEmotionConfig extends H_FaceEmotionConfig { }\r\n\r\nexport interface FaceGearConfig extends H_FaceGearConfig { }","/**\r\n * @default ngx-scanner-face\r\n * @author \r\n * @package https://www.npmjs.com/package/ngx-scanner-face\r\n * @license MIT https://github.com/id1945/ngx-scanner-face/blob/master/LICENSE\r\n * @copyright \r\n*/\r\n\r\nimport { NgModule } from '@angular/core';\r\nimport { NgxScannerFaceComponent } from './ngx-scanner-face.component';\r\n\r\n@NgModule({\r\n declarations: [\r\n NgxScannerFaceComponent\r\n ],\r\n exports: [\r\n NgxScannerFaceComponent\r\n ]\r\n})\r\nexport class NgxScannerFaceModule { }\r\n","/*\r\n * Public API Surface of ngx-scanner-face\r\n */\r\n\r\nexport * from './lib/ngx-scanner-face.service';\r\nexport * from './lib/ngx-scanner-face.component';\r\nexport * from './lib/ngx-scanner-face.options';\r\nexport * from './lib/ngx-scanner-face.module';\r\n","/**\n * Generated bundle index. 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