diff --git a/mediapipe/tasks/web/audio/audio_classifier/audio_classifier.ts b/mediapipe/tasks/web/audio/audio_classifier/audio_classifier.ts index d3996419..35b502f8 100644 --- a/mediapipe/tasks/web/audio/audio_classifier/audio_classifier.ts +++ b/mediapipe/tasks/web/audio/audio_classifier/audio_classifier.ts @@ -51,6 +51,7 @@ export class AudioClassifier extends AudioTaskRunner { /** * 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 { /** * 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 { /** * 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 { * 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 { @@ -130,6 +134,7 @@ export class AudioClassifier extends AudioTaskRunner { * 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 diff --git a/mediapipe/tasks/web/audio/audio_embedder/audio_embedder.ts b/mediapipe/tasks/web/audio/audio_embedder/audio_embedder.ts index afb1df64..c7ad5606 100644 --- a/mediapipe/tasks/web/audio/audio_embedder/audio_embedder.ts +++ b/mediapipe/tasks/web/audio/audio_embedder/audio_embedder.ts @@ -51,6 +51,7 @@ export class AudioEmbedder extends AudioTaskRunner { /** * 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 { /** * 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 { /** * 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 { * 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 { @@ -129,6 +133,7 @@ export class AudioEmbedder extends AudioTaskRunner { * 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 diff --git a/mediapipe/tasks/web/audio/core/audio_task_runner.ts b/mediapipe/tasks/web/audio/core/audio_task_runner.ts index cf3e348c..07057a15 100644 --- a/mediapipe/tasks/web/audio/core/audio_task_runner.ts +++ b/mediapipe/tasks/web/audio/core/audio_task_runner.ts @@ -35,6 +35,7 @@ export abstract class AudioTaskRunner 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) { diff --git a/mediapipe/tasks/web/audio/externs.js b/mediapipe/tasks/web/audio/externs.js deleted file mode 100644 index 114149b8..00000000 --- a/mediapipe/tasks/web/audio/externs.js +++ /dev/null @@ -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() {}; diff --git a/mediapipe/tasks/web/core/fileset_resolver.ts b/mediapipe/tasks/web/core/fileset_resolver.ts index 1e13548a..289ee4d9 100644 --- a/mediapipe/tasks/web/core/fileset_resolver.ts +++ b/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 { @@ -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. diff --git a/mediapipe/tasks/web/core/task_runner.ts b/mediapipe/tasks/web/core/task_runner.ts index e2690cde..30faccf1 100644 --- a/mediapipe/tasks/web/core/task_runner.ts +++ b/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(); diff --git a/mediapipe/tasks/web/text/externs.js b/mediapipe/tasks/web/text/externs.js deleted file mode 100644 index e293cd85..00000000 --- a/mediapipe/tasks/web/text/externs.js +++ /dev/null @@ -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() {}; diff --git a/mediapipe/tasks/web/text/language_detector/language_detector.ts b/mediapipe/tasks/web/text/language_detector/language_detector.ts index f028b99e..40c28745 100644 --- a/mediapipe/tasks/web/text/language_detector/language_detector.ts +++ b/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 { @@ -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. */ diff --git a/mediapipe/tasks/web/text/text_classifier/text_classifier.ts b/mediapipe/tasks/web/text/text_classifier/text_classifier.ts index 1da03950..1e9113b0 100644 --- a/mediapipe/tasks/web/text/text_classifier/text_classifier.ts +++ b/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 { @@ -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 */ diff --git a/mediapipe/tasks/web/text/text_embedder/text_embedder.ts b/mediapipe/tasks/web/text/text_embedder/text_embedder.ts index 8bbf471d..eab4be0e 100644 --- a/mediapipe/tasks/web/text/text_embedder/text_embedder.ts +++ b/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 { @@ -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. */ diff --git a/mediapipe/tasks/web/vision/core/drawing_utils.ts b/mediapipe/tasks/web/vision/core/drawing_utils.ts index e9462189..c1e84fa1 100644 --- a/mediapipe/tasks/web/vision/core/drawing_utils.ts +++ b/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. */ diff --git a/mediapipe/tasks/web/vision/core/vision_task_runner.ts b/mediapipe/tasks/web/vision/core/vision_task_runner.ts index 3ed15b97..b9aa5e35 100644 --- a/mediapipe/tasks/web/vision/core/vision_task_runner.ts +++ b/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): - Promise { + protected override applyOptions( + options: VisionTaskOptions, loadTfliteModel = true): Promise { 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(); diff --git a/mediapipe/tasks/web/vision/externs.js b/mediapipe/tasks/web/vision/externs.js deleted file mode 100644 index 6a1a2324..00000000 --- a/mediapipe/tasks/web/vision/externs.js +++ /dev/null @@ -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() {}; diff --git a/mediapipe/tasks/web/vision/face_landmarker/face_landmarker.ts b/mediapipe/tasks/web/vision/face_landmarker/face_landmarker.ts index e2e25c71..08569e98 100644 --- a/mediapipe/tasks/web/vision/face_landmarker/face_landmarker.ts +++ b/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 { @@ -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 diff --git a/mediapipe/tasks/web/vision/face_stylizer/face_stylizer.ts b/mediapipe/tasks/web/vision/face_stylizer/face_stylizer.ts index 8d326a73..b4916b53 100644 --- a/mediapipe/tasks/web/vision/face_stylizer/face_stylizer.ts +++ b/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 { @@ -202,6 +206,7 @@ export class FaceStylizer extends VisionTaskRunner { */ stylize(image: ImageSource, imageProcessingOptions: ImageProcessingOptions): MPImage|null; + /** @export */ stylize( image: ImageSource, imageProcessingOptionsOrCallback?: ImageProcessingOptions| diff --git a/mediapipe/tasks/web/vision/gesture_recognizer/gesture_recognizer.ts b/mediapipe/tasks/web/vision/gesture_recognizer/gesture_recognizer.ts index 806a794f..67f355f5 100644 --- a/mediapipe/tasks/web/vision/gesture_recognizer/gesture_recognizer.ts +++ b/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 { @@ -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 diff --git a/mediapipe/tasks/web/vision/hand_landmarker/hand_landmarker.ts b/mediapipe/tasks/web/vision/hand_landmarker/hand_landmarker.ts index 6def4fb8..c2180b3d 100644 --- a/mediapipe/tasks/web/vision/hand_landmarker/hand_landmarker.ts +++ b/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 { @@ -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 diff --git a/mediapipe/tasks/web/vision/image_classifier/image_classifier.ts b/mediapipe/tasks/web/vision/image_classifier/image_classifier.ts index 60a097c6..851a69e6 100644 --- a/mediapipe/tasks/web/vision/image_classifier/image_classifier.ts +++ b/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 { @@ -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 diff --git a/mediapipe/tasks/web/vision/image_embedder/image_embedder.ts b/mediapipe/tasks/web/vision/image_embedder/image_embedder.ts index 7900746a..6c145378 100644 --- a/mediapipe/tasks/web/vision/image_embedder/image_embedder.ts +++ b/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 { @@ -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. */ diff --git a/mediapipe/tasks/web/vision/image_segmenter/image_segmenter.ts b/mediapipe/tasks/web/vision/image_segmenter/image_segmenter.ts index 2f35f667..d8751b9e 100644 --- a/mediapipe/tasks/web/vision/image_segmenter/image_segmenter.ts +++ b/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 { @@ -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[] { diff --git a/mediapipe/tasks/web/vision/interactive_segmenter/interactive_segmenter.ts b/mediapipe/tasks/web/vision/interactive_segmenter/interactive_segmenter.ts index acd7265c..887f5583 100644 --- a/mediapipe/tasks/web/vision/interactive_segmenter/interactive_segmenter.ts +++ b/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| diff --git a/mediapipe/tasks/web/vision/object_detector/object_detector.ts b/mediapipe/tasks/web/vision/object_detector/object_detector.ts index 7bfcc0f0..0c0ef86a 100644 --- a/mediapipe/tasks/web/vision/object_detector/object_detector.ts +++ b/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 { @@ -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 diff --git a/mediapipe/tasks/web/vision/pose_landmarker/pose_landmarker.ts b/mediapipe/tasks/web/vision/pose_landmarker/pose_landmarker.ts index d2cb9234..677d0bcb 100644 --- a/mediapipe/tasks/web/vision/pose_landmarker/pose_landmarker.ts +++ b/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 { @@ -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|