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/*
* Copyright (c) 2021 Arm Limited. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef ADPOSTPROCESSING_HPP
#define ADPOSTPROCESSING_HPP
#include "TensorFlowLiteMicro.hpp"
#include <vector>
namespace arm {
namespace app {
/** @brief Dequantize TensorFlow Lite Micro tensor.
* @param[in] tensor Pointer to the TensorFlow Lite Micro tensor to be dequantized.
* @return Vector with the dequantized tensor values.
**/
template<typename T>
std::vector<float> Dequantize(TfLiteTensor* tensor);
/**
* @brief Calculates the softmax of vector in place. **/
void Softmax(std::vector<float>& inputVector);
/** @brief Given a wav file name return AD model output index.
* @param[in] wavFileName Audio WAV filename.
* File name should be in format anything_goes_XX_here.wav
* where XX is the machine ID e.g. 00, 02, 04 or 06
* @return AD model output index as 8 bit integer.
**/
int8_t OutputIndexFromFileName(std::string wavFileName);
} /* namespace app */
} /* namespace arm */
#endif /* ADPOSTPROCESSING_HPP */
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