diff options
Diffstat (limited to 'source/application/api/use_case/img_class/src')
-rw-r--r-- | source/application/api/use_case/img_class/src/ImgClassProcessing.cc | 66 | ||||
-rw-r--r-- | source/application/api/use_case/img_class/src/MobileNetModel.cc | 42 |
2 files changed, 108 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 */
\ No newline at end of file diff --git a/source/application/api/use_case/img_class/src/MobileNetModel.cc b/source/application/api/use_case/img_class/src/MobileNetModel.cc new file mode 100644 index 0000000..b700d70 --- /dev/null +++ b/source/application/api/use_case/img_class/src/MobileNetModel.cc @@ -0,0 +1,42 @@ +/* + * Copyright (c) 2021 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 "MobileNetModel.hpp" +#include "log_macros.h" + +const tflite::MicroOpResolver& arm::app::MobileNetModel::GetOpResolver() +{ + return this->m_opResolver; +} + +bool arm::app::MobileNetModel::EnlistOperations() +{ + this->m_opResolver.AddDepthwiseConv2D(); + this->m_opResolver.AddConv2D(); + this->m_opResolver.AddAveragePool2D(); + this->m_opResolver.AddAdd(); + this->m_opResolver.AddReshape(); + this->m_opResolver.AddSoftmax(); + + if (kTfLiteOk == this->m_opResolver.AddEthosU()) { + info("Added %s support to op resolver\n", + tflite::GetString_ETHOSU()); + } else { + printf_err("Failed to add Arm NPU support to op resolver."); + return false; + } + return true; +} |