| /* |
| * 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 IMG_CLASS_PROCESSING_HPP |
| #define IMG_CLASS_PROCESSING_HPP |
| |
| #include "BaseProcessing.hpp" |
| #include "Classifier.hpp" |
| |
| namespace arm { |
| namespace app { |
| |
| /** |
| * @brief Pre-processing class for Image Classification use case. |
| * Implements methods declared by BasePreProcess and anything else needed |
| * to populate input tensors ready for inference. |
| */ |
| class ImgClassPreProcess : public BasePreProcess { |
| |
| public: |
| /** |
| * @brief Constructor |
| * @param[in] inputTensor Pointer to the TFLite Micro input Tensor. |
| * @param[in] convertToInt8 Should the image be converted to Int8 range. |
| **/ |
| explicit ImgClassPreProcess(TfLiteTensor* inputTensor, bool convertToInt8); |
| |
| /** |
| * @brief Should perform pre-processing of 'raw' input image data and load it into |
| * TFLite Micro input tensors ready for inference |
| * @param[in] input Pointer to the data that pre-processing will work on. |
| * @param[in] inputSize Size of the input data. |
| * @return true if successful, false otherwise. |
| **/ |
| bool DoPreProcess(const void* input, size_t inputSize) override; |
| |
| private: |
| TfLiteTensor* m_inputTensor; |
| bool m_convertToInt8; |
| }; |
| |
| /** |
| * @brief Post-processing class for Image Classification use case. |
| * Implements methods declared by BasePostProcess and anything else needed |
| * to populate result vector. |
| */ |
| class ImgClassPostProcess : public BasePostProcess { |
| |
| public: |
| /** |
| * @brief Constructor |
| * @param[in] outputTensor Pointer to the TFLite Micro output Tensor. |
| * @param[in] classifier Classifier object used to get top N results from classification. |
| * @param[in] labels Vector of string labels to identify each output of the model. |
| * @param[in] results Vector of classification results to store decoded outputs. |
| **/ |
| ImgClassPostProcess(TfLiteTensor* outputTensor, Classifier& classifier, |
| const std::vector<std::string>& labels, |
| std::vector<ClassificationResult>& results); |
| |
| /** |
| * @brief Should perform post-processing of the result of inference then |
| * populate classification result data for any later use. |
| * @return true if successful, false otherwise. |
| **/ |
| bool DoPostProcess() override; |
| |
| private: |
| TfLiteTensor* m_outputTensor; |
| Classifier& m_imgClassifier; |
| const std::vector<std::string>& m_labels; |
| std::vector<ClassificationResult>& m_results; |
| }; |
| |
| } /* namespace app */ |
| } /* namespace arm */ |
| |
| #endif /* IMG_CLASS_PROCESSING_HPP */ |