commit

build/assets/selfieSegmentation/README.md

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+# MediaPipe JavaScript Solutions
+
+MediaPipe offers out of the box solutions to use our ML technology with live and streaming media.
+
+Visit us as [mediapipe.dev]()
+
+See live demos of our JavaScript solutions at [code.mediapipe.dev/codepen]()
+
+For more information on each of the solutions and how to use them, visit https://google.github.io/mediapipe/getting_started/javascript.
+

build/assets/selfieSegmentation/index.d.ts

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+/**
+ * @fileoverview Declarations for the face tracking API.
+ */
+
+/**
+ * Version number of this package.
+ */
+export const VERSION: string;
+
+/**
+ * We support several ways to get image inputs.
+ */
+export type InputImage = HTMLVideoElement | HTMLImageElement | HTMLCanvasElement;
+
+/**
+ * Legal inputs.
+ */
+export interface InputMap {
+  image: InputImage;
+}
+
+/**
+ * GpuBuffers should all be compatible with Canvas' `drawImage`
+ */
+type GpuBuffer = HTMLCanvasElement | HTMLImageElement | ImageBitmap;
+
+/**
+ * Possible results from SelfieSegmentation.
+ */
+export interface Results {
+  image: GpuBuffer;
+  segmentationMask: GpuBuffer;
+}
+
+/**
+ * Configurable options for SelfieSegmentation.
+ */
+export interface Options {
+  selfieMode?: boolean;
+  modelSelection?: number;
+}
+
+/**
+ * Listener for any results from SelfieSegmentation.
+ */
+export type ResultsListener = (results: Results) => (Promise<void>|void);
+
+/**
+ * Contains all of the setup options to drive the face solution.
+ */
+export interface SelfieSegmentationConfig {
+  locateFile?: (path: string, prefix?: string) => string;
+}
+
+/**
+ * Declares the interface of SelfieSegmentation.
+ */
+declare interface SelfieSegmentationInterface {
+  close(): Promise<void>;
+  onResults(listener: ResultsListener): void;
+  initialize(): Promise<void>;
+  reset(): void;
+  send(inputs: InputMap): Promise<void>;
+  setOptions(options: Options): void;
+}
+
+/**
+ * Encapsulates the entire SelfieSegmentation solution. All that is needed from the
+ * developer is the source of the image data. The user will call `send`
+ * repeatedly and if a face is detected, then the user can receive callbacks
+ * with this metadata.
+ */
+export declare class SelfieSegmentation implements SelfieSegmentationInterface {
+  constructor(config?: SelfieSegmentationConfig);
+
+  /**
+   * Shuts down the object. Call before creating a new instance.
+   */
+  close(): Promise<void>;
+
+  /**
+   * Registers a single callback that will carry any results that occur
+   * after calling Send().
+   */
+  onResults(listener: ResultsListener): void;
+
+  /**
+   * Initializes the solution. This includes loading ML models and mediapipe
+   * configurations, as well as setting up potential listeners for metadata. If
+   * `initialize` is not called manually, then it will be called the first time
+   * the developer calls `send`.
+   */
+  initialize(): Promise<void>;
+
+  /**
+   * Tells the graph to restart before the next frame is sent.
+   */
+  reset(): void;
+
+  /**
+   * Processes a single frame of data, which depends on the options sent to the
+   * constructor.
+   */
+  send(inputs: InputMap): Promise<void>;
+
+  /**
+   * Adjusts options in the solution. This may trigger a graph reload the next
+   * time the graph tries to run.
+   */
+  setOptions(options: Options): void;
+}

build/assets/selfieSegmentation/package.json

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+{
+  "name": "@mediapipe/selfie_segmentation",
+  "version": "0.1.1675465747",
+  "description": "Mediapipe Selfie Segmentation Solution",
+  "main": "selfie_segmentation.js",
+  "module": "selfie_segmentation.js",
+  "jsdelivr": "selfie_segmentation.js",
+  "unpkg": "selfie_segmentation.js",
+  "types": "index.d.ts",
+  "author": "mhays@google.com",
+  "license": "Apache-2.0",
+  "homepage": "https://google.github.io/mediapipe/solutions/selfie_segmentation",
+  "keywords": [ "AR", "ML", "Augmented" ],
+  "devDependencies": {
+  },
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "dependencies": {
+  },
+  "browser": {
+    "node-fetch": false,
+    "util": false,
+    "crypto": false
+  },
+  "sideEffects" : []
+}