PaddleX/libs/ultra-infer/ultra_infer/vision/common/processors/convert.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 "ultra_infer/vision/common/processors/base.h"

namespace ultra_infer {
namespace vision {
/*! @brief Processor for convert images with given parameters.
 */
class ULTRAINFER_DECL Convert : public Processor {
public:
  Convert(const std::vector<float> &alpha, const std::vector<float> &beta);

  bool ImplByOpenCV(Mat *mat);
#ifdef ENABLE_FLYCV
  bool ImplByFlyCV(Mat *mat);
#endif
  std::string Name() { return "Convert"; }

  // Compute `result = mat * alpha + beta` directly by channel.
  // The default behavior is the same as OpenCV's convertTo method.
  /** \brief Process the input images
   *
   * \param[in] mat The input image data，`result = mat * alpha + beta`
   * \param[in] alpha The alpha channel data
   * \param[in] beta The beta channel data
   * \param[in] lib to define OpenCV or FlyCV or CVCUDA will be used.
   * \return true if the process succeeded, otherwise false
   */
  static bool Run(Mat *mat, const std::vector<float> &alpha,
                  const std::vector<float> &beta,
                  ProcLib lib = ProcLib::DEFAULT);

private:
  std::vector<float> alpha_;
  std::vector<float> beta_;
};
} // namespace vision
} // namespace ultra_infer