mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00
91a1c72f98
* move manager initialized_ flag to ppcls * update dbdetector preprocess api * declare processor op * ppocr detector preprocessor support cvcuda * move cvcuda op to class member * ppcls use manager register api * refactor det preprocessor init api * add set preprocessor api * add create processor macro * new processor call api * ppcls preprocessor init resize on cpu * ppocr detector preprocessor set normalize api * revert ppcls pybind * remove dbdetector set preprocessor * refine dbdetector preprocessor includes * remove mean std in py constructor * add comments * update comment * Update __init__.py
72 lines
2.6 KiB
C++
72 lines
2.6 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/manager.h"
|
|
#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 ProcessorManager {
|
|
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] image_batch The input image batch
|
|
* \param[in] outputs The output tensors which will feed in runtime
|
|
* \return true if the preprocess successed, otherwise false
|
|
*/
|
|
virtual bool Apply(FDMatBatch* image_batch,
|
|
std::vector<FDTensor>* outputs);
|
|
|
|
/// This function will disable normalize in preprocessing step.
|
|
void DisableNormalize();
|
|
/// This function will disable hwc2chw in preprocessing step.
|
|
void DisablePermute();
|
|
|
|
/** \brief When the initial operator is Resize, and input image size is large,
|
|
* maybe it's better to run resize on CPU, because the HostToDevice memcpy
|
|
* is time consuming. Set this true to run the initial resize on CPU.
|
|
*
|
|
* \param[in] v ture or false
|
|
*/
|
|
void InitialResizeOnCpu(bool v) { initial_resize_on_cpu_ = v; }
|
|
|
|
private:
|
|
bool BuildPreprocessPipelineFromConfig();
|
|
bool initialized_ = false;
|
|
std::vector<std::shared_ptr<Processor>> processors_;
|
|
// 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_;
|
|
bool initial_resize_on_cpu_ = false;
|
|
};
|
|
|
|
} // namespace classification
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|