mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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70 lines
2.1 KiB
C++
70 lines
2.1 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/fastdeploy_model.h"
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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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class FASTDEPLOY_DECL DBDetector : public FastDeployModel {
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public:
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DBDetector();
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DBDetector(const std::string& model_file, const std::string& params_file = "",
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const RuntimeOption& custom_option = RuntimeOption(),
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const ModelFormat& model_format = ModelFormat::PADDLE);
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std::string ModelName() const { return "ppocr/ocr_det"; }
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virtual bool Predict(cv::Mat* im,
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std::vector<std::array<int, 8>>* boxes_result);
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// pre&post process parameters
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int max_side_len;
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float ratio_h{};
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float ratio_w{};
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double det_db_thresh;
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double det_db_box_thresh;
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double det_db_unclip_ratio;
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std::string det_db_score_mode;
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bool use_dilation;
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std::vector<float> mean;
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std::vector<float> scale;
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bool is_scale;
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private:
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bool Initialize();
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bool Preprocess(Mat* mat, FDTensor* outputs,
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std::map<std::string, std::array<float, 2>>* im_info);
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bool Postprocess(FDTensor& infer_result,
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std::vector<std::array<int, 8>>* boxes_result,
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const std::map<std::string, std::array<float, 2>>& im_info);
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PostProcessor post_processor_;
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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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