preprocessor.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/vision/common/processors/transform.h"
#include "fastdeploy/vision/common/result.h"
#include "fastdeploy/vision/detection/ppdet/preprocessor.h"

namespace fastdeploy {

namespace vision {

namespace facedet {

class FASTDEPLOY_DECL BlazeFacePreprocessor:
      public fastdeploy::vision::detection::PaddleDetPreprocessor {
 public:
  BlazeFacePreprocessor() = default;

  explicit BlazeFacePreprocessor(const std::string& config_file);

  bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs,
           std::vector<std::map<std::string, std::array<float, 2>>>* ims_info);

 private:
  bool BuildPreprocessPipelineFromConfig();

  // if is_scale_up is false, the input image only can be zoom out,
  // the maximum resize scale cannot exceed 1.0
  bool is_scale_;

  std::vector<float> normalize_mean_;

  std::vector<float> normalize_std_;
  
  std::vector<std::shared_ptr<Processor>> processors_;
  // read config file
  std::string config_file_;
};

}  // namespace facedet

}  // namespace vision

}  // namespace fastdeploy