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Fix: subset filter in DatasetBase implementation

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Summary: In D42739669, I forgot to update the API of existing implementations of DatasetBase to take `subset_filter`. Looks like only one was missing.

Reviewed By: bottler

Differential Revision: D46724488

fbshipit-source-id: 13ab7a457f853278cf06955aad0cc2bab5fbcce6
This commit is contained in:
Roman Shapovalov 2023-06-14 08:48:14 -07:00 committed by Facebook GitHub Bot
parent 5592d25f68
commit 3d886c32d5
1 changed files with 4 additions and 5 deletions
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9
pytorch3d/implicitron/dataset/single_sequence_dataset.py
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@ -9,7 +9,7 @@
# provide data for a single scene.
from dataclasses import field
from typing import Iterable, Iterator, List, Optional, Tuple
from typing import Iterable, Iterator, List, Optional, Sequence, Tuple
import numpy as np
import torch
@ -47,13 +47,12 @@ class SingleSceneDataset(DatasetBase, Configurable):
def __len__(self) -> int:
return len(self.poses)
# pyre-fixme[14]: `sequence_frames_in_order` overrides method defined in
# `DatasetBase` inconsistently.
def sequence_frames_in_order(
self, seq_name: str
self, seq_name: str, subset_filter: Optional[Sequence[str]] = None
) -> Iterator[Tuple[float, int, int]]:
for i in range(len(self)):
yield (0.0, i, i)
if subset_filter is None or self.frame_types[i] in subset_filter:
yield 0.0, i, i
def __getitem__(self, index) -> FrameData:
if index >= len(self):