// 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 Recognizer serials model. */ class FASTDEPLOY_DECL RecognizerPostprocessor { public: RecognizerPostprocessor(); /** \brief Create a postprocessor instance for Recognizer serials model * * \param[in] label_path The path of label_dict */ explicit RecognizerPostprocessor(const std::string& label_path); /** \brief Process the result of runtime and fill to ClassifyResult structure * * \param[in] tensors The inference result from runtime * \param[in] texts The output result of recognizer * \param[in] rec_scores The output result of recognizer * \return true if the postprocess successed, otherwise false */ bool Run(const std::vector& tensors, std::vector* texts, std::vector* rec_scores); private: bool SingleBatchPostprocessor(const float* out_data, const std::vector& output_shape, std::string* text, float* rec_score); bool initialized_ = false; std::vector label_list_; }; } // namespace ocr } // namespace vision } // namespace fastdeploy