/*
 * Copyright 2019 Xilinx Inc.
 *
 * 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 <vector>

#include <vitis/ai/nnpp/tfrefinedet.hpp>
#include <vitis/ai/refinedet.hpp>
using namespace std;
namespace vitis {
namespace ai {
class RefineDetImp : public RefineDet {
 public:
  RefineDetImp(const std::string& model_name, bool need_preprocess = true);
  virtual ~RefineDetImp();

 private:
  virtual RefineDetResult run(const cv::Mat& image) override;
  virtual std::vector<RefineDetResult> run(
      const std::vector<cv::Mat>& images) override;
  virtual std::vector<RefineDetResult> run(
      const std::vector<vart::xrt_bo_t>& input_bos) override;

 private:
  std::unique_ptr<RefineDetPostProcess> processor_;
  std::unique_ptr<TFRefineDetPostProcess> tfprocessor_;
  bool is_tf_;
};

}  // namespace ai
}  // namespace vitis
