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Datasets:
bop-benchmark
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ipd

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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    BadZipFile
Message:      zipfiles that span multiple disks are not supported
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 164, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1729, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1686, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1071, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 593, in infer_module_for_data_files
                  split_modules = {
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 594, in <dictcomp>
                  split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 535, in infer_module_for_data_files_list
                  return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 563, in infer_module_for_data_files_list_in_archives
                  for f in xglob(extracted, recursive=True, download_config=download_config)[
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1012, in xglob
                  fs, *_ = url_to_fs(urlpath, **storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 395, in url_to_fs
                  fs = filesystem(protocol, **inkwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 293, in filesystem
                  return cls(**storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 80, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 62, in __init__
                  self.zip = zipfile.ZipFile(
                File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
                  self._RealGetContents()
                File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents
                  endrec = _EndRecData(fp)
                File "/usr/local/lib/python3.9/zipfile.py", line 286, in _EndRecData
                  return _EndRecData64(fpin, -sizeEndCentDir, endrec)
                File "/usr/local/lib/python3.9/zipfile.py", line 232, in _EndRecData64
                  raise BadZipFile("zipfiles that span multiple disks are not supported")
              zipfile.BadZipFile: zipfiles that span multiple disks are not supported

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Industrial Plenoptic Dataset (IPD)

To download the data and extract it into BOP format simply execute:

export SRC=https://huggingface.co/datasets/bop-benchmark/
wget $SRC/ipd/resolve/main/ipd_base.zip         # Base archive with camera parameters, etc.
wget $SRC/ipd/resolve/main/ipd_models.zip       # 3D object models.
wget $SRC/ipd/resolve/main/ipd_test_all.zip     # All test images part 1 
wget $SRC/ipd/resolve/main/ipd_test_all.z01     # All test  images part 2
wget $SRC/ipd/resolve/main/ipd_train_pbr.zip    # PBR training images

7z x ipd_base.zip             # Contains folder "ipd".
7z x ipd_models.zip -oipd     # Unpacks to "ipd".
7z x ipd_test_all.zip -oipd    # Unpacks to "ipd".
7z x ipd_test_all.zip -oipd   # Unpacks to "ipd".
7z x ipd_train_pbr.zip -oipd  # Unpacks to "ipd".

Dataset parameters

  • Objects: 10
  • Object models: Mesh models
  • Modalities: Three cameras are placed in each scene. Image, depth, angle of linear polarization (AOLP), and degree of linear polarization (DOLP) data are rendered for each camera.

Training PBR images splits

Scenes 000000–000004 contain objects 0, 8, 18, 19, 20.
Scenes 000005–000009 contain objects 1, 4, 10, 11, 14.

Dataset format

General information about the dataset format can be found in: https://github.com/thodan/bop_toolkit/blob/master/docs/bop_datasets_format.md

References

[1] Agastya Kalra, Guy Stoppi, Dmitrii Marin, Vage Taamazyan, Aarrushi Shandilya, Rishav Agarwal, Anton Boykov, Tze Hao Chong, Michael Stark; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 22691-22701

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