Abstract: Object Layout Randomization (OLR) is a memory randomization approach that makes unpredictable in-object memory layout by shuffling and relocating each ...
Abstract: This paper addresses key aspects of domain randomization in generating synthetic data for manufacturing object detection applications. To this end, we present a comprehensive data generation ...
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assert samples["center_of_mass"][..., 0].min() >= -0.05 assert samples["center_of_mass"][..., 0].max() <= 0.05 assert torch.all(samples["center_of_mass"][..., 1] == 0 ...