Files
FastDeploy/fastdeploy/vision/classification/ppcls/preprocessor.h
Zheng-Bicheng 0401580264 [Bug Fix] Fixed Ppclas Bugs (#1009)
* 更新ppclas

* 更新ppclas

* 更新ppclas

* 更新ppclas
2022-12-29 14:13:55 +08:00

72 lines
2.4 KiB
C++

// 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/transform.h"
#include "fastdeploy/vision/common/result.h"
namespace fastdeploy {
namespace vision {
namespace classification {
/*! @brief Preprocessor object for PaddleClas serials model.
*/
class FASTDEPLOY_DECL PaddleClasPreprocessor {
public:
/** \brief Create a preprocessor instance for PaddleClas serials model
*
* \param[in] config_file Path of configuration file for deployment, e.g resnet/infer_cfg.yml
*/
explicit PaddleClasPreprocessor(const std::string& config_file);
/** \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
* \return true if the preprocess successed, otherwise false
*/
bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs);
/** \brief Use GPU to run preprocessing
*
* \param[in] gpu_id GPU device id
*/
void UseGpu(int gpu_id = -1);
bool WithGpu() { return use_cuda_; }
/// This function will disable normalize in preprocessing step.
void DisableNormalize();
/// This function will disable hwc2chw in preprocessing step.
void DisablePermute();
private:
bool BuildPreprocessPipelineFromConfig();
std::vector<std::shared_ptr<Processor>> processors_;
bool initialized_ = false;
bool use_cuda_ = false;
// GPU device id
int device_id_ = -1;
// for recording the switch of hwc2chw
bool disable_permute_ = false;
// for recording the switch of normalize
bool disable_normalize_ = false;
// read config file
std::string config_file_;
};
} // namespace classification
} // namespace vision
} // namespace fastdeploy