Convert a model from tflite to a C++ source code using Android Neural Network API.
In a project directory create a build directory
$ mkdir build
$ cd build
In build directory call cmake to generate the make file, and call the make program
$ cmake ..
$ make
To verify if the compilation was successfully completed
$ .\nnt -h
-h [ --help ] Help screen
-i [ --info ] Info about model
-d [ --dot ] arg Generate dot file
-m [ --model ] arg flatbuffer neural network model
-p [ --path ] arg store generated files on this path
-j [ --javapackage ] arg java package for JNI
In all examples, consider I have a mobilenet_quant_v1_224.tflite model file in build directory, the same directory from where I am executing the nnt executaeble.
./nnt -m mobilenet_quant_v1_224.tflite -i
It generate the output:
::Inputs::
Placeholder<UINT8> [1, 224, 224, 3] (quantized)
└─ Quant: {min:[0], max:[1], scale: [0.00392157], zero_point:[0]}
::Outputs::
MobilenetV1/Predictions/Softmax<UINT8> [1, 1001] (quantized)
./nnt -m mobilenet_quant_v1_224.tflite -d mobnet.dot
The file mobnet.dot was generated on the same directory
./nnt -m mobilenet_quant_v1_224.tflite -j com.nnt.nnexample -p mobnet_path
It creates a directory with name "mobnet_path" with files: [jni.cc, nn.h, nn.cc, weights_biases.bin] where the java package is com.nnt.nnexample
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