Sandwhich
Sandwhich is a mobile app built to solve the sandwich debate by determining if the picture you've taken is a sandwich using machine learning, Flutter, and TensorFlow Lite.
Getting Started
Building from Source
Clone the repository
Run Sandwhich
Train Your Model/ How To 🚋 Your 🥪
To train your 🥪, you need to install Docker and ImageMagick.
Set up file structure for your images
Once original images are loaded into the folders, as described above, process the images
After all images have been processed we need to build the Docker image, run the script to retrain the model, and run the script to convert the retrained model to a
.tflite
model we can use in the app.
Go back to the root of the project and run:
Prepare to wait a while.
Testing
To test the new model, run
./test_model.sh $IMAGE_PATH
where $IMAGE_PATH
is any path to an image you want to test with. For convenience, you can even drag an image into the terminal to have its path placed at the end of whatever is currently in the terminal.- When ready to use the new model, move it to the assets folder and overwrite the old model. Backup old model if desired.
- Run the app, find some sandwiches, and enjoy!
To release on Android:
flutter build apk --target-platform android-arm64