Dataset Viewer

Split (1)

train

The dataset viewer is not available for this split.

Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.

Error code:   FeaturesError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
                  yield from 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/csv/csv.py", line 196, in _generate_tables
                  csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1275, in xpandas_read_csv
                  out = pd.read_csv(f, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
                  return _read(filepath_or_buffer, kwds)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 620, in _read
                  parser = TextFileReader(filepath_or_buffer, **kwds)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
                  self._engine = self._make_engine(f, self.engine)
                                 ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
                  return mapping[engine](f, **self.options)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
                  self._reader = parsers.TextReader(src, **kwds)
                                 ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
                File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
                File "<frozen codecs>", line 325, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte

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.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

GIST Multi-Camera Dataset

Collect and Annotate 3D Multi-Camera Multi-Object Tracking Dataset

Prepare and print a checkerboard

1) Go to https://calib.io/
2) Pattern Generator (1) Target Type: Checkerboard, 
3) Board Width [mm]: 841, (3) Board Height [mm]: 1189, 
4) Rows: 6, (5) Columns: 4, Checker Width [mm]: 195
5) Download PDF
6) Print it two piceces of the PDF with A0 paper (841x1189 mm)
7) Glue them together precisely and tightly

Install Packages

sudo apt install ffmpeg
pip install numpy==1.23.5 pandas==1.5.1 opencv-python==4.10.0.84

Process

Videos are captured from Android devices using RecSync with some modifications.
- Adding TrueTime dependency 'com.github.instacart:truetime-android:3.4' to app/build.gradle. In MainActivity.java make sure to init TrueTime, trueTimeInitialized.await();
- CameraController.java, long synchronizedTimestampNs = TrueTime.now().getTime();. This change adapts one captured frame cooresponding to a timestamp obtained from TrueTime.
- SoftwareSyncController.java, leaderAddress = InetAddress.getByName("172.17.3.136"); change IP address of leader server.
- If all Android devices are not the same model, we need to move some statements out of if (isLeader) {})
```
exposureSeekBar.setVisibility(View.VISIBLE);
sensitivitySeekBar.setVisibility(View.VISIBLE);
exposureSeekBar.setOnSeekBarChangeListener(
```
  This setting allows us to ajust sensitivity and exposure of Android camera.
Videos are extracted using FFMPEG
Frames of each video are matched using timestamp obtained from TrueTime
calibration_syncvideos.py outputs calibration matrix from synchronized and extracted frames. Synchronized frames are saved in a folder name as ./GMC0715/S20.

Contact

Linh Ma (linh.mavan@gm.gist.ac.kr), Machine Learning & Vision Laboratory, GIST, South Korea

Citation

If you find this project useful in your research, please consider citing by:

@article{linh2024inffus,
      title={Track Initialization and Re-Identification for {3D} Multi-View Multi-Object Tracking}, 
      author={Linh Van Ma, Tran Thien Dat Nguyen, Ba-Ngu Vo, Hyunsung Jang, Moongu Jeon},
      journal={Information Fusion},
      volume = {111},
      year={2024},
      publisher={Elsevier}
}

license: mit

Downloads last month: 43

Total file size:

149 GB