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author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-06 09:13:03 +0100 |
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committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-06 17:11:41 +0100 |
commit | aa4bcb14d0cbee910331545dd2fc086b58c37170 (patch) | |
tree | e67a43a43f61c6f8b6aad19018b0827baf7e31a6 /source/application/main/include/Classifier.hpp | |
parent | fcca863bafd5f33522bc14c23dde4540e264ec94 (diff) | |
download | ml-embedded-evaluation-kit-aa4bcb14d0cbee910331545dd2fc086b58c37170.tar.gz |
MLECO-3183: Refactoring application sources
Platform agnostic application sources are moved into application
api module with their own independent CMake projects.
Changes for MLECO-3080 also included - they create CMake projects
individial API's (again, platform agnostic) that dependent on the
common logic. The API for KWS_API "joint" API has been removed and
now the use case relies on individual KWS, and ASR API libraries.
Change-Id: I1f7748dc767abb3904634a04e0991b74ac7b756d
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
Diffstat (limited to 'source/application/main/include/Classifier.hpp')
-rw-r--r-- | source/application/main/include/Classifier.hpp | 89 |
1 files changed, 0 insertions, 89 deletions
diff --git a/source/application/main/include/Classifier.hpp b/source/application/main/include/Classifier.hpp deleted file mode 100644 index d641c22..0000000 --- a/source/application/main/include/Classifier.hpp +++ /dev/null @@ -1,89 +0,0 @@ -/* - * 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 CLASSIFIER_HPP -#define CLASSIFIER_HPP - -#include "ClassificationResult.hpp" -#include "TensorFlowLiteMicro.hpp" - -#include <vector> - -namespace arm { -namespace app { - - /** - * @brief Classifier - a helper class to get certain number of top - * results from the output vector from a classification NN. - **/ - class Classifier{ - public: - /** @brief Constructor. */ - Classifier() = default; - - /** - * @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. - * @return true if successful, false otherwise. - **/ - - virtual bool GetClassificationResults( - TfLiteTensor* outputTensor, - std::vector<ClassificationResult>& vecResults, - const std::vector <std::string>& labels, uint32_t topNCount, - bool use_softmax); - - /** - * @brief Populate the elements of the Classification Result object. - * @param[in] topNSet Ordered set of top 5 output class scores and labels. - * @param[out] vecResults A vector of classification results. - * populated by this function. - * @param[in] labels Labels vector to match classified classes. - **/ - - void SetVectorResults( - std::set<std::pair<float, uint32_t>>& topNSet, - std::vector<ClassificationResult>& vecResults, - const std::vector <std::string>& labels); - - private: - /** - * @brief Utility function that gets the top N classification results from the - * output vector. - * @param[in] tensor Inference output tensor from an NN model. - * @param[out] vecResults A vector of classification results - * populated by this function. - * @param[in] topNCount Number of top classifications to pick. - * @param[in] labels Labels vector to match classified classes. - * @return true if successful, false otherwise. - **/ - - bool GetTopNResults(const std::vector<float>& tensor, - std::vector<ClassificationResult>& vecResults, - uint32_t topNCount, - const std::vector <std::string>& labels); - }; - -} /* namespace app */ -} /* namespace arm */ - -#endif /* CLASSIFIER_HPP */ |