Provides the sensor type of the sensor this object is associated with. @returns Type of the sensor. */

Returns a the vendor name for this device. */

! * @brief convert a byte to a uppercase hex representation * @param[in] byte byte to represent * @return representation ("00".."FF")

return whether the iterator is at end

@brief return whether value is an unsigned integer number @sa https://json.nlohmann.me/api/basic_json/is_number_unsigned/

! @brief determine system byte order @return true if and only if system's byte order is little endian @note from https://stackoverflow.com/a/1001328

! @brief post-increment (it++) @pre The iterator is initialized; i.e. `m_object != nullptr`. */

! @brief post-decrement (it--) @pre The iterator is initialized; i.e. `m_object != nullptr`. */

@brief remove last reference token @sa https://json.nlohmann.me/api/json_pointer/pop_back/

Default: return unchanged.

This is called at the start of one episode to clear out the cached action chunks in last run.

将6D旋转表示转换为3x3旋转矩阵(使用Gram-Schmidt正交化) 参数: rot_6d: numpy array of shape (..., 6) 返回: numpy array of shape (..

将旋转矩阵 R 转换为 6D 旋转表示 通过提取旋转矩阵的前六个元素

Enable or disable mirroring for this stream. @param [in] isEnabled true to enable mirroring, false to disable it. @returns Status code indicating th

Setter function for the pixel format of this VideoMode. Application use of this function is not recommended. Instead, use @ref SensorInfo::getSuppo

Stop using the library. Unload all drivers, close all streams and devices. Once @ref shutdown was called, no other calls to OpenNI is allowed. */

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Query the XVLA model server for next action given the current image. Returns: np.ndarray of shape (D_action,)

Args: obs: (dict) environment observations - images/cam_high - images/cam_left_wrist - eef_6d

@brief exchanges the values @sa https://json.nlohmann.me/api/basic_json/swap/

! @param[in] j JSON value to serialize @pre j.type() == value_t::object */

! @param[in] j JSON value to serialize */

! @param[in] j JSON value to serialize */

机械臂消息发布

Minimal FastAPI app for XVLA inference. Args: processor: callable(images, text) -> Dict[str, torch.Tensor]

Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token first unpad the input, th

Based on CMAKE_PREFIX_PATH return all catkin workspaces. :param include_fuerte: The flag if paths starting with '/opt/ros/fuerte' should be

Check if we can use PyTorch fused scaled_dot_product_attention.

Open HDF5 from local FS or remote backend via mmengine.fileio.