# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
# pyre-unsafe
from typing import Dict, List
from pytorch3d.renderer.mesh import TexturesAtlas
from pytorch3d.structures import Meshes
[docs]
def collate_batched_meshes(batch: List[Dict]): # pragma: no cover
"""
Take a list of objects in the form of dictionaries and merge them
into a single dictionary. This function can be used with a Dataset
object to create a torch.utils.data.Dataloader which directly
returns Meshes objects.
TODO: Add support for textures.
Args:
batch: List of dictionaries containing information about objects
in the dataset.
Returns:
collated_dict: Dictionary of collated lists. If batch contains both
verts and faces, a collated mesh batch is also returned.
"""
if batch is None or len(batch) == 0:
return None
collated_dict = {}
for k in batch[0].keys():
collated_dict[k] = [d[k] for d in batch]
collated_dict["mesh"] = None
if {"verts", "faces"}.issubset(collated_dict.keys()):
textures = None
if "textures" in collated_dict:
textures = TexturesAtlas(atlas=collated_dict["textures"])
collated_dict["mesh"] = Meshes(
verts=collated_dict["verts"],
faces=collated_dict["faces"],
textures=textures,
)
return collated_dict