Source code for pytorch3d.implicitron.dataset.blender_dataset_map_provider

# 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 import registry

from .load_blender import load_blender_data
from .single_sequence_dataset import (

[docs] @registry.register class BlenderDatasetMapProvider(SingleSceneDatasetMapProviderBase): """ Provides data for one scene from Blender synthetic dataset. Uses the code in 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