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

namespace fastdeploy {
namespace vision {
namespace matting {
class FASTDEPLOY_DECL PPMatting : public FastDeployModel {
 public:
  PPMatting(const std::string& model_file, const std::string& params_file,
            const std::string& config_file,
            const RuntimeOption& custom_option = RuntimeOption(),
            const ModelFormat& model_format = ModelFormat::PADDLE);

  std::string ModelName() const { return "PaddleMatting"; }
  virtual bool Predict(cv::Mat* im, MattingResult* result);

 private:
  bool Initialize();

  bool BuildPreprocessPipelineFromConfig();

  bool Preprocess(Mat* mat, FDTensor* outputs,
                  std::map<std::string, std::array<int, 2>>* im_info);

  bool Postprocess(std::vector<FDTensor>& infer_result, MattingResult* result,
                   const std::map<std::string, std::array<int, 2>>& im_info);

  std::vector<std::shared_ptr<Processor>> processors_;
  std::string config_file_;
  bool is_fixed_input_shape_;
};

}  // namespace matting
}  // namespace vision
}  // namespace fastdeploy