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/*
* SPDX-FileCopyrightText: Copyright 2022 Arm Limited and/or its affiliates <open-source-office@arm.com>
* 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.
*/
#include "ImgClassProcessing.hpp"
#include "ImageUtils.hpp"
#include "log_macros.h"
namespace arm {
namespace app {
ImgClassPreProcess::ImgClassPreProcess(TfLiteTensor* inputTensor, bool convertToInt8)
:m_inputTensor{inputTensor},
m_convertToInt8{convertToInt8}
{}
bool ImgClassPreProcess::DoPreProcess(const void* data, size_t inputSize)
{
if (data == nullptr) {
printf_err("Data pointer is null");
return false;
}
auto input = static_cast<const uint8_t*>(data);
std::memcpy(this->m_inputTensor->data.data, input, inputSize);
debug("Input tensor populated \n");
if (this->m_convertToInt8) {
image::ConvertImgToInt8(this->m_inputTensor->data.data, this->m_inputTensor->bytes);
}
return true;
}
ImgClassPostProcess::ImgClassPostProcess(TfLiteTensor* outputTensor, Classifier& classifier,
const std::vector<std::string>& labels,
std::vector<ClassificationResult>& results)
:m_outputTensor{outputTensor},
m_imgClassifier{classifier},
m_labels{labels},
m_results{results}
{}
bool ImgClassPostProcess::DoPostProcess()
{
return this->m_imgClassifier.GetClassificationResults(
this->m_outputTensor, this->m_results,
this->m_labels, 5, false);
}
} /* namespace app */
} /* namespace arm */
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