// 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/detection/ppdet/ppyoloe.h"

namespace fastdeploy {
namespace vision {
namespace detection {

class FASTDEPLOY_DECL PPYOLO : public PPYOLOE {
 public:
  PPYOLO(const std::string& model_file, const std::string& params_file,
         const std::string& config_file,
         const RuntimeOption& custom_option = RuntimeOption(),
         const Frontend& model_format = Frontend::PADDLE);

  virtual std::string ModelName() const { return "PaddleDetection/PPYOLO"; }

  virtual bool Preprocess(Mat* mat, std::vector<FDTensor>* outputs);
  virtual bool Initialize();

 protected:
  PPYOLO() {}
};

class FASTDEPLOY_DECL PPYOLOv2 : public PPYOLO {
  public:
  PPYOLOv2(const std::string& model_file, const std::string& params_file,
         const std::string& config_file,
         const RuntimeOption& custom_option = RuntimeOption(),
         const Frontend& model_format = Frontend::PADDLE) : PPYOLO(model_file, params_file, config_file, custom_option, model_format) {
  }

  virtual std::string ModelName() const { return "PaddleDetection/PPYOLOv2"; }
};

}  // namespace detection
}  // namespace vision
}  // namespace fastdeploy