// Copyright (c) 2019 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 <vector>

#include "paddle/fluid/inference/paddle_inference_api.h"
#include "seg-serving/image_seg.pb.h"

namespace baidu {
namespace paddle_serving {
namespace serving {
// rename
static const char* IMAGE_CLASSIFICATION_MODEL_NAME =
    "image_seg_deeplabv3p";

class ImageSegOp : public baidu::paddle_serving::predictor::OpWithChannel<
                       baidu::paddle_serving::image_segmentation::
                           ImageSegResponse> {
 public:
  typedef std::vector<paddle::PaddleTensor> TensorVector;

  DECLARE_OP(ImageSegOp);

  int inference();

 private:
  std::vector<unsigned char> mask_raw;
};

}  // namespace serving
}  // namespace paddle_serving
}  // namespace baidu

