How to calculate Params on its model

[IgnacioTsai]

As the README.md said:

Yolo-Fastest-1.1-xl has 0.925M Params, but I don't get it how to calculate it?
If the model has been build on keras, I can use API model.summary() to get parameters.
But I don't know how to calculate automatically in darknet based framework.

I try to follow the step manually on Internet.
Conv = filter * kernel-width * kernel-high * output channel
Depthwisth = filter * kernel-width * kernel-high
Route = filter

I load Yolo-Fastest-1.1-xl.cfg weight to see each layer's information and calculate manually.
But I get my parameters about 1.88M.

Does anything wrong on my calculation? Could someone else provide the solution how to calculate the parameters of model?