Synet is a small framework to inference neural network on CPU. Synet uses models previously trained by other deep neural network frameworks such as Caffe, Darknet, Tensorflow and OpenCV/DNN.
The main advantages of Synet are:
- Synet is faster then most other DNN original frameworks (has great one thread CPU performance).
- Synet is header only, small C++ library.
- Synet has only one external dependence - Simd Library.