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https://github.com/PaddlePaddle/FastDeploy.git
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58d63f3e90
* Add Huawei Ascend NPU deploy through PaddleLite CANN * Add NNAdapter interface for paddlelite * Modify Huawei Ascend Cmake * Update way for compiling Huawei Ascend NPU deployment * remove UseLiteBackend in UseCANN * Support compile python whlee * Change names of nnadapter API * Add nnadapter pybind and remove useless API * Support Python deployment on Huawei Ascend NPU * Add models suppor for ascend * Add PPOCR rec reszie for ascend * fix conflict for ascend * Rename CANN to Ascend * Rename CANN to Ascend * Improve ascend * fix ascend bug * improve ascend docs * improve ascend docs * improve ascend docs * Improve Ascend * Improve Ascend * Move ascend python demo * Imporve ascend * Improve ascend * Improve ascend * Improve ascend * Improve ascend * Imporve ascend * Imporve ascend * Improve ascend * acc eval script * acc eval * remove acc_eval from branch huawei * Add detection and segmentation examples for Ascend deployment * Add detection and segmentation examples for Ascend deployment * Add PPOCR example for ascend deploy * Imporve paddle lite compiliation * Add FlyCV doc * Add FlyCV doc * Add FlyCV doc * Imporve Ascend docs * Imporve Ascend docs
85 lines
3.5 KiB
C++
85 lines
3.5 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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#include "fastdeploy/vision/ocr/ppocr/utils/ocr_postprocess_op.h"
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namespace fastdeploy {
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namespace vision {
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namespace ocr {
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/*! @brief Postprocessor object for DBDetector serials model.
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*/
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class FASTDEPLOY_DECL DBDetectorPostprocessor {
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public:
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/** \brief Process the result of runtime and fill to results structure
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*
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* \param[in] tensors The inference result from runtime
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* \param[in] results The output result of detector
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* \param[in] batch_det_img_info The detector_preprocess result
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* \return true if the postprocess successed, otherwise false
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*/
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bool Run(const std::vector<FDTensor>& tensors,
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std::vector<std::vector<std::array<int, 8>>>* results,
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const std::vector<std::array<int, 4>>& batch_det_img_info);
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/// Set det_db_thresh for the detection postprocess, default is 0.3
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void SetDetDBThresh(double det_db_thresh) { det_db_thresh_ = det_db_thresh; }
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/// Get det_db_thresh of the detection postprocess
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double GetDetDBThresh() const { return det_db_thresh_; }
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/// Set det_db_box_thresh for the detection postprocess, default is 0.6
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void SetDetDBBoxThresh(double det_db_box_thresh)
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{ det_db_box_thresh_ = det_db_box_thresh; }
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/// Get det_db_box_thresh of the detection postprocess
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double GetDetDBBoxThresh() const { return det_db_box_thresh_; }
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/// Set det_db_unclip_ratio for the detection postprocess, default is 1.5
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void SetDetDBUnclipRatio(double det_db_unclip_ratio)
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{ det_db_unclip_ratio_ = det_db_unclip_ratio; }
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/// Get det_db_unclip_ratio_ of the detection postprocess
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double GetDetDBUnclipRatio() const { return det_db_unclip_ratio_; }
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/// Set det_db_score_mode for the detection postprocess, default is 'slow'
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void SetDetDBScoreMode(std::string det_db_score_mode)
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{ det_db_score_mode_ = det_db_score_mode; }
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/// Get det_db_score_mode_ of the detection postprocess
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std::string GetDetDBScoreMode() const { return det_db_score_mode_; }
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/// Set use_dilation for the detection postprocess, default is fasle
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void SetUseDilation(int use_dilation) { use_dilation_ = use_dilation; }
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/// Get use_dilation of the detection postprocess
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int GetUseDilation() const { return use_dilation_; }
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double det_db_thresh_ = 0.3;
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double det_db_box_thresh_ = 0.6;
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double det_db_unclip_ratio_ = 1.5;
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std::string det_db_score_mode_ = "slow";
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bool use_dilation_ = false;
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private:
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PostProcessor util_post_processor_;
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bool SingleBatchPostprocessor(const float* out_data,
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int n2,
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int n3,
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const std::array<int, 4>& det_img_info,
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std::vector<std::array<int, 8>>* boxes_result);
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};
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} // namespace ocr
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} // namespace vision
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} // namespace fastdeploy
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