Fabio
c36510c21e
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46 lines
1.4 KiB
C++
46 lines
1.4 KiB
C++
#pragma once
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#include "engine/framework/core/execution_context.h"
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/models/marblenet_vad/assets.h"
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#include "engine/framework/runtime/session.h"
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#include <cstdint>
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#include <memory>
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#include <vector>
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namespace engine::models::marblenet_vad {
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struct MarbleNetBackendWeights;
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struct MarbleNetInferenceResult {
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int64_t frames = 0;
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int64_t num_classes = 0;
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std::vector<float> logits;
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};
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class MarbleNetRuntime {
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public:
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MarbleNetRuntime(
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std::shared_ptr<const MarbleNetWeights> weights,
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core::ExecutionContext & execution_context,
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assets::TensorStorageType weight_storage_type);
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~MarbleNetRuntime();
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std::vector<float> extract_audio_features(const runtime::AudioBuffer & audio) const;
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MarbleNetInferenceResult infer_features(const std::vector<float> & features, int64_t frames);
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MarbleNetInferenceResult infer_audio(const runtime::AudioBuffer & audio);
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std::vector<runtime::SpeechSegment> detect_speech(
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const runtime::AudioBuffer & audio,
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float threshold);
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private:
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class Graph;
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Graph & ensure_graph(int64_t frames);
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std::shared_ptr<const MarbleNetWeights> weights_;
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std::shared_ptr<const MarbleNetBackendWeights> backend_weights_;
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core::ExecutionContext * execution_context_ = nullptr;
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std::unique_ptr<Graph> graph_;
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};
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} // namespace engine::models::marblenet_vad
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