diff options
Diffstat (limited to 'source/application/api/use_case/kws/include/KwsClassifier.hpp')
-rw-r--r-- | source/application/api/use_case/kws/include/KwsClassifier.hpp | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/source/application/api/use_case/kws/include/KwsClassifier.hpp b/source/application/api/use_case/kws/include/KwsClassifier.hpp new file mode 100644 index 0000000..d050e85 --- /dev/null +++ b/source/application/api/use_case/kws/include/KwsClassifier.hpp @@ -0,0 +1,66 @@ +/* + * 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 */ |