# 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
import torch
from pytorch3d.implicitron.tools.config import registry
from .load_blender import load_blender_data
from .single_sequence_dataset import (
_interpret_blender_cameras,
SingleSceneDatasetMapProviderBase,
)
[docs]
@registry.register
class BlenderDatasetMapProvider(SingleSceneDatasetMapProviderBase):
"""
Provides data for one scene from Blender synthetic dataset.
Uses the code in load_blender.py
Members:
base_dir: directory holding the data for the scene.
object_name: The name of the scene (e.g. "lego"). This is just used as a label.
It will typically be equal to the name of the directory self.base_dir.
path_manager_factory: Creates path manager which may be used for
interpreting paths.
n_known_frames_for_test: If set, training frames are included in the val
and test datasets, and this many random training frames are added to
each test batch. If not set, test batches each contain just a single
testing frame.
"""
def _load_data(self) -> None:
path_manager = self.path_manager_factory.get()
images, poses, _, hwf, i_split = load_blender_data(
self.base_dir,
testskip=1,
path_manager=path_manager,
)
H, W, focal = hwf
images_masks = torch.from_numpy(images).permute(0, 3, 1, 2)
# pyre-ignore[16]
self.poses = _interpret_blender_cameras(poses, focal)
# pyre-ignore[16]
self.images = images_masks[:, :3]
# pyre-ignore[16]
self.fg_probabilities = images_masks[:, 3:4]
# pyre-ignore[16]
self.i_split = i_split