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Satellite labelling tool for manual labelling of storm top features such as overshooting tops, above-anvil plumes, cold U/Vs, rings etc.

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CHMI-satellite-department/satellite-labelling-tool

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Satellite labelling tool

About this app

A tool for manual labelling of storm top features such as overshooting tops, above-anvil plumes, cold U/Vs, rings etc.

How to run this app locally

(The following instructions are for unix-like shells)

Using pip

Install the package from its git repository using pip install and run slt for production version or slt --develop for develop version.

Port of the application (8050 by default) can be changed with -p switch

Using docker

After manually building docker image from the included Dockerfile run

docker run -p 8050:8050 satellite-labelling-tool-dev:latest

Using git clone

Clone this repository and navigate to the directory containing this README in a terminal.

Create and activate a virtual environment (recommended):

python3 -m venv myvenv
source myvenv/bin/activate

Install the requirements

pip install -r requirements.txt

Run the app. An IP address where you can view the app in your browser will be displayed in the terminal.

python slt/app.py

Options

Path prefix

When routing traffic to the app through reverse proxy such as nging or traefic, you will need to pass the routing prefix to the application. This may be done by setting environment variable SLT_PREFIX, e.g. SLT_PREFIX=/slt/ or by --prefix argument of the run script

slt --prefix /slt/

Using your own image data

You need to specify the path to your image data and also the path to at least one georeferenced image such as tiff. This may be done by setting both paths --path and --georef argument of the run script

slt --path "path to your image data directory" --georef "path to your gereferenced image"

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Screenshot of app

About

Satellite labelling tool for manual labelling of storm top features such as overshooting tops, above-anvil plumes, cold U/Vs, rings etc.

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