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@@ -100,4 +100,66 @@ The project provides:
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  ### Example Dataset
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  ```bash
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  # Direct download (may be slow in some regions)
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- huggingface-cli download FastUMIPro/example_data_fastumi_pro_raw --repo-type dataset --local-dir ~/fastumi_data/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Example Dataset
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  ```bash
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  # Direct download (may be slow in some regions)
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+ huggingface-cli download FastUMIPro/example_data_fastumi_pro_raw --repo-type dataset --local-dir ~/fastumi_data/
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+
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+ Mirror Download (Recommended)
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+ bash
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+ # Set mirror endpoint
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+ export HF_ENDPOINT=https://hf-mirror.com
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+
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+ # Download via mirror
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+ huggingface-cli download --repo-type dataset --resume-download FastUMIPro/example_data_fastumi_pro_raw --local-dir ~/fastumi_data/
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+ 📁 Data Structure
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+ Each session represents an independent operation "episode" containing observation data and action sequences.
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+
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+ Directory Structure
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+ text
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+ session_001/
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+ └── device_label_xv_serial/
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+ └── session_timestamp/
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+ ├── RGB_Images/
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+ │ ├── timestamps.csv
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+ │ └── Frames/
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+ │ ├── frame_000001.jpg
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+ │ └── ...
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+ ├── SLAM_Poses/
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+ │ └── slam_raw.txt
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+ ├── Vive_Poses/
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+ │ └── vive_data_tum.txt
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+ ├── ToF_PointClouds/
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+ │ ├── timestamps.csv
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+ │ └── PointClouds/
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+ │ └── pointcloud_000001.pcd
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+ ├── Clamp_Data/
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+ │ └── clamp_data_tum.txt
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+ └── Merged_Trajectory/
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+ ├── merged_trajectory.txt
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+ └── merge_stats.txt
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+ Data Specifications
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+ Data Type Path Shape/Type Description
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+ RGB Images Frames/frame_...jpg (frames, 1080, 1920, 3), uint8, 60 FPS Camera video data
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+ SLAM Poses slam_raw.txt (timestamps, 7), float UMI end-effector poses
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+ Vive Poses vive_data_tum.txt (timestamps, 7), float Vive base station poses
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+ ToF PointClouds PointClouds/pointcloud_...pcd pcd format Time-of-Flight point cloud data
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+ Clamp Data clamp_data_tum.txt (timestamps, 1), float Gripper spacing (mm)
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+ Merged Trajectory merged_trajectory.txt (timestamps, 7), float Fused trajectory (Vive/UMI based on velocity)
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+ Pose Data Format
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+ All pose data (SLAM, Vive, Merged) follow the same format:
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+
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+ text
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+ [Pos_X, Pos_Y, Pos_Z, Q_X, Q_Y, Q_Z, Q_W]
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+
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+ 🔄 Data Conversion
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+ [TBD - Data conversion methods will be added here]
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+
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+ 🤝 Collaboration
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+ FastUMI Pro dataset is available for research collaboration. The full FastUMI-150K dataset has been provided to partner research teams for large-scale model training.
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+
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+ 📞 Contact
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+ For questions or suggestions, please contact the development team:
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+
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+ Lead: Ding Yan
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+
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+
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+ WeChat: Duke_dingyan