| /* |
| * 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 */ |