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

namespace fastdeploy {
namespace vision {

namespace classification {
class FASTDEPLOY_DECL PaddleClasPreprocessor : public ProcessorManager {
 public:
  explicit PaddleClasPreprocessor(const std::string& config_file);

  virtual bool Apply(FDMatBatch* image_batch,
                     std::vector<FDTensor>* outputs);

  void DisableNormalize();
  void DisablePermute();

  void InitialResizeOnCpu(bool v) { initial_resize_on_cpu_ = v; }

 private:
  bool BuildPreprocessPipelineFromConfig();
  bool initialized_ = false;
  std::vector<std::shared_ptr<Processor>> processors_;
  // for recording the switch of hwc2chw
  bool disable_permute_ = false;
  // for recording the switch of normalize
  bool disable_normalize_ = false;
  // read config file
  std::string config_file_;
  bool initial_resize_on_cpu_ = false;
};

}  // namespace classification
}  // namespace vision
}  // namespace fastdeploy