Mav


A gRPC image recognition service that uses Tensorflow and Computer Vision.

Start

``sh
yarn
yarn dev


or


docker compose up
`

You can also install as a library via yarn add @a11ywatch/mav to use inside your own node project.

The server will run on port 50053.

$3

View the proto file to get started.

Computer Vision

In order to use computer vision from azure you need to add the following env keys COMPUTER_VISION_SUBSCRIPTION_KEY and COMPUTER_VISION_ENDPOINT.
This repo is setup to use a collection of services to determine what an alt tag may be.

Tensorflow

We use Tensorflow for the first step/layer to gather what the alt tag would be.
Currently tensorflow on node has a problem with building the @tensorflow/tf-node lib across varius architectures like M1 chips.
To work around this issue we use a wasm backend that also performs better than the default tensorflow backend for node. The one
drawback to using this currently is that it takes up about 500mb of space initially. If you want to disable Tensorflow you can set the
env variable of DISABLE_TENSORFLOW=true` and it will not perform any Tensorflow actions.

LICENSE

check the license file in the root of the project.