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@@ -22,7 +22,7 @@ dataset_info:
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  - name: slam_poses
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  sequence: float32
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  description: SLAM pose trajectories
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- - name: vive_poses
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  sequence: float32
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  description: Vive tracking system poses
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  - name: point_clouds
@@ -39,35 +39,21 @@ dataset_info:
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  data_files: "**/*"
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  ---
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- <!-- 顶部横幅区域 -->
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-
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- <div align="center">
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-
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  # Fast-UMI: A Scalable and Hardware-Independent Universal Manipulation Interface
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  **Welcome to the official repository of FastUMI Pro!**
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- [[Viewed](https://img.shields.io/badge/Viewed-100%2B-blue)](#)
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-
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- [[All](https://img.shields.io/badge/All-Data-green)](#)
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-
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- [!Pattern](https://img.shields.io/badge/Pattern-Multi--modal-orange)](#)
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-
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- [[New](https://img.shields.io/badge/New-4s-brightgreen)](#)
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-
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- [HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-HuggingFace-yellow)](https://huggingface.co/datasets/FastUMI)
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-
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- [[GitHub](https://img.shields.io/badge/GitHub-Repository-black)](https://github.com/FastUMI)
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-
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- [[FastUMI Data](https://img.shields.io/badge/FastUMI-Data-purple)](#)
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-
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-
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- [Project Page](https://fastumi.com/pro/) |
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-
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- [Hugging Face Dataset](https://huggingface.co/datasets/FastUMI) |
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-
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- [PDF (Early Version)](https://arxiv.org/abs/2409.19499) |
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-
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  [PDF (TBA)](#)
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  *FastUMI Pro dataset document*
@@ -99,9 +85,9 @@ FastUMI (Fast Universal Manipulation Interface) is a dataset and interface frame
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  ## 📊 Dataset Overview
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101
  FastUMI Pro builds upon FastUMI with enhanced features:
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- - Higher precision trajectory data
103
- - Support for more diverse robot embodiments, truly enabling "one-brain-multi-form" applications
104
- - Comprehensive data leadership in the field
105
 
106
  The original FastUMI open-sourced FastUMI-150K containing approximately 150,000 real-world manipulation trajectories, which was first provided to selected research partners for training large-scale VLA (Vision-Language-Action) models.
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@@ -114,15 +100,12 @@ The original FastUMI open-sourced FastUMI-150K containing approximately 150,000
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  huggingface-cli download FastUMIPro/example_data_fastumi_pro_raw --repo-type dataset --local-dir ~/fastumi_data/
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  # Mirror acceleration solution
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- export HF_ENDPOINT=https://hf-mirror.com
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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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- ```
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-
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- ## 📁 Dataset Structure
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123
  FastUMI PRO uses raw format containing various types of raw sensor data, which can be easily converted to other formats. The raw format facilitates querying and validating original sensor outputs for rapid problem identification.
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- ```plaintext
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  multi_sessions_{time}_{serial number}
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  └──session_001
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  └── device_label_xv_serial/
@@ -151,74 +134,80 @@ multi_sessions_{time}_{serial number}
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  └──session_002
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  └──session_003
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  └──session_004
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- ```
155
 
156
- ### Directory Descriptions
 
157
 
158
- - **`session_xxx`**: Individual data collection session
159
- - **`RGB_Images`**: Frame images supporting multiple viewpoints; supports both Images and Videos
160
- - **`SLAM_Poses`**: UMI pose data
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- - **`Vive_Poses`**: Vive tracking system pose data
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- - **`ToF_PointClouds`**: Time-of-Flight point cloud raw data (depth)
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- - **`Merged_Trajectory`**: Trajectory data
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- ## ⚙️ Data Specifications
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- ### Attributes
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- - **`sim`**:
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- - `False`: Real environment data
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- - `True`: Simulation data
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173
- ### Observations
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- - **`observations/images/`**: Camera image data
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- - Default camera name: `front`
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- - Shape: `(frames, 1920, 1080, 3)`
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- - Data type: `uint8`
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- - Compression: `gzip` (level 4)
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- - **`observations/qpos`**:
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- - Type: Floating point dataset
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- - Shape: `(timesteps, 7)`
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- - Meaning: Robot end-effector position + quaternion orientation
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- - Order: `[Pos X, Pos Y, Pos Z, Q_X, Q_Y, Q_Z, Q_W]`
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- ### Actions
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- - Type: Floating point dataset
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- - Shape: `(timesteps, 7)`
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- - Meaning: Actions (same structure as qpos, typically mirroring qpos)
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193
- ## 🔄 Data Conversion
194
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
195
  Supports one-click export to specific formats via web toolchain, or conversion between formats using tools like:
196
 
197
- - **Any4lerobot**: [GitHub - Tavish9/any4lerobot](https://github.com/Tavish9/any4lerobot)
198
 
199
  Conversion paths supported:
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- - hdf5 → lerobot v3.0
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- - hdf5 → lerobot(Pi0) v2.0
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- - hdf5 → rlds
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- ## 📰 News
205
 
 
206
 
207
- ## 📄 License
208
 
 
 
209
  [License information to be added]
210
 
211
- ## 📞 Contact
212
-
213
  For any questions or suggestions, please contact the development team:
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- - **Lead**: [Name]
215
- - **Email**: [Email Address]
216
- - **WeChat**: [WeChat ID]
217
 
218
- ---
219
 
220
- <div align="center">
221
 
222
- **FastUMI Pro** - *Advancing Robot Manipulation Through Scalable Data Systems*
223
 
224
- </div>
 
22
  - name: slam_poses
23
  sequence: float32
24
  description: SLAM pose trajectories
25
+ - name: vive_poses
26
  sequence: float32
27
  description: Vive tracking system poses
28
  - name: point_clouds
 
39
  data_files: "**/*"
40
  ---
41
 
 
 
 
 
42
  # Fast-UMI: A Scalable and Hardware-Independent Universal Manipulation Interface
43
 
44
  **Welcome to the official repository of FastUMI Pro!**
45
 
46
+ [![Viewed](https://img.shields.io/badge/Viewed-100%2B-blue)](#)
47
+ [![All](https://img.shields.io/badge/All-Data-green)](#)
48
+ [![Pattern](https://img.shields.io/badge/Pattern-Multi--modal-orange)](#)
49
+ [![New](https://img.shields.io/badge/New-4s-brightgreen)](#)
50
+ [![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97-HuggingFace-yellow)](https://huggingface.co/datasets/FastUMI)
51
+ [![GitHub](https://img.shields.io/badge/GitHub-Repository-black)](https://github.com/FastUMI)
52
+ [![FastUMI Data](https://img.shields.io/badge/FastUMI-Data-purple)](#)
53
+
54
+ [Project Page](https://fastumi.com/pro/) |
55
+ [Hugging Face Dataset](https://huggingface.co/datasets/FastUMI) |
56
+ [PDF (Early Version)](https://arxiv.org/abs/2409.19499) |
 
 
 
 
 
 
 
 
 
 
57
  [PDF (TBA)](#)
58
 
59
  *FastUMI Pro dataset document*
 
85
  ## 📊 Dataset Overview
86
 
87
  FastUMI Pro builds upon FastUMI with enhanced features:
88
+ * Higher precision trajectory data
89
+ * Support for more diverse robot embodiments, truly enabling "one-brain-multi-form" applications
90
+ * Comprehensive data leadership in the field
91
 
92
  The original FastUMI open-sourced FastUMI-150K containing approximately 150,000 real-world manipulation trajectories, which was first provided to selected research partners for training large-scale VLA (Vision-Language-Action) models.
93
 
 
100
  huggingface-cli download FastUMIPro/example_data_fastumi_pro_raw --repo-type dataset --local-dir ~/fastumi_data/
101
 
102
  # Mirror acceleration solution
103
+ export HF_ENDPOINT=[https://hf-mirror.com](https://hf-mirror.com)
104
  huggingface-cli download --repo-type dataset --resume-download FastUMIPro/example_data_fastumi_pro_raw --local-dir ~/fastumi_data/
 
 
 
105
 
106
+ 📁 Dataset Structure
107
  FastUMI PRO uses raw format containing various types of raw sensor data, which can be easily converted to other formats. The raw format facilitates querying and validating original sensor outputs for rapid problem identification.
108
 
 
109
  multi_sessions_{time}_{serial number}
110
  └──session_001
111
  └── device_label_xv_serial/
 
134
  └──session_002
135
  └──session_003
136
  └──session_004
 
137
 
138
+ Directory Descriptions
139
+ session_xxx: Individual data collection session
140
 
141
+ RGB_Images: Frame images supporting multiple viewpoints; supports both Images and Videos
 
 
 
 
 
142
 
143
+ SLAM_Poses: UMI pose data
144
 
145
+ Vive_Poses: Vive tracking system pose data
146
 
147
+ ToF_PointClouds: Time-of-Flight point cloud raw data (depth)
 
 
148
 
149
+ Merged_Trajectory: Trajectory data
150
 
151
+ ⚙️ Data Specifications
152
+ Attributes
153
+ sim:
 
 
154
 
155
+ False: Real environment data
 
 
 
 
156
 
157
+ True: Simulation data
158
 
159
+ Observations
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+ observations/images/: Camera image data
 
161
 
162
+ Default camera name: front
163
 
164
+ Shape: (frames, 1920, 1080, 3)
165
+
166
+ Data type: uint8
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+
168
+ Compression: gzip (level 4)
169
+
170
+ observations/qpos:
171
+
172
+ Type: Floating point dataset
173
+
174
+ Shape: (timesteps, 7)
175
+
176
+ Meaning: Robot end-effector position + quaternion orientation
177
+
178
+ Order: [Pos X, Pos Y, Pos Z, Q_X, Q_Y, Q_Z, Q_W]
179
+
180
+ Actions
181
+ Type: Floating point dataset
182
+
183
+ Shape: (timesteps, 7)
184
+
185
+ Meaning: Actions (same structure as qpos, typically mirroring qpos)
186
+
187
+ 🔄 Data Conversion
188
  Supports one-click export to specific formats via web toolchain, or conversion between formats using tools like:
189
 
190
+ Any4lerobot: GitHub - Tavish9/any4lerobot
191
 
192
  Conversion paths supported:
 
 
 
193
 
194
+ hdf5 lerobot v3.0
195
 
196
+ hdf5 → lerobot(Pi0) v2.0
197
 
198
+ hdf5 rlds
199
 
200
+ 📰 News
201
+ 📄 License
202
  [License information to be added]
203
 
204
+ 📞 Contact
 
205
  For any questions or suggestions, please contact the development team:
 
 
 
206
 
207
+ Lead: [Name]
208
 
209
+ Email: [Email Address]
210
 
211
+ WeChat: [WeChat ID]
212
 
213
+ FastUMI Pro - Advancing Robot Manipulation Through Scalable Data Systems