# ALVINN

Anatomy Lab Visual Identification Neural Net (A.L.V.I.N.N) is a f7 based app for using a computer vision neural net model to identify anatomical structures in photographic imagery.

## Install
* **Android:** Download the latest Android apk in [packages](https://gitea.azgeorgis.net/Georgi_Lab/ALVINN_f7/packages) and open the downloaded file to install.
* **iOS:** To do
* **Web app:** To do
* **Run from source:** Clone this repository and in the root directory run `npm install` followed by `npm start`.  For more information see [f7 info](f7_info.md).

## Quick Start
1. From the main screen of the app, select the menu icon in the upper left corner and go to `Settings`.
1. Make sure that `Use external server` option is selected and fill in address and port parameters to connect to a back end serving the ALVINN models (Doods2 is the default backend).
1. Save the settings and return to the main screen.
1. Select the region of the body you want to identify structures from.
1. In the region page, click on the camera icon to take a new picture or load a picture from storage. When the picture load, any identifiable structures will be listed as tags below the image.
1. Click on each tag to see the structure highlighted in the image.