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Update README.md

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@@ -190,8 +190,6 @@ as summarized below.
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  | Gripper control | gripper_width | (1,) | Actual gripper width measurement in meter. |
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  | Pose control | ee_positions | (7,) | End effector pose (tx, ty, tz, rx, ry, rz, rw), where (tx, ty, tz) is relative position from the arm base coordinate , (rx, ry, rz, rw) is quaternion rotation. |
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  | Joint effort | efforts | (7,) | Effort of 6 joints and gripper. (Provided by official API, precision not guaranteed. |
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- | Master Joint effort | master_efforts | (7,) | Effort of 6 master joints and gripper. (Provided by official API, precision not guaranteed. |
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- | Master joint control | master_qpos | (6,) | Master joint angle (in radians) from the base to the end effector. |
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  | Time stamp | timestamp | (1,) | Floating point timestamp (in mileseconds) of each frame. |
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  ## Convert to LeRobot
@@ -206,14 +204,14 @@ robot embodiments (UR5, ALOHA, DOS-W1), you can adapt the script accordingly.
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  ### Prerequisites
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  - Python 3.9+ with the following packages:
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- - `lerobot==0.1.0`
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  - `opencv-python`
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  - `numpy`
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- - Configure `$LEROBOT_HOME` (defaults to `~/.lerobot` if unset).
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  ```bash
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- pip install lerobot==0.1.0 opencv-python numpy
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- export LEROBOT_HOME="/path/to/lerobot_home"
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  ```
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  ### Usage
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  ### Output
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- - Frames and metadata are saved to `$LEROBOT_HOME/<repo-name>`.
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  - At the end, the script calls `dataset.consolidate(run_compute_stats=False)`. If you require aggregated statistics, run
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  it with `run_compute_stats=True` or execute a separate stats job.
 
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  | Gripper control | gripper_width | (1,) | Actual gripper width measurement in meter. |
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  | Pose control | ee_positions | (7,) | End effector pose (tx, ty, tz, rx, ry, rz, rw), where (tx, ty, tz) is relative position from the arm base coordinate , (rx, ry, rz, rw) is quaternion rotation. |
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  | Joint effort | efforts | (7,) | Effort of 6 joints and gripper. (Provided by official API, precision not guaranteed. |
 
 
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  | Time stamp | timestamp | (1,) | Floating point timestamp (in mileseconds) of each frame. |
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  ## Convert to LeRobot
 
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  ### Prerequisites
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  - Python 3.9+ with the following packages:
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+ - `lerobot@0cf864870cf29f4738d3ade893e6fd13fbd7cdb5`
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  - `opencv-python`
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  - `numpy`
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+ - Configure `$HF_LEROBOT_HOME` (defaults to `~/.cache/huggingface/lerobot` if unset).
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  ```bash
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+ pip install git+https://github.com/huggingface/lerobot@0cf864870cf29f4738d3ade893e6fd13fbd7cdb5 opencv-python numpy
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+ export HF_LEROBOT_HOME="/path/to/lerobot_home"
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  ```
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  ### Usage
 
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  ### Output
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+ - Frames and metadata are saved to `$HF_LEROBOT_HOME/<repo-name>`.
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  - At the end, the script calls `dataset.consolidate(run_compute_stats=False)`. If you require aggregated statistics, run
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  it with `run_compute_stats=True` or execute a separate stats job.