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arXiv · 1911.01911

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.

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Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam. 2019-10-25. BlenderProc. https://arxiv.org/abs/1911.01911

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