Returns a generator instance. Args: model (nn.Module): the model which is used cfg (dict): config dictionary device (dev

Returns the generator object. Args: model (nn.Module): Occupancy Network model cfg (dict): imported yaml config device (

Returns the model instance. Args: cfg (dict): config dictionary device (device): pytorch device dataset (dataset): datas

Get pose of all objects with a semantic label.

Returns a trainer instance. Args: model (nn.Module): the model which is used optimizer (optimizer): pytorch optimizer cf

Returns the trainer object. Args: model (nn.Module): the Occupancy Network model optimizer (optimizer): pytorch optimizer object

Initialize sensors in the list provided. Args: viewport (omni.kit.viewport._viewport.IViewportWindow): Viewport from which to r

get current exit status for this object Returns: bool: True if exit() was called previously, False otherwise

Loads config file. Args: path (str): path to config file default_path (bool): whether to use default path

Option : Load OBJ

Normalize coordinate to [0, 1] for unit cube experiments. Corresponds to our 3D model Args: p (tensor): point padding (f

Projects points to the camera plane. Args: points (tensor): points tensor transform (tensor): transformation matrices

RBO point estimate based on extrapolating observed overlap. See equation (32) in paper. NOTE: The doctests weren't verified against manual com

Reads vertices and faces from an off file. :param file: path to file to read :type file: str :return: vertices and faces as lists of

Registers modules in current module dictionary.

Change the up axis of the current stage Args: axis: valid values are `UsdGeom.Tokens.y`, or `UsdGeom.Tokens.z`

Start worker threads.

Waits for all tasks to be completed before stopping worker threads.

Puts the model to the device. Args: device (device): pytorch device

Performs a training step. Args: data (dict): data dictionary