myTag

Find your images quickly! myTag aims to be a simple auto-tagging image gallery.

Powered by a Tensorflow model with on-device classification. Built with Expo+React Native.

Current status

Right now, the first prototype achieves:

• On start, asks user for media library permissions. On the background, the app initializes the pre-trained model (COCO-SSD).
• When given, the app grabs all available images on the device and classifies one by one, caching results in local storage.
• After each new result, the app shows the currently selected category and images associated with it (photos with a person in it, for example).
• From the dropdown, the user can choose different categories and view the corresponding images.
• If the app is open later, the "analysis" will be much much faster, as results were cached locally.

We are currently working towards v1.1.0, with a new UI, dark theme and new features!

APK available: find these features and more in Releases

Contribute

You can either use the Docker container, or install Expo.

Docker

1. Install Docker Engine and Docker Compose.
2. Clone and start the container:

git clone git@github.com:cryptoboid/mytag.git
cd mytag
docker-compose run expo

3. Duplicate .env.template and rename to .env. If you will build/publish on Expo, complete your username and password, otherwise they are not necessary.
4. Once inside, start the expo server (with hot reloading): expo start
5. Download the Expo Go app in your phone and test it!

Locally

1. Install Expo CLI: https://expo.io/tools#cli
2. Clone repo:

git clone git@github.com:cryptoboid/mytag.git
cd mytag

3. Install npm packages: npm install
4. Duplicate .env.template and rename to .env. If you will build/publish on Expo, complete your username and password, otherwise they are not necessary.
5. Start the expo server (with hot reloading): expo start
6. Download the Expo Go app in your phone and test it!

Next steps

You can see our to-do list in this project. Feel free to work on any of these issues!

License

MIT