Point Clouds

The Panopti Points object represents a point cloud. To add a point cloud to your scene:

import panopti
import numpy as np

viewer = panopti.connect(server_url="http://localhost:8080", viewer_id='client')

points = np.random.randn(128, 3)

viewer.add_points(
    points=points,
    name="MyPointCloud",
    colors=(0.5, 0.5, 0.5),
    size=0.01
)

BaseViewer.add_points

add_points

Adds a Point Cloud object to the viewer.

Parameters:

Name	Type	Description	Default
`points`	`ndarray`	(N, 3) array of point coordinates.	required
`name`	`str`	Name for the points object.	required
`colors`	`Union[Tuple[float, float, float], ndarray]`	(N, 3) or (3,) array of RGB colors for the points.	`(0.5, 0.5, 0.5)`
`size`	`float`	Size of the points.	`0.01`
`visible`	`bool`	Whether the points are visible.	`True`
`opacity`	`float`	Opacity of the points.	`1.0`

Returns:

Name	Type	Description
`Points`	`Points`	The created panopti points object.

Points.update(**kwargs)

update

Updates this point cloud's attributes and propagate updates to the viewer.

Example:

points = viewer.get('MyPoints')
points.update(size=0.02, points=new_points)

Points.delete()

delete

Deletes this point cloud from the viewer.

Points.trans_mat property

trans_mat

Returns the 4x4 transformation matrix corresponding to the object's position, rotation, and scale in the viewer.

Points.viewer_points property

viewer_points

Returns the point cloud points under the transformation given by trans_mat.