pysdic.View.visualize_projected_point_cloud

View.visualize_projected_point_cloud(point_cloud, points_color='black', points_size=5, points_opacity=1.0, clip_sensor=True, show_pixel_grid=False, title=None)

Visualize the projected 2D points of a pysdic.PointCloud on a 2D plot using matplotlib.

Simply calls the camera’s own visualization method with image from the view.

See also

• pysdic.Camera.visualize_projected_point_cloud() for the camera’s own visualization method.

• pysdic.View.visualize_projected_mesh() for visualizing projected meshes.

• pysdic.View.visualize_image() for visualizing the view’s image.

• pysdic.PointCloud() for the structure of the input point cloud.

Parameters:

• point_cloud (PointCloud) – An instance of PointCloud containing the 3D points in the world coordinate system to be projected and visualized.

• points_color (str, optional) – The color of the projected points in the plot. Default is “black”.

• points_size (int, optional) – The size of the projected points in the plot. Default is 5.

• points_opacity (float, optional) – The opacity of the projected points in the plot. Default is 1.0 (fully opaque).

• clip_sensor (bool, optional) – If True, only the points that are projected within the camera sensor dimensions are visualized. Default is True.

• show_pixel_grid (bool, optional) – If True, a grid representing the pixel layout of the camera sensor is displayed in the background. Default is False.

• title (Optional[str], optional) – An optional title for the plot. If None, no title is displayed. Default is None.

Return type:

None