Source code for pytorch3d.datasets.utils

# 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 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