PaddleX/libs/ultra-infer/ultra_infer/vision/ocr/ppocr/rec_postprocessor.h

// 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/vision/common/processors/transform.h"
#include "ultra_infer/vision/common/result.h"
#include "ultra_infer/vision/ocr/ppocr/utils/ocr_postprocess_op.h"

namespace ultra_infer {
namespace vision {

namespace ocr {
/*! @brief Postprocessor object for Recognizer serials model.
 */
class ULTRAINFER_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 RecognizerResult
   *
   * \param[in] tensors The inference result from runtime
   * \param[in] texts The output text results of recognizer
   * \param[in] rec_scores The output score results of recognizer
   * \return true if the postprocess succeeded, otherwise false
   */
  bool Run(const std::vector<FDTensor> &tensors,
           std::vector<std::string> *texts, std::vector<float> *rec_scores);

  bool Run(const std::vector<FDTensor> &tensors,
           std::vector<std::string> *texts, std::vector<float> *rec_scores,
           size_t start_index, size_t total_size,
           const std::vector<int> &indices);

private:
  bool SingleBatchPostprocessor(const float *out_data,
                                const std::vector<int64_t> &output_shape,
                                std::string *text, float *rec_score);
  bool initialized_ = false;
  std::vector<std::string> label_list_;
};

} // namespace ocr
} // namespace vision
} // namespace ultra_infer