// 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/fastdeploy_model.h"
#include "fastdeploy/vision/common/processors/transform.h"
#include "fastdeploy/vision/common/result.h"
#include "fastdeploy/vision/utils/utils.h"

namespace fastdeploy {
namespace vision {
namespace segmentation {

class FASTDEPLOY_DECL PaddleSegPostprocessor {
 public:
  /** \brief Create a postprocessor instance for PaddleSeg serials model
   *
   * \param[in] config_file Path of configuration file for deployment, e.g ppliteseg/deploy.yaml
   */
  explicit PaddleSegPostprocessor(const std::string& config_file);

  /** \brief Process the result of runtime and fill to SegmentationResult structure
   *
   * \param[in] tensors The inference result from runtime
   * \param[in] result The output result of detection
   * \param[in] imgs_info The original input images shape info map, key is "shape_info", value is vector<array<int, 2>> a{{height, width}}
   * \return true if the postprocess successed, otherwise false
   */
  virtual bool Run(
    const std::vector<FDTensor>& infer_results,
    std::vector<SegmentationResult>* results,
    const std::map<std::string, std::vector<std::array<int, 2>>>& imgs_info);

  /** \brief Get apply_softmax property of PaddleSeg model, default is false
   */
  bool GetApplySoftmax() const {
    return apply_softmax_;
  }

  /// Set apply_softmax value, bool type required
  void SetApplySoftmax(bool value) {
    apply_softmax_ = value;
  }

  /// Get store_score_map property of PaddleSeg model, default is false
  bool GetStoreScoreMap() const {
    return store_score_map_;
  }

  /// Set store_score_map value, bool type required
  void SetStoreScoreMap(bool value) {
    store_score_map_ = value;
  }

 private:
  virtual bool ReadFromConfig(const std::string& config_file);

  virtual bool SliceOneResultFromBatchInferResults(
                  const FDTensor& infer_results,
                  FDTensor* infer_result,
                  const std::vector<int64_t>& infer_result_shape,
                  const int64_t& start_idx);

  virtual bool ProcessWithScoreResult(const FDTensor& infer_result,
                                      const int64_t& out_num,
                                      SegmentationResult* result);

  virtual bool ProcessWithLabelResult(const FDTensor& infer_result,
                                      const int64_t& out_num,
                                      SegmentationResult* result);

  virtual bool FDTensorCast2Uint8(FDTensor* infer_result,
                                  const int64_t& offset,
                                  std::vector<uint8_t>* uint8_result_buffer);

  bool is_with_softmax_ = false;

  bool is_with_argmax_ = true;

  bool apply_softmax_ = false;

  bool store_score_map_ = false;

  bool initialized_ = false;
};

}  // namespace segmentation
}  // namespace vision
}  // namespace fastdeploy