Run TensorFlow Lite image segmentation in Qt desktop app (currenly for Mac only)
Open CMakeLists.txt with Qt Creator, or build the project with cmake manually.
This repo already includes tensorflow-lite build (v2.0.0), but if you want to use tensorflow-lite built by yourself do the following:
- Clone tensorflow repo
- Build tensorflow-lite for desktop
- If you are using Windows, use MSYS2
cd path/to/tensorflow
./tensorflow/lite/tools/make/download_dependencies.sh
./tensorflow/lite/tools/make/build_lib.sh
- Copy .a and .h
# Copy TensorFlow Lite headers
cd path/to/tensorflow/tensorflow/lite
gcp --parents **/*.h /path/to/tflite-qt-app/vendor/tensorflow-lite/include/tensorflow/lite
# Copy flatbuffers headers
cp -r tools/make/downloads/flatbuffers/include/flatbuffers /path/to/tflite-qt-app/vendor/tensorflow-lite/include
# Copy libtensorflow-lite.a (platform name may vary)
cp tools/make/gen/osx_x86_64/lib/libtensorflow-lite.a /path/to/tflite-qt-app/vendor/tensorflow-lite/osx_x86_64/lib