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arXiv:1911.01911cs.CV

BlenderProc

Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam

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Abstract

BlenderProc is a modular procedural pipeline, which helps in generating real looking images for the training of convolutional neural networks. These can be used in a variety of use cases including segmentation, depth, normal and pose estimation and many others. A key feature of our extension of blender is the simple to use modular pipeline, which was designed to be easily extendable. By offering standard modules, which cover a variety of scenarios, we provide a starting point on which new modules can be created.

arXiv comments
7 pages, 8 figures
Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition cs.GRGraphics cs.LGMachine Learning cs.RORobotics

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Feb 2022 to Feb 2022.

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Discussed in comments1 thread

  1. Watchtower – Blender Studio 1 comment

    • The wonderful thing is that since Blender is totally scriptable in Python, and Python is the lingua franca of machine learning, you can seamlessly and efficiently use Blender to do all kinds of cool things with machine learning and AI! Both creating ML-enhanced content creation…

      DonHopkinsView on HNParent context

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