A simple example that shows how to use TensorFlow Lite with Qt. That's a modified version of the label_image example.
Tested on Ubuntu 20.04.
- Install Visual Studio Code with Remote Containers extension
- Clone this project and open in Visual Studio Code
git clone https://github.com/IvanSafonov/qt-tf-lite-example.git code ./qt-tf-lite-example
- In the Command Palette find and click Remote-Containers: Reopen in Container
- In the Command Palette find and click CMake: Build
The result executable file can be found in the build subdirectory.
vscode ➜ /workspaces/qt-tf-lite-example $ ./build/qt-tf-lite-example -h
Usage: ./build/qt-tf-lite-example [options] images
Qt TensorFlow Lite example
Options:
-h, --help Displays this help.
-m, --model <model> TFLite model
-l, --labels <labels> Model labels file
Arguments:
images Input images for classificationvscode ➜ /workspaces/qt-tf-lite-example $ ./build/qt-tf-lite-example ./grace_hopper.jpg
INFO: Initialized TensorFlow Lite runtime.
"./grace_hopper.jpg"
0.784314 653 "military uniform"
0.105882 907 "Windsor tie"
0.0156863 458 "bow tie"
0.0117647 466 "bulletproof vest"
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