// 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/generation/contrib/preprocessor.h"
#include "fastdeploy/vision/generation/contrib/postprocessor.h"

namespace fastdeploy {

namespace vision {

namespace generation {
/*! @brief AnimeGAN model object is used when load a AnimeGAN model.
 */
class FASTDEPLOY_DECL AnimeGAN : public FastDeployModel {
 public:
  /** \brief  Set path of model file and the configuration of runtime.
   *
   * \param[in] model_file Path of model file, e.g ./model.pdmodel
   * \param[in] params_file Path of parameter file, e.g ./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
   */
  AnimeGAN(const std::string& model_file, const std::string& params_file = "",
         const RuntimeOption& custom_option = RuntimeOption(),
         const ModelFormat& model_format = ModelFormat::PADDLE);

  std::string ModelName() const { return "styletransfer/animegan"; }

  /** \brief Predict the style transfer 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 style transfer result will be writen to this structure
   * \return true if the prediction successed, otherwise false
   */
  bool Predict(cv::Mat& img, cv::Mat* result);

  /** \brief Predict the style transfer result for a batch of input images
   *
   * \param[in] images The list of input images, each element comes from cv::imread(), is a 3-D array with layout HWC, BGR format
   * \param[in] results The list of output style transfer results will be writen to this structure
   * \return true if the batch prediction successed, otherwise false
   */
  bool BatchPredict(const std::vector<cv::Mat>& images,
       std::vector<cv::Mat>* results);

  // Get preprocessor reference of AnimeGAN
  AnimeGANPreprocessor& GetPreprocessor() {
    return preprocessor_;
  }

  // Get postprocessor reference of AnimeGAN
  AnimeGANPostprocessor& GetPostprocessor() {
    return postprocessor_;
  }

 private:
  bool Initialize();

  AnimeGANPreprocessor preprocessor_;
  AnimeGANPostprocessor postprocessor_;
};

}  // namespace generation
}  // namespace vision
}  // namespace fastdeploy