A python toolkit to create photorealistic image datasets for machine learning with Blender.
- Install Blender (tested with 2.90.1).
- Get the source code and install the dependencies using pipenv.
- Open
examples/cubes/cubes.blend
in Blender. - Go to the python script window and run the script.
- Go to the
examples/cubes/output
folder, a generated dataset JSON and images are placed there.