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--- |
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license: mit |
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pretty_name: garment-tracking |
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--- |
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# Dataset Card for VR-Folding Dataset |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Dataset Structure](#dataset-structure) |
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- [Dataset Example](#dataset-example) |
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## Dataset Description |
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- **Homepage:** https://garment-tracking.robotflow.ai |
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- **Repository:** [GitHub](https://github.com/xiaoxiaoxh/GarmentTracking) |
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- **Paper:** [GarmentTracking: Category-Level Garment Pose Tracking](https://arxiv.org/pdf/2303.13913.pdf) |
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- **Point of Contact:** |
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## Dataset Summary |
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This is the **VR-Folding** dataset created by the CVPR 2023 paper [GarmentTracking: Category-Level Garment Pose Tracking](https://garment-tracking.robotflow.ai). |
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This dataset is recorded with a system called [VR-Garment](https://github.com/xiaoxiaoxh/VR-Garment), which is a garment-hand interaction environment based on Unity. |
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To download the dataset, use the following shell snippet: |
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``` |
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git lfs install |
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git clone https://huggingface.co/datasets/robotflow/garment-tracking |
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# if you want to clone without large files – just their pointers |
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# prepend your git clone with the following env var: GIT_LFS_SKIP_SMUDGE=1 |
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# merge multiple .zip files (e.g. folding) into one .zip file |
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cd data/folding |
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cat folding_dataset.z* > folding_dataset.zip |
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# unzip |
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unzip folding_dataset.zip |
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``` |
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All the data are stored in [zarr](https://zarr.readthedocs.io/en/stable/) format. |
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## Dataset Structure |
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Here is the detailed stucture of a data example ([zarr](https://zarr.readthedocs.io/en/stable/) format) of one frame: |
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``` |
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00068_Tshirt_000000_000000 |
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├── grip_vertex_id |
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│ ├── left_grip_vertex_id (1,) int32 |
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│ └── right_grip_vertex_id (1,) int32 |
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├── hand_pose |
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│ ├── left_hand_euler (25, 3) float32 |
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│ ├── left_hand_pos (25, 3) float32 |
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│ ├── right_hand_euler (25, 3) float32 |
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│ └── right_hand_pos (25, 3) float32 |
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├── marching_cube_mesh |
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│ ├── is_vertex_on_surface (6410,) bool |
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│ ├── marching_cube_faces (12816, 3) int32 |
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│ └── marching_cube_verts (6410, 3) float32 |
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├── mesh |
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│ ├── cloth_faces_tri (8312, 3) int32 |
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│ ├── cloth_nocs_verts (4434, 3) float32 |
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│ └── cloth_verts (4434, 3) float32 |
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└── point_cloud |
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├── cls (30000,) uint8 |
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├── nocs (30000, 3) float16 |
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├── point (30000, 3) float16 |
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├── rgb (30000, 3) uint8 |
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└── sizes (4,) int64 |
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``` |
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Specifically, we render 4-view RGB-D images with Unity and generate concated point clouds for each frame. Here `grip_vertex_id` is the vertex index list of the grasped points of the mesh. |
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# Dataset Example |
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Please see [example](data/data_examples/README.md) for example data and visualization scripts. |
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Here are two video examples for flattening and folding task. |
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