face_landmark_1000.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 facealign {
class FASTDEPLOY_DECL FaceLandmark1000 : public FastDeployModel {
 public:
  FaceLandmark1000(const std::string& model_file,
                   const std::string& params_file = "",
                   const RuntimeOption& custom_option = RuntimeOption(),
                   const ModelFormat& model_format = ModelFormat::ONNX);

  std::string ModelName() const { return "FaceLandmark1000"; }
  virtual bool Predict(cv::Mat* im, FaceAlignmentResult* result);

  std::vector<int> GetSize() { return size_; }
  void SetSize(const std::vector<int>& size) { size_ = size; }

 private:
  bool Initialize();

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

  bool Postprocess(FDTensor& infer_result, FaceAlignmentResult* result,
                   const std::map<std::string, std::array<int, 2>>& im_info);
  // tuple of (width, height), default (128, 128)
  std::vector<int> size_;
};

}  // namespace facealign
}  // namespace vision
}  // namespace fastdeploy