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MS-Brazil

Front-end web application built to visualize deep learning output of suspended sediment estimates from image chips in Amazon region.

Basic NPM commands

To run app on local host in terminal type: npm start

To deploy:

  • npm run build
  • Right click on updated build folder at the top of the VS explorer.
  • Select Deploy app as a static web app via Azure Storage
  • Select AI for Earth Directory
  • Select fluviusapp
  • Select OK when prompted to delete present storage blobs

To save code to GitHub, can run the usual Git commands in local terminal.

Other Dependencies

  • Make sure you install the Azure Tools extension in VSCode! Otherwise the app will not run.
  • If you are deploying from a Linux OS, ensure that you have the libsecret-1-0 package installed in order for AZCopy to work properly underneath the hood.

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Front-end web application built to replace Ecoshed Flow Photo Explorer

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