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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'ate_max_t', 'n_matched', 'ate_max_m', 'ate_rmse_m'}) and 13 missing columns ({'largest_error_change_kf_id', 'n_kf', 'kf_err_max_before_m', 'kf_err_max_before_kf_id', 'largest_error_change_m', 'kf_ate_rmse_after_m', 'verdict', 'kf_err_max_after_m', 'event_type', 'kf_ate_rmse_before_m', 'timestamp', 'event_id', 'kf_err_max_after_kf_id'}).
This happened while the csv dataset builder was generating data using
hf://datasets/deansmile123/Agentic_SLAM/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/run_ate.csv (at revision 033b43d049f236a241cdba1d7242b7131b8e769d), ['hf://datasets/deansmile123/Agentic_SLAM@033b43d049f236a241cdba1d7242b7131b8e769d/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/event_error_vs_gt.csv', 'hf://datasets/deansmile123/Agentic_SLAM@033b43d049f236a241cdba1d7242b7131b8e769d/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/event_error_vs_gt__r020_r005_r010_all_events.csv', 'hf://datasets/deansmile123/Agentic_SLAM@033b43d049f236a241cdba1d7242b7131b8e769d/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/event_error_vs_gt__t024.csv', 'hf://datasets/deansmile123/Agentic_SLAM@033b43d049f236a241cdba1d7242b7131b8e769d/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/run_ate.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
run_id: string
ate_rmse_m: double
ate_max_m: double
ate_max_t: double
n_matched: int64
note: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 973
to
{'run_id': Value('string'), 'event_id': Value('int64'), 'event_type': Value('string'), 'timestamp': Value('float64'), 'n_kf': Value('int64'), 'kf_ate_rmse_before_m': Value('float64'), 'kf_ate_rmse_after_m': Value('float64'), 'kf_err_max_before_m': Value('float64'), 'kf_err_max_after_m': Value('float64'), 'kf_err_max_before_kf_id': Value('int64'), 'kf_err_max_after_kf_id': Value('int64'), 'largest_error_change_m': Value('float64'), 'largest_error_change_kf_id': Value('int64'), 'verdict': Value('string'), 'note': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'ate_max_t', 'n_matched', 'ate_max_m', 'ate_rmse_m'}) and 13 missing columns ({'largest_error_change_kf_id', 'n_kf', 'kf_err_max_before_m', 'kf_err_max_before_kf_id', 'largest_error_change_m', 'kf_ate_rmse_after_m', 'verdict', 'kf_err_max_after_m', 'event_type', 'kf_ate_rmse_before_m', 'timestamp', 'event_id', 'kf_err_max_after_kf_id'}).
This happened while the csv dataset builder was generating data using
hf://datasets/deansmile123/Agentic_SLAM/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/run_ate.csv (at revision 033b43d049f236a241cdba1d7242b7131b8e769d), ['hf://datasets/deansmile123/Agentic_SLAM@033b43d049f236a241cdba1d7242b7131b8e769d/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/event_error_vs_gt.csv', 'hf://datasets/deansmile123/Agentic_SLAM@033b43d049f236a241cdba1d7242b7131b8e769d/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/event_error_vs_gt__r020_r005_r010_all_events.csv', 'hf://datasets/deansmile123/Agentic_SLAM@033b43d049f236a241cdba1d7242b7131b8e769d/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/event_error_vs_gt__t024.csv', 'hf://datasets/deansmile123/Agentic_SLAM@033b43d049f236a241cdba1d7242b7131b8e769d/Stage_B1/source_captures/V2_03_difficult/config_119/eval_only/run_ate.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
run_id string | event_id int64 | event_type string | timestamp float64 | n_kf int64 | kf_ate_rmse_before_m float64 | kf_ate_rmse_after_m float64 | kf_err_max_before_m float64 | kf_err_max_after_m float64 | kf_err_max_before_kf_id int64 | kf_err_max_after_kf_id int64 | largest_error_change_m float64 | largest_error_change_kf_id int64 | verdict string | note string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a001 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0433 | 0.0277 | 0.0805 | 0.0472 | 10 | 0 | -0.0533 | 10 | improved | EVALUATION ONLY (ground truth) |
a005 | 13 | local_inertial_ba | 1,413,394,996.905761 | 236 | 0.0407 | 0.0437 | 0.2464 | 0.3302 | 1,039 | 1,039 | 0.0838 | 1,039 | similar | EVALUATION ONLY (ground truth) |
a005 | 14 | local_inertial_ba | 1,413,394,997.405761 | 237 | 0.0553 | 0.06 | 0.5183 | 0.5944 | 1,040 | 1,040 | 0.0761 | 1,040 | similar | EVALUATION ONLY (ground truth) |
a005 | 15 | local_inertial_ba | 1,413,394,997.905761 | 238 | 0.06 | 0.0655 | 0.5944 | 0.6737 | 1,040 | 1,040 | 0.0793 | 1,040 | similar | EVALUATION ONLY (ground truth) |
a006 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0473 | 0.0277 | 0.0952 | 0.0489 | 10 | 0 | -0.0683 | 10 | improved | EVALUATION ONLY (ground truth) |
a006 | 7 | local_inertial_ba | 1,413,394,996.805761 | 219 | 0.0455 | 0.0499 | 0.1826 | 0.297 | 1,008 | 1,008 | 0.1144 | 1,008 | similar | EVALUATION ONLY (ground truth) |
a006 | 8 | local_inertial_ba | 1,413,394,997.305761 | 220 | 0.0581 | 0.0643 | 0.4417 | 0.5448 | 1,009 | 1,009 | 0.1031 | 1,009 | similar | EVALUATION ONLY (ground truth) |
a006 | 9 | local_inertial_ba | 1,413,394,997.805761 | 221 | 0.0643 | 0.0711 | 0.5448 | 0.6387 | 1,009 | 1,009 | 0.0939 | 1,009 | similar | EVALUATION ONLY (ground truth) |
a006 | 10 | local_inertial_ba | 1,413,394,998.305761 | 222 | 0.0711 | 0.0773 | 0.6387 | 0.7226 | 1,009 | 1,009 | 0.0838 | 1,009 | similar | EVALUATION ONLY (ground truth) |
a010 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0465 | 0.0282 | 0.0879 | 0.0496 | 10 | 0 | -0.0594 | 10 | improved | EVALUATION ONLY (ground truth) |
a011 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0844 | 0.02 | 0.1901 | 0.032 | 10 | 0 | -0.1707 | 10 | improved | EVALUATION ONLY (ground truth) |
a012 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.074 | 0.0188 | 0.1623 | 0.0322 | 10 | 0 | -0.1488 | 10 | improved | EVALUATION ONLY (ground truth) |
a013 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0665 | 0.0185 | 0.1436 | 0.0329 | 10 | 0 | -0.1333 | 10 | improved | EVALUATION ONLY (ground truth) |
a014 | 8 | local_inertial_ba | 1,413,394,956.85576 | 218 | 0.052 | 0.0506 | 0.1012 | 0.095 | 57 | 57 | -0.042 | 640 | similar | EVALUATION ONLY (ground truth) |
a017 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0353 | 0.0259 | 0.0607 | 0.0425 | 8 | 0 | -0.0325 | 8 | improved | EVALUATION ONLY (ground truth) |
a017 | 8 | local_inertial_ba | 1,413,394,957.75576 | 222 | 0.0322 | 0.0388 | 0.0744 | 0.1259 | 56 | 687 | 0.0939 | 685 | similar | EVALUATION ONLY (ground truth) |
a017 | 9 | local_inertial_ba | 1,413,394,957.805761 | 223 | 0.0396 | 0.0324 | 0.1259 | 0.0748 | 688 | 56 | -0.0872 | 688 | similar | EVALUATION ONLY (ground truth) |
a022 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0841 | 0.0195 | 0.1894 | 0.032 | 10 | 0 | -0.1719 | 10 | improved | EVALUATION ONLY (ground truth) |
a023 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0484 | 0.0292 | 0.0907 | 0.0511 | 10 | 0 | -0.0626 | 10 | improved | EVALUATION ONLY (ground truth) |
a024 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0445 | 0.0307 | 0.0835 | 0.052 | 10 | 0 | -0.0511 | 10 | improved | EVALUATION ONLY (ground truth) |
a025 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0727 | 0.0173 | 0.1635 | 0.0274 | 10 | 0 | -0.1448 | 10 | improved | EVALUATION ONLY (ground truth) |
a026 | 14 | local_inertial_ba | 1,413,394,960.15576 | 213 | 0.1513 | 0.0825 | 0.4667 | 0.1911 | 692 | 628 | -0.4091 | 698 | improved | EVALUATION ONLY (ground truth) |
a028 | 10 | local_inertial_ba | 1,413,394,960.50576 | 219 | 0.0514 | 0.0425 | 0.1019 | 0.0731 | 654 | 80 | -0.0794 | 661 | similar | EVALUATION ONLY (ground truth) |
a030 | 11 | local_inertial_ba | 1,413,394,959.805761 | 218 | 0.1286 | 0.0574 | 0.4484 | 0.114 | 704 | 619 | -0.3949 | 704 | improved | EVALUATION ONLY (ground truth) |
a035 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0616 | 0.0198 | 0.1313 | 0.0371 | 10 | 0 | -0.1214 | 10 | improved | EVALUATION ONLY (ground truth) |
a035 | 1 | local_inertial_ba | 1,413,394,996.405761 | 228 | 0.0202 | 0.0222 | 0.0767 | 0.1435 | 1,031 | 1,031 | 0.0667 | 1,031 | similar | EVALUATION ONLY (ground truth) |
a035 | 2 | local_inertial_ba | 1,413,394,996.905761 | 229 | 0.0285 | 0.0344 | 0.2688 | 0.3568 | 1,032 | 1,032 | 0.088 | 1,032 | similar | EVALUATION ONLY (ground truth) |
a035 | 3 | local_inertial_ba | 1,413,394,997.405761 | 230 | 0.0507 | 0.059 | 0.5603 | 0.6614 | 1,033 | 1,033 | 0.1011 | 1,033 | similar | EVALUATION ONLY (ground truth) |
a035 | 4 | local_inertial_ba | 1,413,394,997.905761 | 231 | 0.059 | 0.0639 | 0.6614 | 0.7139 | 1,033 | 1,033 | 0.0524 | 1,033 | similar | EVALUATION ONLY (ground truth) |
a041 | 20 | local_inertial_ba | 1,413,394,996.905761 | 224 | 0.0314 | 0.0335 | 0.234 | 0.2736 | 1,042 | 1,042 | 0.0396 | 1,042 | similar | EVALUATION ONLY (ground truth) |
a041 | 21 | local_inertial_ba | 1,413,394,997.405761 | 225 | 0.0452 | 0.0508 | 0.4538 | 0.5285 | 1,043 | 1,043 | 0.0748 | 1,043 | similar | EVALUATION ONLY (ground truth) |
a041 | 22 | local_inertial_ba | 1,413,394,997.905761 | 226 | 0.0508 | 0.0769 | 0.5285 | 0.8296 | 1,043 | 1,043 | 0.3011 | 1,043 | worsened | EVALUATION ONLY (ground truth) |
a042 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0535 | 0.0285 | 0.1113 | 0.051 | 10 | 0 | -0.0868 | 10 | improved | EVALUATION ONLY (ground truth) |
a043 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0602 | 0.0184 | 0.1277 | 0.0329 | 10 | 0 | -0.1182 | 10 | improved | EVALUATION ONLY (ground truth) |
a044 | 0 | local_inertial_ba | 1,413,394,996.405761 | 228 | 0.0195 | 0.022 | 0.0625 | 0.1483 | 1,012 | 1,012 | 0.0858 | 1,012 | similar | EVALUATION ONLY (ground truth) |
a044 | 1 | local_inertial_ba | 1,413,394,996.905761 | 228 | 0.029 | 0.0359 | 0.2847 | 0.3843 | 1,013 | 1,013 | 0.0996 | 1,013 | similar | EVALUATION ONLY (ground truth) |
a044 | 2 | local_inertial_ba | 1,413,394,997.905761 | 229 | 0.0553 | 0.0675 | 0.6097 | 0.7597 | 1,014 | 1,014 | 0.15 | 1,014 | similar | EVALUATION ONLY (ground truth) |
a045 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0521 | 0.0291 | 0.1055 | 0.0504 | 10 | 0 | -0.0774 | 10 | improved | EVALUATION ONLY (ground truth) |
a045 | 5 | local_inertial_ba | 1,413,394,958.85576 | 221 | 0.3323 | 0.3487 | 0.4896 | 0.5081 | 320 | 320 | 0.2537 | 642 | similar | EVALUATION ONLY (ground truth) |
a045 | 6 | local_inertial_ba | 1,413,394,988.905761 | 280 | 0.3202 | 0.3188 | 0.548 | 0.5464 | 496 | 496 | -0.0781 | 987 | similar | EVALUATION ONLY (ground truth) |
a046 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0587 | 0.0206 | 0.1211 | 0.0368 | 10 | 0 | -0.1112 | 10 | improved | EVALUATION ONLY (ground truth) |
a049 | 11 | local_inertial_ba | 1,413,394,959.65576 | 213 | 0.1798 | 0.0839 | 0.5641 | 0.1565 | 697 | 623 | -0.4832 | 697 | improved | EVALUATION ONLY (ground truth) |
a053 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0596 | 0.0194 | 0.1262 | 0.0353 | 10 | 0 | -0.1177 | 10 | improved | EVALUATION ONLY (ground truth) |
a053 | 12 | local_inertial_ba | 1,413,394,959.55576 | 217 | 0.0592 | 0.0465 | 0.1366 | 0.093 | 683 | 0 | -0.1249 | 675 | improved | EVALUATION ONLY (ground truth) |
a054 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0633 | 0.0272 | 0.1337 | 0.0484 | 10 | 0 | -0.1116 | 10 | improved | EVALUATION ONLY (ground truth) |
a056 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.0556 | 0.029 | 0.1143 | 0.0517 | 10 | 0 | -0.0879 | 10 | improved | EVALUATION ONLY (ground truth) |
a056 | 11 | local_inertial_ba | 1,413,394,945.905761 | 161 | 0.0448 | 0.0584 | 0.085 | 0.1555 | 67 | 565 | 0.1186 | 565 | worsened | EVALUATION ONLY (ground truth) |
a056 | 12 | local_inertial_ba | 1,413,394,946.00576 | 160 | 0.0596 | 0.0465 | 0.1537 | 0.0859 | 565 | 67 | -0.1034 | 566 | improved | EVALUATION ONLY (ground truth) |
a057 | 0 | local_inertial_ba | 1,413,394,889.50576 | 11 | 0.052 | 0.0277 | 0.1062 | 0.0492 | 10 | 0 | -0.08 | 10 | improved | EVALUATION ONLY (ground truth) |
a057 | 22 | local_inertial_ba | 1,413,394,960.20576 | 216 | 0.0498 | 0.0438 | 0.0846 | 0.0828 | 0 | 0 | -0.0621 | 661 | similar | EVALUATION ONLY (ground truth) |
b001 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.034 | 0.0289 | 0.0647 | 0.0512 | 9 | 9 | -0.0135 | 9 | similar | EVALUATION ONLY (ground truth) |
b001 | 1 | imu_init | 1,413,394,893.05576 | 22 | 0.0286 | 0.0286 | 0.0524 | 0.0523 | 0 | 0 | -0.0001 | 2 | similar | EVALUATION ONLY (ground truth) |
b001 | 2 | imu_init | 1,413,394,903.35576 | 51 | 0.0453 | 0.019 | 0.0967 | 0.0401 | 0 | 0 | -0.0566 | 0 | improved | EVALUATION ONLY (ground truth) |
b002 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.048 | 0.0461 | 0.1017 | 0.098 | 9 | 9 | -0.012 | 8 | similar | EVALUATION ONLY (ground truth) |
b002 | 1 | imu_init | 1,413,394,892.905761 | 22 | 0.0266 | 0.0266 | 0.0643 | 0.0643 | 0 | 0 | -0.0002 | 7 | similar | EVALUATION ONLY (ground truth) |
b002 | 2 | imu_init | 1,413,394,903.15576 | 48 | 0.0346 | 0.0227 | 0.0973 | 0.0482 | 0 | 0 | -0.0491 | 0 | improved | EVALUATION ONLY (ground truth) |
b003 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0439 | 0.042 | 0.0935 | 0.0898 | 9 | 9 | -0.0116 | 8 | similar | EVALUATION ONLY (ground truth) |
b003 | 1 | imu_init | 1,413,394,893.05576 | 22 | 0.0278 | 0.0278 | 0.0653 | 0.0654 | 0 | 0 | -0.0001 | 7 | similar | EVALUATION ONLY (ground truth) |
b003 | 2 | imu_init | 1,413,394,903.15576 | 50 | 0.0275 | 0.0203 | 0.0813 | 0.0404 | 0 | 0 | -0.0409 | 0 | improved | EVALUATION ONLY (ground truth) |
b004 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0357 | 0.0256 | 0.0621 | 0.0442 | 9 | 9 | -0.0179 | 9 | improved | EVALUATION ONLY (ground truth) |
b004 | 1 | imu_init | 1,413,394,892.905761 | 21 | 0.0245 | 0.0196 | 0.0464 | 0.035 | 0 | 0 | -0.0114 | 0 | similar | EVALUATION ONLY (ground truth) |
b004 | 2 | imu_init | 1,413,394,903.25576 | 51 | 0.033 | 0.0198 | 0.0648 | 0.0402 | 0 | 0 | -0.0281 | 97 | improved | EVALUATION ONLY (ground truth) |
b005 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0357 | 0.025 | 0.0632 | 0.0435 | 9 | 9 | -0.0197 | 9 | improved | EVALUATION ONLY (ground truth) |
b005 | 1 | imu_init | 1,413,394,892.905761 | 22 | 0.0241 | 0.0235 | 0.0447 | 0.044 | 0 | 0 | -0.0024 | 2 | similar | EVALUATION ONLY (ground truth) |
b005 | 2 | imu_init | 1,413,394,903.05576 | 50 | 0.0364 | 0.0209 | 0.08 | 0.0427 | 0 | 0 | -0.0387 | 133 | improved | EVALUATION ONLY (ground truth) |
b006 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0395 | 0.0335 | 0.0865 | 0.0612 | 9 | 9 | -0.0253 | 9 | similar | EVALUATION ONLY (ground truth) |
b006 | 1 | imu_init | 1,413,394,893.05576 | 22 | 0.0318 | 0.0318 | 0.0566 | 0.0566 | 58 | 58 | 0.0001 | 1 | similar | EVALUATION ONLY (ground truth) |
b006 | 2 | imu_init | 1,413,394,903.25576 | 51 | 0.0486 | 0.0219 | 0.1002 | 0.0416 | 0 | 0 | -0.0586 | 0 | improved | EVALUATION ONLY (ground truth) |
b007 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0427 | 0.0408 | 0.0843 | 0.0809 | 9 | 9 | -0.0111 | 8 | similar | EVALUATION ONLY (ground truth) |
b007 | 1 | imu_init | 1,413,394,893.05576 | 23 | 0.0272 | 0.0263 | 0.0622 | 0.0592 | 0 | 0 | -0.0048 | 1 | similar | EVALUATION ONLY (ground truth) |
b007 | 2 | imu_init | 1,413,394,903.25576 | 51 | 0.036 | 0.0228 | 0.0908 | 0.0417 | 0 | 0 | -0.0491 | 0 | improved | EVALUATION ONLY (ground truth) |
b008 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.043 | 0.039 | 0.0975 | 0.0727 | 9 | 9 | -0.0248 | 9 | similar | EVALUATION ONLY (ground truth) |
b008 | 1 | imu_init | 1,413,394,896.00576 | 28 | 0.0451 | 0.0446 | 0.0952 | 0.0945 | 0 | 0 | -0.0011 | 5 | similar | EVALUATION ONLY (ground truth) |
b008 | 2 | imu_init | 1,413,394,906.805761 | 50 | 0.0516 | 0.0199 | 0.1073 | 0.04 | 0 | 0 | -0.0673 | 0 | improved | EVALUATION ONLY (ground truth) |
b009 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.056 | 0.056 | 0.1338 | 0.1338 | 9 | 9 | 0.0002 | 7 | similar | EVALUATION ONLY (ground truth) |
b009 | 1 | imu_init | 1,413,394,892.905761 | 22 | 0.0225 | 0.0209 | 0.058 | 0.0526 | 0 | 0 | -0.01 | 1 | similar | EVALUATION ONLY (ground truth) |
b009 | 2 | imu_init | 1,413,394,903.25576 | 50 | 0.0716 | 0.0195 | 0.1465 | 0.0351 | 0 | 0 | -0.112 | 3 | improved | EVALUATION ONLY (ground truth) |
b010 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0342 | 0.0388 | 0.0666 | 0.0743 | 9 | 9 | 0.0104 | 0 | similar | EVALUATION ONLY (ground truth) |
b010 | 1 | imu_init | 1,413,394,893.20576 | 22 | 0.0308 | 0.0301 | 0.06 | 0.0601 | 0 | 0 | -0.0036 | 2 | similar | EVALUATION ONLY (ground truth) |
b010 | 2 | imu_init | 1,413,394,903.45576 | 52 | 0.0527 | 0.0257 | 0.1032 | 0.0505 | 0 | 0 | -0.0587 | 141 | improved | EVALUATION ONLY (ground truth) |
b011 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0382 | 0.032 | 0.0838 | 0.0579 | 9 | 9 | -0.0259 | 9 | similar | EVALUATION ONLY (ground truth) |
b011 | 1 | imu_init | 1,413,394,893.05576 | 22 | 0.0264 | 0.0259 | 0.0478 | 0.0477 | 0 | 0 | -0.0023 | 2 | similar | EVALUATION ONLY (ground truth) |
b011 | 2 | imu_init | 1,413,394,903.15576 | 51 | 0.0464 | 0.0206 | 0.0952 | 0.0419 | 0 | 0 | -0.0543 | 136 | improved | EVALUATION ONLY (ground truth) |
b012 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0398 | 0.0343 | 0.0854 | 0.063 | 9 | 9 | -0.0224 | 9 | similar | EVALUATION ONLY (ground truth) |
b012 | 1 | imu_init | 1,413,394,893.305761 | 22 | 0.0248 | 0.0242 | 0.0485 | 0.0485 | 0 | 0 | -0.0024 | 2 | similar | EVALUATION ONLY (ground truth) |
b012 | 2 | imu_init | 1,413,394,903.55576 | 51 | 0.0475 | 0.0206 | 0.0972 | 0.0433 | 0 | 0 | -0.0577 | 134 | improved | EVALUATION ONLY (ground truth) |
b013 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0355 | 0.0343 | 0.0706 | 0.0624 | 9 | 9 | -0.0082 | 9 | similar | EVALUATION ONLY (ground truth) |
b013 | 1 | imu_init | 1,413,394,893.05576 | 22 | 0.0266 | 0.0266 | 0.0538 | 0.0537 | 0 | 0 | -0.0001 | 2 | similar | EVALUATION ONLY (ground truth) |
b013 | 2 | imu_init | 1,413,394,903.35576 | 51 | 0.0555 | 0.0193 | 0.1221 | 0.0406 | 0 | 0 | -0.0815 | 0 | improved | EVALUATION ONLY (ground truth) |
b014 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0407 | 0.0387 | 0.0792 | 0.0758 | 9 | 9 | -0.0113 | 8 | similar | EVALUATION ONLY (ground truth) |
b014 | 1 | imu_init | 1,413,394,892.905761 | 22 | 0.0253 | 0.0243 | 0.0587 | 0.0551 | 0 | 0 | -0.0049 | 1 | similar | EVALUATION ONLY (ground truth) |
b014 | 2 | imu_init | 1,413,394,903.15576 | 50 | 0.0363 | 0.0198 | 0.0933 | 0.0408 | 0 | 0 | -0.0526 | 0 | improved | EVALUATION ONLY (ground truth) |
b015 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0339 | 0.0244 | 0.0547 | 0.0382 | 8 | 0 | -0.0245 | 8 | improved | EVALUATION ONLY (ground truth) |
b015 | 1 | imu_init | 1,413,394,892.65576 | 21 | 0.0316 | 0.0316 | 0.0551 | 0.055 | 0 | 0 | -0.0001 | 2 | similar | EVALUATION ONLY (ground truth) |
b015 | 2 | imu_init | 1,413,394,902.75576 | 49 | 0.0313 | 0.0206 | 0.0721 | 0.0441 | 0 | 0 | -0.0297 | 3 | improved | EVALUATION ONLY (ground truth) |
b016 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0309 | 0.0227 | 0.0429 | 0.0374 | 9 | 9 | -0.0145 | 8 | improved | EVALUATION ONLY (ground truth) |
b016 | 1 | imu_init | 1,413,394,893.05576 | 22 | 0.0279 | 0.0274 | 0.0473 | 0.047 | 0 | 0 | -0.0018 | 2 | similar | EVALUATION ONLY (ground truth) |
b016 | 2 | imu_init | 1,413,394,903.25576 | 52 | 0.0296 | 0.0213 | 0.072 | 0.0479 | 0 | 0 | -0.0241 | 0 | improved | EVALUATION ONLY (ground truth) |
b017 | 0 | imu_init | 1,413,394,889.45576 | 10 | 0.0438 | 0.0419 | 0.09 | 0.0864 | 9 | 9 | -0.0119 | 8 | similar | EVALUATION ONLY (ground truth) |
b017 | 1 | imu_init | 1,413,394,893.05576 | 21 | 0.031 | 0.031 | 0.0642 | 0.0643 | 0 | 0 | -0.0001 | 7 | similar | EVALUATION ONLY (ground truth) |
End of preview.