The dataset viewer is not available for this 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 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 996, in dataset_module_factory
return HubDatasetModuleFactory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 638, 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 292, in infer_module_for_data_files
split_modules = {
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 293, 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 234, 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 262, 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 999, 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 supportedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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_val.zip # Validation images
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 part 1
wget $SRC/ipd/resolve/main/ipd_train_pbr.z01 # PBR training images part 2
wget $SRC/ipd/resolve/main/ipd_train_pbr.z02 # PBR training images part 3
wget $SRC/ipd/resolve/main/ipd_train_pbr.z03 # PBR training images part 4
7z x ipd_base.zip # Contains folder "ipd"
7z x ipd_models.zip -oipd # Unpacks to "ipd"
7z x ipd_val.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"
If you downloaded the ipd_train_pbr files before March 20, please also download and unzip ipd_train_pbr_patch.zip!
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 000000–000024 contain objects 0, 8, 18, 19, 20.
Scenes 000025–000049 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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