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gokulbnr
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QCR-Fast-Slow-Event-Dataset

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    KeyError
Message:      '0.png'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1750, in _prepare_split_single
                  for key, record in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 688, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 115, in _generate_examples
                  example[field_name] = {"path": example["__key__"] + "." + field_name, "bytes": example[field_name]}
              KeyError: '0.png'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1391, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 990, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1629, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1786, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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__key__ string	__url__ string	0.png image
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ablation_study_components/fast/1/aps/frames/ab_h_qry/1710350209629755	hf://datasets/gokulbnr/QCR-Fast-Slow-Event-Dataset@611f4f002d396bb60a5a33fa58e3cddc75272c7d/ablation_study_components.tar.gz
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Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras

Welcome to the official QCR-Fast-Slow-Event-Dataset dataset repository attached to the paper Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras, to be presented at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). This work introduces feedback control algorithms that dynamically change bias parameters for event-cameras to stabilize event-rate in an online manner. The work reports improvements in visual place recognition performances across variations in environment brightness conditions, validated through comprehensive real-time evaluations using a new QCR-Fast-and-Slow-Event-Dataset.

File Structure

QCR-Fast-Slow-Event-Dataset
├── ablation_study_components.tar.gz
├── ablation_study_slow_changes_freq.tar.gz
├── grid_search
│   ├── aedats
│   │   ├── +0+0+0_h_qry.aedat.tar.gz
│   │   ├── ...
│   │   ├── ... (Raw AEDAT2.0's from 108 traversals)
│   │   ├── ...
│   │   └── -2-2-2_l_ref.aedat.tar.gz
│   └── bags.tar.gz
├── main_experiments
│   ├── default_params.tar.gz
│   ├── Fast_Slow.tar.gz
│   ├── PxBw.tar.gz
│   ├── PxTh.tar.gz
│   └── RfPr.tar.gz
└── README.md

More information on how to use the dataset can be found in the official codebase repository on GitHub.

Cite us at

Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras

@inproceedings{nair2024enhancing,
  title={Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras},
  author={Nair, Gokul B and Milford, Michael and Fischer, Tobias},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2024}
}

License

This dataset is licensed under the MIT License.

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