Update links in README.md
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This package contains the audio tasks for MediaPipe.
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This package contains the audio tasks for MediaPipe.
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## Audio Classification
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## Audio Classifier
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The MediaPipe Audio Classification task performs classification on audio data.
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The MediaPipe Audio Classifier task performs classification on audio data.
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```
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```
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const audio = await FilesetResolver.forAudioTasks(
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const audio = await FilesetResolver.forAudioTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-audio@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-audio/wasm"
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);
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);
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const audioClassifier = await AudioClassifier.createFromModelPath(audio,
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const audioClassifier = await AudioClassifier.createFromModelPath(audio,
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"https://storage.googleapis.com/mediapipe-tasks/audio_classifier/yamnet_audio_classifier_with_metadata.tflite"
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"https://storage.googleapis.com/mediapipe-models/audio_classifier/yamnet/float32/1/yamnet.tflite
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);
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);
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const classifications = audioClassifier.classify(audioData);
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const classifications = audioClassifier.classify(audioData);
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```
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```
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For more information, refer to the [Audio Classifier](https://developers.google.com/mediapipe/solutions/audio/audio_classifier/web_js) documentation.
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## Audio Embedding
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## Audio Embedding
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The MediaPipe Audio Embedding task extracts embeddings from audio data.
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The MediaPipe Audio Embedding task extracts embeddings from audio data.
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```
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```
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const audio = await FilesetResolver.forAudioTasks(
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const audio = await FilesetResolver.forAudioTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-audio@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-audio/wasm"
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);
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);
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const audioEmbedder = await AudioEmbedder.createFromModelPath(audio,
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const audioEmbedder = await AudioEmbedder.createFromModelPath(audio,
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"model.tflite"
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"https://storage.googleapis.com/mediapipe-assets/yamnet_embedding_metadata.tflite?generation=1668295071595506"
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);
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);
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const embeddings = audioEmbedder.embed(audioData);
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const embeddings = audioEmbedder.embed(audioData);
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```
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```
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@ -2,47 +2,51 @@
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This package contains the text tasks for MediaPipe.
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This package contains the text tasks for MediaPipe.
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## Language Detection
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## Language Detector
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The MediaPipe Language Detector task predicts the language of an input text.
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The MediaPipe Language Detector task predicts the language of an input text.
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```
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```
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const text = await FilesetResolver.forTextTasks(
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const text = await FilesetResolver.forTextTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text/wasm"
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);
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);
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const languageDetector = await LanguageDetector.createFromModelPath(text,
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const languageDetector = await LanguageDetector.createFromModelPath(text,
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"model.tflite"
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"https://storage.googleapis.com/mediapipe-models/language_detector/language_detector/float32/1/language_detector.tflite
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);
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);
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const result = languageDetector.detect(textData);
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const result = languageDetector.detect(textData);
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```
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```
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## Text Classification
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For more information, refer to the [Language Detector](https://developers.google.com/mediapipe/solutions/text/language_detector/web_js) documentation.
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## Text Classifier
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The MediaPipe Text Classifier task lets you classify text into a set of defined
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The MediaPipe Text Classifier task lets you classify text into a set of defined
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categories, such as positive or negative sentiment.
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categories, such as positive or negative sentiment.
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```
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```
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const text = await FilesetResolver.forTextTasks(
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const text = await FilesetResolver.forTextTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text/wasm"
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);
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);
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const textClassifier = await TextClassifier.createFromModelPath(text,
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const textClassifier = await TextClassifier.createFromModelPath(text,
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"https://storage.googleapis.com/mediapipe-tasks/text_classifier/bert_text_classifier.tflite"
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"https://storage.googleapis.com/mediapipe-models/text_classifier/bert_classifier/float32/1/bert_classifier.tflite"
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);
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);
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const classifications = textClassifier.classify(textData);
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const classifications = textClassifier.classify(textData);
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```
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```
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For more information, refer to the [Text Classification](https://developers.google.com/mediapipe/solutions/text/text_classifier/web_js) documentation.
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For more information, refer to the [Text Classification](https://developers.google.com/mediapipe/solutions/text/text_classifier/web_js) documentation.
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## Text Embedding
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## Text Embedder
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The MediaPipe Text Embedding task extracts embeddings from text data.
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The MediaPipe Text Embedder task extracts embeddings from text data.
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```
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```
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const text = await FilesetResolver.forTextTasks(
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const text = await FilesetResolver.forTextTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-text/wasm"
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);
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);
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const textEmbedder = await TextEmbedder.createFromModelPath(text,
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const textEmbedder = await TextEmbedder.createFromModelPath(text,
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"https://storage.googleapis.com/mediapipe-tasks/text_embedder/mobilebert_embedding_with_metadata.tflite"
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"https://storage.googleapis.com/mediapipe-models/text_embedder/universal_sentence_encoder/float32/1/universal_sentence_encoder.tflite"
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);
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);
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const embeddings = textEmbedder.embed(textData);
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const embeddings = textEmbedder.embed(textData);
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```
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```
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For more information, refer to the [Text Embedder](https://developers.google.com/mediapipe/solutions/text/text_embedder/web_js) documentation.
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This package contains the vision tasks for MediaPipe.
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This package contains the vision tasks for MediaPipe.
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## Face Detection
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## Face Detector
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The MediaPipe Face Detector task lets you detect the presence and location of
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The MediaPipe Face Detector task lets you detect the presence and location of
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faces within images or videos.
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faces within images or videos.
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```
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```
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const vision = await FilesetResolver.forVisionTasks(
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const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
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);
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const faceDetector = await FaceDetector.createFromModelPath(vision,
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const faceDetector = await FaceDetector.createFromModelPath(vision,
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"https://storage.googleapis.com/mediapipe-tasks/face_detector/face_detection_short_range.tflite"
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"https://storage.googleapis.com/mediapipe-models/face_detector/blaze_face_short_range/float16/1/blaze_face_short_range.tflite"
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);
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const image = document.getElementById("image") as HTMLImageElement;
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const detections = faceDetector.detect(image);
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const detections = faceDetector.detect(image);
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```
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```
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## Face Landmark Detection
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For more information, refer to the [Face Detector](https://developers.google.com/mediapipe/solutions/vision/face_detector/web_js) documentation.
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## Face Landmarker
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The MediaPipe Face Landmarker task lets you detect the landmarks of faces in
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The MediaPipe Face Landmarker task lets you detect the landmarks of faces in
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an image. You can use this Task to localize key points of a face and render
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an image. You can use this Task to localize key points of a face and render
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@ -26,31 +28,33 @@ visual effects over the faces.
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```
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```
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const vision = await FilesetResolver.forVisionTasks(
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const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
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);
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const faceLandmarker = await FaceLandmarker.createFromModelPath(vision,
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const faceLandmarker = await FaceLandmarker.createFromModelPath(vision,
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"https://storage.googleapis.com/mediapipe-tasks/face_landmarker/face_landmarker.task"
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"https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/1/face_landmarker.task`"
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);
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const image = document.getElementById("image") as HTMLImageElement;
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const landmarks = faceLandmarker.detect(image);
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const landmarks = faceLandmarker.detect(image);
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```
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```
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For more information, refer to the [Face Landmarker](https://developers.google.com/mediapipe/solutions/vision/face_landmarker/web_js) documentation.
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## Face Stylizer
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## Face Stylizer
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The MediaPipe Face Stylizer lets you perform face stylization on images.
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The MediaPipe Face Stylizer lets you perform face stylization on images.
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```
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```
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const vision = await FilesetResolver.forVisionTasks(
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const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
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);
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const faceStylizer = await FaceStylizer.createFromModelPath(vision,
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const faceStylizer = await FaceStylizer.createFromModelPath(vision,
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"https://storage.googleapis.com/mediapipe-tasks/face_stylizer/face_stylizer_with_metadata.tflite"
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"https://storage.googleapis.com/mediapipe-models/face_stylizer/blaze_face_stylizer/float32/1/blaze_face_stylizer.task"
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);
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const image = document.getElementById("image") as HTMLImageElement;
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const stylizedImage = faceStylizer.stylize(image);
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const stylizedImage = faceStylizer.stylize(image);
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```
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```
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## Gesture Recognition
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## Gesture Recognizer
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The MediaPipe Gesture Recognizer task lets you recognize hand gestures in real
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The MediaPipe Gesture Recognizer task lets you recognize hand gestures in real
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time, and provides the recognized hand gesture results along with the landmarks
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time, and provides the recognized hand gesture results along with the landmarks
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@ -59,16 +63,18 @@ from a user, and invoke application features that correspond to those gestures.
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```
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```
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const vision = await FilesetResolver.forVisionTasks(
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const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
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);
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const gestureRecognizer = await GestureRecognizer.createFromModelPath(vision,
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const gestureRecognizer = await GestureRecognizer.createFromModelPath(vision,
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"https://storage.googleapis.com/mediapipe-tasks/gesture_recognizer/gesture_recognizer.task"
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"hhttps://storage.googleapis.com/mediapipe-models/gesture_recognizer/gesture_recognizer/float16/1/gesture_recognizer.task"
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);
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const image = document.getElementById("image") as HTMLImageElement;
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const recognitions = gestureRecognizer.recognize(image);
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const recognitions = gestureRecognizer.recognize(image);
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```
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```
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## Hand Landmark Detection
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For more information, refer to the [Gesture Recognizer](https://developers.google.com/mediapipe/solutions/vision/gesture_recognizer/web_js) documentation.
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## Hand Landmarker
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The MediaPipe Hand Landmarker task lets you detect the landmarks of the hands in
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The MediaPipe Hand Landmarker task lets you detect the landmarks of the hands in
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an image. You can use this Task to localize key points of the hands and render
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an image. You can use this Task to localize key points of the hands and render
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@ -76,18 +82,18 @@ visual effects over the hands.
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```
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```
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const vision = await FilesetResolver.forVisionTasks(
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const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
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);
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const handLandmarker = await HandLandmarker.createFromModelPath(vision,
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const handLandmarker = await HandLandmarker.createFromModelPath(vision,
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"https://storage.googleapis.com/mediapipe-tasks/hand_landmarker/hand_landmarker.task"
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"https://storage.googleapis.com/mediapipe-models/hand_landmarker/hand_landmarker/float16/1/hand_landmarker.task"
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);
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const image = document.getElementById("image") as HTMLImageElement;
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const landmarks = handLandmarker.detect(image);
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const landmarks = handLandmarker.detect(image);
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```
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```
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For more information, refer to the [Handlandmark Detection](https://developers.google.com/mediapipe/solutions/vision/hand_landmarker/web_js) documentation.
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For more information, refer to the [Hand Landmarker](https://developers.google.com/mediapipe/solutions/vision/hand_landmarker/web_js) documentation.
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## Image Classification
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## Image Classifier
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The MediaPipe Image Classifier task lets you perform classification on images.
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The MediaPipe Image Classifier task lets you perform classification on images.
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You can use this task to identify what an image represents among a set of
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You can use this task to identify what an image represents among a set of
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@ -95,27 +101,42 @@ categories defined at training time.
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```
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```
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const vision = await FilesetResolver.forVisionTasks(
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const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
|
"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
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);
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const imageClassifier = await ImageClassifier.createFromModelPath(vision,
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const imageClassifier = await ImageClassifier.createFromModelPath(vision,
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"https://storage.googleapis.com/mediapipe-tasks/image_classifier/efficientnet_lite0_uint8.tflite"
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"https://storage.googleapis.com/mediapipe-models/image_classifier/efficientnet_lite0/float32/1/efficientnet_lite0.tflite"
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);
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const image = document.getElementById("image") as HTMLImageElement;
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const classifications = imageClassifier.classify(image);
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const classifications = imageClassifier.classify(image);
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```
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```
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For more information, refer to the [Image Classification](https://developers.google.com/mediapipe/solutions/vision/image_classifier/web_js) documentation.
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For more information, refer to the [Image Classifier](https://developers.google.com/mediapipe/solutions/vision/image_classifier/web_js) documentation.
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|
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## Image Segmentation
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## Image Embedder
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|
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The MediaPipe Image Embedder extracts embeddings from an image.
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|
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```
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const vision = await FilesetResolver.forVisionTasks(
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|
"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
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const imageEmbedder = await ImageEmbedder.createFromModelPath(vision,
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"https://storage.googleapis.com/mediapipe-models/image_embedder/mobilenet_v3_small/float32/1/mobilenet_v3_small.tflite"
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const embeddings = imageSegmenter.embed(image);
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```
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## Image Segmenter
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|
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The MediaPipe Image Segmenter lets you segment an image into categories.
|
The MediaPipe Image Segmenter lets you segment an image into categories.
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|
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```
|
```
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const vision = await FilesetResolver.forVisionTasks(
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const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
|
"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
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);
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const imageSegmenter = await ImageSegmenter.createFromModelPath(vision,
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const imageSegmenter = await ImageSegmenter.createFromModelPath(vision,
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"https://storage.googleapis.com/mediapipe-tasks/image_segmenter/selfie_segmentation.tflite"
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"https://storage.googleapis.com/mediapipe-models/image_segmenter/deeplab_v3/float32/1/deeplab_v3.tflite"
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);
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const image = document.getElementById("image") as HTMLImageElement;
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imageSegmenter.segment(image, (masks, width, height) => {
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imageSegmenter.segment(image, (masks, width, height) => {
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@ -123,18 +144,20 @@ imageSegmenter.segment(image, (masks, width, height) => {
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});
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});
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```
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```
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## Interactive Segmentation
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For more information, refer to the [Image Segmenter](https://developers.google.com/mediapipe/solutions/vision/image_segmenter/web_js) documentation.
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## Interactive Segmenter
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|
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The MediaPipe Interactive Segmenter lets you select a region of interest to
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The MediaPipe Interactive Segmenter lets you select a region of interest to
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segment an image by.
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segment an image by.
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|
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```
|
```
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const vision = await FilesetResolver.forVisionTasks(
|
const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
|
"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
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);
|
);
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const interactiveSegmenter = await InteractiveSegmenter.createFromModelPath(
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const interactiveSegmenter = await InteractiveSegmenter.createFromModelPath(
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vision,
|
vision,
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"https://storage.googleapis.com/mediapipe-tasks/interactive_segmenter/ptm_512_hdt_ptm_woid.tflite
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"https://storage.googleapis.com/mediapipe-models/interactive_segmenter/magic_touch/float32/1/magic_touch.tflite"
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);
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);
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const image = document.getElementById("image") as HTMLImageElement;
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const image = document.getElementById("image") as HTMLImageElement;
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interactiveSegmenter.segment(image, { keypoint: { x: 0.1, y: 0.2 } },
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interactiveSegmenter.segment(image, { keypoint: { x: 0.1, y: 0.2 } },
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@ -142,17 +165,19 @@ interactiveSegmenter.segment(image, { keypoint: { x: 0.1, y: 0.2 } },
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);
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);
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```
|
```
|
||||||
|
|
||||||
## Object Detection
|
For more information, refer to the [Interactive Segmenter](https://developers.google.com/mediapipe/solutions/vision/interactive_segmenter/web_js) documentation.
|
||||||
|
|
||||||
|
## Object Detector
|
||||||
|
|
||||||
The MediaPipe Object Detector task lets you detect the presence and location of
|
The MediaPipe Object Detector task lets you detect the presence and location of
|
||||||
multiple classes of objects within images or videos.
|
multiple classes of objects within images or videos.
|
||||||
|
|
||||||
```
|
```
|
||||||
const vision = await FilesetResolver.forVisionTasks(
|
const vision = await FilesetResolver.forVisionTasks(
|
||||||
"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
|
"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
|
||||||
);
|
);
|
||||||
const objectDetector = await ObjectDetector.createFromModelPath(vision,
|
const objectDetector = await ObjectDetector.createFromModelPath(vision,
|
||||||
"https://storage.googleapis.com/mediapipe-tasks/object_detector/efficientdet_lite0_uint8.tflite"
|
"https://storage.googleapis.com/mediapipe-models/object_detector/efficientdet_lite0/float16/1/efficientdet_lite0.tflite"
|
||||||
);
|
);
|
||||||
const image = document.getElementById("image") as HTMLImageElement;
|
const image = document.getElementById("image") as HTMLImageElement;
|
||||||
const detections = objectDetector.detect(image);
|
const detections = objectDetector.detect(image);
|
||||||
|
@ -160,8 +185,7 @@ const detections = objectDetector.detect(image);
|
||||||
|
|
||||||
For more information, refer to the [Object Detector](https://developers.google.com/mediapipe/solutions/vision/object_detector/web_js) documentation.
|
For more information, refer to the [Object Detector](https://developers.google.com/mediapipe/solutions/vision/object_detector/web_js) documentation.
|
||||||
|
|
||||||
|
## Pose Landmarker
|
||||||
## Pose Landmark Detection
|
|
||||||
|
|
||||||
The MediaPipe Pose Landmarker task lets you detect the landmarks of body poses
|
The MediaPipe Pose Landmarker task lets you detect the landmarks of body poses
|
||||||
in an image. You can use this Task to localize key points of a pose and render
|
in an image. You can use this Task to localize key points of a pose and render
|
||||||
|
@ -169,11 +193,13 @@ visual effects over the body.
|
||||||
|
|
||||||
```
|
```
|
||||||
const vision = await FilesetResolver.forVisionTasks(
|
const vision = await FilesetResolver.forVisionTasks(
|
||||||
"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm"
|
"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/wasm"
|
||||||
);
|
);
|
||||||
const poseLandmarker = await PoseLandmarker.createFromModelPath(vision,
|
const poseLandmarker = await PoseLandmarker.createFromModelPath(vision,
|
||||||
"model.task"
|
"https://storage.googleapis.com/mediapipe-models/pose_landmarker/pose_landmarker_lite/float16/1/pose_landmarker_lite.task
|
||||||
);
|
);
|
||||||
const image = document.getElementById("image") as HTMLImageElement;
|
const image = document.getElementById("image") as HTMLImageElement;
|
||||||
const landmarks = poseLandmarker.detect(image);
|
const landmarks = poseLandmarker.detect(image);
|
||||||
```
|
```
|
||||||
|
|
||||||
|
For more information, refer to the [Pose Landmarker](https://developers.google.com/mediapipe/solutions/vision/pose_landmarker/web_js) documentation.
|
||||||
|
|
Loading…
Reference in New Issue
Block a user