yangboz / visual-search

Create a visual search engine using tensorflow serving, elasticsearch, vuejs/react/angularJS and nginx.

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Visual Search with Tensorflow Serving, Elasticsearch, VueJS and Nginx

Demo Video on Youtube

Integrate Textual and Visual Search using Tensorflow Serving and Elasticsearch

This demo is created from visual-search-v2.0, which includes color filter, numeric filter and text search. We are going to update this git repo (visual-search-v1.0) soon.

One Step Setup

Create a visual search platform in one step:

# git clone git@github.com:gyang274/visual-search.git
git clone https://github.com/gyang274/visual-search.git

cd visual-search

docker-compose up

Open your favorite browser with http://127.0.0.1/#/, try some URL and local file with visual search, e.g., https://www.potterybarn.com/pbimgs/ab/images/dp/wcm/201824/0483/trieste-dining-chair-o.jpg

The docker image contains 1080 furniture images by default. You can add your own images using the Manage page, or using the scripts provided by this repository.

TODO

  • How to add images using the Manage page.

  • How to add images in bulk using docker cp and python scripts.

  • collecting differ mapping json files and UI select options in frontend to trigger differ mapping function in backend.

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Create a visual search engine using tensorflow serving, elasticsearch, vuejs/react/angularJS and nginx.


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