mobilenet_yolo的mean和norm问题

[DL-85]

我看到在examples/yolov2.cpp使用的减均值除方差方式是这样的：
const float mean_vals[3] = {0.5f, 0.5f, 0.5f};
const float norm_vals[3] = {0.007843f, 0.007843f, 0.007843f};
in.substract_mean_normalize(0, norm_vals);
in.substract_mean_normalize(mean_vals, 0);
这与
const float mean_vals[3] = {127.5f, 127.5f, 127.5f};
const float norm_vals[3] = {1.0/127.5,1.0/127.5,1.0/127.5};
in.substract_mean_normalize(mean_vals, norm_vals);
计算出来的结果并不相同，是不是应该改为
const float mean_vals[3] = {1.0f, 1.0f, 1.0f};
const float norm_vals[3] = {0.007843f, 0.007843f, 0.007843f};
in.substract_mean_normalize(0, norm_vals);
in.substract_mean_normalize(mean_vals, 0);
还是我哪里理解错了？

[nihui]

依照 caffe-yolo-windows repo 里的 demo 确实是先 scale 后去 mean