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author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-06 09:13:03 +0100 |
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committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-06 17:11:41 +0100 |
commit | aa4bcb14d0cbee910331545dd2fc086b58c37170 (patch) | |
tree | e67a43a43f61c6f8b6aad19018b0827baf7e31a6 /source/application/api/use_case/img_class/src/ImgClassProcessing.cc | |
parent | fcca863bafd5f33522bc14c23dde4540e264ec94 (diff) | |
download | ml-embedded-evaluation-kit-aa4bcb14d0cbee910331545dd2fc086b58c37170.tar.gz |
MLECO-3183: Refactoring application sources
Platform agnostic application sources are moved into application
api module with their own independent CMake projects.
Changes for MLECO-3080 also included - they create CMake projects
individial API's (again, platform agnostic) that dependent on the
common logic. The API for KWS_API "joint" API has been removed and
now the use case relies on individual KWS, and ASR API libraries.
Change-Id: I1f7748dc767abb3904634a04e0991b74ac7b756d
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
Diffstat (limited to 'source/application/api/use_case/img_class/src/ImgClassProcessing.cc')
-rw-r--r-- | source/application/api/use_case/img_class/src/ImgClassProcessing.cc | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/source/application/api/use_case/img_class/src/ImgClassProcessing.cc b/source/application/api/use_case/img_class/src/ImgClassProcessing.cc new file mode 100644 index 0000000..491e751 --- /dev/null +++ b/source/application/api/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(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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