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Diffstat (limited to 'source/application/api/use_case/img_class/include/ImgClassProcessing.hpp')
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1 files changed, 91 insertions, 0 deletions
diff --git a/source/application/api/use_case/img_class/include/ImgClassProcessing.hpp b/source/application/api/use_case/img_class/include/ImgClassProcessing.hpp new file mode 100644 index 0000000..55b5ce1 --- /dev/null +++ b/source/application/api/use_case/img_class/include/ImgClassProcessing.hpp @@ -0,0 +1,91 @@ +/* + * 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 */
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