A c++ library to use Keras DNN in c++ programs.
There are two script that can read tensoflow or keras DNN weight from a saved model, and convert them into txt file. After that you can use the CppDnn to read the txt weight file and use the DNN in c++ programs.
After that, install Eigen3: https://eigen.tuxfamily.org/dox/index.html
sudo apt install libeigen3-dev
mkdir build
cd build
cmake ..
make
sudo make install
cd script
python DecodeKerasModel.py input-path output-path
There is an example in CppDNN/example/simple_main/main.cpp
int main()
{
DeepNueralNetwork dnn;
dnn.ReadFromKeras("/home/nader/workspace/github/CppDNN/example/keras_simple/simple.txt");
MatrixXd input(5,1);
input(0,0) = 1;
input(1,0) = 2;
input(2,0) = 1;
input(3,0) = 2;
input(4,0) = 1;
dnn.Calculate(input);
cout<<dnn.mOutput<<std::endl;
}
