Cut and paste your surroundings using AR

栏目: IT技术 · 发布时间: 4年前

内容简介:An AR+ML prototype that allows cutting elements from your surroundings and pasting them in an image editing software.Although only Photoshop is being handled currently, it may handle different outputs in the future.Demo & more infos:

AR Cut & Paste

An AR+ML prototype that allows cutting elements from your surroundings and pasting them in an image editing software.

Although only Photoshop is being handled currently, it may handle different outputs in the future.

Demo & more infos: Thread

:warning: This is a research prototype and not a consumer / photoshop user tool.

Modules

This prototype runs as 3 independent modules:

  • The mobile app

    • Check out the /app folder for instructions on how to deploy the app to your mobile.
  • The local server

    • The interface between the mobile app and Photoshop.
    • It finds the position pointed on screen by the camera using screenpoint
    • Check out the /server folder for instructions on configuring the local server
  • The object detection / background removal service

    • For now, the salience detection and background removal are delegated to an external service
    • It would be a lot simpler to use something like DeepLap directly within the mobile app. But that hasn't been implemented in this repo yet.

Usage

1 - Configure Photoshop

  • Go to "Preferences > Plug-ins", enable "Remote Connection" and set a friendly password that you'll need later.

2 - Setup the external salience object detection service

  • As mentioned above, for the time being, you must deploy the BASNet model (Qin & al, CVPR 2019) as an external HTTP service using this BASNet-HTTP wrapper (requires a CUDA GPU)

  • You will need the deployed service URL to configure the local server

3 - Configure and run the local server

  • Follow the instructions in /server to setup & run the local server.

4 - Configure and run the mobile app

  • Follow the instructions in /app to setup & deploy the mobile app.

Thanks and Acknowledgements


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