The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ArrowInvalid
Message: Column 1 named masks expected length 3 but got length 1
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 83, in _generate_tables
pa_table = _recursive_load_arrays(h5, self.info.features, start, end)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 277, in _recursive_load_arrays
return pa.Table.from_pydict(batch_dict)
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
File "pyarrow/table.pxi", line 1980, in pyarrow.lib._Tabular.from_pydict
File "pyarrow/table.pxi", line 6350, in pyarrow.lib._from_pydict
return cls.from_arrays(arrays, names, metadata=metadata)
File "pyarrow/table.pxi", line 4885, in pyarrow.lib.Table.from_arrays
result.validate()
File "pyarrow/table.pxi", line 4237, in pyarrow.lib.Table.validate
check_status(self.table.Validate())
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 1 named masks expected length 3 but got length 1Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
REBlur
REBlur dataset is a real blur-sharp image datasets with corresponding events. it includes 12 kinds of linear and nonlinear motions for 3 different moving patterns and for the camera itself. The dataset consists of 36 sequences and 1469 groups of blurry-sharp image pairs with associated events, where 486 pairs are used for training and 983 for testing. We also include an additional set of 4 sequences including extreme blur, without ground truth.
Download
REBlur can be downloaded through the associated website.
Dataset Structure
The directory structure of REBlur is as follows:
REBlur/split/xxx.h5`
split'train', 'test', or 'addition'.
H5 file Structure
images/image{:09d}The blurry imagessharp_images/image{:09d}The ground truth sharp imagesvoxels/voxel{:09d}The events in the format of SCER (refer to the paper).
Citation
If you use REBlur in your work, please cite our publication.
@inproceedings{sun2022event,
author = {Sun, Lei and Sakaridis, Christos and Liang, Jingyun and Jiang, Qi and Yang, Kailun and Sun, Peng and Ye, Yaozu and Wang, Kaiwei and Van Gool, Luc},
title = {Event-Based Fusion for Motion Deblurring with Cross-modal Attention},
booktitle = {European Conference on Computer Vision (ECCV)},
year = 2022
}
License
REBlur dataset is released under CC BY 4.0 license.
Contact
Please feel free to contact us with any questions or comments:
Lei Sun, leo_sun [at] zju.edu.cn
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