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/*
* 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 DETECTOR_PRE_PROCESSING_HPP
#define DETECTOR_PRE_PROCESSING_HPP
#include "BaseProcessing.hpp"
#include "Classifier.hpp"
namespace arm {
namespace app {
/**
* @brief Pre-processing class for Object detection use case.
* Implements methods declared by BasePreProcess and anything else needed
* to populate input tensors ready for inference.
*/
class DetectorPreProcess : public BasePreProcess {
public:
/**
* @brief Constructor
* @param[in] inputTensor Pointer to the TFLite Micro input Tensor.
* @param[in] rgb2Gray Convert image from 3 channel RGB to 1 channel grayscale.
* @param[in] convertToInt8 Convert the image from uint8 to int8 range.
**/
explicit DetectorPreProcess(TfLiteTensor* inputTensor, bool rgb2Gray, bool convertToInt8);
/**
* @brief Should perform pre-processing of 'raw' input image data and load it into
* TFLite Micro input tensor 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_rgb2Gray;
bool m_convertToInt8;
};
} /* namespace app */
} /* namespace arm */
#endif /* DETECTOR_PRE_PROCESSING_HPP */
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