mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
0c664fd006
* Fix memory leak problem for paddleseg model * Fix bug * Update postprocessor.cc --------- Co-authored-by: root <root@bjyz-sys-gpu-kongming3.bjyz.baidu.com>
97 lines
3.3 KiB
C++
97 lines
3.3 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/fastdeploy_model.h"
|
|
#include "fastdeploy/vision/common/processors/transform.h"
|
|
#include "fastdeploy/vision/common/result.h"
|
|
#include "fastdeploy/vision/utils/utils.h"
|
|
|
|
namespace fastdeploy {
|
|
namespace vision {
|
|
namespace segmentation {
|
|
/*! @brief Postprocessor object for PaddleSeg serials model.
|
|
*/
|
|
class FASTDEPLOY_DECL PaddleSegPostprocessor {
|
|
public:
|
|
/** \brief Create a postprocessor instance for PaddleSeg serials model
|
|
*
|
|
* \param[in] config_file Path of configuration file for deployment, e.g ppliteseg/deploy.yaml
|
|
*/
|
|
explicit PaddleSegPostprocessor(const std::string& config_file);
|
|
|
|
/** \brief Process the result of runtime and fill to SegmentationResult structure
|
|
*
|
|
* \param[in] tensors The inference result from runtime
|
|
* \param[in] result The output result of detection
|
|
* \param[in] imgs_info The original input images shape info map, key is "shape_info", value is vector<array<int, 2>> a{{height, width}}
|
|
* \return true if the postprocess successed, otherwise false
|
|
*/
|
|
virtual bool Run(
|
|
const std::vector<FDTensor>& infer_results,
|
|
std::vector<SegmentationResult>* results,
|
|
const std::map<std::string, std::vector<std::array<int, 2>>>& imgs_info);
|
|
|
|
/** \brief Get apply_softmax property of PaddleSeg model, default is false
|
|
*/
|
|
bool GetApplySoftmax() const {
|
|
return apply_softmax_;
|
|
}
|
|
|
|
/// Set apply_softmax value, bool type required
|
|
void SetApplySoftmax(bool value) {
|
|
apply_softmax_ = value;
|
|
}
|
|
|
|
/// Get store_score_map property of PaddleSeg model, default is false
|
|
bool GetStoreScoreMap() const {
|
|
return store_score_map_;
|
|
}
|
|
|
|
/// Set store_score_map value, bool type required
|
|
void SetStoreScoreMap(bool value) {
|
|
store_score_map_ = value;
|
|
}
|
|
|
|
private:
|
|
virtual bool ReadFromConfig(const std::string& config_file);
|
|
|
|
virtual bool SliceOneResultFromBatchInferResults(
|
|
const FDTensor& infer_results,
|
|
FDTensor* infer_result,
|
|
const std::vector<int64_t>& infer_result_shape,
|
|
const int64_t& start_idx);
|
|
|
|
virtual bool ProcessWithScoreResult(const FDTensor& infer_result,
|
|
const int64_t& out_num,
|
|
SegmentationResult* result);
|
|
|
|
virtual bool ProcessWithLabelResult(const FDTensor& infer_result,
|
|
const int64_t& out_num,
|
|
SegmentationResult* result);
|
|
|
|
bool is_with_softmax_ = false;
|
|
|
|
bool is_with_argmax_ = true;
|
|
|
|
bool apply_softmax_ = false;
|
|
|
|
bool store_score_map_ = false;
|
|
|
|
bool initialized_ = false;
|
|
};
|
|
|
|
} // namespace segmentation
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|