We have been using mostly Dlib[0]. There was the need to develop solutions that can be statically compiled and produce dependency-free dlls and dlib delivered remarkbly on that aspect.
I haven't had success doing so using frameworks such as Torch and TF, even if their toolkit is better to develop new solutions.
Also we get to write code in C++, which can be a big positive when developing machine learning SDKs. I personally still do most of the prototyping in Python though.
I'll be checking the link on the post that mentions that pytorch allows models to be converted to c++, looks promising actually.
I haven't had success doing so using frameworks such as Torch and TF, even if their toolkit is better to develop new solutions.
Also we get to write code in C++, which can be a big positive when developing machine learning SDKs. I personally still do most of the prototyping in Python though.
I'll be checking the link on the post that mentions that pytorch allows models to be converted to c++, looks promising actually.
[0] http://dlib.net/