* Copyright (c) 2022. Huawei Technologies Co., Ltd
*
* 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.
*/
#ifndef MXBASE_SERESNET_H
#define MXBASE_SERESNET_H
#include <vector>
#include <string>
#include <memory>
#include <opencv2/opencv.hpp>
#include "MxBase/DvppWrapper/DvppWrapper.h"
#include "MxBase/ModelInfer/ModelInferenceProcessor.h"
#include "ClassPostProcessors/Resnet50PostProcess.h"
#include "MxBase/Tensor/TensorContext/TensorContext.h"
extern std::vector<double> g_inferCost;
struct InitParam {
uint32_t deviceId;
std::string labelPath;
uint32_t classNum;
uint32_t topk;
bool softmax;
bool checkTensor;
std::string modelPath;
};
class SeResnet {
public:
APP_ERROR Init(const InitParam &initParam);
APP_ERROR DeInit();
APP_ERROR ReadImage(const std::string &imgPath, cv::Mat &imageMat);
APP_ERROR BinToTensorBase(const std::string file_path, MxBase::TensorBase &tensorBase);
APP_ERROR Inference(const std::vector<MxBase::TensorBase> &inputs, std::vector<MxBase::TensorBase> &outputs);
APP_ERROR PostProcess(const std::vector<MxBase::TensorBase> &inputs,
std::vector<std::vector<MxBase::ClassInfo>> &clsInfos);
APP_ERROR SaveInferResult(const std::string &imgPath,
const std::vector<std::vector<MxBase::ClassInfo>> &batchClsInfos);
APP_ERROR Process(const std::string &imgPath);
private:
std::shared_ptr<MxBase::ModelInferenceProcessor> model_;
std::shared_ptr<MxBase::Resnet50PostProcess> post_;
MxBase::ModelDesc modelDesc_;
uint32_t deviceId_ = 0;
};
#endif