| ---
|
| license: mit
|
| task_categories:
|
| - other
|
| tags:
|
| - pose-estimation
|
| - point-cloud
|
| - 3d
|
| - cvpr2022
|
| pretty_name: CPPF Training and Evaluation Data
|
| ---
|
|
|
| # CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild — Data
|
|
|
| Auxiliary training and evaluation data for [CPPF (CVPR 2022)](https://openaccess.thecvf.com/content/CVPR2022/html/You_CPPF_Towards_Robust_Category-Level_9D_Pose_Estimation_in_the_Wild_CVPR_2022_paper.html).
|
|
|
| - **Code**: https://github.com/qq456cvb/CPPF
|
| - **Project page**: https://qq456cvb.github.io/projects/cppf
|
| - **Pretrained models**: https://huggingface.co/qq456cvb/CPPF
|
|
|
| ## Contents
|
|
|
| | 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
|
|
|
| ```bash
|
| pip install -U "huggingface_hub[cli]"
|
| hf download qq456cvb/CPPF --repo-type dataset --local-dir cppf_data
|
| ```
|
|
|
| ## Citation
|
|
|
| ```bibtex
|
| @inproceedings{you2022cppf,
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| 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},
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| year={2022}
|
| }
|
| ```
|
|
|
