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Diffstat (limited to 'source/use_case/img_class/src/ImgClassProcessing.cc')
| -rw-r--r-- | source/use_case/img_class/src/ImgClassProcessing.cc | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/source/use_case/img_class/src/ImgClassProcessing.cc b/source/use_case/img_class/src/ImgClassProcessing.cc new file mode 100644 index 0000000..e33e3c1 --- /dev/null +++ b/source/use_case/img_class/src/ImgClassProcessing.cc @@ -0,0 +1,66 @@ +/* + * 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. + */ +#include "ImgClassProcessing.hpp" +#include "ImageUtils.hpp" +#include "log_macros.h" + +namespace arm { +namespace app { + + ImgClassPreProcess::ImgClassPreProcess(Model* model) + { + this->m_model = model; + } + + bool ImgClassPreProcess::DoPreProcess(const void* data, size_t inputSize) + { + if (data == nullptr) { + printf_err("Data pointer is null"); + } + + auto input = static_cast<const uint8_t*>(data); + TfLiteTensor* inputTensor = this->m_model->GetInputTensor(0); + + memcpy(inputTensor->data.data, input, inputSize); + debug("Input tensor populated \n"); + + if (this->m_model->IsDataSigned()) { + image::ConvertImgToInt8(inputTensor->data.data, inputTensor->bytes); + } + + return true; + } + + ImgClassPostProcess::ImgClassPostProcess(Classifier& classifier, Model* model, + const std::vector<std::string>& labels, + std::vector<ClassificationResult>& results) + :m_imgClassifier{classifier}, + m_labels{labels}, + m_results{results} + { + this->m_model = model; + } + + bool ImgClassPostProcess::DoPostProcess() + { + return this->m_imgClassifier.GetClassificationResults( + this->m_model->GetOutputTensor(0), this->m_results, + this->m_labels, 5, false); + } + +} /* namespace app */ +} /* namespace arm */
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