A procedural Blender pipeline for photorealistic training image generation. BlenderProc has to be run inside the blender python environment, as only there we can access the blender API. Therefore, instead of running your script with the usual python interpreter, the command line interface of BlenderProc has to be used. In general, one run of your script first loads or constructs a 3D scene, then sets some camera poses inside this scene and renders different types of images (RGB, distance, semantic segmentation, etc.) for each of those camera poses. Usually, you will run your script multiple times, each time producing a new scene and rendering e.g. 5-20 images from it. With a little more experience, it is also possible to change scenes during a single script call, read here how this is done. As blenderproc runs in blenders separate python environment, debugging your blenderproc script cannot be done in the same way as with any other python script.

Features

  • *.obj, *.ply, *.blend, *.fbx, BOP, ShapeNet, Haven, 3D-FRONT, etc.
  • Set or sample object poses, apply physics and collision checking
  • Set or sample physically-based materials and textures
  • Set or sample lights, automatic lighting of 3D-FRONT scenes
  • Set, sample or load camera poses from file
  • RGB, stereo, depth, normal and segmentation images/sequences
  • .hdf5 containers, COCO & BOP annotations

Project Samples

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License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Programming Language

Python

Related Categories

Python Synthetic Data Generation Software

Registered

2023-05-22