mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-14 04:44:00 +08:00
70 lines
2.4 KiB
C++
Executable File
70 lines
2.4 KiB
C++
Executable File
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// 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.
|
|
|
|
#pragma once
|
|
#include "fastdeploy/vision/common/processors/manager.h"
|
|
#include "fastdeploy/vision/common/processors/transform.h"
|
|
#include "fastdeploy/vision/common/result.h"
|
|
|
|
namespace fastdeploy {
|
|
namespace vision {
|
|
|
|
namespace perception {
|
|
/*! @brief Preprocessor object for Caddn serials model.
|
|
*/
|
|
class FASTDEPLOY_DECL CaddnPreprocessor : public ProcessorManager {
|
|
public:
|
|
CaddnPreprocessor() = default;
|
|
/** \brief Create a preprocessor instance for Caddn model
|
|
*
|
|
* \param[in] config_file Path of configuration file for deployment, e.g Caddn/infer_cfg.yml
|
|
*/
|
|
explicit CaddnPreprocessor(const std::string& config_file);
|
|
|
|
bool Run(std::vector<FDMat>* images,
|
|
std::vector<float>& input_cam_data,
|
|
std::vector<float>& input_lidar_data,
|
|
std::vector<FDTensor>* outputs);
|
|
|
|
/** \brief Process the input image and prepare input tensors for runtime
|
|
*
|
|
* \param[in] images The input image data list, all the elements are returned by cv::imread()
|
|
* \param[in] outputs The output tensors which will feed in runtime
|
|
* \param[in] ims_info The shape info list, record input_shape and output_shape
|
|
* \return true if the preprocess successed, otherwise false
|
|
*/
|
|
bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs) {
|
|
FDERROR << "CaddnPreprocessor should input cam and lidar datas" << std::endl;
|
|
return 0;
|
|
};
|
|
bool Apply(FDMatBatch* image_batch,
|
|
std::vector<float>& input_cam_data,
|
|
std::vector<float>& input_lidar_data,
|
|
std::vector<FDTensor>* outputs);
|
|
|
|
protected:
|
|
bool BuildPreprocessPipeline();
|
|
std::vector<std::shared_ptr<Processor>> processors_;
|
|
|
|
bool disable_permute_ = false;
|
|
|
|
bool initialized_ = false;
|
|
|
|
std::string config_file_;
|
|
};
|
|
|
|
} // namespace perception
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|