9-th modification based on retest info
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@ -1,9 +1,4 @@
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/*
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* Copyright (c) 2021. Huawei Technologies Co., Ltd. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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@ -16,12 +11,11 @@
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#ifndef MXBASE_DPN_H
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#define MXBASE_DPN_H
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#include <memory>
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#include <string>
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#include <vector>
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#include <opencv2/opencv.hpp>
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#include "MxBase/DvppWrapper/DvppWrapper.h"
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#include "MxBase/ModelInfer/ModelInferenceProcessor.h"
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// #include "ClassPostProcessors/DPN92PostProcess.h"
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#include "ClassPostProcessors/Resnet50PostProcess.h"
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#include "MxBase/Tensor/TensorContext/TensorContext.h"
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@ -36,32 +30,31 @@ struct InitParam {
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};
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class DPN {
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public:
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APP_ERROR Init(const InitParam &initParam);
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APP_ERROR DeInit();
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APP_ERROR ReadImage(const std::string &imgPath, const cv::Mat &imageMat);
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APP_ERROR ResizeImage(const cv::Mat &srcImageMat, const cv::Mat &dstImageMat);
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APP_ERROR CenterCropImage(const cv::Mat &img, const cv::Mat &crop_im);
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APP_ERROR CVMatToTensorBase(const cv::Mat &imageMat, const MxBase::TensorBase &tensorBase);
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APP_ERROR Inference(const std::vector<MxBase::TensorBase> &inputs, const std::vector<MxBase::TensorBase> &outputs);
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APP_ERROR PostProcess(const std::vector<MxBase::TensorBase> &inputs,
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const std::vector<std::vector<MxBase::ClassInfo>> &clsInfos);
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APP_ERROR Process(const std::vector<std::string> &batchImgPaths);
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// get infer time
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double GetInferCostMilliSec() const {return inferCostTimeMilliSec;}
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public:
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APP_ERROR Init(const InitParam &initParam);
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APP_ERROR DeInit();
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APP_ERROR ReadImage(const std::string &imgPath, cv::Mat &imageMat);
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APP_ERROR ResizeImage(const cv::Mat &srcImageMat, cv::Mat &dstImageMat);
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APP_ERROR CenterCropImage(const cv::Mat &img, cv::Mat &crop_im);
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APP_ERROR CVMatToTensorBase(const cv::Mat &imageMat, MxBase::TensorBase &tensorBase);
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APP_ERROR Inference(const std::vector<MxBase::TensorBase> &inputs, std::vector<MxBase::TensorBase> &outputs);
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APP_ERROR PostProcess(const std::vector<MxBase::TensorBase> &inputs,
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std::vector<std::vector<MxBase::ClassInfo>> &clsInfos);
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APP_ERROR Process(const std::vector<std::string> &batchImgPaths);
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// get infer time
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double GetInferCostMilliSec() const {return inferCostTimeMilliSec;}
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private:
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APP_ERROR SaveResult(const std::vector<std::string> &batchImgPaths,
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const std::vector<std::vector<MxBase::ClassInfo>> &batchClsInfos);
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private:
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std::shared_ptr<MxBase::DvppWrapper> dvppWrapper_;
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std::shared_ptr<MxBase::ModelInferenceProcessor> model_;
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std::shared_ptr<MxBase::Resnet50PostProcess> post_;
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MxBase::ModelDesc modelDesc_;
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uint32_t deviceId_ = 0;
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// infer time
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double inferCostTimeMilliSec = 0.0;
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private:
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APP_ERROR SaveResult(const std::vector<std::string> &batchImgPaths, const std::vector<std::vector<MxBase::ClassInfo>> &batchClsInfos);
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private:
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std::shared_ptr<MxBase::DvppWrapper> dvppWrapper_;
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std::shared_ptr<MxBase::ModelInferenceProcessor> model_;
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std::shared_ptr<MxBase::Resnet50PostProcess> post_;
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MxBase::ModelDesc modelDesc_;
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uint32_t deviceId_ = 0;
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// infer time
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double inferCostTimeMilliSec = 0.0;
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};
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#endif
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@ -23,7 +23,7 @@ namespace {
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const uint32_t BATCH_SIZE = 32;
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} // namespace
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APP_ERROR ScanImages(const std::string &path, const std::vector<std::string> &imgFiles) {
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APP_ERROR ScanImages(const std::string &path, std::vector<std::string> &imgFiles) {
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DIR *dirPtr = opendir(path.c_str());
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if (dirPtr == nullptr) {
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LogError << "opendir failed. dir:" << path;
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