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Running
on
Zero
File size: 1,640 Bytes
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from typing import Any
from unik3d.datasets.sequence_dataset import SequenceDataset
class d4DOR(SequenceDataset):
min_depth = 0.01
max_depth = 10.0
depth_scale = 1000.0
default_fps = 10
test_split = "train.txt"
train_split = "train.txt"
sequences_file = "sequences.json"
hdf5_paths = ["4DOR.hdf5"]
def __init__(
self,
image_shape: tuple[int, int],
split_file: str,
test_mode: bool,
normalize: bool,
augmentations_db: dict[str, Any],
resize_method: str,
mini: float = 1.0,
num_frames: int = 1,
benchmark: bool = False,
decode_fields: list[str] = ["image", "depth"],
inplace_fields: list[str] = ["camera_params", "cam2w"],
**kwargs,
) -> None:
super().__init__(
image_shape=image_shape,
split_file=split_file,
test_mode=test_mode,
benchmark=benchmark,
normalize=normalize,
augmentations_db=augmentations_db,
resize_method=resize_method,
mini=mini,
num_frames=num_frames,
decode_fields=decode_fields,
inplace_fields=inplace_fields,
**kwargs,
)
def pre_pipeline(self, results):
results = super().pre_pipeline(results)
results["dense"] = [True] * self.num_frames * self.num_copies
results["synthetic"] = [False] * self.num_frames * self.num_copies
results["si"] = [False] * self.num_frames * self.num_copies
results["quality"] = [2] * self.num_frames * self.num_copies
return results
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