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Marsjs is the browser client for Mars@Home. Currently this extension labels image fromUnsplash in browser - using MobileNet on Tensorflow.Js. It is available onFirefox addons site andChrome web store.

InstallMars@Home for FirefoxInstallMars@Home for Google Chrome

Clone this project

$ git clone https://github.com/MarsAtHome/marsjs

• captioner: Contains MobileNet & TensorflowJs code for Image Labeling
• extension: Contains code of Chrome Extension
• images: Screenshots & media files for the README
• logo-files: Logo files forMars@Home

1. Go toabout:debugging in Firefox

2. ClickLoad Temporary Add-on, select any file from insideextension folder from cloned project

1. Go tochrome://extensions/ in Chrome

2. Turn ONDeveloper mode

3. ClickLOAD UNPACKED and select theextension folder from cloned project

Check the Current task by clicking in your browser's url bar

Taken straight fromtfjs-converter MobileNet model is served from Google Cloud as 4MB chunks and is cacheable by browser.

The model takes 224x224 image, so Unsplash images are fetched in 224x224 size withcrop=face URL parameter.

After changing files incaptioner/mobilenet/, run

$ cd captioner$ rmdir dist; # OR rm -rf dist$ parcel build mobilenet/index.html

Parcel must be installed globally.

Copy all files exceptindex.html fromdist toextension directory. Copy the content ofdist/index.html and paste it inextension/popup.html title & subtitle. Remove old code pointing to old build after pasting.

On clicking the extension appears as a box of 300x600. Shows the link to current photo being processed. Once the labels assigned, shows top 3 labels with their Confidence score on the left.

Mars@Home says it's a public volunteer computing project committed to solving real life problems. Then why the first client labels images instead of"computing climate simulations"?

With this first version, we want to find out thatwould people participate in a modern volunteer computing project for real life problems? Keeping that in mind, we designed it so that, with other things, it has a small fun element to it. We wanted maximum people and developers to join the movement. Because the real development is yet to happen!

• Tensorflow.js
• TFJS Converter
• MobileNet Ported to Tensorflow.js

• Star this repository :)
• Do add your email at →https://marsathome.org if you believe in the effort!