Internal

PiperOrigin-RevId: 563843599

mediapipe/tasks/web/audio/audio_classifier/audio_classifier.ts

@@ -51,6 +51,7 @@ export class AudioClassifier extends AudioTaskRunner<AudioClassifierResult[]> {
   /**
    * Initializes the Wasm runtime and creates a new audio classifier from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param audioClassifierOptions The options for the audio classifier. Note
@@ -67,6 +68,7 @@ export class AudioClassifier extends AudioTaskRunner<AudioClassifierResult[]> {
   /**
    * Initializes the Wasm runtime and creates a new audio classifier based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -81,6 +83,7 @@ export class AudioClassifier extends AudioTaskRunner<AudioClassifierResult[]> {
   /**
    * Initializes the Wasm runtime and creates a new audio classifier based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -116,6 +119,7 @@ export class AudioClassifier extends AudioTaskRunner<AudioClassifierResult[]> {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the audio classifier.
    */
   override setOptions(options: AudioClassifierOptions): Promise<void> {
@@ -130,6 +134,7 @@ export class AudioClassifier extends AudioTaskRunner<AudioClassifierResult[]> {
    * Performs audio classification on the provided audio clip and waits
    * synchronously for the response.
    *
+   * @export
    * @param audioData An array of raw audio capture data, like from a call to
    *     `getChannelData()` on an AudioBuffer.
    * @param sampleRate The sample rate in Hz of the provided audio data. If not

mediapipe/tasks/web/audio/audio_embedder/audio_embedder.ts

@@ -51,6 +51,7 @@ export class AudioEmbedder extends AudioTaskRunner<AudioEmbedderResult[]> {
   /**
    * Initializes the Wasm runtime and creates a new audio embedder from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param audioEmbedderOptions The options for the audio embedder. Note that
@@ -67,6 +68,7 @@ export class AudioEmbedder extends AudioTaskRunner<AudioEmbedderResult[]> {
   /**
    * Initializes the Wasm runtime and creates a new audio embedder based on the
    * provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the TFLite model.
@@ -81,6 +83,7 @@ export class AudioEmbedder extends AudioTaskRunner<AudioEmbedderResult[]> {
   /**
    * Initializes the Wasm runtime and creates a new audio embedder based on the
    * path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the TFLite model.
@@ -115,6 +118,7 @@ export class AudioEmbedder extends AudioTaskRunner<AudioEmbedderResult[]> {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the audio embedder.
    */
   override setOptions(options: AudioEmbedderOptions): Promise<void> {
@@ -129,6 +133,7 @@ export class AudioEmbedder extends AudioTaskRunner<AudioEmbedderResult[]> {
    * Performs embeding extraction on the provided audio clip and waits
    * synchronously for the response.
    *
+   * @export
    * @param audioData An array of raw audio capture data, like from a call to
    *     `getChannelData()` on an AudioBuffer.
    * @param sampleRate The sample rate in Hz of the provided audio data. If not

mediapipe/tasks/web/audio/core/audio_task_runner.ts

@@ -35,6 +35,7 @@ export abstract class AudioTaskRunner<T> extends TaskRunner {
    * Sets the sample rate for API calls that omit an explicit sample rate.
    * `48000` is used as a default if this method is not called.
    *
+   * @export
    * @param sampleRate A sample rate (e.g. `44100`).
    */
   setDefaultSampleRate(sampleRate: number) {

mediapipe/tasks/web/audio/externs.js

@@ -1,27 +0,0 @@
-/** @externs */
-
-const AudioClassifier = {};
-AudioClassifier.createFromModelBuffer = function() {};
-AudioClassifier.createFromOptions = function() {};
-AudioClassifier.createFromModelPath = function() {};
-AudioClassifier.classify = function() {};
-AudioClassifier.setDefaultSampleRate = function() {};
-AudioClassifier.setOptions = function() {};
-AudioClassifier.close = function() {};
-
-const AudioEmbedder = {};
-AudioEmbedder.createFromModelBuffer = function() {};
-AudioEmbedder.createFromOptions = function() {};
-AudioEmbedder.createFromModelPath = function() {};
-AudioEmbedder.embded = function() {};
-AudioEmbedder.setOptions = function() {};
-AudioEmbedder.cosineSimilarity = function() {};
-AudioEmbedder.setDefaultSampleRate = function() {};
-AudioEmbedder.setOptions = function() {};
-AudioEmbedder.close = function() {};
-
-const FilesetResolver = {};
-FilesetResolver.isSimdSupported = function() {};
-FilesetResolver.forAudioTasks = function() {};
-FilesetResolver.forTextTasks = function() {};
-FilesetResolver.forVisionTasks = function() {};

mediapipe/tasks/web/core/fileset_resolver.ts

@@ -76,6 +76,7 @@ export class FilesetResolver {
    * you can use `isSimdSupported()` to decide whether to load the SIMD-based
    * assets.
    *
+   * @export
    * @return Whether SIMD support was detected in the current environment.
    */
   static isSimdSupported(): Promise<boolean> {
@@ -85,6 +86,7 @@ export class FilesetResolver {
   /**
    * Creates a fileset for the MediaPipe Audio tasks.
    *
+   * @export
    * @param basePath An optional base path to specify the directory the Wasm
    *    files should be loaded from. If not specified, the Wasm files are
    *    loaded from the host's root directory.
@@ -98,6 +100,7 @@ export class FilesetResolver {
   /**
    * Creates a fileset for the MediaPipe Text tasks.
    *
+   * @export
    * @param basePath An optional base path to specify the directory the Wasm
    *    files should be loaded from. If not specified, the Wasm files are
    *    loaded from the host's root directory.
@@ -111,6 +114,7 @@ export class FilesetResolver {
   /**
    * Creates a fileset for the MediaPipe Vision tasks.
    *
+   * @export
    * @param basePath An optional base path to specify the directory the Wasm
    *    files should be loaded from. If not specified, the Wasm files are
    *    loaded from the host's root directory.

mediapipe/tasks/web/core/task_runner.ts

@@ -325,7 +325,10 @@ export abstract class TaskRunner {
         true, FREE_MEMORY_STREAM, this.latestOutputTimestamp);
   }
 
-  /** Closes and cleans up the resources held by this task. */
+  /**
+   * Closes and cleans up the resources held by this task.
+   * @export
+   */
   close(): void {
     this.keepaliveNode = undefined;
     this.graphRunner.closeGraph();

mediapipe/tasks/web/text/externs.js

@@ -1,33 +0,0 @@
-/** @externs */
-
-const LanguageDetector = {};
-LanguageDetector.createFromModelBuffer = function() {};
-LanguageDetector.createFromOptions = function() {};
-LanguageDetector.createFromModelPath = function() {};
-LanguageDetector.detect = function() {};
-LanguageDetector.setOptions = function() {};
-LanguageDetector.close = function() {};
-
-const TextClassifier = {};
-TextClassifier.createFromModelBuffer = function() {};
-TextClassifier.createFromOptions = function() {};
-TextClassifier.createFromModelPath = function() {};
-TextClassifier.classify = function() {};
-TextClassifier.setOptions = function() {};
-TextClassifier.close = function() {};
-
-const TextEmbedder = {};
-TextEmbedder.createFromModelBuffer = function() {};
-TextEmbedder.createFromOptions = function() {};
-TextEmbedder.createFromModelPath = function() {};
-TextEmbedder.embded = function() {};
-TextEmbedder.setOptions = function() {};
-TextEmbedder.cosineSimilarity = function() {};
-TextClassifier.setOptions = function() {};
-TextClassifier.close = function() {};
-
-const FilesetResolver = {};
-FilesetResolver.isSimdSupported = function() {};
-FilesetResolver.forTextTasks = function() {};
-FilesetResolver.forTextTasks = function() {};
-FilesetResolver.forVisionTasks = function() {};

mediapipe/tasks/web/text/language_detector/language_detector.ts

@@ -48,6 +48,7 @@ export class LanguageDetector extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new language detector from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param textClassifierOptions The options for the language detector. Note
@@ -65,6 +66,7 @@ export class LanguageDetector extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new language detector based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -80,6 +82,7 @@ export class LanguageDetector extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new language detector based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -107,6 +110,7 @@ export class LanguageDetector extends TaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the language detector.
    */
   override setOptions(options: LanguageDetectorOptions): Promise<void> {
@@ -126,6 +130,7 @@ export class LanguageDetector extends TaskRunner {
   /**
    * Predicts the language of the input text.
    *
+   * @export
    * @param text The text to process.
    * @return The languages detected in the input text.
    */

mediapipe/tasks/web/text/text_classifier/text_classifier.ts

@@ -48,6 +48,7 @@ export class TextClassifier extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new text classifier from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param textClassifierOptions The options for the text classifier. Note that
@@ -65,6 +66,7 @@ export class TextClassifier extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new text classifier based on the
    * provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -80,6 +82,7 @@ export class TextClassifier extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new text classifier based on the
    * path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -107,6 +110,7 @@ export class TextClassifier extends TaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the text classifier.
    */
   override setOptions(options: TextClassifierOptions): Promise<void> {
@@ -127,6 +131,7 @@ export class TextClassifier extends TaskRunner {
    * Performs Natural Language classification on the provided text and waits
    * synchronously for the response.
    *
+   * @export
    * @param text The text to process.
    * @return The classification result of the text
    */

mediapipe/tasks/web/text/text_embedder/text_embedder.ts

@@ -52,6 +52,7 @@ export class TextEmbedder extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new text embedder from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param textEmbedderOptions The options for the text embedder. Note that
@@ -68,6 +69,7 @@ export class TextEmbedder extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new text embedder based on the
    * provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the TFLite model.
@@ -83,6 +85,7 @@ export class TextEmbedder extends TaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new text embedder based on the
    * path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the TFLite model.
@@ -110,6 +113,7 @@ export class TextEmbedder extends TaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the text embedder.
    */
   override setOptions(options: TextEmbedderOptions): Promise<void> {
@@ -130,6 +134,7 @@ export class TextEmbedder extends TaskRunner {
    * Performs embeding extraction on the provided text and waits synchronously
    * for the response.
    *
+   * @export
    * @param text The text to process.
    * @return The embedding resuls of the text
    */
@@ -146,6 +151,7 @@ export class TextEmbedder extends TaskRunner {
    *
    * [1]: https://en.wikipedia.org/wiki/Cosine_similarity
    *
+   * @export
    * @throws if the embeddings are of different types(float vs. quantized), have
    *     different sizes, or have an L2-norm of 0.
    */

mediapipe/tasks/web/vision/core/drawing_utils.ts

@@ -89,6 +89,7 @@ export class DrawingUtils {
   /**
    * Restricts a number between two endpoints (order doesn't matter).
    *
+   * @export
    * @param x The number to clamp.
    * @param x0 The first boundary.
    * @param x1 The second boundary.
@@ -104,6 +105,7 @@ export class DrawingUtils {
    * Linearly interpolates a value between two points, clamping that value to
    * the endpoints.
    *
+   * @export
    * @param x The number to interpolate.
    * @param x0 The x coordinate of the start value.
    * @param x1 The x coordinate of the end value.
@@ -121,6 +123,7 @@ export class DrawingUtils {
   /**
    * Draws circles onto the provided landmarks.
    *
+   * @export
    * @param landmarks The landmarks to draw.
    * @param style The style to visualize the landmarks.
    */
@@ -156,6 +159,7 @@ export class DrawingUtils {
   /**
    * Draws lines between landmarks (given a connection graph).
    *
+   * @export
    * @param landmarks The landmarks to draw.
    * @param connections The connections array that contains the start and the
    *     end indices for the connections to draw.
@@ -191,6 +195,7 @@ export class DrawingUtils {
   /**
    * Draws a bounding box.
    *
+   * @export
    * @param boundingBox The bounding box to draw.
    * @param style The style to visualize the boundin box.
    */

mediapipe/tasks/web/vision/core/vision_task_runner.ts

@@ -92,8 +92,8 @@ export abstract class VisionTaskRunner extends TaskRunner {
    * @param loadTfliteModel Whether to load the model specified in
    *     `options.baseOptions`.
    */
-  override applyOptions(options: VisionTaskOptions, loadTfliteModel = true):
+  protected override applyOptions(
-      Promise<void> {
+      options: VisionTaskOptions, loadTfliteModel = true): Promise<void> {
     if ('runningMode' in options) {
       const useStreamMode =
           !!options.runningMode && options.runningMode !== 'IMAGE';
@@ -297,7 +297,10 @@ export abstract class VisionTaskRunner extends TaskRunner {
     return shouldCopyData ? mask.clone() : mask;
   }
 
-  /** Closes and cleans up the resources held by this task. */
+  /**
+   * Closes and cleans up the resources held by this task.
+   * @export
+   */
   override close(): void {
     this.shaderContext.close();
     super.close();

mediapipe/tasks/web/vision/externs.js

@@ -1,145 +0,0 @@
-/** @externs */
-
-const DrawingUtils = {};
-DrawingUtils.clamp = function() {};
-DrawingUtils.lerp = function() {};
-DrawingUtils.drawLandmarks = function() {};
-DrawingUtils.drawConnectors = function() {};
-DrawingUtils.drawBoundingBox = function() {};
-
-const FaceDetector = {};
-FaceDetector.createFromModelBuffer = function() {};
-FaceDetector.createFromOptions = function() {};
-FaceDetector.createFromModelPath = function() {};
-FaceDetector.detect = function() {};
-FaceDetector.detectForVideo = function() {};
-FaceDetector.setOptions = function() {};
-FaceDetector.close = function() {};
-
-const FaceLandmarker = {};
-FaceLandmarker.FACE_LANDMARKS_LIPS = {};
-FaceLandmarker.FACE_LANDMARKS_LEFT_EYE = {};
-FaceLandmarker.FACE_LANDMARKS_LEFT_EYEBROW = {};
-FaceLandmarker.FACE_LANDMARKS_LEFT_IRIS = {};
-FaceLandmarker.FACE_LANDMARKS_RIGHT_EYE = {};
-FaceLandmarker.FACE_LANDMARKS_RIGHT_EYEBROW = {};
-FaceLandmarker.FACE_LANDMARKS_RIGHT_IRIS = {};
-FaceLandmarker.FACE_LANDMARKS_FACE_OVAL = {};
-FaceLandmarker.FACE_LANDMARKS_CONTOURS = {};
-FaceLandmarker.FACE_LANDMARKS_TESSELATION = {};
-FaceLandmarker.createFromModelBuffer = function() {};
-FaceLandmarker.createFromOptions = function() {};
-FaceLandmarker.createFromModelPath = function() {};
-FaceLandmarker.detect = function() {};
-FaceLandmarker.detectForVideo = function() {};
-FaceLandmarker.setOptions = function() {};
-FaceLandmarker.close = function() {};
-
-const FaceStylizer = {};
-FaceStylizer.createFromModelBuffer = function() {};
-FaceStylizer.createFromOptions = function() {};
-FaceStylizer.createFromModelPath = function() {};
-FaceStylizer.stylize = function() {};
-FaceStylizer.setOptions = function() {};
-FaceStylizer.close = function() {};
-
-const FilesetResolver = {};
-FilesetResolver.isSimdSupported = function() {};
-FilesetResolver.forAudioTasks = function() {};
-FilesetResolver.forTextTasks = function() {};
-FilesetResolver.forVisionTasks = function() {};
-
-const GestureRecognizer = {};
-GestureRecognizer.createFromModelBuffer = function() {};
-GestureRecognizer.createFromOptions = function() {};
-GestureRecognizer.createFromModelPath = function() {};
-GestureRecognizer.recognize = function() {};
-GestureRecognizer.recognizeForVideo = function() {};
-GestureRecognizer.setOptions = function() {};
-GestureRecognizer.close = function() {};
-
-const HandLandmarker = {};
-HandLandmarker.HAND_CONNECTIONS = {};
-HandLandmarker.createFromModelBuffer = function() {};
-HandLandmarker.createFromOptions = function() {};
-HandLandmarker.createFromModelPath = function() {};
-HandLandmarker.detect = function() {};
-HandLandmarker.detectForVideo = function() {};
-HandLandmarker.setOptions = function() {};
-HandLandmarker.close = function() {};
-
-const ImageClassifier = {};
-ImageClassifier.createFromModelBuffer = function() {};
-ImageClassifier.createFromOptions = function() {};
-ImageClassifier.createFromModelPath = function() {};
-ImageClassifier.classify = function() {};
-ImageClassifier.classifyForVideo = function() {};
-ImageClassifier.setOptions = function() {};
-ImageClassifier.close = function() {};
-
-const ImageEmbedder = {};
-ImageEmbedder.createFromModelBuffer = function() {};
-ImageEmbedder.createFromOptions = function() {};
-ImageEmbedder.createFromModelPath = function() {};
-ImageEmbedder.embded = function() {};
-ImageEmbedder.embedForVideo = function() {};
-ImageEmbedder.setOptions = function() {};
-ImageEmbedder.cosineSimilarity = function() {};
-ImageEmbedder.close = function() {};
-
-const ImageSegmenter = {};
-ImageSegmenter.createFromModelBuffer = function() {};
-ImageSegmenter.createFromOptions = function() {};
-ImageSegmenter.createFromModelPath = function() {};
-ImageSegmenter.segmment = function() {};
-ImageSegmenter.segmentForVideo = function() {};
-ImageSegmenter.setOptions = function() {};
-ImageSegmenter.getLabels = function() {};
-ImageSegmenter.close = function() {};
-
-const InteractiveSegmenter = {};
-InteractiveSegmenter.createFromModelBuffer = function() {};
-InteractiveSegmenter.createFromOptions = function() {};
-InteractiveSegmenter.createFromModelPath = function() {};
-InteractiveSegmenter.segmment = function() {};
-InteractiveSegmenter.setOptions = function() {};
-InteractiveSegmenter.close = function() {};
-
-const MPImage = {};
-MPImage.hasImageData = function() {};
-MPImage.hasImageBitmap = function() {};
-MPImage.hasWebGLTexture = function() {};
-MPImage.getAsImageData = function() {};
-MPImage.getAsImageBitmap = function() {};
-MPImage.getAsWebGLTexture = function() {};
-MPImage.clone = function() {};
-MPImage.close = function() {};
-
-const MPMask = {};
-MPMask.hasUint8Array = function() {};
-MPMask.hasFloat32Array = function() {};
-MPMask.hasWebGLTexture = function() {};
-MPMask.getAsUint8Array = function() {};
-MPMask.getAsFloat32Array = function() {};
-MPMask.getAsWebGLTexture = function() {};
-MPMask.clone = function() {};
-MPMask.close = function() {};
-
-const ObjectDetector = {};
-ObjectDetector.createFromModelBuffer = function() {};
-ObjectDetector.createFromOptions = function() {};
-ObjectDetector.createFromModelPath = function() {};
-ObjectDetector.detect = function() {};
-ObjectDetector.detectForVideo = function() {};
-ObjectDetector.setOptions = function() {};
-ObjectDetector.close = function() {};
-
-const PoseLandmarker = {};
-PoseLandmarker.POSE_CONNECTIONS = {};
-PoseLandmarker.createFromModelBuffer = function() {};
-PoseLandmarker.createFromOptions = function() {};
-PoseLandmarker.createFromModelPath = function() {};
-PoseLandmarker.detect = function() {};
-PoseLandmarker.detectForVideo = function() {};
-PoseLandmarker.setOptions = function() {};
-PoseLandmarker.close = function() {};

mediapipe/tasks/web/vision/face_landmarker/face_landmarker.ts

@@ -75,6 +75,7 @@ export class FaceLandmarker extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new `FaceLandmarker` from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param faceLandmarkerOptions The options for the FaceLandmarker.
@@ -91,6 +92,7 @@ export class FaceLandmarker extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new `FaceLandmarker` based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -105,6 +107,7 @@ export class FaceLandmarker extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new `FaceLandmarker` based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -116,41 +119,65 @@ export class FaceLandmarker extends VisionTaskRunner {
         FaceLandmarker, wasmFileset, {baseOptions: {modelAssetPath}});
   }
 
-  /** Landmark connections to draw the connection between a face's lips. */
+  /**
+   * Landmark connections to draw the connection between a face's lips.
+   * @export
+   */
   static FACE_LANDMARKS_LIPS = FACE_LANDMARKS_LIPS;
 
-  /** Landmark connections to draw the connection between a face's left eye. */
+  /**
+   * Landmark connections to draw the connection between a face's left eye.
+   * @export
+   */
   static FACE_LANDMARKS_LEFT_EYE = FACE_LANDMARKS_LEFT_EYE;
 
   /**
    * Landmark connections to draw the connection between a face's left eyebrow.
+   * @export
    */
   static FACE_LANDMARKS_LEFT_EYEBROW = FACE_LANDMARKS_LEFT_EYEBROW;
 
-  /** Landmark connections to draw the connection between a face's left iris. */
+  /**
+   * Landmark connections to draw the connection between a face's left iris.
+   * @export
+   */
   static FACE_LANDMARKS_LEFT_IRIS = FACE_LANDMARKS_LEFT_IRIS;
 
-  /** Landmark connections to draw the connection between a face's right eye. */
+  /**
+   * Landmark connections to draw the connection between a face's right eye.
+   * @export
+   */
   static FACE_LANDMARKS_RIGHT_EYE = FACE_LANDMARKS_RIGHT_EYE;
 
   /**
    * Landmark connections to draw the connection between a face's right
    * eyebrow.
+   * @export
    */
   static FACE_LANDMARKS_RIGHT_EYEBROW = FACE_LANDMARKS_RIGHT_EYEBROW;
 
   /**
    * Landmark connections to draw the connection between a face's right iris.
+   * @export
    */
   static FACE_LANDMARKS_RIGHT_IRIS = FACE_LANDMARKS_RIGHT_IRIS;
 
-  /** Landmark connections to draw the face's oval. */
+  /**
+   * Landmark connections to draw the face's oval.
+   * @export
+   */
   static FACE_LANDMARKS_FACE_OVAL = FACE_LANDMARKS_FACE_OVAL;
 
-  /** Landmark connections to draw the face's contour. */
+  /**
+   * Landmark connections to draw the face's contour.
+   * @export
+   */
   static FACE_LANDMARKS_CONTOURS = FACE_LANDMARKS_CONTOURS;
 
-  /** Landmark connections to draw the face's tesselation. */
+  /**
+   * Landmark connections to draw the face's tesselation.
+   * @export
+   */
   static FACE_LANDMARKS_TESSELATION = FACE_LANDMARKS_TESSELATION;
 
   /** @hideconstructor */
@@ -188,6 +215,7 @@ export class FaceLandmarker extends VisionTaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the face landmarker.
    */
   override setOptions(options: FaceLandmarkerOptions): Promise<void> {
@@ -228,6 +256,7 @@ export class FaceLandmarker extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * FaceLandmarker is created with running mode `image`.
    *
+   * @export
    * @param image An image to process.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how
    *    to process the input image before running inference.
@@ -245,6 +274,7 @@ export class FaceLandmarker extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * FaceLandmarker is created with running mode `video`.
    *
+   * @export
    * @param videoFrame A video frame to process.
    * @param timestamp The timestamp of the current frame, in ms.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how

mediapipe/tasks/web/vision/face_stylizer/face_stylizer.ts

@@ -57,6 +57,7 @@ export class FaceStylizer extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new Face Stylizer from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param faceStylizerOptions The options for the Face Stylizer. Note
@@ -73,6 +74,7 @@ export class FaceStylizer extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new Face Stylizer based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -87,6 +89,7 @@ export class FaceStylizer extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new Face Stylizer based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -125,6 +128,7 @@ export class FaceStylizer extends VisionTaskRunner {
    * options. You can reset an option back to its default value by
    * explicitly setting it to `undefined`.
    *
+   * @export
    * @param options The options for the Face Stylizer.
    */
   override setOptions(options: FaceStylizerOptions): Promise<void> {
@@ -202,6 +206,7 @@ export class FaceStylizer extends VisionTaskRunner {
    */
   stylize(image: ImageSource, imageProcessingOptions: ImageProcessingOptions):
       MPImage|null;
+  /** @export */
   stylize(
       image: ImageSource,
       imageProcessingOptionsOrCallback?: ImageProcessingOptions|

mediapipe/tasks/web/vision/gesture_recognizer/gesture_recognizer.ts

@@ -76,12 +76,14 @@ export class GestureRecognizer extends VisionTaskRunner {
   /**
    * An array containing the pairs of hand landmark indices to be rendered with
    * connections.
+   * @export
    */
   static HAND_CONNECTIONS = HAND_CONNECTIONS;
 
   /**
    * Initializes the Wasm runtime and creates a new gesture recognizer from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param gestureRecognizerOptions The options for the gesture recognizer.
@@ -99,6 +101,7 @@ export class GestureRecognizer extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new gesture recognizer based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -113,6 +116,7 @@ export class GestureRecognizer extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new gesture recognizer based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -169,6 +173,7 @@ export class GestureRecognizer extends VisionTaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the gesture recognizer.
    */
   override setOptions(options: GestureRecognizerOptions): Promise<void> {
@@ -229,6 +234,7 @@ export class GestureRecognizer extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * GestureRecognizer is created with running mode `image`.
    *
+   * @export
    * @param image A single image to process.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how
    *    to process the input image before running inference.
@@ -247,6 +253,7 @@ export class GestureRecognizer extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * GestureRecognizer is created with running mode `video`.
    *
+   * @export
    * @param videoFrame A video frame to process.
    * @param timestamp The timestamp of the current frame, in ms.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how

mediapipe/tasks/web/vision/hand_landmarker/hand_landmarker.ts

@@ -68,12 +68,14 @@ export class HandLandmarker extends VisionTaskRunner {
   /**
    * An array containing the pairs of hand landmark indices to be rendered with
    * connections.
+   * @export
    */
   static HAND_CONNECTIONS = HAND_CONNECTIONS;
 
   /**
    * Initializes the Wasm runtime and creates a new `HandLandmarker` from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param handLandmarkerOptions The options for the HandLandmarker.
@@ -90,6 +92,7 @@ export class HandLandmarker extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new `HandLandmarker` based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -104,6 +107,7 @@ export class HandLandmarker extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new `HandLandmarker` based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -150,6 +154,7 @@ export class HandLandmarker extends VisionTaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the hand landmarker.
    */
   override setOptions(options: HandLandmarkerOptions): Promise<void> {
@@ -181,6 +186,7 @@ export class HandLandmarker extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * HandLandmarker is created with running mode `image`.
    *
+   * @export
    * @param image An image to process.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how
    *    to process the input image before running inference.
@@ -198,6 +204,7 @@ export class HandLandmarker extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * HandLandmarker is created with running mode `video`.
    *
+   * @export
    * @param videoFrame A video frame to process.
    * @param timestamp The timestamp of the current frame, in ms.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how

mediapipe/tasks/web/vision/image_classifier/image_classifier.ts

@@ -51,6 +51,7 @@ export class ImageClassifier extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image classifier from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location
    *     Wasm binary and its loader.
    * @param imageClassifierOptions The options for the image classifier. Note
@@ -67,6 +68,7 @@ export class ImageClassifier extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image classifier based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -81,6 +83,7 @@ export class ImageClassifier extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image classifier based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -117,6 +120,7 @@ export class ImageClassifier extends VisionTaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the image classifier.
    */
   override setOptions(options: ImageClassifierOptions): Promise<void> {
@@ -130,6 +134,7 @@ export class ImageClassifier extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * ImageClassifier is created with running mode `image`.
    *
+   * @export
    * @param image An image to process.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how
    *    to process the input image before running inference.
@@ -147,6 +152,7 @@ export class ImageClassifier extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * ImageClassifier is created with running mode `video`.
    *
+   * @export
    * @param videoFrame A video frame to process.
    * @param timestamp The timestamp of the current frame, in ms.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how

mediapipe/tasks/web/vision/image_embedder/image_embedder.ts

@@ -54,6 +54,7 @@ export class ImageEmbedder extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image embedder from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param imageEmbedderOptions The options for the image embedder. Note that
@@ -70,6 +71,7 @@ export class ImageEmbedder extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image embedder based on the
    * provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the TFLite model.
@@ -84,6 +86,7 @@ export class ImageEmbedder extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image embedder based on the
    * path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the TFLite model.
@@ -120,6 +123,7 @@ export class ImageEmbedder extends VisionTaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the image embedder.
    */
   override setOptions(options: ImageEmbedderOptions): Promise<void> {
@@ -133,6 +137,7 @@ export class ImageEmbedder extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * ImageEmbedder is created with running mode `image`.
    *
+   * @export
    * @param image The image to process.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how
    *    to process the input image before running inference.
@@ -149,6 +154,7 @@ export class ImageEmbedder extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * ImageEmbedder is created with running mode `video`.
    *
+   * @export
    * @param imageFrame The image frame to process.
    * @param timestamp The timestamp of the current frame, in ms.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how
@@ -168,6 +174,7 @@ export class ImageEmbedder extends VisionTaskRunner {
    *
    * [1]: https://en.wikipedia.org/wiki/Cosine_similarity
    *
+   * @export
    * @throws if the embeddings are of different types(float vs. quantized), have
    *     different sizes, or have an L2-norm of 0.
    */

mediapipe/tasks/web/vision/image_segmenter/image_segmenter.ts

@@ -73,6 +73,7 @@ export class ImageSegmenter extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image segmenter from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param imageSegmenterOptions The options for the Image Segmenter. Note
@@ -89,6 +90,7 @@ export class ImageSegmenter extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image segmenter based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -103,6 +105,7 @@ export class ImageSegmenter extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new image segmenter based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -142,6 +145,7 @@ export class ImageSegmenter extends VisionTaskRunner {
    * options. You can reset an option back to its default value by
    * explicitly setting it to `undefined`.
    *
+   * @export
    * @param options The options for the image segmenter.
    */
   override setOptions(options: ImageSegmenterOptions): Promise<void> {
@@ -253,6 +257,7 @@ export class ImageSegmenter extends VisionTaskRunner {
    */
   segment(image: ImageSource, imageProcessingOptions: ImageProcessingOptions):
       ImageSegmenterResult;
+  /** @export */
   segment(
       image: ImageSource,
       imageProcessingOptionsOrCallback?: ImageProcessingOptions|
@@ -333,6 +338,7 @@ export class ImageSegmenter extends VisionTaskRunner {
   segmentForVideo(
       videoFrame: ImageSource, timestamp: number,
       imageProcessingOptions: ImageProcessingOptions): ImageSegmenterResult;
+  /** @export */
   segmentForVideo(
       videoFrame: ImageSource, timestamp: number,
       imageProcessingOptionsOrCallback?: ImageProcessingOptions|
@@ -360,6 +366,7 @@ export class ImageSegmenter extends VisionTaskRunner {
    * If there is no labelmap provided in the model file, empty label array is
    * returned.
    *
+   * @export
    * @return The labels used by the current model.
    */
   getLabels(): string[] {

mediapipe/tasks/web/vision/interactive_segmenter/interactive_segmenter.ts

@@ -97,6 +97,7 @@ export class InteractiveSegmenter extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new interactive segmenter from
    * the provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param interactiveSegmenterOptions The options for the Interactive
@@ -115,6 +116,7 @@ export class InteractiveSegmenter extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new interactive segmenter based
    * on the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -130,6 +132,7 @@ export class InteractiveSegmenter extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new interactive segmenter based
    * on the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of
    *     the Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -171,6 +174,7 @@ export class InteractiveSegmenter extends VisionTaskRunner {
    * options. You can reset an option back to its default value by
    * explicitly setting it to `undefined`.
    *
+   * @export
    * @param options The options for the interactive segmenter.
    * @return A Promise that resolves when the settings have been applied.
    */
@@ -263,6 +267,7 @@ export class InteractiveSegmenter extends VisionTaskRunner {
       image: ImageSource, roi: RegionOfInterest,
       imageProcessingOptions: ImageProcessingOptions):
       InteractiveSegmenterResult;
+  /** @export */
   segment(
       image: ImageSource, roi: RegionOfInterest,
       imageProcessingOptionsOrCallback?: ImageProcessingOptions|

mediapipe/tasks/web/vision/object_detector/object_detector.ts

@@ -41,7 +41,9 @@ export {ImageSource};  // Used in the public API
 // The OSS JS API does not support the builder pattern.
 // tslint:disable:jspb-use-builder-pattern
 
-/** Performs object detection on images. */
+/**
+ * Performs object detection on images.
+ */
 export class ObjectDetector extends VisionTaskRunner {
   private result: ObjectDetectorResult = {detections: []};
   private readonly options = new ObjectDetectorOptionsProto();
@@ -49,6 +51,7 @@ export class ObjectDetector extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new object detector from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param objectDetectorOptions The options for the Object Detector. Note that
@@ -65,6 +68,7 @@ export class ObjectDetector extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new object detector based on the
    * provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -79,6 +83,7 @@ export class ObjectDetector extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new object detector based on the
    * path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -115,6 +120,7 @@ export class ObjectDetector extends VisionTaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the object detector.
    */
   override setOptions(options: ObjectDetectorOptions): Promise<void> {
@@ -159,6 +165,7 @@ export class ObjectDetector extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * ObjectDetector is created with running mode `image`.
    *
+   * @export
    * @param image An image to process.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how
    *    to process the input image before running inference.
@@ -176,6 +183,7 @@ export class ObjectDetector extends VisionTaskRunner {
    * synchronously for the response. Only use this method when the
    * ObjectDetector is created with running mode `video`.
    *
+   * @export
    * @param videoFrame A video frame to process.
    * @param timestamp The timestamp of the current frame, in ms.
    * @param imageProcessingOptions the `ImageProcessingOptions` specifying how

mediapipe/tasks/web/vision/pose_landmarker/pose_landmarker.ts

@@ -76,6 +76,7 @@ export class PoseLandmarker extends VisionTaskRunner {
   /**
    * An array containing the pairs of pose landmark indices to be rendered with
    * connections.
+   * @export
    */
   static POSE_CONNECTIONS: Connection[] = [
     {start: 0, end: 1},   {start: 1, end: 2},   {start: 2, end: 3},
@@ -95,6 +96,7 @@ export class PoseLandmarker extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new `PoseLandmarker` from the
    * provided options.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param poseLandmarkerOptions The options for the PoseLandmarker.
@@ -111,6 +113,7 @@ export class PoseLandmarker extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new `PoseLandmarker` based on
    * the provided model asset buffer.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetBuffer A binary representation of the model.
@@ -125,6 +128,7 @@ export class PoseLandmarker extends VisionTaskRunner {
   /**
    * Initializes the Wasm runtime and creates a new `PoseLandmarker` based on
    * the path to the model asset.
+   * @export
    * @param wasmFileset A configuration object that provides the location of the
    *     Wasm binary and its loader.
    * @param modelAssetPath The path to the model asset.
@@ -171,6 +175,7 @@ export class PoseLandmarker extends VisionTaskRunner {
    * You can reset an option back to its default value by explicitly setting it
    * to `undefined`.
    *
+   * @export
    * @param options The options for the pose landmarker.
    */
   override setOptions(options: PoseLandmarkerOptions): Promise<void> {
@@ -257,6 +262,7 @@ export class PoseLandmarker extends VisionTaskRunner {
    */
   detect(image: ImageSource, imageProcessingOptions: ImageProcessingOptions):
       PoseLandmarkerResult;
+  /** @export */
   detect(
       image: ImageSource,
       imageProcessingOptionsOrCallback?: ImageProcessingOptions|
@@ -338,6 +344,7 @@ export class PoseLandmarker extends VisionTaskRunner {
   detectForVideo(
       videoFrame: ImageSource, timestamp: number,
       imageProcessingOptions: ImageProcessingOptions): PoseLandmarkerResult;
+  /** @export */
   detectForVideo(
       videoFrame: ImageSource, timestamp: number,
       imageProcessingOptionsOrCallback?: ImageProcessingOptions|