Normalize::Run

[fzhiheng]

code location：deploy/cpp_infer/src/preprocess_op.cpp

void Normalize::Run(cv::Mat *im, const std::vector<float> &mean,
                    const std::vector<float> &scale, const bool is_scale) {
  double e = 1.0;
  if (is_scale) {
    e /= 255.0;
  }
  (*im).convertTo(*im, CV_32FC3, e);
  std::vector<cv::Mat> bgr_channels(3);
  cv::split(*im, bgr_channels);
  for (auto i = 0; i < bgr_channels.size(); i++) {
    bgr_channels[i].convertTo(bgr_channels[i], CV_32FC1, 1.0 * scale[i],
                              (0.0 - mean[i]) * scale[i]);
  }
  cv::merge(bgr_channels, *im);
}

The order of mean_ = {0.485f, 0.456f, 0.406f} and scale_ = {1 / 0.229f, 1 / 0.224f, 1 / 0.225f} is RGB，but, the order of picture channels is BGR. Why to process image in this way？Is it wrong?