17 lines
1.2 KiB
Markdown
17 lines
1.2 KiB
Markdown
# ALVINN
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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.
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## Install
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* **Android:** Download the latest Android apk in [packages](https://gitea.azgeorgis.net/Georgi_Lab/ALVINN_f7/packages) and open the downloaded file to install.
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* **iOS:** To do
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* **Web app:** To do
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* **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).
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## Quick Start
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1. From the main screen of the app, select the menu icon in the upper left corner and go to `Settings`.
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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).
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1. Save the settings and return to the main screen.
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1. Select the region of the body you want to identify structures from.
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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.
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1. Click on each tag to see the structure highlighted in the image. |