35 lines
1.3 KiB
TypeScript
35 lines
1.3 KiB
TypeScript
/**
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* Copyright 2022 The MediaPipe Authors.
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*
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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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* http://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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/** Options to configure a MediaPipe Embedder Task */
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export declare interface EmbedderOptions {
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/**
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* Whether to normalize the returned feature vector with L2 norm. Use this
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* option only if the model does not already contain a native L2_NORMALIZATION
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* TF Lite Op. In most cases, this is already the case and L2 norm is thus
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* achieved through TF Lite inference.
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*/
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l2Normalize?: boolean|undefined;
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/**
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* Whether the returned embedding should be quantized to bytes via scalar
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* quantization. Embeddings are implicitly assumed to be unit-norm and
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* therefore any dimension is guaranteed to have a value in [-1.0, 1.0]. Use
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* the l2_normalize option if this is not the case.
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*/
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quantize?: boolean|undefined;
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}
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