mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00
86 lines
3.4 KiB
C++
86 lines
3.4 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"
|
|
#include "fastdeploy/vision/ocr/ppocr/utils/ocr_postprocess_op.h"
|
|
|
|
namespace fastdeploy {
|
|
namespace vision {
|
|
|
|
namespace ocr {
|
|
/*! @brief Postprocessor object for DBDetector serials model.
|
|
*/
|
|
class FASTDEPLOY_DECL DBDetectorPostprocessor {
|
|
public:
|
|
/** \brief Process the result of runtime and fill to results structure
|
|
*
|
|
* \param[in] tensors The inference result from runtime
|
|
* \param[in] results The output result of detector
|
|
* \param[in] batch_det_img_info The detector_preprocess result
|
|
* \return true if the postprocess successed, otherwise false
|
|
*/
|
|
bool Run(const std::vector<FDTensor>& tensors,
|
|
std::vector<std::vector<std::array<int, 8>>>* results,
|
|
const std::vector<std::array<int, 4>>& batch_det_img_info);
|
|
|
|
/// Set det_db_thresh for the detection postprocess, default is 0.3
|
|
void SetDetDBThresh(double det_db_thresh) { det_db_thresh_ = det_db_thresh; }
|
|
/// Get det_db_thresh of the detection postprocess
|
|
double GetDetDBThresh() const { return det_db_thresh_; }
|
|
|
|
/// Set det_db_box_thresh for the detection postprocess, default is 0.6
|
|
void SetDetDBBoxThresh(double det_db_box_thresh) {
|
|
det_db_box_thresh_ = det_db_box_thresh;
|
|
}
|
|
/// Get det_db_box_thresh of the detection postprocess
|
|
double GetDetDBBoxThresh() const { return det_db_box_thresh_; }
|
|
|
|
/// Set det_db_unclip_ratio for the detection postprocess, default is 1.5
|
|
void SetDetDBUnclipRatio(double det_db_unclip_ratio) {
|
|
det_db_unclip_ratio_ = det_db_unclip_ratio;
|
|
}
|
|
/// Get det_db_unclip_ratio_ of the detection postprocess
|
|
double GetDetDBUnclipRatio() const { return det_db_unclip_ratio_; }
|
|
|
|
/// Set det_db_score_mode for the detection postprocess, default is 'slow'
|
|
void SetDetDBScoreMode(const std::string& det_db_score_mode) {
|
|
det_db_score_mode_ = det_db_score_mode;
|
|
}
|
|
/// Get det_db_score_mode_ of the detection postprocess
|
|
std::string GetDetDBScoreMode() const { return det_db_score_mode_; }
|
|
|
|
/// Set use_dilation for the detection postprocess, default is fasle
|
|
void SetUseDilation(int use_dilation) { use_dilation_ = use_dilation; }
|
|
/// Get use_dilation of the detection postprocess
|
|
int GetUseDilation() const { return use_dilation_; }
|
|
|
|
|
|
private:
|
|
double det_db_thresh_ = 0.3;
|
|
double det_db_box_thresh_ = 0.6;
|
|
double det_db_unclip_ratio_ = 1.5;
|
|
std::string det_db_score_mode_ = "slow";
|
|
bool use_dilation_ = false;
|
|
PostProcessor util_post_processor_;
|
|
bool SingleBatchPostprocessor(const float* out_data, int n2, int n3,
|
|
const std::array<int, 4>& det_img_info,
|
|
std::vector<std::array<int, 8>>* boxes_result);
|
|
};
|
|
|
|
} // namespace ocr
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|