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#ifndef MODULES_INFERENCE2_INCLUDE_VIDEO_PREPROC_HPP_
#define MODULES_INFERENCE2_INCLUDE_VIDEO_PREPROC_HPP_

/**
 *  \file video_preproc.hpp
 *
 *  This file contains a declaration of class VideoPreproc
 */

#include <memory>
#include <string>
#include <utility>
#include <vector>

#include "cnis/contrib/video_helper.h"
#include "cnis/infer_server.h"
#include "cnis/processor.h"
#include "cnstream_frame.hpp"
#include "cnstream_frame_va.hpp"
#include "reflex_object.h"

namespace cnstream {

/**
 * @brief VideoPreproc is the base class of video preprocessing.
 */
class VideoPreproc : virtual public ReflexObjectEx<VideoPreproc> {
 public:
  /**
   * @brief Destructs an object.
   *
   * @return No return value.
   */
  virtual ~VideoPreproc() {}
  /**
   * @brief Creates a preprocess object with the given preprocess's class name.
   *
   * @param[in] proc_name The preprocess class name.
   *
   * @return The pointer to preprocess object.
   */
  static VideoPreproc* Create(const std::string& proc_name);

  /**
   * @brief Sets model input pixel format.
   *
   * @param[in] fmt The model input pixel format.
   *
   * @return No return value.
   */
  void SetModelInputPixelFormat(infer_server::video::PixelFmt fmt) {
    model_input_pixel_format_ = fmt;
  }

  /**
   * @brief Executes preprocessing on the origin data.
   *
   * @param[out] model_input The input of neural network.
   * @param[in] input_data The raw input data. The user could get infer_server::video::VideoFrame object from it.
   * @param[in] model_info The model information, e.g., input/output number, shape and etc.
   *
   * @note The input_data holds infer_server::video::VideoFrame object. Use the statement to get video frame: 
   *      `const infer_server::video::VideoFrame& frame = input_data.GetLref<infer_server::video::VideoFrame>();`.
   *       After preprocessing, you should set the result to model_output. For example, the model only has one input,
   *       then you should copy the result to `model_input->buffers[0].MutableData()`  which is a void pointer.
   *
   * @return Returns true if successful, otherwise returns false.
   */
  virtual bool Execute(infer_server::ModelIO* model_input, const infer_server::InferData& input_data,
                       const infer_server::ModelInfo& model_info) = 0;

 protected:
  infer_server::video::PixelFmt model_input_pixel_format_ = infer_server::video::PixelFmt::RGB24;
};  // class VideoPreproc

}  // namespace cnstream

#endif  // ifndef MODULES_INFERENCE2_INCLUDE_VIDEO_PREPROC_HPP_