@lightsailed/ngx-open-cv/fesm2022/lightsailed-ngx-open-cv.mjs.map

Angular 19+ library integration for OpenCV.js

{"version":3,"file":"lightsailed-ngx-open-cv.mjs","sources":["../../../projects/ngx-open-cv/src/lib/ng-open-cv.service.ts","../../../projects/ngx-open-cv/src/lib/ng-open-cv.module.ts","../../../projects/ngx-open-cv/src/public_api.ts","../../../projects/ngx-open-cv/src/lightsailed-ngx-open-cv.ts"],"sourcesContent":["import { Inject, Injectable, InjectionToken } from '@angular/core';\nimport { BehaviorSubject, Observable } from 'rxjs';\n\nimport { OpenCVLoadResult, OpenCVOptions } from './ng-open-cv.models';\n\n/*\nAngular modifification of the OpenCV utils script found at https://docs.opencv.org/master/utils.js\n*/\ndeclare var cv: any;\n\nexport const OPEN_CV_CONFIGURATION = new InjectionToken<OpenCVOptions>('Angular OpenCV Configuration Object');\n\n@Injectable({\n  providedIn: 'root'\n})\nexport class NgOpenCVService {\n  errorOutput: HTMLElement;\n  src = null;\n  dstC1 = null;\n  dstC3 = null;\n  dstC4 = null;\n\n  stream: any;\n  video: any;\n  private isReady = new BehaviorSubject<OpenCVLoadResult>({\n    ready: false,\n    error: false,\n    loading: true\n  });\n  isReady$: Observable<OpenCVLoadResult> = this.isReady.asObservable();\n  onCameraStartedCallback: (a, b) => void;\n  OPENCV_URL = 'opencv.js';\n  DEFAULT_OPTIONS = {\n    scriptUrl: 'assets/opencv/asm/3.4/opencv.js',\n    wasmBinaryFile: 'wasm/3.4/opencv_js.wasm',\n    usingWasm: false,\n    locateFile: this.locateFile.bind(this),\n    onRuntimeInitialized: () => {}\n  };\n\n  constructor(@Inject(OPEN_CV_CONFIGURATION) options: OpenCVOptions) {\n    this.setScriptUrl(options.scriptUrl);\n    const opts = { ...this.DEFAULT_OPTIONS, options };\n    this.loadOpenCv(opts);\n  }\n\n  private locateFile(path, scriptDirectory): string {\n    if (path === 'opencv_js.wasm') {\n      return scriptDirectory + '/wasm/' + path;\n    } else {\n      return scriptDirectory + path;\n    }\n  }\n\n  setScriptUrl(url: string) {\n    this.OPENCV_URL = url;\n  }\n\n  loadOpenCv(options: OpenCVOptions) {\n    this.isReady.next({\n      ready: false,\n      error: false,\n      loading: true\n    });\n    window['Module'] = { ...options };\n    const script = document.createElement('script');\n    script.setAttribute('async', '');\n    script.setAttribute('type', 'text/javascript');\n    script.addEventListener('load', () => {\n      const onRuntimeInitializedCallback = () => {\n        if (options.onRuntimeInitialized) {\n          options.onRuntimeInitialized();\n        }\n        this.isReady.next({\n          ready: true,\n          error: false,\n          loading: false\n        });\n      };\n      cv.onRuntimeInitialized = onRuntimeInitializedCallback;\n    });\n    script.addEventListener('error', () => {\n      const err = this.printError('Failed to load ' + this.OPENCV_URL);\n      this.isReady.next({\n        ready: false,\n        error: true,\n        loading: false\n      });\n      this.isReady.error(err);\n    });\n    script.src = this.OPENCV_URL;\n    const node = document.getElementsByTagName('script')[0];\n    if (node) {\n      node.parentNode.insertBefore(script, node);\n    } else {\n      document.head.appendChild(script);\n    }\n  }\n\n  createFileFromUrl(path, url) {\n    const request = new XMLHttpRequest();\n    request.open('GET', url, true);\n    request.responseType = 'arraybuffer';\n    return new Observable(observer => {\n      const { next, error: catchError, complete } = observer;\n      request.onload = ev => {\n        if (request.readyState === 4) {\n          if (request.status === 200) {\n            const data = new Uint8Array(request.response);\n            cv.FS_createDataFile('/', path, data, true, false, false);\n            observer.next();\n            observer.complete();\n          } else {\n            this.printError('Failed to load ' + url + ' status: ' + request.status);\n            observer.error();\n          }\n        }\n      };\n      request.send();\n    });\n  }\n\n  loadImageToCanvas(imageUrl, canvasId: string): Observable<any> {\n    return Observable.create(observer => {\n      const canvas: HTMLCanvasElement = <HTMLCanvasElement>document.getElementById(canvasId);\n      const ctx = canvas.getContext('2d');\n      const img = new Image();\n      img.crossOrigin = 'anonymous';\n      img.onload = () => {\n        canvas.width = img.width;\n        canvas.height = img.height;\n        ctx.drawImage(img, 0, 0, img.width, img.height);\n        observer.next();\n        observer.complete();\n      };\n      img.src = imageUrl;\n    });\n  }\n\n  loadImageToHTMLCanvas(imageUrl: string, canvas: HTMLCanvasElement): Observable<any> {\n    return Observable.create(observer => {\n      const ctx = canvas.getContext('2d');\n      const img = new Image();\n      img.crossOrigin = 'anonymous';\n      img.onload = () => {\n        canvas.width = img.width;\n        canvas.height = img.height;\n        ctx.drawImage(img, 0, 0, img.width, img.height);\n        observer.next();\n        observer.complete();\n      };\n      img.src = imageUrl;\n    });\n  }\n\n  clearError() {\n    this.errorOutput.innerHTML = '';\n  }\n\n  printError(err) {\n    if (typeof err === 'undefined') {\n      err = '';\n    } else if (typeof err === 'number') {\n      if (!isNaN(err)) {\n        if (typeof cv !== 'undefined') {\n          err = 'Exception: ' + cv.exceptionFromPtr(err).msg;\n        }\n      }\n    } else if (typeof err === 'string') {\n      const ptr = Number(err.split(' ')[0]);\n      if (!isNaN(ptr)) {\n        if (typeof cv !== 'undefined') {\n          err = 'Exception: ' + cv.exceptionFromPtr(ptr).msg;\n        }\n      }\n    } else if (err instanceof Error) {\n      err = err.stack.replace(/\\n/g, '<br>');\n    }\n    throw new Error(err);\n  }\n\n  loadCode(scriptId, textAreaId) {\n    const scriptNode = <HTMLScriptElement>document.getElementById(scriptId);\n    const textArea = <HTMLTextAreaElement>document.getElementById(textAreaId);\n    if (scriptNode.type !== 'text/code-snippet') {\n      throw Error('Unknown code snippet type');\n    }\n    textArea.value = scriptNode.text.replace(/^\\n/, '');\n  }\n\n  addFileInputHandler(fileInputId, canvasId) {\n    const inputElement = document.getElementById(fileInputId);\n    inputElement.addEventListener(\n      'change',\n      e => {\n        const files = e.target['files'];\n        if (files.length > 0) {\n          const imgUrl = URL.createObjectURL(files[0]);\n          this.loadImageToCanvas(imgUrl, canvasId);\n        }\n      },\n      false\n    );\n  }\n\n  onVideoCanPlay() {\n    if (this.onCameraStartedCallback) {\n      this.onCameraStartedCallback(this.stream, this.video);\n    }\n  }\n\n  startCamera(resolution, callback, videoId) {\n    const constraints = {\n      qvga: { width: { exact: 320 }, height: { exact: 240 } },\n      vga: { width: { exact: 640 }, height: { exact: 480 } }\n    };\n    let video = <HTMLVideoElement>document.getElementById(videoId);\n    if (!video) {\n      video = document.createElement('video');\n    }\n\n    let videoConstraint = constraints[resolution];\n    if (!videoConstraint) {\n      videoConstraint = true;\n    }\n\n    navigator.mediaDevices\n      .getUserMedia({ video: videoConstraint, audio: false })\n      .then(stream => {\n        video.srcObject = stream;\n        video.play();\n        this.video = video;\n        this.stream = stream;\n        this.onCameraStartedCallback = callback;\n        video.addEventListener('canplay', this.onVideoCanPlay.bind(this), false);\n      })\n      .catch(err => {\n        this.printError('Camera Error: ' + err.name + ' ' + err.message);\n      });\n  }\n\n  stopCamera() {\n    if (this.video) {\n      this.video.pause();\n      this.video.srcObject = null;\n      this.video.removeEventListener('canplay', this.onVideoCanPlay.bind(this));\n    }\n    if (this.stream) {\n      this.stream.getVideoTracks()[0].stop();\n    }\n  }\n\n  getContours(src, width, height) {\n    cv.cvtColor(src, this.dstC1, cv.COLOR_RGBA2GRAY);\n    cv.threshold(this.dstC1, this.dstC4, 120, 200, cv.THRESH_BINARY);\n    const contours = new cv.MatVector();\n    const hierarchy = new cv.Mat();\n    cv.findContours(this.dstC4, contours, hierarchy, cv.RETR_CCOMP, cv.CHAIN_APPROX_SIMPLE, {\n      x: 0,\n      y: 0\n    });\n    this.dstC3.delete();\n    this.dstC3 = cv.Mat.ones(height, width, cv.CV_8UC3);\n    for (let i = 0; i < contours.size(); ++i) {\n      const color = new cv.Scalar(0, 255, 0);\n      cv.drawContours(this.dstC3, contours, i, color, 1, cv.LINE_8, hierarchy);\n    }\n    contours.delete();\n    hierarchy.delete();\n    return this.dstC3;\n  }\n}\n","import { NgModule, ModuleWithProviders } from '@angular/core';\nimport { NgOpenCVService, OPEN_CV_CONFIGURATION } from './ng-open-cv.service';\nimport { OpenCVOptions } from './ng-open-cv.models';\n\n@NgModule({\n  imports: [],\n  declarations: [],\n  exports: [],\n  providers: [NgOpenCVService]\n})\nexport class NgOpenCVModule {\n  /**\n   *\n   * Setup the module in your application's root bootstrap.\n   *\n   *\n   * @memberOf NgOpenCvModule\n   */\n  static forRoot(config: OpenCVOptions): ModuleWithProviders<NgOpenCVModule> {\n    return {\n      ngModule: NgOpenCVModule,\n      providers: [{ provide: OPEN_CV_CONFIGURATION, useValue: config }]\n    };\n  }\n}\n","/*\n * Public API Surface of ngx-open-cv\n */\n\nexport * from './lib/ng-open-cv.models';\nexport * from './lib/ng-open-cv.service';\nexport * from './lib/ng-open-cv.module';\n\n","/**\n * Generated bundle index. 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