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,Β Flutter, andΒ TensorFlow Lite.
Screenshots
Built With
- Flutter Packages
- Flare by 2Dimensions
- Link to ourΒ flare fileΒ π€·ββοΈ
- Google Fonts
Getting Started
Building from Source
Clone the repository
git clone https://github.com/MotionMobs/Sandwhich
cd Sandwhich
Run Sandwhich
flutter run
Train Your Model/ How ToΒ πΒ Your π₯ͺ
To train your π₯ͺ, you need to installΒ DockerandImageMagick.
brew update && brew install imagemagick
Set up file structure for your images
training_images
β βββ input
β β βββ not-sandwich
β β β βββ processed # processed not-sandwich images
β β β βββ unprocessed # original, not yet processed not-sandwich images
β β βββ sandwich
β β β βββ processed # processed sandwich imagess
β β β βββ unprocessed # original, not yet processed sandwich images
β βββ output # ready for model
β β βββ not-sandwich # minimum 20 images to train
β β βββ sandwich # minimum 20 images to train
βββ
Once original images are loaded into the folders, as described above, process the images
cd training_images
./conversion.sh
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 aΒ .tfliteΒ model we can use in the app.
Go back to the root of the project and run:
cd -
./train.sh
Prepare to wait a while.
Testing
To test the new model, runΒ ./test_model.sh $IMAGE_PATHΒ whereΒ $IMAGE_PATHΒ 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
Credit (github url) :Β https://github.com/MotionMobs/Sandwhich
Next Article :Β https://flutterappdev.com/2019/04/09/a-flutter-accident-reporting-app-working-in-both-ios-and-android/










