cloudViewer.ml.torch.vis.Model

class cloudViewer.ml.torch.vis.Model

The class that helps build visualization models based on attributes, data, and methods.

class BoundingBoxData(name, boxes)

The class to define a bounding box that is used to describe the target location.

Parameters:

• name – The name of the pointcloud array.

• boxes – The array of pointcloud that define the bounding box.

__init__(name, boxes)

__init__()

calc_bounds_for(name)

Calculate the bounds for a pointcloud.

create_cams(name, cam_dict, key='img', update=False)

Create images based on the data provided.

The data should include name and cams.

create_point_cloud(data)

Create a point cloud based on the data provided.

The data should include name and points.

get_attr(name, attr_name)

Get an attribute from data based on the name passed.

get_attr_minmax(attr_name, channel)

Get the minimum and maximum for an attribute.

get_attr_shape(name, attr_name)

Get a shape from data based on the name passed.

get_available_attrs(names)

Get a list of attributes based on the name.

is_loaded(name)

Check if the data is loaded.

load(name, fail_if_no_space=False)

If data is not loaded, then load the data.

unload(name)

bounding_box_prefix = 'Bounding Boxes/'