// 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 "ultra_infer/ultra_infer_model.h" #include "ultra_infer/utils/unique_ptr.h" #include "ultra_infer/vision/common/processors/transform.h" #include "ultra_infer/vision/common/result.h" #include "ultra_infer/vision/ocr/ppocr/structurev2_layout_postprocessor.h" #include "ultra_infer/vision/ocr/ppocr/structurev2_layout_preprocessor.h" #include "ultra_infer/vision/ocr/ppocr/utils/ocr_postprocess_op.h" namespace ultra_infer { namespace vision { namespace ocr { /*! @brief StructureV2Layout object is used to load the PP-StructureV2-Layout * detection model. */ class ULTRAINFER_DECL StructureV2Layout : public UltraInferModel { public: StructureV2Layout(); /** \brief Set path of model file, and the configuration of runtime * * \param[in] model_file Path of model file, e.g * ./picodet_lcnet_x1_0_fgd_layout_cdla_infer/model.pdmodel. \param[in] * params_file Path of parameter file, e.g * ./picodet_lcnet_x1_0_fgd_layout_cdla_infer/model.pdiparams, if the model * format is ONNX, this parameter will be ignored. \param[in] custom_option * RuntimeOption for inference, the default will use cpu, and choose the * backend defined in `valid_cpu_backends`. \param[in] model_format Model * format of the loaded model, default is Paddle format. */ StructureV2Layout(const std::string &model_file, const std::string ¶ms_file = "", const RuntimeOption &custom_option = RuntimeOption(), const ModelFormat &model_format = ModelFormat::PADDLE); /** \brief Clone a new StructureV2Layout with less memory usage when multiple * instances of the same model are created * * \return newStructureV2Layout* type unique pointer */ virtual std::unique_ptr Clone() const; /// Get model's name std::string ModelName() const { return "pp-structurev2-layout"; } /** \brief DEPRECATED Predict the detection result for an input image * * \param[in] im The input image data, comes from cv::imread(), is a 3-D array * with layout HWC, BGR format \param[in] result The output detection result * \return true if the prediction succeeded, otherwise false */ virtual bool Predict(cv::Mat *im, DetectionResult *result); /** \brief Predict the detection result for an input image * \param[in] im The input image data, comes from cv::imread(), is a 3-D array * with layout HWC, BGR format \param[in] result The output detection result * \return true if the prediction succeeded, otherwise false */ virtual bool Predict(const cv::Mat &im, DetectionResult *result); /** \brief Predict the detection result for an input image list * \param[in] im The input image list, all the elements come from * cv::imread(), is a 3-D array with layout HWC, BGR format \param[in] results * The output detection result list \return true if the prediction succeeded, * otherwise false */ virtual bool BatchPredict(const std::vector &imgs, std::vector *results); /// Get preprocessor reference ofStructureV2LayoutPreprocessor virtual StructureV2LayoutPreprocessor &GetPreprocessor() { return preprocessor_; } /// Get postprocessor reference ofStructureV2LayoutPostprocessor virtual StructureV2LayoutPostprocessor &GetPostprocessor() { return postprocessor_; } private: bool Initialize(); StructureV2LayoutPreprocessor preprocessor_; StructureV2LayoutPostprocessor postprocessor_; }; } // namespace ocr } // namespace vision } // namespace ultra_infer