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055ab3a2e3
Summary:
Converts the directory specified to use the Ruff formatter in pyfmt
ruff_dog
If this diff causes merge conflicts when rebasing, please run
`hg status -n -0 --change . -I '**/*.{py,pyi}' | xargs -0 arc pyfmt`
on your diff, and amend any changes before rebasing onto latest.
That should help reduce or eliminate any merge conflicts.
allow-large-files
Reviewed By: bottler
Differential Revision: D66472063
fbshipit-source-id: 35841cb397e4f8e066e2159550d2f56b403b1bef
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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# pyre-unsafe
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from typing import Dict, List
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from pytorch3d.renderer.mesh import TexturesAtlas
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from pytorch3d.structures import Meshes
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def collate_batched_meshes(batch: List[Dict]): # pragma: no cover
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"""
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Take a list of objects in the form of dictionaries and merge them
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into a single dictionary. This function can be used with a Dataset
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object to create a torch.utils.data.Dataloader which directly
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returns Meshes objects.
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TODO: Add support for textures.
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Args:
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batch: List of dictionaries containing information about objects
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in the dataset.
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Returns:
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collated_dict: Dictionary of collated lists. If batch contains both
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verts and faces, a collated mesh batch is also returned.
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"""
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if batch is None or len(batch) == 0:
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return None
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collated_dict = {}
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for k in batch[0].keys():
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collated_dict[k] = [d[k] for d in batch]
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collated_dict["mesh"] = None
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if {"verts", "faces"}.issubset(collated_dict.keys()):
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textures = None
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if "textures" in collated_dict:
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textures = TexturesAtlas(atlas=collated_dict["textures"])
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collated_dict["mesh"] = Meshes(
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verts=collated_dict["verts"],
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faces=collated_dict["faces"],
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textures=textures,
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)
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return collated_dict
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