Procedural 3D data generation pipeline for architecture in python

Synthetic Dataset Generator

This is a tool that generates a dataset of synthetic buildings of different typologies.

The generated data includes:

Mesh files of generated buildings, .obj format
Rendered images of the mesh, .png format
Rendered segmentation masks, .png format
Depth annotation, .png and .exr format
Surface normals annotation, .png format
Point cloud files, .ply format (the number of points by default is 2048, can be changed in dataset_config.py)

Install Blender>=2.90. After installation make sure to add blender as an Environment variable.
Download the package as a .zip file or:

git clone https://github.com/CDInstitute/CompoNET

*Navigate to the Building-Dataset-Generator folder.

pip install -r requirements.txt

To create completely synthetic buildings use:

run.bat

Or:

blender setup.blend --python dataset.py

Unfortunately, it is