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/*
* Copyright (c) 2022 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 KWS_CLASSIFIER_HPP
#define KWS_CLASSIFIER_HPP
#include "ClassificationResult.hpp"
#include "TensorFlowLiteMicro.hpp"
#include "Classifier.hpp"
#include <vector>
namespace arm {
namespace app {
/**
* @brief KWS Classifier - a helper class to get certain number of top
* results from the output vector from a classification NN.
* Allows for averaging of previous results.
**/
class KwsClassifier : public Classifier {
public:
/**
* @brief Gets the top N classification results from the
* output vector.
* @param[in] outputTensor Inference output tensor from an NN model.
* @param[out] vecResults A vector of classification results.
* populated by this function.
* @param[in] labels Labels vector to match classified classes.
* @param[in] topNCount Number of top classifications to pick. Default is 1.
* @param[in] useSoftmax Whether Softmax normalisation should be applied to output. Default is false.
* @param[in/out] resultHistory History of previous classification results to be updated.
* @return true if successful, false otherwise.
**/
using Classifier::GetClassificationResults; /* We are overloading not overriding. */
bool GetClassificationResults(TfLiteTensor* outputTensor, std::vector<ClassificationResult>& vecResults,
const std::vector <std::string>& labels, uint32_t topNCount,
bool use_softmax, std::vector<std::vector<float>>& resultHistory);
/**
* @brief Average the given history of results.
* @param[in] resultHistory The history of results to take on average of.
* @param[out] averageResult The calculated average.
**/
static void AveragResults(const std::vector<std::vector<float>>& resultHistory,
std::vector<float>& averageResult);
};
} /* namespace app */
} /* namespace arm */
#endif /* KWS_CLASSIFIER_HPP */
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