50 lines
1.9 KiB
C++
50 lines
1.9 KiB
C++
/* Copyright 2022 The MediaPipe Authors. 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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http://www.apache.org/licenses/LICENSE-2.0
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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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#ifndef MEDIAPIPE_TASKS_CC_COMPONENTS_PROCESSORS_EMBEDDER_OPTIONS_H_
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#define MEDIAPIPE_TASKS_CC_COMPONENTS_PROCESSORS_EMBEDDER_OPTIONS_H_
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#include "mediapipe/tasks/cc/components/processors/proto/embedder_options.pb.h"
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namespace mediapipe {
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namespace tasks {
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namespace components {
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namespace processors {
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// Embedder options for MediaPipe C++ embedding extraction tasks.
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struct EmbedderOptions {
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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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bool l2_normalize;
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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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bool quantize;
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};
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proto::EmbedderOptions ConvertEmbedderOptionsToProto(
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EmbedderOptions* embedder_options);
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} // namespace processors
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} // namespace components
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} // namespace tasks
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} // namespace mediapipe
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#endif // MEDIAPIPE_TASKS_CC_COMPONENTS_PROCESSORS_EMBEDDER_OPTIONS_H_
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