Datasets:

qq456cvb
/

CPPF

Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/text/text.py", line 98, in _generate_tables
                  batch = f.read(self.config.chunksize)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
                  out = read(*args, **kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^
                File "<frozen codecs>", line 322, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte
              
              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 1343, 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 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1869, 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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End of preview.

CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild — Data

Auxiliary training and evaluation data for CPPF (CVPR 2022).

Code: https://github.com/qq456cvb/CPPF
Project page: https://qq456cvb.github.io/projects/cppf
Pretrained models: https://huggingface.co/qq456cvb/CPPF

Path	Size	Description
`laptop.zip`	~1.1 GB	Blender physically rendered laptop images, used to train the auxiliary lid/keyboard-base segmentation network (`train_laptop_aux.py`). Extract under `data/laptop`.
`nocs_seg.zip`	~20 MB	Detection priors for NOCS REAL275 evaluation with instance segmentation or bounding box masks. Extract under `data/nocs_seg`.
`sunrgbd_extra/`	~4 GB	Prepared extra data for SUN RGB-D evaluation (`sunrgbd_pc_bbox_votes_50k_v1_val.zip` point clouds with bbox votes, plus per-category scan name lists). Place under `data/sunrgbd_extra` and unzip the zip files.

Usage

pip install -U "huggingface_hub[cli]"
hf download qq456cvb/CPPF --repo-type dataset --local-dir cppf_data

Citation

@inproceedings{you2022cppf,
  title={CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild},
  author={You, Yang and Shi, Ruoxi and Wang, Weiming and Lu, Cewu},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2022}
}

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CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild — Data

Contents

Usage

Citation