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ebac66daeb
Summary: Defines a function to run marching cubes algorithm on a single or batch of 3D scalar fields. Returns a mesh's faces and vertices. UPDATES (12/18) - Input data is now specified as a (B, D, H, W) tensor as opposed to a (B, W, H, D) tensor. This will now be compatible with the Volumes datastructure. - Add an option to return output vertices in local coordinates instead of world coordinates. Also added a small fix to remove the dype for device in Transforms3D - if passing in a torch.device instead of str it causes a pyre error. Reviewed By: jcjohnson Differential Revision: D24599019 fbshipit-source-id: 90554a200319fed8736a12371cc349e7108aacd0
26 lines
642 B
Python
26 lines
642 B
Python
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
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from fvcore.common.benchmark import benchmark
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from test_marching_cubes import TestMarchingCubes
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def bm_marching_cubes() -> None:
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kwargs_list = [
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{"batch_size": 1, "V": 5},
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{"batch_size": 1, "V": 10},
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{"batch_size": 1, "V": 20},
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{"batch_size": 1, "V": 40},
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{"batch_size": 5, "V": 5},
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{"batch_size": 20, "V": 20},
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]
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benchmark(
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TestMarchingCubes.marching_cubes_with_init,
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"MARCHING_CUBES",
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kwargs_list,
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warmup_iters=1,
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)
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if __name__ == "__main__":
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bm_marching_cubes()
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