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20 changes: 20 additions & 0 deletions .github/workflows/first-interaction.yml
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name: First Issue Greetings

on:
issues:
types:
- opened
# on: [pull_request_target, issues]

jobs:
greeting:
runs-on: ubuntu-latest
permissions:
issues: write
# pull-requests: write
steps:
- uses: actions/first-interaction@v1
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
issue-message: "Thanks for submitting! Gentle reminder to follow the [guideline](https://fire2a.github.io/docs/docs/qgis-cookbook/README.html#getting-help-) to getting help"
# pr-message: "Message that will be displayed on users' first pull request"
36 changes: 36 additions & 0 deletions .github/workflows/release.yml
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name: Create Release

on:
push:
tags:
- 'v[0-9]+.[0-9]+.[0-9]+'
- 'v[0-9]+.[0-9]+.[0-9]+-beta[0-9]'

jobs:
build-n-publish:
runs-on: ubuntu-latest

permissions:
contents: write
id-token: write

steps:
- name: Checkout
uses: actions/checkout@master

- name: Version bump
run: |
VERSION=${GITHUB_REF_NAME#v}
echo "version is ${VERSION}"
sed -i -e "s/version=0.0.1/version=${VERSION}/" pan_batido/metadata.txt
git add firescarmapper/metadata.txt

lestash=`git stash create`
git archive --output "fire_scar_mapper_${{ github.ref_name }}.zip" $lestash firescarmapper

- name: Create Release
uses: ncipollo/release-action@v1.12.0
with:
artifacts: "fire_scar_mapper_${{ github.ref_name }}.zip"
token: ${{ secrets.GITHUB_TOKEN }}
draft: true
26 changes: 26 additions & 0 deletions README.md
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# Automatic burned area mapping approach using Deep Learning

## quickstart
### development
Tested on debian bookworm
```bash
# pytorch, venv, pip, qgis installed?
sudo apt install python3-torch python3-torchvision python3-venv python3-pip qgis qgis-grass

cd ~/source/fire
git clone git@github.com:fire2a/FireScar-Mapper-Plugin.git scar-mapper
cd scar-mapper

python3 -m venv .venv --system-site-packages
source .venv/bin/activate
pip install --upgrade pip setuptools wheel
# pip install -r requirements.txt
# pip install rasterio geopandas

# install is symlink
cd ~/.local/share/QGIS/QGIS3/profiles/default/python/plugins
ln -s ~/source/fire/scar-mapper/firescarmapper .

# run in .venv
qgis
```


#### Ian Wulff-Limongi, Jaime Carrasco, Cristobal Pais, Alejandro Miranda, Andres Weintraub, Carla Vairetti and Diego Terán
---
#### Project on automatic recognition of fire scars using LANDSAT's satellite imagery applying the U-Net model
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# Fire Scar Mapping
# documentation
hello world!
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