41 lines
1.7 KiB
TypeScript
41 lines
1.7 KiB
TypeScript
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/**
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* @license
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* Copyright 2019 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import * as tf from '@tensorflow/tfjs-core';
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import { BlazeFaceModel } from './face';
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interface BlazeFaceConfig {
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maxFaces?: number;
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inputWidth?: number;
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inputHeight?: number;
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iouThreshold?: number;
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scoreThreshold?: number;
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modelUrl?: string | tf.io.IOHandler;
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}
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/**
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* Load blazeface.
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*
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* @param config A configuration object with the following properties:
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* `maxFaces` The maximum number of faces returned by the model.
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* `inputWidth` The width of the input image.
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* `inputHeight` The height of the input image.
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* `iouThreshold` The threshold for deciding whether boxes overlap too
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* much.
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* `scoreThreshold` The threshold for deciding when to remove boxes based
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* on score.
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*/
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export declare function load({ maxFaces, inputWidth, inputHeight, iouThreshold, scoreThreshold, modelUrl, }?: BlazeFaceConfig): Promise<BlazeFaceModel>;
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export { NormalizedFace, BlazeFaceModel, BlazeFacePrediction } from './face';
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