forked from nerfstudio-project/nerfstudio
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
fix instant-ngp while preserving robust for nerfacto
- Loading branch information
1 parent
6417164
commit a12faff
Showing
3 changed files
with
49 additions
and
7 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,44 @@ | ||
# Copyright 2022 The Nerfstudio Team. All rights reserved. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
|
||
from __future__ import annotations | ||
|
||
#from abc import abstractmethod | ||
from dataclasses import dataclass, field | ||
from typing import Any, Type | ||
|
||
from nerfstudio.cameras.cameras import CameraType | ||
from nerfstudio.data.datamanagers import base_datamanager | ||
from nerfstudio.data.datasets.base_dataset import InputDataset | ||
from nerfstudio.data.pixel_samplers import EquirectangularPixelSampler, PatchPixelSampler | ||
|
||
@dataclass | ||
class PatchDataManagerConfig(base_datamanager.VanillaDataManagerConfig): | ||
_target: Type = field(default_factory=lambda: PatchDataManager) | ||
"""Target class to instantiate.""" | ||
|
||
class PatchDataManager(base_datamanager.VanillaDataManager): # pylint: disable=abstract-method | ||
|
||
def _get_pixel_sampler( # pylint: disable=no-self-use | ||
self, dataset: InputDataset, *args: Any, **kwargs: Any | ||
) -> PixelSampler: | ||
"""Infer pixel sampler to use.""" | ||
# If all images are equirectangular, use equirectangular pixel sampler | ||
is_equirectangular = dataset.cameras.camera_type == CameraType.EQUIRECTANGULAR.value | ||
if is_equirectangular.all(): | ||
return EquirectangularPixelSampler(*args, **kwargs) | ||
# Otherwise, use the default pixel sampler | ||
if is_equirectangular.any(): | ||
CONSOLE.print("[bold yellow]Warning: Some cameras are equirectangular, but using default pixel sampler.") | ||
return PatchPixelSampler(*args, **kwargs,patch_size=16) |