| /* |
| * 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 KWS_RESULT_HPP |
| #define KWS_RESULT_HPP |
| |
| #include "ClassificationResult.hpp" |
| |
| #include <vector> |
| |
| namespace arm { |
| namespace app { |
| namespace kws { |
| |
| using ResultVec = std::vector < arm::app::ClassificationResult >; |
| |
| /* Structure for holding kws result. */ |
| class KwsResult { |
| |
| public: |
| ResultVec m_resultVec; /* Container for "thresholded" classification results. */ |
| float m_timeStamp; /* Audio timestamp for this result. */ |
| uint32_t m_inferenceNumber; /* Corresponding inference number. */ |
| float m_threshold; /* Threshold value for `m_resultVec`. */ |
| |
| KwsResult() = delete; |
| KwsResult(ResultVec& resultVec, |
| const float timestamp, |
| const uint32_t inferenceIdx, |
| const float scoreThreshold) { |
| |
| this->m_threshold = scoreThreshold; |
| this->m_timeStamp = timestamp; |
| this->m_inferenceNumber = inferenceIdx; |
| |
| this->m_resultVec = ResultVec(); |
| for (auto & i : resultVec) { |
| if (i.m_normalisedVal >= this->m_threshold) { |
| this->m_resultVec.emplace_back(i); |
| } |
| } |
| } |
| ~KwsResult() = default; |
| }; |
| |
| } /* namespace kws */ |
| } /* namespace app */ |
| } /* namespace arm */ |
| |
| #endif /* KWS_RESULT_HPP */ |