buildseg is a Building Extraction plugin for QGIS based on PaddlePaddle.

Note: This repo will not be updated, and relevant work and maintenance updates are in deepbands/buildseg.

1. Download and install QGIS and clone the repo :

git clone git@github.com:geoyee/buildseg.git

2. Install requirements :

   • Enter the folder and install dependent libraries using OSGeo4W shell (Open As Administrator) :

   cd buildseg
   pip install -r requirements.txt

   • Or open OSGeo4W shell as administrator and enter :

   pip install opencv-python paddlepaddle>=2.2.0 paddleseg --user

3. Copy folder named buildseg in QGIS configuration folder and choose the plugin from plugin manager in QGIS (If not appeared restart QGIS).

   • You can know this folder from QGIS Setting Menu at the top-left of QGIS UI Settings > User Profiles > Open Active Profile Folder .
   • Go to python/plugins then paste the buildseg folder.
   • Full path should be like : C:\Users\$USER\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins\buildseg.

4. Open QGIS, load your raster and select the parameter file (*.pdiparams) then click ok.

• Train/Eval Dataset : Link.
• We have done all testing and development using : Tesla V100 32G in AI Studio.

• Extract building on 512x512 remote sensing images.
• Extract building on big remote sensing images through splitting it into small tiles, extract buildings then mosaic it back (merge) to a full extent.
• Replace the model and parameters (large-scale data).
• Convert to static weight (*.pdiparams) instead of dynamic model (*.pdparams).
• Add a Jupyter Notebook (*.ipynb) about how to fine-tune parameters using other's datasets based on PaddleSeg.
• Hole digging inside the polygons.
• Convert raster to Shapefile/GeoJson by GDAL/OGR (gdal.Polygonize) instead of findContours in OpenCV.
• Update plugin's UI :
  • Add menu to select one raster file from QGIS opened raster layers.
  • Select the Parameter path one time (some buggy windows appear when importing the *.pdiparams file).
  • Define the output path of the vector file (Direct Path or Temporary in the memory).
• Accelerate, etc.
• Add another model, like Vision Transform.